3 Repos
Tools and datasets that provide global or custom usage percentages for different browser versions.
Distinct from Usage Analytics: Distinct from Usage Analytics: focuses on market-share statistics for browser versions rather than tracking a specific application's user behavior.
Explore 3 awesome GitHub repositories matching web development · Browser Usage Statistics. Refine with filters or upvote what's useful.
Browserslist is a browser target configuration tool and market share database. It provides a shared configuration layer that synchronizes supported browser versions across various front-end development tools, such as JavaScript compilers and CSS autoprefixers, to determine necessary syntax transforms and polyfills. The project translates human-readable queries into specific lists of browser versions based on global and regional usage statistics. It allows for the integration of custom analytics data to override global market share and can generate regular expressions from target lists to dete
Determines which browser versions meet specific usage thresholds or regional coverage requirements.
Browserslist is a browser compatibility configuration tool and a shared specification that synchronizes target browser versions across front-end build tools. It serves as a centralized system for defining browser support, ensuring consistency across CSS autoprefixers, JavaScript transpilers, and linting tools. The tool integrates browser usage analytics to determine target lists based on real-world traffic statistics and global usage data. It also functions as a user agent regex generator, converting browser version queries into regular expressions for matching and validating browser user age
Integrates global and real-world traffic statistics to help determine compatible browser target lists.
caniuse 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
Hides browser versions below a configurable usage threshold to focus on relevant support data.