What is TensorFlow.js?

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
TensorFlow.js is a tool in the Machine Learning Tools category of a tech stack.
TensorFlow.js is an open source tool with 11.1K GitHub stars and 799 GitHub forks. Here’s a link to TensorFlow.js's open source repository on GitHub

Who uses TensorFlow.js?

Companies
5 companies use TensorFlow.js in their tech stacks, including 8villages, ADEXT, and Taralite.

Developers

TensorFlow.js Integrations

Why developers like TensorFlow.js?

Here’s a list of reasons why companies and developers use TensorFlow.js
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TensorFlow.js Alternatives & Comparisons

What are some alternatives to TensorFlow.js?
TensorFlow.js
Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
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