harthur/brain
Simple feed-forward neural network in JavaScript observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 5959
- days_rel: n/a
- days_push: 2190
- n_releases_24m: 0
Adoption not part of the score
7988 stars · 844 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A simple feed-forward neural network library written in JavaScript, usable in Node.js and the browser. It supports training on input/output patterns and running predictions, and is officially end-of-life in favor of brain.js and convnetjs.
Use cases
- train a simple feedforward neural network in javascript
- approximate functions like xor with a neural net
- classify inputs like color contrast in the browser
- run a pretrained network with toJSON or toFunction
- learn how neural networks work in javascript
When to choose
- you need a tiny, dependency-free neural network for simple patterns
- you are maintaining legacy code that already uses brain
- you want a minimal educational example of neural network training
When to avoid
- you need an actively maintained library - use brain.js or convnetjs instead
- you need deep learning features like convolutions, recurrent networks, or GPU acceleration
- you need production-grade performance or modern tooling
Facets
library · maturity abandoned
machine-learning deep-learning machine-learning artificial-intelligence developer-tools browser neural-network feedforward javascript deprecated superseded-by-brainjs nodejs
1 source
- readme: https://github.com/harthur/brain · fetched 2026-08-28 · e3b7bd7bd8fc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| harthur/brain | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem