GitHub - dupontcyborg/numpy-ts: Fast, Complete NumPy for TypeScript & JavaScript

Complete NumPy implementation for TypeScript and JavaScript.

• 📊 Extensive API — 476 of 507 NumPy functions (93.9% coverage)
• 🏃🏽‍♂️ Fast — 1.25x faster than NumPy on average across 7,200 benchmarks, thanks to Zig-WASM SIMD kernels
• ✅ NumPy-validated — 20,000+ tests compared against Python NumPy
• 🔒 Type-safe — Full TypeScript type definitions
• 🌳 Tree-shakeable — Import only what you use (np.add() -> ~10kB bundle)
• 🌐 Universal — Zero dependencies, works in Node.js, Deno, Bun and browsers

Docs • Playground • Examples • Coverage • Benchmarks

Install

npm install numpy-ts
# or: pnpm add numpy-ts · yarn add numpy-ts · bun add numpy-ts · deno add npm:numpy-ts

Quick Start

import * as np from 'numpy-ts';

// Array creation with dtype support
const A = np.array([[1, 2], [3, 4]], 'float32');
const B = np.ones([2, 2], 'int32');

// Broadcasting and chained operations
const result = A.add(5).multiply(2);

// Linear algebra
const C = A.matmul(B);
const trace = A.trace();

// Reductions with axis support
const colMeans = A.mean(0);  // [2.0, 3.0]

// NumPy-style slicing with strings
const row = A.slice('0', ':');    // A[0, :]
const submatrix = A.slice('0:2', '1:');  // A[0:2, 1:]

Sponsors

numpy-ts is brought to you by

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Contributing

Issues and PRs are welcome: https://github.com/dupontcyborg/numpy-ts

AI Disclosure

See our AI disclosure for details on how AI was used in building numpy-ts.

License

MIT © Nicolas Dupont