Statistical routines and probability distributions.

Dense linear algebra for JavaScript and TypeScript

Get the average value in an array

A collection of probability distribution functions

Chi-squared distribution variance.

Hold what a running test suite is saying in a process an agent can ask, so a test in flight is something to look at rather than something to wait for.

Expose independently supplied observability evidence to an MCP client.

A TypeScript model of a Gaussian distribution

A react-native solution to check if your app runs under battery optimization on Android devices and makes it easy for the user to disable it.

The Variance Authority format, rules, comparison, attribution and verdicts. Pure data in, pure data out, no DOM and no I/O.

Pixel-tier contracts for Variance Authority: what a renderer and a store promise, and which policy a comparison ran under.

The prebuilt source scanner @variance-authority/sense loads on Linux x64 against glibc 2.17 or newer.

The address a process under test answers on, so what it reports reaches the run that started it and nothing is written down.

Compare render documents or rasters and receive one Variance Authority observation, whatever produced the images.

A TypeScript model of a Gaussian distribution

Generate TypeScript types and interfaces using JavaScript or TypeScript code

Read React provenance from rendered DOM nodes: owner chains, props digests and portals, without importing the app’s React.

The prebuilt source scanner @variance-authority/sense loads on macOS arm64.

Decode, compare and diff PNGs without a browser: two buffers in, a mask out.

Announce what the code decided, so a test waits for the decision instead of guessing when it was made.