diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 6daad7ba..872f4462 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -31,12 +31,12 @@ jobs:
       fail-fast: False
       matrix:
         os: [windows, ubuntu, macos]
-        python-version: ["3.12"]
+        python-version: ["3.13"]
         include:
           - os: ubuntu
             python-version: "3.11"
           - os: ubuntu
-            python-version: "3.10"
+            python-version: "3.12"
           # Disabled for now. See https://github.com/projectmesa/mesa/issues/1253
           #- os: ubuntu
           #  python-version: 'pypy-3.8'
diff --git a/.gitignore b/.gitignore
index 21cbfdcf..ede87b1b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -152,4 +152,6 @@ cython_debug/
 .idea/
 
 .vscode/
-*.code-workspace
\ No newline at end of file
+*.code-workspace
+llm_rules.md
+.python-version
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index fb951568..fcbda118 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -17,7 +17,7 @@ repos:
     rev: v3.19.1
     hooks:
     -   id: pyupgrade
-        args: [--py310-plus]
+        args: [--py311-plus]
 -   repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v5.0.0
     hooks:
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 2910272b..6aa0f01a 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -110,6 +110,17 @@ It is recommended to set up a virtual environment before installing dependencies
 
   - If using UV: `uv run pytest --cov`
 
+- **Optional: Enable runtime type checking** during development for enhanced type safety:
+
+  ```sh
+  MESA_FRAMES_RUNTIME_TYPECHECKING=1 uv run pytest --cov
+  ```
+
+  !!! tip "Automatic with Hatch"
+      If you're using Hatch development environment (`hatch shell dev`), runtime type checking is automatically enabled. No manual setup needed!
+
+  For more details on runtime type checking, see the [Development Guidelines](https://projectmesa.github.io/mesa-frames/development/).
+
 #### **Step 6: Documentation Updates (If Needed)** 📖
 
 - If you add a new feature, update the documentation accordingly.
diff --git a/docs/general/development/index.md b/docs/general/development/index.md
index d2fe2173..f3d45640 100644
--- a/docs/general/development/index.md
+++ b/docs/general/development/index.md
@@ -1,4 +1,147 @@
 # Development Guidelines
 
-!!! warning
-    This page is in construction, check it again soon.
+## Runtime Type Checking 🔍
+
+mesa-frames includes optional runtime type checking using [beartype](https://github.com/beartype/beartype) for development and debugging purposes. This feature helps catch type-related errors early during development and testing.
+
+!!! tip "Automatic for Hatch Development Environment"
+    When using Hatch for development (`hatch shell dev`), runtime type checking is **automatically enabled** by default. No manual setup required!
+
+### Development Environment Setup
+
+#### Option 1: Hatch Development Environment (Recommended)
+
+The easiest way to enable runtime type checking is to use Hatch's development environment:
+
+```bash
+# Enter the development environment (auto-enables runtime type checking)
+hatch shell dev
+
+# Verify it's enabled
+python -c "import os; print('Runtime type checking:', os.getenv('MESA_FRAMES_RUNTIME_TYPECHECKING'))"
+# → Runtime type checking: true
+```
+
+#### Option 2: Manual Environment Variable
+
+For other development setups, you can manually enable runtime type checking:
+
+Runtime type checking can be enabled by setting the `MESA_FRAMES_RUNTIME_TYPECHECKING` environment variable:
+
+```bash
+export MESA_FRAMES_RUNTIME_TYPECHECKING=1
+# or
+export MESA_FRAMES_RUNTIME_TYPECHECKING=true
+# or
+export MESA_FRAMES_RUNTIME_TYPECHECKING=yes
+```
+
+### Usage Examples
+
+#### For Development and Testing
+
+```bash
+# Enable runtime type checking for testing
+MESA_FRAMES_RUNTIME_TYPECHECKING=1 uv run pytest
+
+# Enable runtime type checking for running scripts
+MESA_FRAMES_RUNTIME_TYPECHECKING=1 uv run python your_script.py
+```
+
+#### In Your IDE or Development Environment
+
+Add the environment variable to your development environment configuration:
+
+=== "VS Code"
+    In your `.vscode/settings.json`:
+    ```json
+    {
+        "python.env": {
+            "MESA_FRAMES_RUNTIME_TYPECHECKING": "1"
+        }
+    }
+    ```
+
+=== "PyCharm"
+    In your run configuration, add the environment variable:
+    ```
+    MESA_FRAMES_RUNTIME_TYPECHECKING=1
+    ```
+
+### How It Works
+
+When enabled, the runtime type checking system:
+
+1. **Automatically instruments** all mesa-frames packages with beartype decorators
+2. **Validates function arguments** and return values at runtime
+3. **Provides detailed error messages** when type mismatches occur
+4. **Helps catch type-related bugs** during development
+
+### Requirements
+
+Runtime type checking requires the optional `beartype` dependency:
+
+```bash
+# Install beartype for runtime type checking
+uv add beartype
+# or
+pip install beartype
+```
+
+!!! note "Optional Dependency"
+    If `beartype` is not installed and runtime type checking is enabled, mesa-frames will issue a warning and continue without type checking.
+
+### Performance Considerations
+
+!!! warning "Development Only"
+    Runtime type checking adds significant overhead and should **only be used during development and testing**. Do not enable it in production environments.
+
+The overhead includes:
+
+- Function call interception and validation
+- Type checking computations at runtime
+- Memory usage for type checking infrastructure
+
+### When to Use Runtime Type Checking
+
+✅ **Recommended for:**
+
+- Development and debugging
+- Writing new features
+- Running unit tests
+- Troubleshooting type-related issues
+- Contributing to mesa-frames
+
+❌ **Not recommended for:**
+
+- Production deployments
+- Performance benchmarking
+- Large-scale simulations
+- Final model runs
+
+### Troubleshooting
+
+If you encounter issues with runtime type checking:
+
+1. **Check beartype installation:**
+
+   ```bash
+   uv run python -c "import beartype; print(beartype.__version__)"
+   ```
+
+2. **Verify environment variable:**
+
+   ```bash
+   echo $MESA_FRAMES_RUNTIME_TYPECHECKING
+   ```
+
+3. **Check for warnings** in your application logs
+
+4. **Disable temporarily** if needed:
+
+   ```bash
+   unset MESA_FRAMES_RUNTIME_TYPECHECKING
+   ```
+
+!!! tip "Pro Tip"
+    Runtime type checking is particularly useful when developing custom AgentSet implementations or working with complex DataFrame operations where type safety is crucial.
diff --git a/mesa_frames/__init__.py b/mesa_frames/__init__.py
index 17ef3897..1a3ef48b 100644
--- a/mesa_frames/__init__.py
+++ b/mesa_frames/__init__.py
@@ -41,9 +41,28 @@ def __init__(self, width, height):
 GitHub: https://github.com/projectmesa/mesa-frames
 """
 
+from __future__ import annotations
+
+import os
+
+# Enable runtime type checking if requested via environment variable
+if os.getenv("MESA_FRAMES_RUNTIME_TYPECHECKING", "").lower() in ("1", "true", "yes"):
+    try:
+        from beartype.claw import beartype_this_package
+
+        beartype_this_package()
+    except ImportError:
+        import warnings
+
+        warnings.warn(
+            "MESA_FRAMES_RUNTIME_TYPECHECKING is enabled but beartype is not installed.",
+            ImportWarning,
+            stacklevel=2,
+        )
+
 from mesa_frames.concrete.agents import AgentsDF
-from mesa_frames.concrete.model import ModelDF
 from mesa_frames.concrete.agentset import AgentSetPolars
+from mesa_frames.concrete.model import ModelDF
 from mesa_frames.concrete.space import GridPolars
 
 __all__ = [
diff --git a/mesa_frames/abstract/agents.py b/mesa_frames/abstract/agents.py
index 806d4384..d3bc779b 100644
--- a/mesa_frames/abstract/agents.py
+++ b/mesa_frames/abstract/agents.py
@@ -45,10 +45,9 @@ def __init__(self, model):
 from abc import abstractmethod
 from collections.abc import Callable, Collection, Iterable, Iterator, Sequence
 from contextlib import suppress
-from typing import TYPE_CHECKING, Literal
+from typing import Any, Literal, Self, overload
 
 from numpy.random import Generator
-from typing_extensions import Any, Self, overload
 
 from mesa_frames.abstract.mixin import CopyMixin, DataFrameMixin
 from mesa_frames.types_ import (
@@ -61,11 +60,6 @@ def __init__(self, model):
     Series,
 )
 
-if TYPE_CHECKING:
-    from mesa_frames.abstract.space import SpaceDF
-    from mesa_frames.concrete.agents import AgentSetDF
-    from mesa_frames.concrete.model import ModelDF
-
 
 class AgentContainer(CopyMixin):
     """An abstract class for containing agents. Defines the common interface for AgentSetDF and AgentsDF."""
@@ -73,21 +67,24 @@ class AgentContainer(CopyMixin):
     _copy_only_reference: list[str] = [
         "_model",
     ]
-    _model: ModelDF
+    _model: mesa_frames.concrete.model.ModelDF
 
     @abstractmethod
     def __init__(self) -> None: ...
 
     def discard(
         self,
-        agents: IdsLike | AgentSetDF | Collection[AgentSetDF],
+        agents: IdsLike
+        | AgentMask
+        | mesa_frames.concrete.agents.AgentSetDF
+        | Collection[mesa_frames.concrete.agents.AgentSetDF],
         inplace: bool = True,
     ) -> Self:
         """Remove agents from the AgentContainer. Does not raise an error if the agent is not found.
 
         Parameters
         ----------
-        agents : IdsLike | 'AgentSetDF' | Collection['AgentSetDF']
+        agents : IdsLike | AgentMask | mesa_frames.concrete.agents.AgentSetDF | Collection[mesa_frames.concrete.agents.AgentSetDF]
             The agents to remove
         inplace : bool
             Whether to remove the agent in place. Defaults to True.
@@ -95,6 +92,7 @@ def discard(
         Returns
         -------
         Self
+            The updated AgentContainer.
         """
         with suppress(KeyError, ValueError):
             return self.remove(agents, inplace=inplace)
@@ -103,14 +101,17 @@ def discard(
     @abstractmethod
     def add(
         self,
-        agents: DataFrameInput | AgentSetDF | Collection[AgentSetDF],
+        agents: DataFrame
+        | DataFrameInput
+        | mesa_frames.concrete.agents.AgentSetDF
+        | Collection[mesa_frames.concrete.agents.AgentSetDF],
         inplace: bool = True,
     ) -> Self:
         """Add agents to the AgentContainer.
 
         Parameters
         ----------
-        agents : DataFrameInput | AgentSetDF | Collection[AgentSetDF]
+        agents : DataFrame | DataFrameInput | mesa_frames.concrete.agents.AgentSetDF | Collection[mesa_frames.concrete.agents.AgentSetDF]
             The agents to add.
         inplace : bool
             Whether to add the agents in place. Defaults to True.
@@ -128,15 +129,19 @@ def contains(self, agents: int) -> bool: ...
 
     @overload
     @abstractmethod
-    def contains(self, agents: AgentSetDF | IdsLike) -> BoolSeries: ...
+    def contains(
+        self, agents: mesa_frames.concrete.agents.AgentSetDF | IdsLike
+    ) -> BoolSeries: ...
 
     @abstractmethod
-    def contains(self, agents: IdsLike) -> bool | BoolSeries:
+    def contains(
+        self, agents: mesa_frames.concrete.agents.AgentSetDF | IdsLike
+    ) -> bool | BoolSeries:
         """Check if agents with the specified IDs are in the AgentContainer.
 
         Parameters
         ----------
-        agents : IdsLike
+        agents : mesa_frames.concrete.agents.AgentSetDF | IdsLike
             The ID(s) to check for.
 
         Returns
@@ -150,11 +155,11 @@ def contains(self, agents: IdsLike) -> bool | BoolSeries:
     def do(
         self,
         method_name: str,
-        *args,
+        *args: Any,
         mask: AgentMask | None = None,
         return_results: Literal[False] = False,
         inplace: bool = True,
-        **kwargs,
+        **kwargs: Any,
     ) -> Self: ...
 
     @overload
@@ -162,12 +167,12 @@ def do(
     def do(
         self,
         method_name: str,
-        *args,
+        *args: Any,
         mask: AgentMask | None = None,
         return_results: Literal[True],
         inplace: bool = True,
-        **kwargs,
-    ) -> Any | dict[AgentSetDF, Any]: ...
+        **kwargs: Any,
+    ) -> Any | dict[mesa_frames.concrete.agents.AgentSetDF, Any]: ...
 
     @abstractmethod
     def do(
@@ -178,7 +183,7 @@ def do(
         return_results: bool = False,
         inplace: bool = True,
         **kwargs: Any,
-    ) -> Self | Any | dict[AgentSetDF, Any]:
+    ) -> Self | Any | dict[mesa_frames.concrete.agents.AgentSetDF, Any]:
         """Invoke a method on the AgentContainer.
 
         Parameters
@@ -198,7 +203,7 @@ def do(
 
         Returns
         -------
-        Self | Any | dict[AgentSetDF, Any]
+        Self | Any | dict[mesa_frames.concrete.agents.AgentSetDF, Any]
             The updated AgentContainer or the result of the method.
         """
         ...
@@ -238,14 +243,19 @@ def get(
     @abstractmethod
     def remove(
         self,
-        agents: IdsLike | AgentSetDF | Collection[AgentSetDF],
+        agents: (
+            IdsLike
+            | AgentMask
+            | mesa_frames.concrete.agents.AgentSetDF
+            | Collection[mesa_frames.concrete.agents.AgentSetDF]
+        ),
         inplace: bool = True,
     ) -> Self:
         """Remove the agents from the AgentContainer.
 
         Parameters
         ----------
-        agents : IdsLike | AgentSetDF | Collection[AgentSetDF]
+        agents : IdsLike | AgentMask | mesa_frames.concrete.agents.AgentSetDF | Collection[mesa_frames.concrete.agents.AgentSetDF]
             The agents to remove.
         inplace : bool, optional
             Whether to remove the agent in place.
@@ -383,13 +393,17 @@ def sort(
         """
 
     def __add__(
-        self, other: DataFrameInput | AgentSetDF | Collection[AgentSetDF]
+        self,
+        other: DataFrame
+        | DataFrameInput
+        | mesa_frames.concrete.agents.AgentSetDF
+        | Collection[mesa_frames.concrete.agents.AgentSetDF],
     ) -> Self:
         """Add agents to a new AgentContainer through the + operator.
 
         Parameters
         ----------
-        other : DataFrameInput | AgentSetDF | Collection[AgentSetDF]
+        other : DataFrame | DataFrameInput | mesa_frames.concrete.agents.AgentSetDF | Collection[mesa_frames.concrete.agents.AgentSetDF]
             The agents to add.
 
         Returns
@@ -417,12 +431,13 @@ def __contains__(self, agents: int | AgentSetDF) -> bool:
     @overload
     def __getitem__(
         self, key: str | tuple[AgentMask, str]
-    ) -> Series | dict[str, Series]: ...
+    ) -> Series | dict[AgentSetDF, Series]: ...
 
     @overload
     def __getitem__(
-        self, key: AgentMask | Collection[str] | tuple[AgentMask, Collection[str]]
-    ) -> DataFrame | dict[str, DataFrame]: ...
+        self,
+        key: AgentMask | Collection[str] | tuple[AgentMask, Collection[str]],
+    ) -> DataFrame | dict[AgentSetDF, DataFrame]: ...
 
     def __getitem__(
         self,
@@ -432,23 +447,27 @@ def __getitem__(
             | AgentMask
             | tuple[AgentMask, str]
             | tuple[AgentMask, Collection[str]]
+            | tuple[dict[AgentSetDF, AgentMask], str]
+            | tuple[dict[AgentSetDF, AgentMask], Collection[str]]
         ),
-    ) -> Series | DataFrame | dict[str, Series] | dict[str, DataFrame]:
+    ) -> Series | DataFrame | dict[AgentSetDF, Series] | dict[AgentSetDF, DataFrame]:
         """Implement the [] operator for the AgentContainer.
 
         The key can be:
         - An attribute or collection of attributes (eg. AgentContainer["str"], AgentContainer[["str1", "str2"]]): returns the specified column(s) of the agents in the AgentContainer.
         - An AgentMask (eg. AgentContainer[AgentMask]): returns the agents in the AgentContainer that satisfy the AgentMask.
         - A tuple (eg. AgentContainer[AgentMask, "str"]): returns the specified column of the agents in the AgentContainer that satisfy the AgentMask.
+        - A tuple with a dictionary (eg. AgentContainer[{AgentSetDF: AgentMask}, "str"]): returns the specified column of the agents in the AgentContainer that satisfy the AgentMask from the dictionary.
+        - A tuple with a dictionary (eg. AgentContainer[{AgentSetDF: AgentMask}, Collection[str]]): returns the specified columns of the agents in the AgentContainer that satisfy the AgentMask from the dictionary.
 
         Parameters
         ----------
-        key : str| Collection[str] | AgentMask | tuple[AgentMask, str] | tuple[AgentMask, Collection[str]]
+        key : str | Collection[str] | AgentMask | tuple[AgentMask, str] | tuple[AgentMask, Collection[str]] | tuple[dict[AgentSetDF, AgentMask], str] | tuple[dict[AgentSetDF, AgentMask], Collection[str]]
             The key to retrieve.
 
         Returns
         -------
-        Series | DataFrame | dict[str, Series] | dict[str, DataFrame]
+        Series | DataFrame | dict[AgentSetDF, Series] | dict[AgentSetDF, DataFrame]
             The attribute values.
         """
         # TODO: fix types
@@ -463,13 +482,19 @@ def __getitem__(
                 return self.get(mask=key)
 
     def __iadd__(
-        self, other: DataFrameInput | AgentSetDF | Collection[AgentSetDF]
+        self,
+        other: (
+            DataFrame
+            | DataFrameInput
+            | mesa_frames.concrete.agents.AgentSetDF
+            | Collection[mesa_frames.concrete.agents.AgentSetDF]
+        ),
     ) -> Self:
         """Add agents to the AgentContainer through the += operator.
 
         Parameters
         ----------
-        other : DataFrameInput | AgentSetDF | Collection[AgentSetDF]
+        other : DataFrame | DataFrameInput | mesa_frames.concrete.agents.AgentSetDF | Collection[mesa_frames.concrete.agents.AgentSetDF]
             The agents to add.
 
         Returns
@@ -479,12 +504,20 @@ def __iadd__(
         """
         return self.add(agents=other, inplace=True)
 
-    def __isub__(self, other: IdsLike | AgentSetDF | Collection[AgentSetDF]) -> Self:
+    def __isub__(
+        self,
+        other: (
+            IdsLike
+            | AgentMask
+            | mesa_frames.concrete.agents.AgentSetDF
+            | Collection[mesa_frames.concrete.agents.AgentSetDF]
+        ),
+    ) -> Self:
         """Remove agents from the AgentContainer through the -= operator.
 
         Parameters
         ----------
-        other : IdsLike | AgentSetDF | Collection[AgentSetDF]
+        other : IdsLike | AgentMask | mesa_frames.concrete.agents.AgentSetDF | Collection[mesa_frames.concrete.agents.AgentSetDF]
             The agents to remove.
 
         Returns
@@ -494,12 +527,20 @@ def __isub__(self, other: IdsLike | AgentSetDF | Collection[AgentSetDF]) -> Self
         """
         return self.discard(other, inplace=True)
 
-    def __sub__(self, other: IdsLike | AgentSetDF | Collection[AgentSetDF]) -> Self:
+    def __sub__(
+        self,
+        other: (
+            IdsLike
+            | AgentMask
+            | mesa_frames.concrete.agents.AgentSetDF
+            | Collection[mesa_frames.concrete.agents.AgentSetDF]
+        ),
+    ) -> Self:
         """Remove agents from a new AgentContainer through the - operator.
 
         Parameters
         ----------
-        other : IdsLike | AgentSetDF | Collection[AgentSetDF]
+        other : IdsLike | AgentMask | mesa_frames.concrete.agents.AgentSetDF | Collection[mesa_frames.concrete.agents.AgentSetDF]
             The agents to remove.
 
         Returns
@@ -512,7 +553,12 @@ def __sub__(self, other: IdsLike | AgentSetDF | Collection[AgentSetDF]) -> Self:
     def __setitem__(
         self,
         key: (
-            str | Collection[str] | AgentMask | tuple[AgentMask, str | Collection[str]]
+            str
+            | Collection[str]
+            | AgentMask
+            | tuple[AgentMask, str | Collection[str]]
+            | tuple[dict[AgentSetDF, AgentMask], str]
+            | tuple[dict[AgentSetDF, AgentMask], Collection[str]]
         ),
         values: Any,
     ) -> None:
@@ -523,10 +569,12 @@ def __setitem__(
         - A list of strings(eg. AgentContainer[["str1", "str2"]]): sets the specified columns of the agents in the AgentContainer.
         - A tuple (eg. AgentContainer[AgentMask, "str"]): sets the specified column of the agents in the AgentContainer that satisfy the AgentMask.
         - A AgentMask (eg. AgentContainer[AgentMask]): sets the attributes of the agents in the AgentContainer that satisfy the AgentMask.
+        - A tuple with a dictionary (eg. AgentContainer[{AgentSetDF: AgentMask}, "str"]): sets the specified column of the agents in the AgentContainer that satisfy the AgentMask from the dictionary.
+        - A tuple with a dictionary (eg. AgentContainer[{AgentSetDF: AgentMask}, Collection[str]]): sets the specified columns of the agents in the AgentContainer that satisfy the AgentMask from the dictionary.
 
         Parameters
         ----------
-        key : str | Collection[str] | AgentMask | tuple[AgentMask, str | Collection[str]]
+        key : str | Collection[str] | AgentMask | tuple[AgentMask, str | Collection[str]] | tuple[dict[AgentSetDF, AgentMask], str] | tuple[dict[AgentSetDF, AgentMask], Collection[str]]
             The key to set.
         values : Any
             The values to set for the specified key.
@@ -616,12 +664,12 @@ def __str__(self) -> str:
         ...
 
     @property
-    def model(self) -> ModelDF:
+    def model(self) -> mesa_frames.concrete.model.ModelDF:
         """The model that the AgentContainer belongs to.
 
         Returns
         -------
-        ModelDF
+        mesa_frames.concrete.model.ModelDF
         """
         return self._model
 
@@ -636,12 +684,12 @@ def random(self) -> Generator:
         return self.model.random
 
     @property
-    def space(self) -> SpaceDF:
+    def space(self) -> mesa_frames.abstract.space.SpaceDF | None:
         """The space of the model.
 
         Returns
         -------
-        SpaceDF
+        mesa_frames.abstract.space.SpaceDF | None
         """
         return self.model.space
 
@@ -657,12 +705,14 @@ def agents(self) -> DataFrame | dict[str, DataFrame]:
 
     @agents.setter
     @abstractmethod
-    def agents(self, agents: DataFrame | list[AgentSetDF]) -> None:
+    def agents(
+        self, agents: DataFrame | list[mesa_frames.concrete.agents.AgentSetDF]
+    ) -> None:
         """Set the agents in the AgentContainer.
 
         Parameters
         ----------
-        agents : DataFrame | list[AgentSetDF]
+        agents : DataFrame | list[mesa_frames.concrete.agents.AgentSetDF]
         """
 
     @property
@@ -692,33 +742,39 @@ def active_agents(
 
     @property
     @abstractmethod
-    def inactive_agents(self) -> DataFrame | dict[AgentSetDF, DataFrame]:
+    def inactive_agents(
+        self,
+    ) -> DataFrame | dict[mesa_frames.concrete.agents.AgentSetDF, DataFrame]:
         """The inactive agents in the AgentContainer.
 
         Returns
         -------
-        DataFrame | dict[AgentSetDF, DataFrame]
+        DataFrame | dict[mesa_frames.concrete.agents.AgentSetDF, DataFrame]
         """
 
     @property
     @abstractmethod
-    def index(self) -> Index | dict[AgentSetDF, Index]:
+    def index(
+        self,
+    ) -> Index | dict[mesa_frames.concrete.agents.AgentSetDF, Index]:
         """The ids in the AgentContainer.
 
         Returns
         -------
-        Index | dict[AgentSetDF, Index]
+        Index | dict[mesa_frames.concrete.agents.AgentSetDF, Index]
         """
         ...
 
     @property
     @abstractmethod
-    def pos(self) -> DataFrame | dict[str, DataFrame]:
+    def pos(
+        self,
+    ) -> DataFrame | dict[mesa_frames.concrete.agents.AgentSetDF, DataFrame]:
         """The position of the agents in the AgentContainer.
 
         Returns
         -------
-        DataFrame | dict[str, DataFrame]
+        DataFrame | dict[mesa_frames.concrete.agents.AgentSetDF, DataFrame]
         """
         ...
 
@@ -728,7 +784,7 @@ class AgentSetDF(AgentContainer, DataFrameMixin):
 
     Parameters
     ----------
-    model : ModelDF
+    model : mesa_frames.concrete.model.ModelDF
         The model that the agent set belongs to.
     """
 
@@ -736,27 +792,28 @@ class AgentSetDF(AgentContainer, DataFrameMixin):
     _mask: (
         AgentMask  # The underlying mask used for the active agents in the AgentSetDF.
     )
-    _model: ModelDF  # The model that the AgentSetDF belongs to.
+    _model: (
+        mesa_frames.concrete.model.ModelDF
+    )  # The model that the AgentSetDF belongs to.
 
     @abstractmethod
-    def __init__(self, model: ModelDF) -> None: ...
+    def __init__(self, model: mesa_frames.concrete.model.ModelDF) -> None: ...
 
     @abstractmethod
     def add(
         self,
-        agents: DataFrameInput,
+        agents: DataFrame | DataFrameInput,
         inplace: bool = True,
     ) -> Self:
         """Add agents to the AgentSetDF.
 
         Agents can be the input to the DataFrame constructor. So, the input can be:
         - A DataFrame: adds the agents from the DataFrame.
-        - A dictionary: keys should be attributes and values should be the values to add.
-        - A Sequence[Sequence]: each inner sequence should be one single agent to add.
+        - A DataFrameInput: passes the input to the DataFrame constructor.
 
         Parameters
         ----------
-        agents : DataFrameInput
+        agents : DataFrame | DataFrameInput
             The agents to add.
         inplace : bool, optional
             If True, perform the operation in place, by default True
@@ -768,12 +825,12 @@ def add(
         """
         ...
 
-    def discard(self, agents: IdsLike, inplace: bool = True) -> Self:
+    def discard(self, agents: IdsLike | AgentMask, inplace: bool = True) -> Self:
         """Remove an agent from the AgentSetDF. Does not raise an error if the agent is not found.
 
         Parameters
         ----------
-        agents : IdsLike
+        agents : IdsLike | AgentMask
             The ids to remove
         inplace : bool, optional
             Whether to remove the agent in place, by default True
@@ -871,7 +928,9 @@ def step(self) -> None:
         """Run a single step of the AgentSetDF. This method should be overridden by subclasses."""
         ...
 
-    def remove(self, agents: IdsLike, inplace: bool = True) -> Self:
+    def remove(self, agents: IdsLike | AgentMask, inplace: bool = True) -> Self:
+        if isinstance(agents, str) and agents == "active":
+            agents = self.active_agents
         if agents is None or (isinstance(agents, Iterable) and len(agents) == 0):
             return self._get_obj(inplace)
         agents = self._df_index(self._get_masked_df(agents), "unique_id")
@@ -881,6 +940,7 @@ def remove(self, agents: IdsLike, inplace: bool = True) -> Self:
         for agentset in agentsdf.agents.keys():
             if isinstance(agentset, self.__class__):
                 return agentset
+        return self
 
     @abstractmethod
     def _concatenate_agentsets(
@@ -942,6 +1002,7 @@ def _discard(self, ids: IdsLike) -> Self:
         Parameters
         ----------
         ids : IdsLike
+
             The ids to remove
 
         Returns
@@ -955,17 +1016,16 @@ def _update_mask(
         self, original_active_indices: Index, new_active_indices: Index | None = None
     ) -> None: ...
 
-    def __add__(self, other: DataFrame | Sequence[Any] | dict[str, Any]) -> Self:
+    def __add__(self, other: DataFrame | DataFrameInput) -> Self:
         """Add agents to a new AgentSetDF through the + operator.
 
         Other can be:
         - A DataFrame: adds the agents from the DataFrame.
-        - A Sequence[Any]: should be one single agent to add.
-        - A dictionary: keys should be attributes and values should be the values to add.
+        - A DataFrameInput: passes the input to the DataFrame constructor.
 
         Parameters
         ----------
-        other : DataFrame | Sequence[Any] | dict[str, Any]
+        other : DataFrame | DataFrameInput
             The agents to add.
 
         Returns
@@ -975,18 +1035,17 @@ def __add__(self, other: DataFrame | Sequence[Any] | dict[str, Any]) -> Self:
         """
         return super().__add__(other)
 
-    def __iadd__(self, other: DataFrame | Sequence[Any] | dict[str, Any]) -> Self:
+    def __iadd__(self, other: DataFrame | DataFrameInput) -> Self:
         """
         Add agents to the AgentSetDF through the += operator.
 
         Other can be:
         - A DataFrame: adds the agents from the DataFrame.
-        - A Sequence[Any]: should be one single agent to add.
-        - A dictionary: keys should be attributes and values should be the values to add.
+        - A DataFrameInput: passes the input to the DataFrame constructor.
 
         Parameters
         ----------
-        other : DataFrame | Sequence[Any] | dict[str, Any]
+        other : DataFrame | DataFrameInput
             The agents to add.
 
         Returns
@@ -1067,8 +1126,13 @@ def index(self) -> Index: ...
 
     @property
     def pos(self) -> DataFrame:
-        pos = self._df_constructor(self.space.agents, index_cols="agent_id")
-        pos = self._df_get_masked_df(df=pos, index_cols="agent_id", mask=self.index)
+        if self.space is None:
+            raise AttributeError(
+                "Attempted to access `pos`, but the model has no space attached."
+            )
+        pos = self._df_get_masked_df(
+            df=self.space.agents, index_cols="agent_id", mask=self.index
+        )
         pos = self._df_reindex(
             pos, self.index, new_index_cols="unique_id", original_index_cols="agent_id"
         )
diff --git a/mesa_frames/abstract/mixin.py b/mesa_frames/abstract/mixin.py
index 03955a96..84b4ec7b 100644
--- a/mesa_frames/abstract/mixin.py
+++ b/mesa_frames/abstract/mixin.py
@@ -42,14 +42,21 @@ def __init__(self):
 docstrings.
 """
 
+from __future__ import annotations
+
 from abc import ABC, abstractmethod
 from collections.abc import Collection, Hashable, Iterator, Sequence
 from copy import copy, deepcopy
-from typing import Literal
-
-from typing_extensions import Any, Self, overload
+from typing import Any, Literal, Self, overload
 
-from mesa_frames.types_ import BoolSeries, DataFrame, Index, Mask, Series
+from mesa_frames.types_ import (
+    BoolSeries,
+    DataFrame,
+    DataFrameInput,
+    Index,
+    Mask,
+    Series,
+)
 
 
 class CopyMixin(ABC):
@@ -257,13 +264,13 @@ def _df_contains(
         self,
         df: DataFrame,
         column: str,
-        values: Sequence[Any],
+        values: Collection[Any],
     ) -> BoolSeries: ...
 
     @abstractmethod
     def _df_constructor(
         self,
-        data: Sequence[Sequence] | dict[str | Any] | DataFrame | None = None,
+        data: DataFrameInput | None = None,
         columns: list[str] | None = None,
         index: Index | None = None,
         index_cols: str | list[str] | None = None,
@@ -328,7 +335,7 @@ def _df_groupby_cumcount(
     ) -> Series: ...
 
     @abstractmethod
-    def _df_index(self, df: DataFrame, index_name: str) -> Index: ...
+    def _df_index(self, df: DataFrame, index_name: str | Collection[str]) -> Index: ...
 
     @abstractmethod
     def _df_iterator(self, df: DataFrame) -> Iterator[dict[str, Any]]: ...
@@ -392,7 +399,7 @@ def _df_norm(
         self,
         df: DataFrame,
         srs_name: str = "norm",
-        include_cols: Literal[True] = False,
+        include_cols: Literal[True] = True,
     ) -> DataFrame: ...
 
     @abstractmethod
@@ -416,7 +423,7 @@ def _df_or(
     def _df_reindex(
         self,
         df: DataFrame,
-        other: Sequence[Hashable] | DataFrame,
+        other: Sequence[Hashable] | Index,
         new_index_cols: str | list[str],
         original_index_cols: str | list[str] | None = None,
     ) -> DataFrame: ...
@@ -452,7 +459,7 @@ def _df_sample(
     def _df_set_index(
         self,
         df: DataFrame,
-        index_name: str,
+        index_name: str | Collection[str],
         new_index: Sequence[Hashable] | None = None,
     ) -> DataFrame: ...
 
@@ -463,8 +470,8 @@ def _df_with_columns(
         data: DataFrame
         | Series
         | Sequence[Sequence]
-        | dict[str | Any]
-        | Sequence[Any]
+        | dict[str, Any]
+        | Collection[Any]
         | Any,
         new_columns: str | list[str] | None = None,
     ) -> DataFrame: ...
@@ -472,21 +479,23 @@ def _df_with_columns(
     @abstractmethod
     def _srs_constructor(
         self,
-        data: Sequence[Any] | None = None,
+        data: Collection[Any] | None = None,
         name: str | None = None,
         dtype: Any | None = None,
-        index: Sequence[Any] | None = None,
+        index: Collection[Any] | None = None,
     ) -> Series: ...
 
     @abstractmethod
     def _srs_contains(
         self,
-        srs: Sequence[Any],
-        values: Any | Sequence[Any],
+        srs: Collection[Any],
+        values: Any | Collection[Any],
     ) -> BoolSeries: ...
 
     @abstractmethod
     def _srs_range(self, name: str, start: int, end: int, step: int = 1) -> Series: ...
 
     @abstractmethod
-    def _srs_to_df(self, srs: Series, index: Index | None = None) -> DataFrame: ...
+    def _srs_to_df(
+        self, srs: Series, index: Collection[Any] | None = None
+    ) -> DataFrame: ...
diff --git a/mesa_frames/abstract/space.py b/mesa_frames/abstract/space.py
index e6735bc4..ebc4e11f 100644
--- a/mesa_frames/abstract/space.py
+++ b/mesa_frames/abstract/space.py
@@ -47,24 +47,26 @@ def __init__(self, model, dimensions, torus, capacity, neighborhood_type):
 For more detailed information on each class, refer to their individual docstrings.
 """
 
+from __future__ import annotations
+
 from abc import abstractmethod
 from collections.abc import Callable, Collection, Sequence, Sized
 from itertools import product
-from typing import TYPE_CHECKING, Literal
+from typing import Any, Literal, Self
 from warnings import warn
 
 import numpy as np
 import polars as pl
 from numpy.random import Generator
-from typing_extensions import Any, Self
 
-from mesa_frames import AgentsDF
 from mesa_frames.abstract.agents import AgentContainer, AgentSetDF
 from mesa_frames.abstract.mixin import CopyMixin, DataFrameMixin
+from mesa_frames.concrete.agents import AgentsDF
 from mesa_frames.types_ import (
     ArrayLike,
     BoolSeries,
     DataFrame,
+    DataFrameInput,
     DiscreteCoordinate,
     DiscreteCoordinates,
     DiscreteSpaceCapacity,
@@ -72,6 +74,7 @@ def __init__(self, model, dimensions, torus, capacity, neighborhood_type):
     GridCoordinate,
     GridCoordinates,
     IdsLike,
+    Infinity,
     Series,
     SpaceCoordinate,
     SpaceCoordinates,
@@ -79,14 +82,10 @@ def __init__(self, model, dimensions, torus, capacity, neighborhood_type):
 
 ESPG = int
 
-if TYPE_CHECKING:
-    from mesa_frames.concrete.model import ModelDF
-
 
 class SpaceDF(CopyMixin, DataFrameMixin):
     """The SpaceDF class is an abstract class that defines the interface for all space classes in mesa_frames."""
 
-    _model: "ModelDF"
     _agents: DataFrame  # | GeoDataFrame  # Stores the agents placed in the space
     _center_col_names: list[
         str
@@ -95,12 +94,12 @@ class SpaceDF(CopyMixin, DataFrameMixin):
         str
     ]  # The column names of the positions in the _agents dataframe (eg. ['dim_0', 'dim_1', ...] in Grids, ['node_id', 'edge_id'] in Networks)
 
-    def __init__(self, model: "ModelDF") -> None:
+    def __init__(self, model: mesa_frames.concrete.model.ModelDF) -> None:
         """Create a new SpaceDF.
 
         Parameters
         ----------
-        model : ModelDF
+        model : mesa_frames.concrete.model.ModelDF
         """
         self._model = model
 
@@ -187,7 +186,7 @@ def random_agents(
             A DataFrame with the sampled agents
         """
         seed = self.random.integers(np.iinfo(np.int32).max)
-        return self._df_sample(self._agents, n=n, seed=seed)
+        return self._df_sample(self._agents, n=n, seed=int(seed))
 
     def swap_agents(
         self,
@@ -440,7 +439,7 @@ def _get_ids_srs(
             return self._srs_constructor([], name="agent_id")
         if isinstance(agents, AgentSetDF):
             return self._srs_constructor(
-                self._df_index(agents, "unique_id"), name="agent_id"
+                self._df_index(agents.agents, "unique_id"), name="agent_id"
             )
         elif isinstance(agents, AgentsDF):
             return self._srs_constructor(agents._ids, name="agent_id")
@@ -450,7 +449,7 @@ def _get_ids_srs(
                 if isinstance(a, AgentSetDF):
                     ids.append(
                         self._srs_constructor(
-                            self._df_index(a, "unique_id"), name="agent_id"
+                            self._df_index(a.agents, "unique_id"), name="agent_id"
                         )
                     )
                 elif isinstance(a, AgentsDF):
@@ -517,12 +516,12 @@ def agents(self) -> DataFrame:  # | GeoDataFrame:
         return self._agents
 
     @property
-    def model(self) -> "ModelDF":
+    def model(self) -> mesa_frames.concrete.model.ModelDF:
         """The model to which the space belongs.
 
         Returns
         -------
-        'ModelDF'
+        'mesa_frames.concrete.model.ModelDF'
         """
         return self._model
 
@@ -549,14 +548,14 @@ class DiscreteSpaceDF(SpaceDF):
 
     def __init__(
         self,
-        model: "ModelDF",
+        model: mesa_frames.concrete.model.ModelDF,
         capacity: int | None = None,
     ):
         """Create a new DiscreteSpaceDF.
 
         Parameters
         ----------
-        model : ModelDF
+        model : mesa_frames.concrete.model.ModelDF
             The model to which the space belongs
         capacity : int | None, optional
             The maximum capacity for cells (default is infinite), by default None
@@ -817,16 +816,24 @@ def get_cells(
 
     # We define the cell conditions here, because ruff does not allow lambda functions
 
-    def _any_cell_condition(self, cap: DiscreteSpaceCapacity) -> BoolSeries:
+    def _any_cell_condition(
+        self, cap: DiscreteSpaceCapacity
+    ) -> BoolSeries | np.ndarray:
         return self._cells_capacity
 
     @abstractmethod
-    def _empty_cell_condition(self, cap: DiscreteSpaceCapacity) -> BoolSeries: ...
+    def _empty_cell_condition(
+        self, cap: DiscreteSpaceCapacity
+    ) -> BoolSeries | np.ndarray: ...
 
-    def _available_cell_condition(self, cap: DiscreteSpaceCapacity) -> BoolSeries:
+    def _available_cell_condition(
+        self, cap: DiscreteSpaceCapacity
+    ) -> BoolSeries | np.ndarray:
         return cap > 0
 
-    def _full_cell_condition(self, cap: DiscreteSpaceCapacity) -> BoolSeries:
+    def _full_cell_condition(
+        self, cap: DiscreteSpaceCapacity
+    ) -> BoolSeries | np.ndarray:
         return cap == 0
 
     def _check_cells(
@@ -968,13 +975,13 @@ def _update_capacity_cells(self, cells: DataFrame) -> DiscreteSpaceCapacity:
 
     @abstractmethod
     def _update_capacity_agents(
-        self, agents: DataFrame, operation: Literal["movement", "removal"]
+        self, agents: DataFrame | Series, operation: Literal["movement", "removal"]
     ) -> DiscreteSpaceCapacity:
         """Update the cells' capacity after moving agents.
 
         Parameters
         ----------
-        agents : DataFrame
+        agents : DataFrame | Series
             The moved agents with their new positions
         operation : Literal["movement", "removal"]
             The operation that was performed on the agents
@@ -1018,14 +1025,16 @@ def __getattr__(self, key: str) -> DataFrame:
         # then it must mean that it's in the _cells dataframe
         return self._cells[key]
 
-    def __setitem__(self, cells: DiscreteCoordinates, properties: DataFrame):
+    def __setitem__(
+        self, cells: DiscreteCoordinates, properties: DataFrame | DataFrameInput
+    ):
         """Set the properties of the specified cells.
 
         Parameters
         ----------
         cells : DiscreteCoordinates
             The cells to set the properties for
-        properties : DataFrame
+        properties : DataFrame | DataFrameInput
             The properties to set
         """
         self.set_cells(cells=cells, properties=properties, inplace=True)
@@ -1093,12 +1102,12 @@ def full_cells(self) -> DataFrame:
 
     @property
     @abstractmethod
-    def remaining_capacity(self) -> int | None:
+    def remaining_capacity(self) -> int | Infinity:
         """The remaining capacity of the cells in the grid.
 
         Returns
         -------
-        int | None
+        int | Infinity
             None if the capacity is infinite, otherwise the remaining capacity
         """
         ...
@@ -1140,7 +1149,7 @@ class GridDF(DiscreteSpaceDF):
 
     def __init__(
         self,
-        model: "ModelDF",
+        model: mesa_frames.concrete.model.ModelDF,
         dimensions: Sequence[int],
         torus: bool = False,
         capacity: int | None = None,
@@ -1150,7 +1159,7 @@ def __init__(
 
         Parameters
         ----------
-        model : ModelDF
+        model : mesa_frames.concrete.model.ModelDF
             The model to which the space belongs
         dimensions : Sequence[int]
             The dimensions of the grid
@@ -1228,7 +1237,7 @@ def get_neighborhood(
         self,
         radius: int | Sequence[int] | ArrayLike,
         pos: GridCoordinate | GridCoordinates | None = None,
-        agents: IdsLike | AgentContainer | Collection[AgentContainer] = None,
+        agents: IdsLike | AgentContainer | Collection[AgentContainer] | None = None,
         include_center: bool = False,
     ) -> DataFrame:
         pos_df = self._get_df_coords(pos, agents)
@@ -1461,7 +1470,7 @@ def out_of_bounds(self, pos: GridCoordinate | GridCoordinates) -> DataFrame:
 
     def remove_agents(
         self,
-        agents: AgentContainer | Collection[AgentContainer] | int | Sequence[int],
+        agents: IdsLike | AgentContainer | Collection[AgentContainer],
         inplace: bool = True,
     ) -> Self:
         obj = self._get_obj(inplace)
@@ -1752,7 +1761,7 @@ def _place_or_move_agents(
 
     @abstractmethod
     def _generate_empty_grid(
-        self, dimensions: Sequence[int], capacity: int
+        self, dimensions: Sequence[int], capacity: int | None
     ) -> GridCapacity:
         """Generate an empty grid with the specified dimensions and capacity.
 
@@ -1760,7 +1769,7 @@ def _generate_empty_grid(
         ----------
         dimensions : Sequence[int]
             The dimensions of the grid
-        capacity : int
+        capacity : int | None
             The capacity of the grid
 
         Returns
diff --git a/mesa_frames/concrete/agents.py b/mesa_frames/concrete/agents.py
index f68dc38c..ad92314f 100644
--- a/mesa_frames/concrete/agents.py
+++ b/mesa_frames/concrete/agents.py
@@ -44,12 +44,13 @@ def step(self):
 the class docstring.
 """
 
+from __future__ import annotations  # For forward references
+
 from collections import defaultdict
 from collections.abc import Callable, Collection, Iterable, Iterator, Sequence
-from typing import TYPE_CHECKING, Literal, cast
+from typing import Any, Literal, Self, cast, overload
 
 import polars as pl
-from typing_extensions import Any, Self, overload
 
 from mesa_frames.abstract.agents import AgentContainer, AgentSetDF
 from mesa_frames.types_ import (
@@ -62,9 +63,6 @@ def step(self):
     Series,
 )
 
-if TYPE_CHECKING:
-    from mesa_frames.concrete.model import ModelDF
-
 
 class AgentsDF(AgentContainer):
     """A collection of AgentSetDFs. All agents of the model are stored here."""
@@ -72,12 +70,12 @@ class AgentsDF(AgentContainer):
     _agentsets: list[AgentSetDF]
     _ids: pl.Series
 
-    def __init__(self, model: "ModelDF") -> None:
+    def __init__(self, model: mesa_frames.concrete.model.ModelDF) -> None:
         """Initialize a new AgentsDF.
 
         Parameters
         ----------
-        model : ModelDF
+        model : mesa_frames.concrete.model.ModelDF
             The model associated with the AgentsDF.
         """
         self._model = model
@@ -92,9 +90,9 @@ def add(
         Parameters
         ----------
         agents : AgentSetDF | Iterable[AgentSetDF]
-            The AgentSetDF to add.
+            The AgentSetDFs to add.
         inplace : bool, optional
-            Whether to add the AgentSetDF in place.
+            Whether to add the AgentSetDFs in place. Defaults to True.
 
         Returns
         -------
@@ -104,7 +102,7 @@ def add(
         Raises
         ------
         ValueError
-            If some agentsets are already present in the AgentsDF or if the IDs are not unique.
+            If any AgentSetDFs are already present or if IDs are not unique.
         """
         obj = self._get_obj(inplace)
         other_list = obj._return_agentsets_list(agents)
@@ -138,7 +136,7 @@ def contains(
             elif isinstance(next(iter(agents)), AgentSetDF):
                 agents = cast(Iterable[AgentSetDF], agents)
                 return self._check_agentsets_presence(list(agents))
-            else:  # IDsLike
+            else:  # IdsLike
                 agents = cast(IdsLike, agents)
 
                 return pl.Series(agents).is_in(self._ids)
@@ -214,7 +212,9 @@ def get(
         }
 
     def remove(
-        self, agents: AgentSetDF | Iterable[AgentSetDF] | IdsLike, inplace: bool = True
+        self,
+        agents: AgentSetDF | Iterable[AgentSetDF] | IdsLike,
+        inplace: bool = True,
     ) -> Self:
         obj = self._get_obj(inplace)
         if agents is None or (isinstance(agents, Iterable) and len(agents) == 0):
@@ -398,13 +398,14 @@ def _check_agentsets_presence(self, other: list[AgentSetDF]) -> pl.Series:
 
     def _get_bool_masks(
         self,
-        mask: AgnosticAgentMask | IdsLike | dict[AgentSetDF, AgentMask] = None,
+        mask: (AgnosticAgentMask | IdsLike | dict[AgentSetDF, AgentMask]) = None,
     ) -> dict[AgentSetDF, BoolSeries]:
         return_dictionary = {}
         if not isinstance(mask, dict):
+            # No need to convert numpy integers - let polars handle them directly
             mask = {agentset: mask for agentset in self._agentsets}
-        for agentset, mask in mask.items():
-            return_dictionary[agentset] = agentset._get_bool_mask(mask)
+        for agentset, mask_value in mask.items():
+            return_dictionary[agentset] = agentset._get_bool_mask(mask_value)
         return return_dictionary
 
     def _return_agentsets_list(
@@ -449,7 +450,7 @@ def __getattr__(self, name: str) -> dict[AgentSetDF, Any]:
     @overload
     def __getitem__(
         self, key: str | tuple[dict[AgentSetDF, AgentMask], str]
-    ) -> dict[str, Series]: ...
+    ) -> dict[AgentSetDF, Series | pl.Expr]: ...
 
     @overload
     def __getitem__(
@@ -460,7 +461,7 @@ def __getitem__(
             | IdsLike
             | tuple[dict[AgentSetDF, AgentMask], Collection[str]]
         ),
-    ) -> dict[str, DataFrame]: ...
+    ) -> dict[AgentSetDF, DataFrame]: ...
 
     def __getitem__(
         self,
@@ -472,7 +473,7 @@ def __getitem__(
             | tuple[dict[AgentSetDF, AgentMask], str]
             | tuple[dict[AgentSetDF, AgentMask], Collection[str]]
         ),
-    ) -> dict[str, Series] | dict[str, DataFrame]:
+    ) -> dict[AgentSetDF, Series | pl.Expr] | dict[AgentSetDF, DataFrame]:
         return super().__getitem__(key)
 
     def __iadd__(self, agents: AgentSetDF | Iterable[AgentSetDF]) -> Self:
@@ -499,7 +500,7 @@ def __isub__(self, agents: AgentSetDF | Iterable[AgentSetDF] | IdsLike) -> Self:
         Parameters
         ----------
         agents : AgentSetDF | Iterable[AgentSetDF] | IdsLike
-            The AgentSetDFs to remove.
+            The AgentSetDFs or agent IDs to remove.
 
         Returns
         -------
@@ -538,13 +539,13 @@ def __setitem__(
     def __str__(self) -> str:
         return "\n".join([str(agentset) for agentset in self._agentsets])
 
-    def __sub__(self, agents: IdsLike | AgentSetDF | Iterable[AgentSetDF]) -> Self:
+    def __sub__(self, agents: AgentSetDF | Iterable[AgentSetDF] | IdsLike) -> Self:
         """Remove AgentSetDFs from a new AgentsDF through the - operator.
 
         Parameters
         ----------
-        agents : IdsLike | AgentSetDF | Iterable[AgentSetDF]
-            The AgentSetDFs to remove.
+        agents : AgentSetDF | Iterable[AgentSetDF] | IdsLike
+            The AgentSetDFs or agent IDs to remove. Supports NumPy integer types.
 
         Returns
         -------
@@ -591,7 +592,7 @@ def agentsets_by_type(self) -> dict[type[AgentSetDF], Self]:
         def copy_without_agentsets() -> Self:
             return self.copy(deep=False, skip=["_agentsets"])
 
-        dictionary: dict[type[AgentSetDF], Self] = defaultdict(copy_without_agentsets)
+        dictionary = defaultdict(copy_without_agentsets)
 
         for agentset in self._agentsets:
             agents_df = dictionary[agentset.__class__]
diff --git a/mesa_frames/concrete/agentset.py b/mesa_frames/concrete/agentset.py
index b7263269..ccbd4529 100644
--- a/mesa_frames/concrete/agentset.py
+++ b/mesa_frames/concrete/agentset.py
@@ -57,23 +57,20 @@ def step(self):
 refer to the class docstring.
 """
 
+from __future__ import annotations
+
 from collections.abc import Callable, Collection, Iterable, Iterator, Sequence
-from typing import TYPE_CHECKING
+from typing import Any, Literal, Self, overload
 
+import numpy as np
 import polars as pl
-from polars._typing import IntoExpr
-from typing_extensions import Any, Self, overload
 
 from mesa_frames.concrete.agents import AgentSetDF
 from mesa_frames.concrete.mixin import PolarsMixin
-from mesa_frames.types_ import AgentPolarsMask, PolarsIdsLike
+from mesa_frames.concrete.model import ModelDF
+from mesa_frames.types_ import AgentPolarsMask, IdsLike, IntoExpr, PolarsIdsLike
 from mesa_frames.utils import copydoc
 
-if TYPE_CHECKING:
-    from mesa_frames.concrete.model import ModelDF
-
-import numpy as np
-
 
 @copydoc(AgentSetDF)
 class AgentSetPolars(AgentSetDF, PolarsMixin):
@@ -86,12 +83,12 @@ class AgentSetPolars(AgentSetDF, PolarsMixin):
     _copy_only_reference: list[str] = ["_model", "_mask"]
     _mask: pl.Expr | pl.Series
 
-    def __init__(self, model: "ModelDF") -> None:
+    def __init__(self, model: mesa_frames.concrete.model.ModelDF) -> None:
         """Initialize a new AgentSetPolars.
 
         Parameters
         ----------
-        model : ModelDF
+        model : "mesa_frames.concrete.model.ModelDF"
             The model that the agent set belongs to.
         """
         self._model = model
diff --git a/mesa_frames/concrete/mixin.py b/mesa_frames/concrete/mixin.py
index 92d125d6..19841982 100644
--- a/mesa_frames/concrete/mixin.py
+++ b/mesa_frames/concrete/mixin.py
@@ -43,14 +43,15 @@ def some_method(self):
 the class docstring.
 """
 
+from __future__ import annotations
+
 from collections.abc import Callable, Collection, Hashable, Iterator, Sequence
-from typing import Literal
+from typing import Any, Literal, overload
 
 import polars as pl
-from typing_extensions import Any, overload
 
 from mesa_frames.abstract.mixin import DataFrameMixin
-from mesa_frames.types_ import DataFrame, PolarsMask
+from mesa_frames.types_ import PolarsDataFrameInput, PolarsIndex, PolarsMask
 
 
 class PolarsMixin(DataFrameMixin):
@@ -62,7 +63,7 @@ class PolarsMixin(DataFrameMixin):
     def _df_add(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index"] | Literal["columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -87,7 +88,7 @@ def _df_all(
     def _df_and(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index"] | Literal["columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -170,11 +171,11 @@ def _df_concat(
 
     def _df_constructor(
         self,
-        data: dict[str | Any] | Sequence[Sequence] | DataFrame | None = None,
+        data: PolarsDataFrameInput | None = None,
         columns: list[str] | None = None,
-        index: Sequence[Hashable] | None = None,
+        index: PolarsIndex | Collection[Hashable] | None = None,
         index_cols: str | list[str] | None = None,
-        dtypes: dict[str, str] | None = None,
+        dtypes: dict[str, str | type] | None = None,
     ) -> pl.DataFrame:
         if dtypes is not None:
             dtypes = {k: self._dtypes_mapping.get(v, v) for k, v in dtypes.items()}
@@ -199,14 +200,14 @@ def _df_contains(
         self,
         df: pl.DataFrame,
         column: str,
-        values: Sequence[Any],
+        values: Collection[Any],
     ) -> pl.Series:
         return pl.Series("contains", values).is_in(df[column])
 
     def _df_div(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index"] | Literal["columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -258,7 +259,7 @@ def _df_drop_duplicates(
     def _df_ge(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index", "columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -338,7 +339,17 @@ def _df_groupby_cumcount(
     ) -> pl.Series:
         return df.with_columns(pl.cum_count(by).over(by).alias(name))[name]
 
-    def _df_index(self, df: pl.DataFrame, index_col: str | list[str]) -> pl.Series:
+    @overload
+    def _df_index(self, df: pl.DataFrame, index_col: str) -> pl.Series: ...
+
+    @overload
+    def _df_index(
+        self, df: pl.DataFrame, index_col: Collection[str]
+    ) -> pl.DataFrame: ...
+
+    def _df_index(
+        self, df: pl.DataFrame, index_col: str | Collection[str]
+    ) -> pl.Series | pl.DataFrame:
         return df[index_col]
 
     def _df_iterator(self, df: pl.DataFrame) -> Iterator[dict[str, Any]]:
@@ -374,7 +385,7 @@ def _df_join(
     def _df_lt(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index", "columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -389,7 +400,7 @@ def _df_lt(
     def _df_mod(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index"] | Literal["columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -404,7 +415,7 @@ def _df_mod(
     def _df_mul(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index", "columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -448,7 +459,7 @@ def _df_norm(
     def _df_operation(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         operation: Callable[[pl.Expr, pl.Expr], pl.Expr],
         axis: Literal["index", "columns"] = "index",
         index_cols: str | list[str] | None = None,
@@ -494,7 +505,7 @@ def _df_operation(
     def _df_or(
         self,
         df: pl.DataFrame,
-        other: pl.DataFrame | Sequence[float | int],
+        other: pl.DataFrame | Collection[float | int],
         axis: Literal["index"] | Literal["columns"] = "index",
         index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -509,7 +520,7 @@ def _df_or(
     def _df_reindex(
         self,
         df: pl.DataFrame,
-        other: Sequence[Hashable] | pl.DataFrame,
+        other: Sequence[Hashable] | pl.DataFrame | pl.Series,
         new_index_cols: str | list[str],
         original_index_cols: str | list[str] | None = None,
     ) -> pl.DataFrame:
@@ -564,8 +575,8 @@ def _df_sample(
     def _df_set_index(
         self,
         df: pl.DataFrame,
-        index_name: str,
-        new_index: Sequence[Hashable] | None = None,
+        index_name: str | Collection[str],
+        new_index: Collection[Hashable] | None = None,
     ) -> pl.DataFrame:
         if new_index is None:
             return df
@@ -601,7 +612,7 @@ def _df_with_columns(
 
     def _srs_constructor(
         self,
-        data: Sequence[Any] | None = None,
+        data: Collection[Any] | None = None,
         name: str | None = None,
         dtype: str | None = None,
         index: Sequence[Any] | None = None,
diff --git a/mesa_frames/concrete/model.py b/mesa_frames/concrete/model.py
index 5efcbcff..befc1812 100644
--- a/mesa_frames/concrete/model.py
+++ b/mesa_frames/concrete/model.py
@@ -40,17 +40,16 @@ def run_model(self):
 the class docstring.
 """
 
+from __future__ import annotations
+
 from collections.abc import Sequence
-from typing import TYPE_CHECKING
 
 import numpy as np
 
+from mesa_frames.abstract.agents import AgentSetDF
 from mesa_frames.abstract.space import SpaceDF
 from mesa_frames.concrete.agents import AgentsDF
 
-if TYPE_CHECKING:
-    from mesa_frames.abstract.agents import AgentSetDF
-
 
 class ModelDF:
     """Base class for models in the mesa-frames library.
@@ -100,7 +99,7 @@ def steps(self) -> int:
         """Get the current step count."""
         return self._steps
 
-    def get_agents_of_type(self, agent_type: type) -> "AgentSetDF":
+    def get_agents_of_type(self, agent_type: type) -> AgentSetDF:
         """Retrieve the AgentSetDF of a specified type.
 
         Parameters
@@ -221,4 +220,10 @@ def space(self) -> SpaceDF:
 
     @space.setter
     def space(self, space: SpaceDF) -> None:
+        """Set the space of the model.
+
+        Parameters
+        ----------
+        space : SpaceDF
+        """
         self._space = space
diff --git a/mesa_frames/concrete/space.py b/mesa_frames/concrete/space.py
index 738799e3..55a00589 100644
--- a/mesa_frames/concrete/space.py
+++ b/mesa_frames/concrete/space.py
@@ -43,6 +43,7 @@ def step(self):
 """
 
 from collections.abc import Callable, Sequence
+from math import inf
 from typing import Literal
 
 import numpy as np
@@ -50,6 +51,7 @@ def step(self):
 
 from mesa_frames.abstract.space import GridDF
 from mesa_frames.concrete.mixin import PolarsMixin
+from mesa_frames.types_ import Infinity
 from mesa_frames.utils import copydoc
 
 
@@ -82,7 +84,7 @@ def _empty_cell_condition(self, cap: np.ndarray) -> np.ndarray:
         return empty_mask
 
     def _generate_empty_grid(
-        self, dimensions: Sequence[int], capacity: int
+        self, dimensions: Sequence[int], capacity: int | None
     ) -> np.ndarray:
         if not capacity:
             capacity = np.inf
@@ -161,7 +163,7 @@ def _sample_cells(
 
     def _update_capacity_agents(
         self,
-        agents: pl.DataFrame,
+        agents: pl.DataFrame | pl.Series,
         operation: Literal["movement", "removal"],
     ) -> np.ndarray:
         # Update capacity for agents that were already on the grid
@@ -212,7 +214,7 @@ def _update_capacity_cells(self, cells: pl.DataFrame) -> np.ndarray:
         return self._cells_capacity
 
     @property
-    def remaining_capacity(self) -> int:
+    def remaining_capacity(self) -> int | Infinity:
         if not self._capacity:
-            return np.inf
-        return self._cells_capacity.sum()
+            return inf
+        return int(self._cells_capacity.sum())
diff --git a/mesa_frames/types_.py b/mesa_frames/types_.py
index a464d966..869b6e1d 100644
--- a/mesa_frames/types_.py
+++ b/mesa_frames/types_.py
@@ -1,13 +1,34 @@
 """Type aliases for the mesa_frames package."""
 
+from __future__ import annotations
 from collections.abc import Collection, Sequence
-from typing import Literal
-
-
-# import geopolars as gpl
+from datetime import date, datetime, time, timedelta
+from typing import Literal, Annotated, Union, Any
+from collections.abc import Mapping
+from beartype.vale import IsEqual
+import math
 import polars as pl
 from numpy import ndarray
-from typing_extensions import Any
+import numpy as np
+# import geopolars as gpl # TODO: Uncomment when geopolars is available
+
+###----- Optional Types -----###
+try:
+    import pandas as pd
+
+    PandasDataFrame = pd.DataFrame
+except ImportError:
+    # just give us a class so annotations don’t break
+    PandasDataFrame = type("PandasDataFrame", (), {})
+    PandasSeries = type("PandasSeries", (), {})
+
+try:
+    import pyarrow as pa
+
+    ArrowTable = pa.Table
+except ImportError:
+    ArrowTable = type("ArrowTable", (), {})
+
 
 ####----- Agnostic Types -----####
 AgnosticMask = (
@@ -17,23 +38,49 @@
 AgnosticIds = int | Collection[int]
 
 ###----- Polars Types -----###
-
+PolarsIndex = pl.Series | pl.DataFrame
+PolarsBoolSrs = pl.Series | pl.Expr
+PolarsDataFrameInput = Union[
+    Mapping[
+        str, Union[Sequence[object], Mapping[str, Sequence[object]], pl.Series, Any]
+    ],
+    Sequence[Any],
+    np.ndarray,
+    ArrowTable,
+    pd.DataFrame,
+]
 PolarsMask = pl.Expr | pl.Series | pl.DataFrame | AgnosticMask
 AgentPolarsMask = AgnosticAgentMask | pl.Expr | pl.Series | pl.DataFrame | Sequence[int]
-PolarsIdsLike = AgnosticIds | pl.Series
+PolarsIdsLike = AgnosticIds | pl.Series | pl.DataFrame
 PolarsGridCapacity = list[pl.Expr]
+IntoExpr = (
+    int
+    | float
+    | date
+    | time
+    | datetime
+    | timedelta
+    | str
+    | bool
+    | bytes
+    | list[Any]
+    | pl.Expr
+    | pl.Series
+    | None
+)
 
 ###----- Generic -----###
 # GeoDataFrame = gpd.GeoDataFrame | gpl.GeoDataFrame
 DataFrame = pl.DataFrame
-DataFrameInput = dict[str, Any] | Sequence[Sequence] | DataFrame
+DataFrameInput = PolarsDataFrameInput
 Series = pl.Series
-Index = pl.Series
-BoolSeries = pl.Series
+Index = PolarsIndex
+BoolSeries = PolarsBoolSrs
 Mask = PolarsMask
 AgentMask = AgentPolarsMask
 IdsLike = AgnosticIds | PolarsIdsLike
 ArrayLike = ndarray | Series | Sequence
+Infinity = Annotated[float, IsEqual[math.inf]]  # Only accepts math.inf
 
 ###----- Time ------###
 TimeT = float | int
@@ -67,4 +114,4 @@
 GridCapacity = PolarsGridCapacity
 NetworkCapacity = DataFrame
 
-DiscreteSpaceCapacity = GridCapacity | NetworkCapacity
+DiscreteSpaceCapacity = GridCapacity | NetworkCapacity | np.ndarray
diff --git a/mkdocs.yml b/mkdocs.yml
index 394e33c6..f2bbf494 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -116,4 +116,5 @@ nav:
   - API Reference: api/index.html
   - Contributing:
     - Contribution Guide: contributing.md
+    - Development Guidelines: development/index.md
     - Roadmap: roadmap.md
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 2f53db1a..4b60771c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -33,13 +33,12 @@ classifiers = [
 ]
 dependencies = [
   "numpy>=2.0.2",
-  "typing-extensions>=4.9", #typing-extensions.Self added in 4.9
   "pyarrow",
   ## polars
   "polars>=1.0.0", #polars._typing (see mesa_frames.types) added in 1.0.0
   #"geopolars" (currently in pre-alpha)
 ]
-requires-python = ">=3.9"
+requires-python = ">=3.11"
 dynamic = [
   "version"
 ]
@@ -79,7 +78,7 @@ docs = [
 test = [
   "pytest",
   "pytest-cov",
-  "typeguard",
+  "beartype",
 ]
 
 dev = [
@@ -95,6 +94,7 @@ features = ["test"]
 
 [tool.hatch.envs.dev] #Allows installing dev as virtual env
 features = ["dev"]
+env = { MESA_FRAMES_RUNTIME_TYPECHECKING = "true" }
 
 [tool.hatch.build.targets.wheel]
 packages = ["mesa_frames"]
diff --git a/tests/__init__.py b/tests/__init__.py
index e69de29b..29171118 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -0,0 +1,16 @@
+import os
+
+# Enable runtime type checking if requested via environment variable
+if os.getenv("MESA_FRAMES_RUNTIME_TYPECHECKING", "").lower() in ("1", "true", "yes"):
+    try:
+        from beartype.claw import beartype_this_package
+
+        beartype_this_package()
+    except ImportError:
+        import warnings
+
+        warnings.warn(
+            "MESA_FRAMES_RUNTIME_TYPECHECKING is enabled but beartype is not installed.",
+            ImportWarning,
+            stacklevel=2,
+        )
diff --git a/tests/test_agents.py b/tests/test_agents.py
index 38862218..c1f6889b 100644
--- a/tests/test_agents.py
+++ b/tests/test_agents.py
@@ -507,7 +507,7 @@ def test__check_ids_presence(
         agents = fix_AgentsDF
         agents_different_index = deepcopy(fix1_AgentSetPolars)
         agents_different_index._agents = agents_different_index._agents.with_columns(
-            pl.lit([-100, -200, -300, -400]).alias("unique_id")
+            pl.Series([-100, -200, -300, -400]).alias("unique_id")
         )
         result = agents._check_ids_presence([fix1_AgentSetPolars])
 
diff --git a/tests/test_agentset.py b/tests/test_agentset.py
index 3bc97027..6f3904ef 100644
--- a/tests/test_agentset.py
+++ b/tests/test_agentset.py
@@ -2,15 +2,11 @@
 
 import polars as pl
 import pytest
-
-
-import typeguard as tg
 from numpy.random import Generator
 
 from mesa_frames import AgentSetPolars, GridPolars, ModelDF
 
 
-@tg.typechecked
 class ExampleAgentSetPolars(AgentSetPolars):
     def __init__(self, model: ModelDF):
         super().__init__(model)
diff --git a/tests/test_grid.py b/tests/test_grid.py
index 0898d03a..cc7ee2ef 100644
--- a/tests/test_grid.py
+++ b/tests/test_grid.py
@@ -1,7 +1,6 @@
 import numpy as np
 import polars as pl
 import pytest
-import typeguard as tg
 
 from mesa_frames import GridPolars, ModelDF
 from tests.test_agentset import (
@@ -16,7 +15,6 @@ def not_called():
     fix2_AgentSetPolars()
 
 
-@tg.typechecked
 class TestGridPolars:
     @pytest.fixture
     def model(
diff --git a/tests/test_mixin.py b/tests/test_mixin.py
index 210e3129..0ea25793 100644
--- a/tests/test_mixin.py
+++ b/tests/test_mixin.py
@@ -1,12 +1,10 @@
 import numpy as np
 import polars as pl
 import pytest
-import typeguard as tg
 
 from mesa_frames.concrete.mixin import PolarsMixin
 
 
-@tg.typechecked
 class TestPolarsMixin:
     @pytest.fixture
     def mixin(self):
diff --git a/uv.lock b/uv.lock
index 1e9f58d0..a41d0afd 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,10 +1,8 @@
 version = 1
-requires-python = ">=3.9"
+requires-python = ">=3.11"
 resolution-markers = [
     "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version < '3.12'",
 ]
 
 [[package]]
@@ -23,34 +21,16 @@ wheels = [
 name = "alabaster"
 version = "0.7.16"
 source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version < '3.10'",
-]
 sdist = { url = "https://files.pythonhosted.org/packages/c9/3e/13dd8e5ed9094e734ac430b5d0eb4f2bb001708a8b7856cbf8e084e001ba/alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65", size = 23776 }
 wheels = [
     { url = "https://files.pythonhosted.org/packages/32/34/d4e1c02d3bee589efb5dfa17f88ea08bdb3e3eac12bc475462aec52ed223/alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92", size = 13511 },
 ]
 
-[[package]]
-name = "alabaster"
-version = "1.0.0"
-source = { registry = "https://pypi.org/simple" }
-resolution-markers = [
-    "python_full_version >= '3.12'",
-    "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-]
-sdist = { url = "https://files.pythonhosted.org/packages/a6/f8/d9c74d0daf3f742840fd818d69cfae176fa332022fd44e3469487d5a9420/alabaster-1.0.0.tar.gz", hash = "sha256:c00dca57bca26fa62a6d7d0a9fcce65f3e026e9bfe33e9c538fd3fbb2144fd9e", size = 24210 }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/7e/b3/6b4067be973ae96ba0d615946e314c5ae35f9f993eca561b356540bb0c2b/alabaster-1.0.0-py3-none-any.whl", hash = "sha256:fc6786402dc3fcb2de3cabd5fe455a2db534b371124f1f21de8731783dec828b", size = 13929 },
-]
-
 [[package]]
 name = "anyio"
 version = "4.9.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
     { name = "idna" },
     { name = "sniffio" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
@@ -105,9 +85,7 @@ name = "autodocsumm"
 version = "0.2.14"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "sphinx", version = "7.4.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "sphinx", version = "8.1.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
-    { name = "sphinx", version = "8.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "sphinx" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/03/96/92afe8a7912b327c01f0a8b6408c9556ee13b1aba5b98d587ac7327ff32d/autodocsumm-0.2.14.tar.gz", hash = "sha256:2839a9d4facc3c4eccd306c08695540911042b46eeafcdc3203e6d0bab40bc77", size = 46357 }
 wheels = [
@@ -136,6 +114,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/0c/37/fb6973edeb700f6e3d6ff222400602ab1830446c25c7b4676d8de93e65b8/backrefs-5.8-py39-none-any.whl", hash = "sha256:a66851e4533fb5b371aa0628e1fee1af05135616b86140c9d787a2ffdf4b8fdc", size = 380336 },
 ]
 
+[[package]]
+name = "beartype"
+version = "0.21.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0d/f9/21e5a9c731e14f08addd53c71fea2e70794e009de5b98e6a2c3d2f3015d6/beartype-0.21.0.tar.gz", hash = "sha256:f9a5078f5ce87261c2d22851d19b050b64f6a805439e8793aecf01ce660d3244", size = 1437066 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/94/31/87045d1c66ee10a52486c9d2047bc69f00f2689f69401bb1e998afb4b205/beartype-0.21.0-py3-none-any.whl", hash = "sha256:b6a1bd56c72f31b0a496a36cc55df6e2f475db166ad07fa4acc7e74f4c7f34c0", size = 1191340 },
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.13.4"
@@ -214,18 +201,6 @@ dependencies = [
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621 }
 wheels = [
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@@ -1725,10 +1130,8 @@ name = "matplotx"
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-    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "matplotlib" },
+    { name = "numpy" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/c3/01/0e6938bb717fa7722d6d81336c62de71b815ce73e382aa1873a1e68ccc93/matplotx-0.3.10.tar.gz", hash = "sha256:b6926ce5274cf5da966cb46b90a8c7fefb761478c6c85c8f7ed3ee8ec90e86e5", size = 24041 }
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@@ -1770,17 +1173,12 @@ name = "mesa"
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-    { name = "click", version = "8.2.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "click" },
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-    { name = "matplotlib", version = "3.9.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
-    { name = "matplotlib", version = "3.10.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "matplotlib" },
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-    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "networkx" },
+    { name = "numpy" },
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     { name = "solara" },
     { name = "tqdm" },
@@ -1795,24 +1193,22 @@ name = "mesa-frames"
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+    { name = "numpy" },
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-    { name = "typing-extensions" },
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+    { name = "beartype" },
     { name = "mesa" },
     { name = "mkdocs-git-revision-date-localized-plugin" },
     { name = "mkdocs-include-markdown-plugin" },
     { name = "mkdocs-jupyter" },
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-    { name = "numba", version = "0.61.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "numba" },
     { name = "numpydoc" },
     { name = "perfplot" },
     { name = "pre-commit" },
@@ -1821,13 +1217,10 @@ dev = [
     { name = "pytest-cov" },
     { name = "ruff" },
     { name = "seaborn" },
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-    { name = "sphinx", version = "8.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "sphinx" },
     { name = "sphinx-copybutton" },
     { name = "sphinx-design" },
     { name = "sphinx-rtd-theme" },
-    { name = "typeguard" },
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 docs = [
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@@ -1840,9 +1233,7 @@ docs = [
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     { name = "seaborn" },
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+    { name = "sphinx" },
     { name = "sphinx-copybutton" },
     { name = "sphinx-design" },
     { name = "sphinx-rtd-theme" },
@@ -1858,17 +1249,15 @@ sphinx = [
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     { name = "numpydoc" },
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-    { name = "sphinx", version = "8.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
+    { name = "sphinx" },
     { name = "sphinx-copybutton" },
     { name = "sphinx-design" },
     { name = "sphinx-rtd-theme" },
 ]
 test = [
+    { name = "beartype" },
     { name = "pytest" },
     { name = "pytest-cov" },
-    { name = "typeguard" },
 ]
 
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@@ -1881,6 +1270,8 @@ requires-dist = [
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     { name = "autodocsumm", marker = "extra == 'docs'" },
     { name = "autodocsumm", marker = "extra == 'sphinx'" },
+    { name = "beartype", marker = "extra == 'dev'" },
+    { name = "beartype", marker = "extra == 'test'" },
     { name = "mesa", marker = "extra == 'dev'", specifier = "~=2.3.4" },
     { name = "mkdocs-git-revision-date-localized-plugin", marker = "extra == 'dev'" },
     { name = "mkdocs-git-revision-date-localized-plugin", marker = "extra == 'docs'" },
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