# alibaba/pipcook

Machine learning platform for Web developers

Repository: https://github.com/alibaba/pipcook
Canonical: https://ross.abutalabs.com/products/pipcook
Homepage: https://alibaba.github.io/pipcook/
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: js, machine-learning, tensorflow, pipeline
Last push: 2026-08-26T00:16:20+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 2463, "days_push": 8, "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 2594, forks 210 (observed 2026-08-28T04:07:03.051493+00:00)

## What it is
Pipcook is a JavaScript application framework for machine learning and its engineering, aimed at enabling JavaScript and front-end engineers to use ML without prior experience. It provides a pipeline framework, management tools, and a JavaScript runtime for machine learning.

## Use cases
- train machine learning models from JavaScript
- build ML pipelines for web developers
- add image classification to a front-end app
- run TensorFlow models in Node.js
- learn machine learning as a JavaScript engineer
- automate ML workflows in TypeScript

## When to choose
- you are a JavaScript/TypeScript developer wanting to do machine learning
- you want pipeline-based ML workflows in Node.js
- you want to integrate ML into front-end projects

## When to avoid
- you need a Python-native ML ecosystem with the latest models
- you need large-scale distributed training
- you need production-grade deep learning tooling beyond front-end use cases

## Facets
- artifact type: framework
- maturity: maintenance
- function: machine-learning, llm-training, workflow-automation, sdk
- domain: machine-learning, web-development, frontend, deep-learning
- platform: cross-platform
- tags: javascript, tensorflow, pipeline, frontend-ml, typescript, nodejs, docker

## Member repositories
- alibaba/pipcook (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:03.051493+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 2026-08-30T02:22:15.702032+00:00, confidence not recorded.
  - readme: https://github.com/alibaba/pipcook (fetched 2026-08-28T04:07:03.051493+00:00, sha 0faf26b8040a)
  - homepage: https://alibaba.github.io/pipcook/ (fetched 2026-08-29T10:04:37.430024+00:00, sha ff7ddd39dc31)
- Data as of 2026-08-30T08:39:29.467469+00:00.