Math Plus

Math Plus is a family, not a package. Install only what you need.

npm install @johnhenry/math-plus-tensor-core

Everything below is published independently under @johnhenry/math-plus-*, so a project that wants an FFT doesn’t pull in a WebGPU backend or an ONNX runtime.

Tensors

Package	Purpose
tensor-core	Typed n-dimensional arrays — dtypes, strides and views, broadcasting, .npy I/O. Start here.
tensor-autograd	Reverse-mode automatic differentiation over tensor-core tensors
tensor-compile	Elementwise expression IR and fusion — trace once, execute fused
tensor-wasm	Rust→WASM CPU kernels, flat-numeric extern-C ABI with no wasm-bindgen marshalling on hot paths
tensor-webgpu	WebGPU GEMM, attention-adjacent primitives, and IR fusion. Chromium-family browsers only.

Data

Package	Purpose
frame-arrow	Immutable, expression-oriented Frame/Series dataframes on Apache Arrow
frame-parquet	Parquet read/write into frame-arrow, built on hyparquet
data	Async dataset pipelines — a curated data namespace

Signal, media, and numerics

Package	Purpose
fft	ComplexTensor plus fft/ifft/rfft/irfft
signal	convolve, stft/istft, findPeaks, sosFilter, butter, resamplePoly
image	resize and normalize tensor operations

Types, bridges, and infrastructure

Package	Purpose
scalar-types	Re-exports @johnhenry/math’s ComplexNumber, Rational, Decimal with tensor-facing traits
unit	Unit and dimension scalar type — magnitude plus dimension metadata, parsing, formatting
adapter-math	Bridge between @johnhenry/math’s Vector/Matrix and the tensor side
adapter-onnx	ONNX Runtime Web wrapper — onnx.load(source) / model.run(inputs)
mcp	MCP server exposing symbolic evaluation and guarded tensor/linalg computation to agents
telemetry	Shared event schema and sink registry — a stable stream any UI can consume

On the WASM SIMD benchmark

tensor-wasm has a benchmark asserting SIMD kernels beat scalar ones. It is deliberately not chained into npm test.

The reason is measurement, not correctness: the same commit measured a 1.12× gain on one runner and 1.01× with zero variance on another. Any threshold low enough to pass the slower machine would also pass a real regression to parity, which makes the assertion worthless as a gate. It runs via npm run test:bench where a human reads the number.

Not on npm

johnhenry-math-plus-interop publishes to PyPI, not npm, as the Python interop bridge (module math_plus_interop).