diff --git a/packages/syft/setup.cfg b/packages/syft/setup.cfg
index 399a06e69f5..53c6fa5f621 100644
--- a/packages/syft/setup.cfg
+++ b/packages/syft/setup.cfg
@@ -27,46 +27,45 @@ package_dir =
 
 syft =
     setuptools
-    bcrypt==4.1.2
-    boto3==1.34.56
+    bcrypt==4.2.0
+    boto3==1.35.11
     forbiddenfruit==0.1.4
     packaging>=23.0
-    pyarrow==15.0.0
+    pyarrow==17.0.0
     pycapnp==2.0.0
-    pydantic[email]==2.6.0
-    pydantic-settings==2.2.1
-    pymongo==4.6.3
+    pydantic[email]==2.8.2
+    pydantic-settings==2.4.0
+    pymongo==4.8.0
     pynacl==1.5.0
-    pyzmq>=23.2.1,<=25.1.1
+    pyzmq>=24.0.1,<=26.2.0
     requests==2.32.3
-    RestrictedPython==7.0
-    tqdm==4.66.4
-    typeguard==4.1.5
-    typing_extensions==4.12.0
+    RestrictedPython==7.2
+    tqdm==4.66.5
+    typeguard==4.3.0
+    typing_extensions==4.12.2
     sherlock[filelock]==0.4.1
-    uvicorn[standard]==0.30.0
-    markdown==3.5.2
-    fastapi==0.111.0
-    psutil==6.0.0
-    itables==1.7.1
+    uvicorn[standard]==0.30.6
+    markdown==3.7
+    fastapi==0.112.2
+    psutil>=5.9.5,<=6.0.0
+    itables==2.1.4
     argon2-cffi==23.1.0
-    matplotlib>=3.7.1,<3.9.1
+    matplotlib>=3.7.1,<3.9.2
     # numpy and pandas are ML packages but are needed in many places througout the codebase
-    numpy>=1.23.5,<=1.24.4; python_version<"3.12"
-    numpy>=1.26.4,<1.27; python_version>="3.12"
+    numpy>=1.26.4,<2.1.1
     pandas==2.2.2
     docker==7.1.0
-    kr8s==0.13.5
-    PyYAML==6.0.1
-    azure-storage-blob==12.19.1
-    ipywidgets==8.1.2
+    kr8s==0.17.2
+    PyYAML==6.0.2
+    azure-storage-blob==12.22.0
+    ipywidgets==8.1.5
     tomli==2.0.1  # Later for python 3.11 > we can just use tomlib that comes with python
     tomli_w==1.0.0
-    rich==13.7.1
+    rich==13.8.0
     jinja2==3.1.4
-    tenacity==8.3.0
-    nh3==0.2.17
-    ipython<8.27.0
+    tenacity==9.0.0
+    nh3==0.2.18
+    ipython<8.27.0 # we need to upgrade this
 
 install_requires =
     %(syft)s
@@ -83,24 +82,24 @@ exclude =
 
 [options.extras_require]
 data_science =
-    transformers==4.41.2
-    opendp==0.9.2
+    transformers==4.44.2
+    opendp==0.11.1
     evaluate==0.4.2
     recordlinkage==0.16
     # backend.dockerfile installs torch separately, so update the version over there as well!
-    torch==2.2.2
+    torch==2.4.0
 
 dev =
     %(test_plugins)s
     %(telemetry)s
-    bandit==1.7.8
-    debugpy==1.8.2
-    importlib-metadata==7.1.0
+    bandit==1.7.9
+    debugpy==1.8.5
+    importlib-metadata==8.4.0
     isort==5.13.2
-    mypy==1.10.0
-    pre-commit==3.7.1
-    ruff==0.4.7
-    safety>=2.4.0b2
+    mypy==1.11.2
+    pre-commit==3.8.0
+    ruff==0.6.3
+    safety>=2.4.0b2 # we need to upgrade to 3.x
     aiosmtpd==1.4.6
 
 telemetry =
diff --git a/packages/syft/src/syft/service/service.py b/packages/syft/src/syft/service/service.py
index 784eca2e340..7f5158643ea 100644
--- a/packages/syft/src/syft/service/service.py
+++ b/packages/syft/src/syft/service/service.py
@@ -285,13 +285,13 @@ def register_lib_obj(lib_obj: CMPBase) -> None:
 
 
 # hacky, prevent circular imports
-for lib_obj in action_execute_registry_libs.flatten():
-    # # for functions
-    # func_name = func.__name__
-    # # for classes
-    # func_name = path.split(".")[-1]
-    if isinstance(lib_obj, CMPFunction) or isinstance(lib_obj, CMPClass):
-        register_lib_obj(lib_obj)
+# for lib_obj in action_execute_registry_libs.flatten():
+#     # # for functions
+#     # func_name = func.__name__
+#     # # for classes
+#     # func_name = path.split(".")[-1]
+#     if isinstance(lib_obj, CMPFunction) or isinstance(lib_obj, CMPClass):
+#         register_lib_obj(lib_obj)
 
 
 def deconstruct_param(param: inspect.Parameter) -> dict[str, Any]: