{"categories":[{"label":"Build Tools","url":"https://skillfed.io/packages/category/software-development-build-tools/2"}],"enrichment":{"capability":"py-rattler provides Python bindings to Rust-based conda ecosystem functionality, enabling environment solving, package installation, and conda operations without depending on Python's conda implementation.","skillfed_tags":["conda-ecosystem","async-first","rust-bindings"],"use_cases":["Build tools that need to create isolated conda environments programmatically without invoking conda directly.","Package managers or deployment systems that solve and install conda packages as part of their workflow.","Cross-platform applications that require conda ecosystem support without Python conda as a dependency.","Backend services (like prefix.dev) that need fast, non-blocking conda operations via async.","Version resolution and dependency analysis for conda packages in custom applications."],"what_it_does":"py-rattler is a Python wrapper around Rattler, a Rust library that reimplements core conda ecosystem functionality for speed and language independence. It lets you solve package dependencies, install conda packages into environments, and run commands within those environments\u2014all from Python code without relying on conda itself. The library is designed around async/await patterns and exposes the full power of the underlying Rust implementation.\n\nThe package targets developers who need to embed conda workflows into their own tools or applications. It has no runtime dependencies and ships as pre-compiled wheels for most platforms (x86_64, ARM, PowerPC, i686, Windows, macOS, Linux). Active maintenance and use in production systems like pixi and prefix.dev indicate maturity despite the Alpha classifier.","worth_installing":"Yes, if you need to embed conda workflows into Python applications. The permissive BSD license, active maintenance, zero runtime dependencies, and broad platform support make it low-risk. The Alpha status and mandatory async pattern are minor friction; verify that async fits your architecture and that the API stability meets your needs before committing to production use."},"id":"py-rattler","links":{"html":"https://skillfed.io/packages/py-rattler","md":"https://skillfed.io/packages/py-rattler.md","pypi":"https://pypi.org/project/py-rattler/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-09","license_spdx":"BSD-3-Clause","license_treatment":"permissive","name":"py-rattler","python_support":"supports_current","summary":"A blazing fast library to work with the conda ecosystem"},"popularity":{"monthly_downloads":776759,"position":5090,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.25.0"}