Pytorch VS tensorflow

Compare Pytorch vs tensorflow and see what are their differences.

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Pytorch tensorflow
381 233
86,719 187,784
1.5% 0.4%
10.0 10.0
1 day ago 6 days ago
Python C++
BSD 3-clause "New" or "Revised" License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Pytorch

Posts with mentions or reviews of Pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-02-05.

tensorflow

Posts with mentions or reviews of tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-28.

What are some alternatives?

When comparing Pytorch and tensorflow you can also consider the following projects:

mediapipe - Cross-platform, customizable ML solutions for live and streaming media.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

scikit-learn - scikit-learn: machine learning in Python

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

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Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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