21 posts
NumRS2 0.4.0 is the biggest release in the series: forward/reverse automatic differentiation with Hessians and hyperdual numbers, a distributed data/model-parallel framework, WebAssembly bindings that run numerics in the browser, plotters-based visualization, and a vast applied-math expansion — reinforcement learning, quantum computing, computer vision, computational geometry, FEM, wavelets, graphs, information theory, and control systems — all on pure-Rust SciRS2 0.5.0 with 128+ SIMD functions and 3,921+ passing tests.
A measurement-focused patch for NumRS2, the pure Rust NumPy alternative. 0.3.3 adds criterion benchmark suites for I/O, complex-number, and sparse-matrix operations, refreshes every dependency to its latest version, clears clippy warnings, and nudges the distributed-optimization module forward. Same numerical core, on SciRS2 0.3.0 and OxiBLAS.
SciRS2 0.4.2 — pure-Rust SciPy/NumPy/scikit-learn replacement, 2.94M SLoC, 27,632 tests, 29 crates. This release adds Neural Architecture Search, CMA-ES, Mamba SSM, async/unified GPU memory, H-matrix compression, streaming FFT, DLPack zero-copy, and Apache Iceberg/DataFusion IO. No C/Fortran.
SciRS2 0.4.1 is a pure-Rust SciPy/NumPy/scikit-learn replacement: 2.91M SLoC, 25,863 tests, 32 crates. This release improves JIT compilation in scirs2-core, ships a 76-test WebGPU/WASM backend for browser GPU compute, and validates 15+ distributions to numerical accuracy. No C. No Fortran.
A small packaging and distribution patch for NumRS2, the pure Rust NumPy alternative. 0.3.2 smooths out PyPI publishing so the maturin-built Python wheels pip install cleanly, and resolves a minimum-output-size constraint. Same numerical core as 0.3.1, on SciRS2 0.3.0 and the OxiBLAS pure-Rust backend.
High-performance numerical computing library in pure Rust — the production-grade NumPy alternative. 222k+ SLoC, 4,704+ tests, 128+ SIMD-vectorized functions, N-dimensional arrays, advanced linalg via OxiBLAS, automatic differentiation, FFT, GPU (wgpu), Python bindings (PyO3), Arrow interop. 80–172% of OpenBLAS performance, zero C/Fortran deps. The sovereign numerical layer for SciRS2 and the entire COOLJAPAN ecosystem (now 21M+ SLoC total).
SciRS2 0.3.4 is the pure-Rust SciPy/NumPy/scikit-learn replacement: 2.59M SLoC, 19,700+ tests, 29 workspace crates. This release upgrades OxiARC to 0.2.5 and purges the last C-library (GMP/MPFR) and the zip crate from the dependency tree for a leaner, smaller-attack-surface, 100% Pure Rust supply chain.
SciRS2 is a pure-Rust SciPy/NumPy/scikit-learn replacement — 2.59M SLoC, 19,700+ tests, 29 crates, no C or Fortran. The 0.3.2 patch upgrades the Python bindings to pyo3 0.28.2 (Python::attach) for free-threaded CPython 3.13, plus benchmark modernization with std::hint::black_box.
2.59 million lines of pure Rust. SciPy-compatible APIs, 10-100× faster with SIMD, no C/Fortran deps, 29 crates, 19,700+ tests, Python + WASM + no_std. The sovereign scientific computing and AI foundation for the entire COOLJAPAN ecosystem.
NumRS2 0.3.0 replaces the O(n²) cyclic spline solve with a Sherman-Morrison O(n) cyclic Thomas algorithm, enables DEFLATE compression for .npz via OxiARC (no zlib, no C), and lifts the entire scirs2-* stack to v0.3.0 — faster KD-trees, SIMD, and special functions.
SciRS2 is a pure-Rust SciPy/NumPy/scikit-learn replacement, and 0.3.0 is the biggest release yet — transformers, GNNs, diffusion, MoE/RLHF, Gaussian processes, MCMC, survival analysis, radar/compressed sensing, LOBPCG/AMG, plus new Julia and Python bindings. 19,644 tests, ~2.59M lines of Rust. No C, no Fortran.
NumRS2 0.2.0 closes the last native escape hatches: the numpy dependency is replaced by scirs2-numpy, OpenBLAS linker flags are gone in favor of the OxiBLAS pure-Rust backend, and the build is hardened to link cleanly with --all-features. A focused COOLJAPAN compliance release.
SciRS2 is the pure-Rust SciPy/NumPy replacement. 0.2.0 restores the entire workspace to zero compile errors, makes Pure Rust OxiFFT the default FFT backend (rustfft now optional), rebuilds the neural stack, and ships the first WebAssembly bindings. ~11,400 tests, zero warnings. No C. No Fortran.
Pure-Rust SciPy/NumPy replacement. 0.1.5 is a polish release — workspace version alignment, strict scirs2-core import policy, correct GPU feature wiring, and a leaner dependency tree. OxiFFT stays the Pure Rust default. No C, no Fortran, no system dependencies.
Pure-Rust SciPy/NumPy replacement. This release: SIMD phase 60-69 (8 new AVX2/NEON modules), modular Bowyer-Watson Delaunay (2D/3D/ND + constrained), OxiFFT now the 100% Pure Rust FFT default, and autograd optimizer fixes. 11,400+ tests, 27 crates. No C, no Fortran.
SciRS2 0.1.3 expands Python (PyO3) bindings across autograd, datasets, graph, io, metrics, ndimage, neural, sparse, text, transform and vision; adds PCHIP linear extrapolation; better manylinux wheels and an Adam scalar fix. 100% Pure Rust on OxiBLAS + OxiFFT.
SciRS2 0.1.2 completes the Pure Rust journey — FFT migrates from FFTW to Pure Rust OxiFFT, plus zero-allocation SIMD ops and functional optimizers (SGD/Adam/RMSprop). 100% Pure Rust by default on OxiBLAS + OxiFFT. No C, no Fortran.
NumRS2 0.1.0 is the first stable release of a NumPy-inspired numerical computing library for Rust: ~155k lines, 1,111+ tests, 86 AVX2 + 42 ARM NEON SIMD functions, pure-Rust linear algebra via OxiBLAS, and zero C/Fortran dependencies.
NumRS2 0.1.1 is a same-day point release that locks in our first stable as the installable baseline: `cargo add numrs2` now resolves to 0.1.1, with the same public API, zero warnings, and 1,111+ passing tests — a drop-in over 0.1.0.
SciRS2 0.1.1, a maintenance release one day after the first stable build — documentation refinements, dependency updates, build improvements and minor fixes on the 100% Pure Rust, OxiBLAS-backed SciPy/NumPy stack. No C, no Fortran.
SciRS2 0.1.0, the first stable release — a 100% Pure Rust scientific computing & AI/ML stack with SciPy-compatible APIs, built on OxiBLAS, refactored into clean modules with zero warnings and 10,861 passing tests. No C, no Fortran.