tensorflow/tfjs
A WebGL accelerated JavaScript library for training and deploying ML models.
Supports both browser and Node.js execution through pluggable backends (WebGL, WebAssembly, WebGPU, and native TensorFlow C++), enabling client-side inference and retraining with sensor data. Provides layered APIs from low-level linear algebra operations to high-level Keras-compatible layers, plus tools to import pre-trained TensorFlow and Keras models. Includes specialized packages for data processing, visualization, and AutoML model loading, with individual module imports available to minimize bundle size.
19,114 stars and 1,313,493 monthly downloads. Used by 13 other packages. Available on npm.
Stars
19,114
Forks
2,022
Language
TypeScript
License
Apache-2.0
Category
Last pushed
Feb 06, 2026
Monthly downloads
1,313,493
Commits (30d)
0
Dependencies
11
Reverse dependents
13
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tensorflow/tfjs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
microsoft/DMTK
Microsoft Distributed Machine Learning Toolkit
nnstreamer/api
Machine Learning API (Origin: C++: SNAP, C/C#: Tizen API, Java: Samsung-Research ML API). For...
tensorflow/tfjs-core
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
R-js/blasjs
Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software...
RedisAI/redisai-js
A high-performance JavaScript client for RedisAI