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Showing content from https://github.com/errata-ai/vale below:

errata-ai/vale: :pencil: A markup-aware linter for prose built with speed and extensibility in mind.

Vale is a command-line tool that brings code-like linting to prose. It's fast, cross-platform (Windows, macOS, and Linux), and highly customizable.

Hi there! I'm @jdkato, the sole developer of Vale. If you'd like to help me dedicate more time to developing, documenting, and supporting Vale, feel free to donate through GitHub Sponsors or Open Collective. Any donation—big, small, one-time, or recurring—is greatly appreciated!

Thanks to DigitalOcean for providing hosting credits for Vale Studio.

Thanks to Appwrite for supporting Vale through their Open Source Sponsorship program.

See the documentation for more information.

🔍 At a Glance: Vale vs. <...>

NOTE: While all of the options listed below are open-source (CLI-based) linters for prose, their implementations and features vary significantly. And so, the "best" option will depends on your specific needs and preferences.

Tool Extensible Checks Supports Markup Built With License Vale Yes (via YAML) spelling, style Yes (Markdown, AsciiDoc, reStructuredText, HTML, XML, Org) Go MIT textlint Yes (via JavaScript) spelling, style Yes (Markdown, AsciiDoc, reStructuredText, HTML, Re:VIEW) JavaScript MIT RedPen Yes (via Java) spelling, style Yes (Markdown, AsciiDoc, reStructuredText, Textile, Re:VIEW, and LaTeX) Java Apache-2.0 write-good Yes (via JavaScript) style No JavaScript MIT proselint No style No Python BSD 3-Clause Joblint No style No JavaScript MIT alex No style Yes (Markdown) JavaScript MIT

The exact definition of "Supports Markup" varies by tool but, in general, it means that the format is understood at a higher level than a regular plain-text file (for example, features like excluding code blocks from spell check).

Extensibility means that there's a built-in means of creating your own rules without modifying the original source code.

All benchmarking was performed using the open-source hyperfine tool on a MacBook Pro (2.9 GHz Intel Core i7):

hyperfine --warmup 3 '<command>'

The corpus IDs in the above plots—gitlab and ydkjs—correspond to the following files:


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