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awesome-javascript-data-science

Awesome JavaScript Data Science
https://github.com/hodovani/awesome-javascript-data-science

Last synced: about 16 hours ago
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  • Deep Learning

    • ml5 - Friendly Machine Learning for the Web.
    • TensorFlow.js - TensorFlow.js is a library for developing and training ML models in JavaScript, and deploying in browser or on Node.js.
    • brain.js - Neural networks in JavaScript.
    • WebDNN - Fastest DNN Execution Framework on Web Browser.
    • torch-js - An experimental port of the PyTorch API to JavaScript/TypeScript for Node.js (still in early development).
    • wasm-torch - A WebAssembly port of PyTorch's C++ backend, enabling inference in the browser or Node.
  • Visualization

    • Chart.js - Simple yet flexible JavaScript charting for designers & developers.
    • C3.js - D3-based reusable chart library.
    • Nivo - A rich set of dataviz components, built on top of the awesome d3 and Reactjs libraries.
    • Plotly.js - General-purpose data visualization.
    • Observable Plot - A high-level, experimental library for exploratory data visualization, from the creators of Observable.
    • Vega - A Visualization Grammar.
    • Falcon - Interactive Visual Analysis for Big Data. Crossfilter millions of records without latencies.
    • Apache ECharts - A powerful, highly customizable charting and visualization library, suitable for large datasets.
  • Data Munging

    • Lodash - A modern JavaScript utility library delivering modularity, performance & extras.
    • duckdb-wasm - DuckDB compiled to WebAssembly, letting you run fast SQL queries locally in the browser or Node.js.
    • zebras - A data manipulation and analysis library written in JavaScript offering the convenience of pandas or R.
    • jq-web - The command-line JSON processor, compiled with emscripten and exposed as JavaScript library.
    • sql.js - SQLite compiled to JavaScript through Emscripten.
    • datalib - A JavaScript data utility library.
    • Polars (WASM) - Polars, a lightning-fast DataFrame library in Rust, compiled to WebAssembly for use in JS environments.
  • Environments

    • HASH - Create and run multi-agent simulations in your browser.
    • Runkit - A Node Playground in your Browser.
    • Observable - The magic notebook for Exploring Data.
    • Iodide - Lets you do data science entirely in your browser.
    • Starboard Notebooks - Interactive JavaScript notebooks in your browser with minimal setup.
  • Data Formats

    • Papa Parse - Powerful, in-browser CSV parser.
    • Apache Arrow - Enable big data systems to process and transfer data quickly.
    • js-xlsx - Parser and writer for various spreadsheet formats.
  • Math and Statistics

    • mathjs - An extensive math library for JavaScript and Node.js.
    • jStat - Perform advanced statistical operations.
    • Simple Statistics - A JavaScript implementation of descriptive, regression, and inference statistics.
    • stdlib - A standard library for JavaScript, with an emphasis on numerical and scientific computing applications.
    • BigInteger.js - Is an arbitrary-length integer library for JavaScript.
    • bluemath - Math kernel in JavaScript.
    • fermat.ts - Powerful mathematics and statistics library, containing everything from number theory to random numbers and linear algebra classes.
    • libRmath.js - JavaScript Pure Implementation of Statistical R "core" numerical libRmath.so.
    • Simple Statistics - Statistical methods in readable JavaScript for browsers, servers, and people.
    • jStat - Perform advanced statistical operations.
  • Other languages

    • PyScript - A framework that allows you to run Python in the browser, built on top of Pyodide and WebAssembly.
    • Pyodide - The scientific Python stack, compiled to WebAssembly.
  • Machine learning

    • machinelearn.js - Machine Learning library for the web and Node.
    • mljs - Machine learning tools in JavaScript.
    • machinelearn.js - Machine Learning library for the web and Node.
    • ONNX Runtime Web - Run ONNX models in browsers (via WebGL/WebAssembly) and Node.js.
  • Natural Language Processing

    • wink - Open Source packages for NLP, ML and Statistics in Node JS to build production grade solutions.
    • twitter-text-js - A JavaScript utility that provides text processing routines for Tweets.
    • Franc - Natural language detection.
    • Natural - General natural language facilities for node.
    • node-nlp - A Fork of Natural with many additional capabilities.
    • Compromise - Modest natural-language processing.
    • sentiment - AFINN-based sentiment analysis for Node.js.
    • transformers.js - Run Hugging Face Transformer models directly in JavaScript (browser or Node.js) using WebAssembly acceleration.
    • Knwl.js - Find Dates, Places, Times, and More. A .js library for parsing text for specific information.
    • Talisman - A straightforward & modular NLP, machine learning & fuzzy matching library for JavaScript.
    • compromise - Interprets and pre-parses English.
    • Underscore.string - Not actually an NLP library, but a useful toolkit for working with strings in JavaScript.