# Rattler: Rust crates for fast handling of conda packages ![License][license-badge] [![Build Status][build-badge]][build] [![Project Chat][chat-badge]][chat-url] [![Pixi Badge][pixi-badge]][pixi-url] [![docs main][docs-main-badge]][docs-main] [![python docs main][py-docs-main-badge]][py-docs-main] [license-badge]: https://img.shields.io/badge/license-BSD--3--Clause-blue?style=flat-square [build-badge]: https://img.shields.io/github/actions/workflow/status/mamba-org/rattler/rust-compile.yml?style=flat-square&branch=main [build]: https://github.com/mamba-org/rattler/actions [chat-badge]: https://img.shields.io/discord/1082332781146800168.svg?label=&logo=discord&logoColor=ffffff&color=7389D8&labelColor=6A7EC2&style=flat-square [chat-url]: https://discord.gg/kKV8ZxyzY4 [docs-main-badge]: https://img.shields.io/badge/rust_docs-main-yellow.svg?style=flat-square [docs-main]: https://mamba-org.github.io/rattler [py-docs-main-badge]: https://img.shields.io/badge/python_docs-main-yellow.svg?style=flat-square [py-docs-main]: https://mamba-org.github.io/rattler/py-rattler [pixi-badge]:https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/prefix-dev/pixi/main/assets/badge/v0.json [pixi-url]: https://pixi.sh Rattler is a library that provides common functionality used within the conda ecosystem ([what is conda & conda-forge?](#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](#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 by [pixi](https://github.com/prefix-dev/pixi), [rattler-build](https://github.com/prefix-dev/rattler-build), and the https://prefix.dev backend. ## Showcase 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!):  ## Give it a try! Before you begin, make sure you have the following prerequisites: - A recent version of [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git) - A recent version of [pixi](https://github.com/prefix-dev/pixi) Follow these steps to clone, compile, and run the rattler project: ```shell # Clone the rattler repository along with its submodules: git clone --recursive https://github.com/mamba-org/rattler.git cd rattler # Compile and execute rattler to create a JupyterLab instance: pixi run rattler create jupyterlab ``` The above command will execute the `rattler` executable in release mode. It will download and install an environment into the `.prefix` folder that contains [`jupyterlab`](https://jupyterlab.readthedocs.io/en/stable/getting_started/overview.html) and all the dependencies required to run it (like `python`) Run the following command to start jupyterlab: ```shell # 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! ## Contributing 😍 We would love to have you contribute! See the CONTRIBUTION.md for more info. For questions, requests or a casual chat, we are very active on our discord server. You can [join our discord server via this link][chat-url]. ## Components 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_index**: create local conda channels from local packages. * **rattler**: functionality to create complete environments from scratch using the crates above. * **rattler-lock**: a library to create and parse lockfiles for conda environments. * **rattler-networking**: common functionality for networking, like authentication, mirroring and more. * **rattler-bin**: an example of a package manager using all the crates above (see: [showcase](#showcase)) You can find these crates in the `crates` folder. Additionally, we provide Python bindings for most of the functionalities provided by the above crates. A python package `py-rattler` is available on [conda-forge](https://prefix.dev/channels/conda-forge/packages/py-rattler) and [PyPI](https://pypi.org/project/py-rattler/). Documatation for the python bindings can be found [here](https://mamba-org.github.io/rattler/py-rattler). ## What is conda & conda-forge? 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.