chore(main): release numpy-node 0.3.0

[swernerx]

🤖 I have created a release beep boop

0.3.0 (2026-01-20)

⚠ BREAKING CHANGES

• The library now uses native C++ bindings for all array operations. The pure TypeScript implementation has been removed.

Features

• add 18 new real-world benchmark scenarios (f99bf82)
• add 20 new scenarios to NumPy Python benchmark (7d5345a)
• add boolean array support and NumPy conformity testing (4c86a50)
• add completeness check for NumPy conformity tests (29b1139)
• add fused arithmetic operations for reduced N-API overhead (d65a182)
• add fused C++ operations for performance optimization (01d04e9)
• add in-place arithmetic operations (6ca7dc1)
• add keepdims parameter to reduction operations (0d1bad6)
• add main entry point with np namespace (fcfa5df)
• add matrix-vector dot, norm variants, statistics, and NDArray methods (a6eeaf4)
• add NumPy vs numpy-node benchmark comparison (b834dd7)
• add platform-specific package distribution (60f005f)
• add release-please for automated releases (79f0962)
• auto-generate NumPy reference on pnpm install (21caf0e)
• core: add NDArray class and type system (3dbc6eb)
• creation: add array creation functions (5f62ff5)
• export linalg module from main entry point (87a9e38)
• implement einsum (Einstein summation) (91e6dca)
• implement FFT module with fft, ifft, rfft, irfft (06aca8c)
• implement NumPy-style views for transpose and reshape (25e7d2b)
• implement Tier 3+4 NumPy functions (67ba81a)
• linalg: add linear algebra module (2d36f0a)
• linalg: implement eigvals, eig, svd, qr, cholesky, matrix_rank (f4cf8f9)
• math: implement axis-based reductions for sum, mean, std (15c4b0c)
• math: implement NumPy-style broadcasting for binary operations (86969bc)
• native: add C++ N-API module scaffolding (1f7492d)
• ops: add array operations (15a393f)
• stats: add statistical functions (81f961b)
• switch to npm trusted publishing with provenance (549fe9e)
• use local .venv for NumPy installation (3e8e259)

Bug Fixes

• add id-token permission to release-please workflow (2abc41b)
• add missing cmath include and extend CI matrix (6010e20)
• add repository field for npm provenance validation (fcf96c1)
• also trigger publish on manual releases (a0d42d4)
• ci: install lapack-reference separately on Windows (4c7717b)
• ci: trigger publish directly via release event, not workflow_call (deafae0)
• ci: upgrade npm for OIDC trusted publishing support (d0534be)
• ci: use Node.js 24 for publish job (includes npm v11) (dc7948e)
• correct softmax cross-entropy benchmark (d20f1c9)
• define _USE_MATH_DEFINES for Windows M_PI (b5cb4e8)
• install openblas with lapack feature on Windows (c78f631)
• lockfile (c329a45)
• M_PI must be defined before any includes on MSVC (8ac036a)
• native: configure cmake-js and fix build errors (2929e6c)
• ops: fix reduceAxis keepdims indexing bug (88a4c02)
• remove darwin-x64, use macos-15 for arm64 (77072cf)
• stats: fix average and variance functions (00e5ff4)
• update CI to use Node 22 and refresh lockfile (15b5176)
• update macOS runner for x64 builds (2ffb447)
• use @numpy-node scope for platform packages (94a563f)
• use PAT for release-please (265123a)

Performance Improvements

• add batch_matmul for reduced N-API overhead (3ddc8fd)
• add broadcasting optimization and fused operations (8057cae)
• add fused ML operations and optimize benchmarks to 70% wins (9543d95)
• add fused native operations for numerical methods (fc84fac)
• add native percentile with O(n) quickselect algorithm (7b96aec)
• add native percentile with optimized sort (14e94a4)
• add vDSP-accelerated 2D-1D broadcasting for add and multiply (b6fb482)
• add vDSP/vecLib optimizations for macOS (7c04bea)

Code Refactoring

• replace pure TypeScript with native C++ bindings (a8fa1ce)

---

This PR was generated with Release Please. See documentation.

[codecov]

Welcome to Codecov 🎉

Once you merge this PR into your default branch, you're all set! Codecov will compare coverage reports and display results in all future pull requests.

Thanks for integrating Codecov - We've got you covered ☂️