Pytorch vs. TensorFlow

Pytorch

15 Reviews and Ratings

TensorFlow

55 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Pytorch	Score9.4 out of 10	N/A	Pytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.	N/A
TensorFlow	Score8.2 out of 10	N/A	TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.	N/A

Pricing

Pytorch

TensorFlow

No answers on this topic

No answers on this topic

Pricing Offerings
Pytorch	TensorFlow
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

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Community Pulse
Key User Insights
	Pytorch	TensorFlow
Considered Both Products	Open Source Pierre Tassel Data Scientist Engineer/Researcher in Research & Development at Prewave (Information Services, 51-200 employees) Chose Pytorch TensorFlow without Keras is not a pleasant experience; when using Keras, it is pretty nice, but it feels more opinionated than PyTorch; one is less free, which is not an issue in industrial settings with classic workflow but can be an issue in research settings. JAX is great … Incentivized Helpful? Verified User Chose Pytorch Pytorch is very, very simple compared to TensorFlow. Simple to install, less dependency issues, and very small learning curve. TensorFlow is very much optimised for robust deployment but very complicated to train simple models and play around with the loss functions. It needs a … Incentivized Helpful? Verified User Chose Pytorch As I described in previous statements, Pytorch is much better suited than TensorFlow from a software development look. This Pythonic idea was then taken and repeated by all the other frameworks. You can get to better performance models by better understanding the deep learning … Incentivized Helpful? Verified User Chose Pytorch The syntax of PyTorch is much better in my opinion, and the programming style is more pythonic and easier to use. I also think PyTorch is a lot easier to debug than the competitors I've listed (Caffe2 and TensorFlow). I do like some of the examples given on tensorflows website, … Incentivized Helpful? Verified User Chose Pytorch Saving and loading Machine/Deep Learning models is very easy with Pytorch. It provides visualization capabilities when combined with Tensorboard, and mathematical operations are highly optimized. Easy to understand for a person who is an expert in Python. It takes significantly … Incentivized Helpful?	Open Source Pierre Tassel Phd, Researcher at Universität Klagenfurt (Research, 5001-10,000 employees) Chose TensorFlow I prefer Pytorch overall, recent models are often only available with Pytorch Pytorch is also easier to use and it is often easier to find support for Pytorch code nowadays than TensorFlow Also it seems like lots of Google internal resource uses JAX. I mostly uses TensorFlow to … Incentivized Helpful? Verified User Chose TensorFlow TensorFlow has better support for Java compared to Pytorch and is also very well documented. Incentivized Helpful?
	Would buy again
	No answers on this topic	No answers on this topic
	Delivers good value for the price
	No answers on this topic	No answers on this topic
	Happy with the feature set
	No answers on this topic	No answers on this topic
	Lived up to sales and marketing promises
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	Implementation went as expected
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User Ratings
	Pytorch	TensorFlow
Likelihood to Recommend	9.0 (6 ratings)	6.0 (15 ratings)
Usability	10.0 (1 ratings)	9.0 (1 ratings)
Support Rating	- (0 ratings)	9.1 (2 ratings)
Implementation Rating	- (0 ratings)	8.0 (1 ratings)