# tensorflow/tfjs-core

WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.

Repository: https://github.com/tensorflow/tfjs-core
Canonical: https://ross.abutalabs.com/products/tfjs-core
Homepage: https://js.tensorflow.org
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: deep-learning, typescript, webgl, javascript, machine-learning, neural-network, deep-neural-networks, gpu-acceleration
Archived: true
Last push: 2019-08-14T01:44:14+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3318, "days_push": 2577, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8432, forks 929 (observed 2026-08-28T04:10:21.173250+00:00)

## What it is
tfjs-core was the core WebGL-accelerated tensor computation library behind TensorFlow.js, providing linear algebra operations and automatic differentiation in JavaScript. The repository has been archived and merged into the tensorflow/tfjs monorepo, where development continues under the tfjs-core folder.

## Use cases
- run machine learning models in the browser
- gpu-accelerated linear algebra in javascript
- train neural networks with tensorflow.js
- automatic differentiation for javascript
- run converted python tensorflow models in node.js
- build web apps with on-device ML inference

## When to choose
- you want WebGL-accelerated tensor math or neural networks in JavaScript
- you need to run or retrain ML models in the browser or Node.js
- you want automatic differentiation without leaving the JS ecosystem

## When to avoid
- you are starting a new project - use the tensorflow/tfjs monorepo instead since this repo is archived
- you need server-side GPU training at scale - use Python TensorFlow or PyTorch
- you need the latest features or bug fixes - this repo no longer accepts PRs

## Facets
- artifact type: library
- maturity: abandoned
- function: machine-learning, deep-learning, gpu-computing, math
- domain: machine-learning, deep-learning, web-development, frontend
- platform: browser, cross-platform
- tags: webgl, automatic-differentiation, tensor-computation, tensorflowjs, archived, typescript, nodejs, web-server

## Member repositories
- tensorflow/tfjs-core (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:21.173250+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 2026-08-29T17:27:15.335459+00:00, confidence not recorded.
  - readme: https://github.com/tensorflow/tfjs-core (fetched 2026-08-28T04:10:21.173250+00:00, sha baa856b154e7)
  - homepage: https://js.tensorflow.org (fetched 2026-08-29T08:27:33.467935+00:00, sha ff013fdcc87d)
  - site_page: https://www.tensorflow.org/install (fetched 2026-08-29T08:27:33.477120+00:00, sha 584a762da891)
  - site_page: https://www.tensorflow.org/tfx/api_docs (fetched 2026-08-29T08:27:33.480841+00:00, sha 6977825696fe)
  - site_page: https://www.tensorflow.org/about (fetched 2026-08-29T08:27:33.493219+00:00, sha 817250744d91)
  - site_page: https://www.tensorflow.org/about/case-studies (fetched 2026-08-29T08:27:33.495310+00:00, sha e6701029eec0)
  - site_page: https://www.tensorflow.org/about/bib (fetched 2026-08-29T08:27:33.497229+00:00, sha 5ca8943386b9)
  - site_page: https://www.tensorflow.org/community/contribute (fetched 2026-08-29T08:27:33.482615+00:00, sha 77d394fa76e7)
- Data as of 2026-08-30T08:39:29.467469+00:00.