2 dépôts
Awesome GitHub RepositoriesCSS Compatibility Diagnostics
Tools that analyze CSS for outdated syntax or incorrect property declarations to ensure cross-browser compatibility.
Distinct from Warning Suppressions: None of the candidates relate to CSS syntax validation or compatibility warnings; they focus on Django, system monitoring, or warning suppression.
Explore 2 awesome GitHub repositories matching user interface & experience · CSS Compatibility Diagnostics. Refine with filters or upvote what's useful.
Awesome CSS Compatibility Diagnostics GitHub Repositories
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- postcss/autoprefixer
postcss/autoprefixer
22,257Voir sur GitHubAutoprefixer is a PostCSS plugin and browser compatibility tool that automatically manages vendor prefixes for CSS rules. It functions as an abstract syntax tree transformer that parses CSS to insert required prefixes and remove obsolete ones based on real-time compatibility data. The project differentiates itself by providing a dedicated CSS Grid polyfill, which translates modern Grid syntax into legacy formats for older browser versions. It also allows for granular control through the use of inline CSS comments to selectively enable or disable prefixing for specific rules. The system cover
Provides diagnostic warnings for outdated syntax and incorrect property declarations to identify browser compatibility issues.
JavaScript - fyrd/caniuse
Fyrd/caniuse
5,852Voir sur GitHubcaniuse is a community-maintained dataset and command-line tool that provides browser support information for HTML, CSS, and JavaScript features. At its core, it stores structured browser compatibility facts as a flat JSON dataset, keyed by feature identifiers and browser-version tuples, making the data easily queryable through a CLI or JSON API. The project distinguishes itself through several practical tools built on top of this dataset. It includes a CSS compatibility linter that scans stylesheets to identify features lacking support in a target browser audience, and a feature support quer
Scans stylesheets to identify CSS features lacking support in a target browser audience based on usage analytics.
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