The fundamental numerical library for JavaScript

Technologies
c, javascript, node.js, typescript, webassembly
Topics
mathematics, web, scientific computing, numerical computing, statistics
The fundamental numerical library for JavaScript
stdlib is a standard library for JavaScript and Node.js with an emphasis on numerical and scientific computing applications. The project aims to provide functionality similar to NumPy and SciPy for use in JavaScript environments with special consideration for the unique constraints and opportunities afforded by the Web. stdlib is primarily written in JavaScript, C, and Fortran.

Projects

Contributor
Aman Bhansali
Mentor
czgdp1807, Athan Reines
Organization
stdlib
Add BLAS bindings and implementations for linear algebra
The goal of this proposal is to add BLAS (Basic Linear Algebra Subprograms) routines and their C, Fortran, and Js implementations for linear algebra....
Contributor
Gunj Joshi
Mentor
Philipp Burckhardt, rreusser
Organization
stdlib
Develop C implementations for base special mathematical functions
This project aims at developing C implementations for base special mathematical functions in stdlib, which are currently implemented in JavaScript....
Contributor
Jaysukh Makvana
Mentor
Athan Reines, Pranav Goswami
Organization
stdlib
Add support for Boolean arrays in Stdlib
Referring the implementation of how complex64 arrays are implemented, I proposed adding support for boolean arrays in stdlib. Unlike complex64 array,...
Contributor
Snehil Shah
Mentor
Philipp Burckhardt, Stephannie
Organization
stdlib
A better Node.js REPL for Numerical and Scientific Computing
The read-eval-print loop (REPL) is a fixture of data analysis and numerical computing and provides a critical entry-point for individuals seeking to...