Ruff vs Taplo

Ruff is a Python linter and code formatter written in Rust, available free under a permissive open-source license. It includes more than 900 built-in lint rules, including native versions of popular Flake8 plugin rules, and can automatically correct violations such as unused imports. Its formatter aims to serve as a replacement for Black, though the documentation allows for differences in some cases. The built-in Ruff Language Server supplies diagnostics, fixes, and formatting; the documentation recommends pairing it with another Python language server for navigation and autocompletion. Setup guidance covers VS Code, Sublime Text, PyCharm, and Zed, while CI support includes GitHub Actions, GitLab CI/CD, and pre-commit hooks. Ruff can be installed through uv, pip, pipx, standalone installers, Homebrew, Conda, and other package managers. It supports configuration in pyproject.toml, ruff.toml, or .ruff.toml. A Bandit-derived rule group checks for common Python security issues. Ruff runs on Linux, macOS, and Windows, and is also published as a Docker image. The maker describes it as 10–100x faster than tools such as Flake8 and Black.

Taplo is a free toolkit for validating, formatting, and querying TOML documents, with support for TOML 1.0.0. Its validator checks syntax and semantic issues such as duplicate keys, and can apply JSON Schema Draft 4 validation. The formatter can edit files in place or use standard input and output; by default, it stops when syntax errors occur to avoid destructive edits. The CLI also converts TOML to JSON and retrieves values through query expressions. Taplo’s language server communicates through standard input/output or TCP, though multiple TCP clients are not supported. It is excluded from default builds and is unavailable in the NPM installation. The Even Better TOML Visual Studio Code extension adds highlighting, validation, folding, navigation, renaming, formatting, and JSON Schema completion; its listing calls it a preview that may contain bugs or crash. Taplo can retrieve schemas from catalogs such as JSON Schema Store and match them to files by name. Install options include precompiled releases, Cargo, Homebrew, NPM, and Docker; precompiled releases are listed for Linux, macOS, and Windows.