node-rs VS jieba-wasm

Provide faster npm packages to Node.js users: https://github.com/napi-rs/node-rs

And you can call the hardware instructions like SIMD: https://github.com/napi-rs/node-rs/tree/main/packages/crc32

Features: * Interactive graph representations of the way characters connect to form words, with color coding based on which words and characters are most commonly used. * Sankey diagrams to represent the way words or lemmas are most commonly used together, based on analysis of tens of millions of lines of subtitles. * Cumulative usage graphs, to illustrate the pareto principle as it applies to language learning, with the most common words being disproportionately valuable. * Text to speech, plus highlighting, via the Web Speech API. * Usable as a full dictionary, with definitions and example sentences (both human and AI generated) for hundreds of thousands of words. * In-browser flash cards, plus stats (with graphs I implemented via CSS grid for some reason), exportable to other flash card systems. * Recommended characters based on the user's graph traversal stats. * Light and dark themes. * Sentence tokenization (which is complicated in languages that aren't space-delimited) via Intl.Segmenter or jieba-wasm. * Offline support via service worker/cache storage.