stdlib is a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing applications. The library provides a collection of robust, high performance libraries for mathematics, statistics, data processing, streams, and more and includes many of the utilities you would expect from a standard library.
This is the GitHub repository of stdlib source code and documentation. For help developing stdlib, see the development guide.
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150+ special math functions.
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35+ probability distributions, with support for evaluating probability density functions (PDFs), cumulative distribution functions (CDFs), quantiles, moments, and more.
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35+ seedable pseudorandom number generators (PRNGs).
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160+ general utilities for data transformation, functional programming, and asynchronous control flow.
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170+ assertion utilities for data validation and feature detection.
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50+ sample datasets for testing and development.
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A plot API for data visualization and exploratory data analysis.
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Native add-ons for interfacing with BLAS libraries, with pure JavaScript fallbacks.
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A benchmark framework supporting TAP.
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REPL environment with integrated help and examples.
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Can be bundled using Browserify, Webpack, and other bundlers for use in web browsers.
Running stdlib requires the following prerequisites:
- Node.js: JavaScript runtime (version
>= 0.10) - npm: package manager (version
> 2.7.0; if Node< 1.0.0, version> 2.7.0and< 4.0.0)
Most functionality in stdlib is implemented exclusively in JavaScript; however, some implementations try to capture performance benefits by using native bindings and/or WebAssembly. While not required to run stdlib, as every stdlib implementation has a JavaScript fallback, the following dependencies are required for building native add-ons, including linking to BLAS and LAPACK libraries:
- GNU make: development utility and task runner
- GNU bash: an sh-compatible shell
- gcc & g++ or Clang: C/C++ compilation and linking (g++ version
>= 4.8; clang version>= 3.5, Xcode version>=8.3.1on OS X) - gfortran: Fortran compilation and linking (version
>= 4.8)
While not required to run stdlib, the following dependencies are required for automatically downloading external libraries:
The following external libraries can be automatically downloaded and compiled from source using make:
To install as a library or application dependency,
$ npm install @stdlib/stdlibFor distributable bundles for use in browser environments, see the dist directory and associated guide.
Otherwise, to install as a system library, follow the download, configuration, and installation instructions as described in the development guide.
See the contributing guidelines.
See LICENSE.
Copyright © 2016-2018. The Stdlib Authors.
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