GitHub - GoogleChromeLabs/webm-wasm: webm-wasm lets you create webm videos in JavaScript via WebAssembly.
webm-wasm lets you create webm videos in JavaScript via WebAssembly. The library consumes raw RGBA32 buffers (4 bytes per pixel) and turns them into a webm video with the given framerate and quality. This makes it compatible out-of-the-box with ImageData from a <canvas>. With realtime mode you can also use webm-wasm for streaming webm videos. Works in all major browsers (although Safari can’t play
Oxidizing Source Maps with Rust and WebAssembly – Mozilla Hacks - the Web developer blog
Edit: Further algorithmic improvements yielded additional speedups over what is described here, for total speedups of up to 10.9x faster than the original implementation. Read about these extra gains in Speed Without Wizardry! Tom Tromey and I have replaced the most performance-sensitive portions of the source-map JavaScript Library’s source map parser with Rust code that is compiled to WebAssembl
GitHub - xtuc/webassemblyjs: Toolchain for WebAssembly
ast - AST utils for webassemblyjs cli - Toolbox for WebAssembly dce - Eliminate unused functions in your WASM binary eslint-plugin-webassembly - ESLint plugin for WebAssembly. floating-point-hex-parser - Parser function for floating point hexadecimals. helper-buffer - Buffer manipulation helpers helper-fsm - FSM implementation helper-wasm-bytecode - Constants for the wasm format helper-wasm-sectio
GitHub - Web-Sight/WebSight: OpenCV wasm and asm.js port
WebSight demonstrates a comparison of performance between JavaScript, asm.js, and WebAssembly. A user uploaded static image or live video is displayed for each target. Performance is measured by the length of time it takes to detect face(s) or eyes in the image or video. Each target is run in its own web worker. The popular open source computer vision library, OpenCV, was compiled using Emscripten
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Release Tesseract.js v2.0.0 · naptha/tesseract.js
Release tfjs-backend-wasm-v1.5.1-alpha5: Update tfjs-backend-wasm to 1.5.1-alpha5. (#2610) · tensorflow/tfjs
GitHub - zikaari/onigasm: Oniguruma regex library on the web using WebAssembly
GitHub - tuananh/camaro: camaro is a Node.js library that transform XML to JSON, using Node.js binding to native XML parser pugixml, one of the fastest XML parser around.
GitHub - rsms/wasm-util: WebAssembly utilities