# erelsgl/limdu

Machine-learning for Node.js

Repository: https://github.com/erelsgl/limdu
Canonical: https://ross.abutalabs.com/products/limdu
Language: JavaScript
License: LGPL-3.0
License Family: copyleft
Last push: 2026-04-10T02:37:12+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 76, release rhythm 8, longevity 100
- inputs: {"age_days": 4830, "days_push": 146, "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 1048, forks 99 (observed 2026-08-28T04:03:22.445524+00:00)

## What it is
Limdu is a machine-learning framework for Node.js supporting binary, multi-class, and multi-label classification with online and batch learning. It includes feature engineering, cross-validation, and serialization, making it suited for natural language understanding in dialog systems and chatbots.

## Use cases
- classify text into multiple labels in nodejs
- online learning classifier for a chatbot
- train a naive bayes or perceptron text classifier
- cross-validate machine learning models in javascript
- build natural language understanding for dialog systems
- serialize and reload trained classifiers

## When to choose
- you need multi-label or online classification in pure JavaScript on Node.js
- you want lightweight classifiers without native dependencies
- you are building a chatbot or dialog system with text classification

## When to avoid
- you need deep learning or GPU acceleration
- you need a mature, well-tested production ML library
- you work outside the Node.js ecosystem

## Facets
- artifact type: library
- maturity: experimental
- function: machine-learning, nlp, serialization
- domain: machine-learning, chatbots
- platform: -
- tags: multi-label-classification, online-learning, text-classification, classifiers, cross-validation, natural-language-processing, nodejs, javascript

## Member repositories
- erelsgl/limdu (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:22.445524+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 2026-08-30T07:00:42.607577+00:00, confidence not recorded.
  - readme: https://github.com/erelsgl/limdu (fetched 2026-08-28T04:03:22.445524+00:00, sha 657beea33a5c)
  - registry_npm: https://registry.npmjs.org/limdu (fetched 2026-08-29T13:02:09.386487+00:00, sha ad781278fdfe)
- Data as of 2026-08-30T08:39:29.467469+00:00.