# karpathy/convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Repository: https://github.com/karpathy/convnetjs
Canonical: https://ross.abutalabs.com/products/convnetjs
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2023-01-07T21:33:23+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4624, "days_push": 1334, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 11197, forks 2071 (observed 2026-08-28T04:10:46.387335+00:00)

## What it is
ConvNetJS is a JavaScript library for defining and training neural networks, including convolutional networks and an experimental Deep Q Learning module, entirely in the browser. It ships with interactive demos for classification, regression, autoencoders, and reinforcement learning.

## Use cases
- train a neural network in the browser without a server
- learn how convolutional neural networks work interactively
- run MNIST or CIFAR-10 training demos client-side
- experiment with deep Q learning reinforcement learning in JavaScript
- teach deep learning concepts with visual 2D classification demos
- build a small neural network demo for a web page

## When to choose
- you want client-side neural network training with no backend
- you need educational, visualizable deep learning demos
- you want a lightweight dependency-free JS neural net implementation

## When to avoid
- you need production-grade performance or GPU acceleration
- you need actively maintained software or working npm installs
- you need modern architectures like transformers or large-scale training

## Facets
- artifact type: library
- maturity: abandoned
- function: deep-learning, machine-learning, reinforcement-learning
- domain: deep-learning, machine-learning, browser-extensions
- platform: browser
- tags: neural-networks, convolutional-networks, javascript, education, demos, no-longer-maintained, nodejs

## Member repositories
- karpathy/convnetjs (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:46.387335+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:16:28.185134+00:00, confidence not recorded.
  - readme: https://github.com/karpathy/convnetjs (fetched 2026-08-28T04:10:46.387335+00:00, sha 43151764d6a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.