Best PySyft Alternatives & Competitors in 2025

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

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Key CUDA Toolkit features:

Performance Support for Parallel Programming Rich Development Ecosystem Comprehensive Libraries

Clear, Fast & Unlimited. Residential & Mobile Proxies For Best Price.

Key ASocks features:

HTTP Socks5 ASN targeting Pay as you go

Try for free paid Free Trial $3.0 (3$ per 1 Gb)

TensorFlow.js is a library for machine learning in JavaScript.

Key TensorFlow.js features:

Cross-Platform Compatibility Interactive Visualization Real-time Execution No Installation Required

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

Key Kubeflow features:

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

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

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

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

Key Dataiku features:

User-Friendly Interface Collaborative Environment End-to-End Workflow Integrations and Extensibility

Developer tools for deep learning research.

Key Weights & Biases features:

Experiment Tracking Collaboration Features Integration Capability Hyperparameter Tuning

All AI Tools, One Location.

Key Krater.ai features:

Comprehensive Toolset User-Friendly Interface Regular Updates Competitive Pricing

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - tensorflow/tensor2tensor.

No-code artificial intelligence for all.

Key Neuton.AI features:

User-Friendly Interface Automated Machine Learning Fast Model Training Low-Code Environment

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

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Key TFlearn features:

User-Friendly Interface Modular Design Integration with TensorFlow Pre-built Models

Open Source