GSoC Projects Announced

We're thrilled to share that stdlib has been selected for Google Summer of Code, and we've been granted four slots this year! As a first-time GSoC organization, this is a significant milestone for us, and we couldn't be more grateful for this opportunity.

GSoC Projects Announced
Photo by Lauren Mancke / Unsplash

stdlib is a fundamental numerical library for JavaScript. Our goal is to create a scientific computing ecosystem for JavaScript and TypeScript akin to NumPy and SciPy for Python, with a special focus on the unique features and constraints of the web.

The following four projects, which will all be instrumental in achieving our vision, were selected for this year's Google Summer of Code program:

Add BLAS bindings and implementations for linear algebra
Contributor: Aman Bhansali
Mentors: Athan Reines, Gagandeep Singh

Aman will work on BLAS routines and their C, Fortran, and JavaScript implementations for linear algebra. His efforts will include the creation of Node.js bindings to hardware-optimized BLAS implementations. This work is key in making Node.js a viable option for data intensive computation.

Develop C implementations for base special mathematical functions
Contributor: Gunj Joshi
Mentors: Philipp Burckhardt, Ricky Reusser

Gunj's project focuses on developing C implementations for special mathematical functions in stdlib, enhancing performance, and enabling seamless integration of JavaScript and C implementations. This work will provide a critical component for stdlib's "ufuncs" (universal functions), which enable efficient element-wise computation on stdlib's n-dimensional arrays.

Add support for Boolean arrays in stdlib
Contributor: Jaysukh Makvana
Mentors: Pranav Goswami, Athan Reines

Jaysukh will integrate support for boolean arrays in stdlib, enhancing functionality and expanding integration opportunities throughout various namespaces and APIs. This work will be especially important for enabling boolean array indexing in stdlib's fancy arrays!

A better Node.js REPL for Numerical and Scientific Computing
Contributor: Snehil Shah
Mentors: Stephannie Jiménez Gacha, Philipp Burckhardt

Snehil aims to build a better Node.js REPL tailored for scientific computing and data analysis using stdlib. With features like fuzzy auto-completion and syntax highlighting, the enhanced REPL will provide an interactive environment for data exploration.

Needless to say, this summer is shaping up to be a busy one for stdlib, and we're super excited to work with an absolutely stellar group of GSoC contributors to further our mission of pushing the web forward.

We hope that you'll join us in our mission to advance cutting-edge scientific computation in JavaScript. You can start showing your support by starring the project on GitHub today:

stdlib is an open source software project dedicated to providing a comprehensive suite of robust, high-performance libraries to accelerate your project's development and give you peace of mind knowing that you're depending on expertly crafted, high-quality software.

If you've enjoyed this post, give us a star 🌟 on GitHub and please consider financially supporting the project. Your contributions and continued support help ensure the project's long-term success and are greatly appreciated!