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In GSoC 2026

stdlib

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.

Contributors in 2026

5

Same as 2025

Projects since 2016

14

4.7 a cycle on average

Cycles

3 of 11

3-cycle streak

Rank in 2026

#60

of 183, 0.4% of slots

Mentors

7

for 5 projects in 2025

Contributors per cycle

Accepted projects each year, against the median organization that year

  1. 5
  2. 5
View as table
stdlib contributors per cycle
stdlibMedian organization
201604
201704
201803
201904
202004
202104
202203
202304
202444
202555
202654

Quick answers

Is stdlib in GSoC 2026?
Yes, with 5 contributors.
How long has it taken part?
3 of 11 cycles since 2016, first in 2024, with a 3-cycle streak running.
How many contributors does it usually take?
4.7 a cycle on average, 14 in total. Its largest cycle was 2025, with 5.
What does it build with?
C, JavaScript, Node.js, TypeScript, WebAssembly.

Accepted projects

5 projects in 2026 · All 14 projects since 2016

  1. Extending Level 2 and Level 3 BLAS routines for linear algebra

    Kaustubh Patange

    This project aims to resolve Issue add blas bindings and implementations for linear algebra by systematically adding the missing Level 1, 2, and 3...

  2. Add batch machine learning algorithms in Javascript and C

    Nakul Krishnakumar

    This project aims to implement machine learning algorithms in JavaScript and C within stdlib, laying the foundation for a broader ecosystem of...

  3. Add support for Low-Level Singular Value Decomposition via LAPACK

    Prajjwal Bajpai

    This project adds LAPACK bindings and JavaScript implementations for singular value decomposition in stdlib, with the main focus on the dgesvd...

  4. Add support for solving systems of linear equations with LAPACK

    Pratik Bhagwat

    This proposal aims to strengthen stdlib’s linear algebra capabilities by implementing LAPACK-based solve routines for structured matrix formats such...

  5. Expanding the Vega engine to support the analysis of multidimensional data

    Sachin Pangal

    This project aims to extend the plot module by implementing the missing building blocks needed for end-to-end chart creation. The work will focus on...

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Data: Google Summer of Code public archive. Contributor counts are accepted projects.