Complete NumPy implementation for TypeScript and JavaScript.

• 📊 Extensive API — 476 of 507 NumPy functions (93.9% coverage)
• ✅ NumPy-validated — 10,000+ tests compared against Python NumPy
• 🔒 Type-safe — Full TypeScript type definitions
• 🌳 Tree-shakeable — Import only what you use (np.add() -> ~10kB bundle)
• 🌐 Universal — Works in Node.js, Deno, Bun and browsers
• 🏃🏽‍♂️ Fast - Competitive with Python NumPy (and sometimes faster) thanks to Zig-WASM kernels

Docs • Examples • Benchmarks

npm install numpy-ts

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:]

• Docs: https://numpyts.dev
• Playground: https://numpyts.dev/playground
• Usage Examples: https://numpyts.dev/examples
• API Coverage Report: https://numpyts.dev/coverage
• Performance Benchmarks: https://numpyts.dev/performance

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

MIT © Nicolas Dupont