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Hedgehog-Computing/hedgehog-lab

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation. observed · 2026-08-28

github.com/Hedgehog-Computing/hedgehog-lab · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2303
  • days_rel: n/a
  • days_push: 853
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2391 stars · 137 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Hedgehog Lab is an open-source scientific computing environment that runs entirely in the browser, offering JavaScript-based matrix operations with GPU acceleration, symbolic computation, TeX rendering, and data visualization. It is a web application (hosted at hlab.app) built in TypeScript using WebGL/WebGL2.

Use cases

  • run scientific computing code in the browser without installing anything
  • do matrix operations with GPU acceleration in JavaScript
  • visualize data with charts in a browser notebook
  • perform symbolic computation and computer algebra online
  • render LaTeX/TeX math alongside executable code
  • prototype machine learning experiments in JavaScript

When to choose

  • you want a zero-install, browser-based scientific computing playground
  • you need GPU-accelerated matrix math in JavaScript
  • you want to combine code, math notation (TeX), and visualizations in one tool

When to avoid

  • you need production-grade numerical computing with mature ecosystems like NumPy or MATLAB
  • you require offline desktop execution or heavy large-scale datasets
  • you need a stable API or library to embed in your own applications

Facets

application · maturity active

data-visualization machine-learning math interpreter charts data-science web-development data-visualization mathematics browser scientific-computing computer-algebra gpu-acceleration webgl matrix-library tex latex symbolic-computation notebook in-browser web-server typescript javascript

1 source

Member repositories

RepositoryRoleHealth v2
Hedgehog-Computing/hedgehog-labmain23

For agents

markdown · JSON · MCP: product_card(name="Hedgehog-Computing/hedgehog-lab")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem