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Astral vs conda-lock

Astral

astral.sh

conda-lock

conda.github.io

Side by side

FigureAstralconda-lock
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYesYes
LinuxYesYes
Plans published11
Spec score · Python Package Managers8.1 (#5)8.0 (#9)

Plans

Astral

  • Open-source Astral toolsFree

Astral pricing →

conda-lock

  • Free and open sourceFree

conda-lock pricing →

In their own words

Astral

Astral makes open-source tools for Python development, including Ruff, a linter, and uv, a package and project manager. Both are written in Rust. uv brings together project management, a universal lockfile, script execution, Python version management, tool installation, workspaces and a pip-compatible interface. Astral describes that interface as providing a 10–100x speedup over pip. uv supports macOS, Linux and Windows. Its documented integrations include Docker, Jupyter, marimo, GitHub Actions, GitLab CI/CD, pre-commit, PyTorch, FastAPI, Bazel, artifact registries, Renovate, Dependabot, AWS Lambda and Coiled. Astral says its tools are permissively licensed and free forever. It describes security controls for workflows and releases, including read-only default workflow permissions, full-length commit-SHA pinning, Trusted Publishing, Sigstore attestations and immutable GitHub releases. Documentation directs users to its Discord community for support. The separate pyx package registry offers optimized installs and other package-management features, but is no longer accepting new signups. Astral has announced an agreement to join OpenAI as part of the Codex team.

Visit astral.sh

conda-lock

conda-lock is a lightweight library for producing reproducible lockfiles for conda environments. It solves dependencies separately for each target platform, allowing installations from generated lockfiles to avoid running the conda solver. Inputs can come from environment.yml, conda-build meta.yaml, or pyproject.toml dependency specifications. Its default unified lockfile covers multiple platforms and can be rendered into other lockfile formats. Documented target examples include Linux, macOS, Windows, and additional Linux architectures. The project describes use alongside conda, mamba, pip, Docker, and pixi, and provides installation routes through pip, conda, and mamba; pipx or condax are recommended for isolated installation. Mixed conda-and-pip locking is experimental. Channel access supports token or basic authentication, with environment-variable substitution for credentials. The unified lockfile can omit raw credential-bearing channel URLs when it matches credential portions to environment variables, although rendered explicit lockfiles may contain substituted variables. Private pip repository support is limited to legacy PyPI repositories using basic authentication. The software is MIT-licensed and free.

Visit conda.github.io