TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript.
Some of the top features or benefits of TensorFlow.js are: Cross-Platform Compatibility, Interactive Visualization, Real-time Execution, No Installation Required, and JavaScript Ecosystem Integration. You can visit the info page to learn more.
Best TensorFlow.js Alternatives & Competitors in 2025
The best TensorFlow.js alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
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Open source deep learning platform that provides a seamless path from research prototyping to...
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All-in-one work management platform for team collaboration.
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Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Select Target Platform Click on the green buttons that describe your target platform.
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Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated
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MLKit is a simple machine learning framework written in Swift.
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OpenCV is the world's biggest computer vision library
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sktime companion package for deep learning based on TensorFlow - sktime/sktime-dl
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No-code artificial intelligence for all
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scikit-image is a collection of algorithms for image processing.
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A PHP Framework For Web Artisans
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Multi-sensor labeling platform for robotics and autonomous driving
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