TensorFlow.js Alternatives & Competitors

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.

Key TensorFlow features:

Comprehensive Ecosystem Community and Support Flexibility Integrations

Open Source

Open source deep learning platform that provides a seamless path from research prototyping to...

Key PyTorch features:

Dynamic Computation Graph Pythonic Nature Strong Community Support Flexibility and Control

Open Source

Global Proxy Network: 90M+ Residential & Static IPs for Any Task.

Key MangoProxy features:

High-Speed Performance Easy Integration Global Coverage Robust Security Features

Visit website paid $0.6 (per 1GB)

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Key Scikit-learn features:

Ease of Use Extensive Documentation and Community Support Integration with Other Libraries Variety of Algorithms

Open Source

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Key Keras features:

User-Friendly Modularity Pre-trained Models Integration with TensorFlow

Open Source

Select Target Platform Click on the green buttons that describe your target platform.

Key CUDA Toolkit features:

Performance Support for Parallel Programming Rich Development Ecosystem Comprehensive Libraries

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.

Key Kubeflow features:

Scalability Portability End-to-End Pipeline Management Open Source Community

MLKit is a simple machine learning framework written in Swift.

Key MLKit features:

Feature-Rich Ease of Integration Regular Updates Open-Source

Open Source

A 1/18th scale race car to learn machine learning 🚗.

Key AWS DeepRacer features:

Hands-on Learning Community and Competition AWS Integration Skill Development

Feathr is a marketing platform designed just for event organizers.

Key Feathr features:

Targeted Campaigns Integration Capabilities Analytics and Reporting Ease of Use

A Library for Private, Secure Deep Learning.

sktime companion package for deep learning based on TensorFlow - sktime/sktime-dl.

Key sktime features:

Time Series Specific Unified Interface Extensible Framework Integration with Existing Tools

The light PyTorch wrapper for high-performance AI research.

Open Source

Multi-sensor labeling platform for robotics and autonomous driving.

Key Segments.ai features:

Image Segmentation Image Vector Labeling Point Cloud Segmentation Point Cloud Vector Labeling

freemium €800 / Monthly (Includes 3,600 hours/yr of labeling usage)