There are 4 repositories under vale topic.
:octocat: The official GitHub Action for Vale -- install, manage, and run Vale with ease.
Syntax-aware proofreading for your Laravel application.
Extension for code linting, all in one package. New linters can be easily added through an extension framework.
Vale config files, styles, and docs to help individuals and teams roll out Vale
A Vale-compatible implementation of the write-good linter.
A (work in progress) grammar, spelling and style plugin for Neovim
Documentation Style Guide for the Vale Linter. Owned and maintained by the Datadog Docs team.
⛔️ DEPRECATED ~~ GitHub action lint with Vale ✅❎ ~~ DEPRECATED ⛔️
Install 📝 Vale (grammar & style check tool ) in 🐍 Python environments. Package available at 📦 https://pypi.org/project/vale/
Use Vale to check against GOV.UK style rules
A GitHub bot built with ProBot to lint PRs using the Vale tool
Vale linter code for the Plain Language guidelines.
A Pre-Commit hook to lint Markdown & Text files for grammatical/spelling errors
A GitHub action to run Vale for spell-checking - much faster than the original action.
Vale style for Eclipse Che Documentation and related projects
This is the code for Documentation Portal website. This is my pet project where I write articles on using static site generators, MadCap Flare, Git, and Vale linter.
i.sentinel_1 is a GRASS GIS addon toolset that searches, downloads, imports and preprocesses SAR data from the Alaska Satellite Facility using ESA's SNAP software
GRASS GIS addon. Toolset for detecting water areas in Copernicus Sentinel-1 GRD scenes and registration of the watermasks in a space time dataset. Related to https://github.com/mundialis/vale/
GRASS GIS addon t.water.hazard takes an input watermask STRDS generated by t.sentinel_1.water and calculates flood frequency and flood depth maps from it. Related to https://github.com/mundialis/vale/
GRASS GIS addon v.disaggregate.population: Disaggregation of low resolution population data at administrative boundary level with high-res auxiliary data into a high-res raster with estimated local population