Rattler is a library that provides common functionality used within the conda ecosystem (what is conda & conda-forge?). The goal of the library is to enable programs and other libraries to easily interact with the conda ecosystem without being dependent on Python. Its primary use case is as a library that you can use to provide conda related workflows in your own tools.
Rattler is written in Rust and tries to provide a clean API to its functionalities (see: Components). With the primary goal in mind we aim to provide bindings to different languages to make it easy to integrate Rattler in non-rust projects.
Rattler is actively used within the https://prefix.dev backend.
This repository also contains a binary (use cargo run
to try) that shows some of the capabilities of the library.
This is an example of installing an environment containing cowpy
and all its dependencies from scratch (including Python!):
To get started with the code:
- make sure you downloaded the repository (including submodules),
- have a working Rust installation on your system,
- have a
c
compiler andcmake
installed (needed for libsolv).
Then run:
cargo run --release create jupyterlab
The above command will execute the rattler-bin
executable in release mode.
It will download and install an environment into the .prefix
folder that contains jupyterlab
and all the dependencies required to run it (like python
)
Run the following command to start jupyterlab:
# on windows
.\.prefix\Scripts\jupyter-lab.exe
# on linux or macOS
./.prefix/bin/jupyter-lab
Voila! You have a working installation of jupyterlab installed on your system! You can of course install any package you want this way. Try it!
We would love to have you contribute! For a good list of things you could help us with, take a look at our good first issues. If you want to go deeper though, any open issue is up for grabs. Just let us know what you start on something.
For questions, requests or a casual chat, we are very active on our discord server. You can join our discord server via this link.
Rattler consists of several crates that provide different functionalities.
- rattler_conda_types: foundational types for all datastructures used withing the conda eco-system.
- rattler_package_streaming: provides functionality to download, extract and create conda package archives.
- rattler_repodata_gateway: downloads, reads and processes information about existing conda packages from an index.
- rattler_shell: code to activate an existing environment and run programs in it.
- rattler_solve: a backend agnostic library to solve the package satisfiability problem.
- rattler_virtual_packages: a crate to detect system capabilities.
- rattler: functionality to create complete environments from scratch using the crates above.
- rattler-bin: an example of a package manager using all the crates above (see: showcase)
You can find these crates in the crates
folder.
The conda ecosystem provides cross-platform, binary packages that you can use with any programming language.
conda
is an open-source package management system and environment management system that can install and manage multiple versions of software packages and their dependencies.
conda
is written in Python.
The aim of Rattler is to provide all functionality required to work with the conda ecosystem from Rust.
Rattler is not a reimplementation of conda
.
conda
is a package management tool.
Rattler is a library to work with the conda ecosystem from different languages and applications.
For example, it powers the backend of https://prefix.dev.
conda-forge
is a community-driven effort to bring new and existing software into the conda ecosystem.
It provides tens-of-thousands of up-to-date packages that are maintained by a community of contributors.
For an overview of available packages see https://prefix.dev.