A simple, type-safe way to create multi-dimensional arrays
Javascript Matrix and Vector library for High Performance WebGL apps
Matrix Client-Server SDK for Javascript
WebAssembly bindings of the matrix-sdk-crypto encryption library
Matrix manipulation and computation library
Visualize relationships or network flow with an aesthetically-pleasing circular layout.
Welcome to the [Node.js] binding for the Rust [`matrix-sdk-crypto`] library! This binding is part of the [`matrix-rust-sdk`] project, which is a library implementation of a [Matrix] client-server.
SheetJS Spreadsheet data parser and writer
2d transformation matrix functions written in ES6 syntax. Tree shaking ready!
Canvas for Node.js with skia backend
matrix for scena
Search and Rewrite code at large scale using precise AST pattern
Filter that lets you change RGBA via a 5x4 matrix transformation
JSON grammar for tree-sitter
YAML grammar for tree-sitter
Matrix Widget API SDK
Python grammar for tree-sitter
React bindings for MobX. Create fully reactive components.
DASH/EME video player library
Chart.js module for creating matrix charts
Bash grammar for tree-sitter
JavaScript grammar for tree-sitter
Streaming http in the browser
oidc-token-hash validates (and generates) ID Token `_hash` claims such as `at_hash` or `c_hash`
StairCar is a fully featured matrix library for jruby (think matlab or numpy)
RMatrix is a lightning fast library for Ruby. It provides numerous enhancements over the Matrix class in the standard library. Features include the ability to calculate Matrix inverse, transpose, determinant, minor, adjoint, cofactor_matrix, hadamard product and other elementwise operations, slicing, masking and more. RMatrix makes use of backing instances of NArray to allow for great performance.
A thread-safe two dimensional sparse matrix data structure with C, Java and Ruby bindings. It was created to make loading and accessing medium sized (10GB+) matrices in boxed languages like Java/Scala or Ruby easier.
A thread-safe two dimensional sparse matrix data structure with C, Java and Ruby bindings. It was created to make loading and accessing medium sized (10GB+) matrices in boxed languages like Java/Scala or Ruby easier.
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