nowfound

AI · alternatives · 2026

24 alternatives to PyTorch

Tensors and dynamic neural networks in Python

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. PyTorch launched in 2017; newer entries below may have overtaken it.

  1. 1

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

  2. 2

    Blazing-fast in-browser neural networks

    2017 · tenso.rs · its alternatives →

  3. 3

    Core concepts behind neural networks and deep learning

    2015 · neuralnetworksanddeeplearning.com · its alternatives →

  4. 4
    Sonnet▲134

    A new library for constructing neural networks from DeepMind

    2017 · deepmind.google · its alternatives →

  5. 5

    A Neural Network Playground

    2016 · playground.tensorflow.org · its alternatives →

  6. 6

    An Open Source Library for Machine Intelligence (by Google)

    2015 · tensorflow.org · its alternatives →

  7. 7IT
  8. 8

    A Visual Introduction For Beginners

    2017 · amazon.com · its alternatives →

  9. 9

    The textbook for modern machine learning

    2016 · amazon.com · its alternatives →

  10. 10

    A visual guide for beginners

    2017 · amazon.com · its alternatives →

  11. 11

    Guest: Nando de Freitas (Oxford, Google DeepMind)

    2015 · thetalkingmachines.com · its alternatives →

  12. 12AL

    Spektral: Graph Neural Networks in TensorFlow 2 and Keras

    2019 · danielegrattarola.github.io · its alternatives →

  13. 13

    GitHub for TensorFlow machine learning models

    2018 · tensorflow.org · its alternatives →

  14. 14

    Featuring Ilya Sutskever, director of research for OpenAI

    2016 · thetalkingmachines.com · its alternatives →

  15. 15
  16. 16

    An In-depth Visual Introduction For Beginners

    2017 · amazon.com · its alternatives →

  17. 17

    Visualizing level surfaces of a neural network

    2017 · arogozhnikov.github.io · its alternatives →

  18. 18

    I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…

    2025 · github.com · its alternatives →

  19. 19AD
  20. 20

    A general-purpose encoder-decoder framework for Tensorflow

    2017 · google.github.io · its alternatives →

  21. 21

    Google's open source machine learning platform

    2015 · blog.research.google · its alternatives →

  22. 22
  23. 23

    Machine learning with instantaneous, visual feedback

    2017 · its alternatives →

  24. 24TA

Also compare

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →