Astral vs SwiftLint

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.

SwiftLint is a free, MIT-licensed tool that checks Swift source against style rules and conventions accepted by the Swift community. It includes more than 200 built-in rules, with opt-in rules disabled by default. A project can set active rules, included and excluded paths, and rule settings in a `.swiftlint.yml` file. SwiftLint can automatically correct some violations, overwriting affected files, and its command line supports linting, analysis, baselines, rule listings, and multiple reporters. Documented integrations include Xcode and Swift Package Manager plugins, pre-commit, Fastlane, Docker, Visual Studio Code, and MegaLinter. Installation choices include package managers, prebuilt packages, and source builds. Releases include macOS, Windows, and Linux binaries. SwiftLint is intended for valid, compilable source, and non-compiling code may produce unexpected results, especially when autocorrecting. Analyzer rules are considerably slower than lint rules. The project is maintained by volunteers, and the maintainers describe it as non-commercial.