A high-performance NLP pipeline — tokenization, sentence boundary detection, negation handling, sentiment analysis, POS tagging, NER, and custom entities — in a single zero-dependency package with full TypeScript support. Runs identically in Node.js and browsers. Run the live benchmark on Observable.

2M+ tokens/sec

~3M downloads/year

~100% test coverage

2,750+ dependents

From IIoT streams to actionable insight — in real time. Composable blocks for signal conditioning, statistics, anomaly detection, and flow control — from Kalman filters to spiking neural networks. Express what you want, not how to build it. AI-native via MCP Server. Run the live benchmark in your browser. Explore the documentation and use cases.

36+ building blocks

1M+ msgs/sec

~100K msgs/sec

AI-native

Edge to cloud

We believe rigorous tools — engineered precisely, tested thoroughly, secured seriously — should be freely available. Everything is MIT licensed. We also maintain focused utility packages for text processing, search, similarity, and statistics: winkjs.org/packages.

Need expert guidance on NLP, streaming analytics, IoT, or edge computing? Reach out.

Thank you Zulip and Coveralls for sponsoring winkJS.

Love our work?  ⭐ Star winkNLP and winkComposer — it helps others discover the project.