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Compare Keras and PyTorch 
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At a Glance
Market Segments
Small-Business (38.1% of reviews)
Small-Business (42.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Keras
Star Rating
(64)4.6 out of 5
Market Segments
Small-Business (38.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about KerasPyTorch
Star Rating
(22)4.5 out of 5
Market Segments
Small-Business (42.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about PyTorchSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Keras excels in ease of use, with a user-friendly interface that simplifies the process of building neural networks, while PyTorch, although powerful, has a steeper learning curve that may require more time to master.
- Reviewers mention that Keras offers robust documentation and support, making it easier for beginners to find resources and troubleshoot issues, whereas PyTorch's documentation, while comprehensive, can sometimes be less accessible for newcomers.
- G2 users highlight Keras's strong performance in model evaluation and integration with other machine learning frameworks, which allows for seamless transitions between different tools, while PyTorch is praised for its flexibility and dynamic computation graph, which is particularly beneficial for research and experimentation.
- Users on G2 report that Keras provides excellent deep learning capabilities with built-in support for various neural network architectures, while PyTorch shines in advanced features like real-time processing and automated model tuning, appealing to users who require cutting-edge functionalities.
- Reviewers say that Keras's data preprocessing tools are intuitive and efficient, making it easier to prepare datasets for training, while PyTorch users mention that its data handling capabilities, particularly with custom datasets, offer greater flexibility for complex projects.
- Users say that Keras's model optimization features are straightforward and effective for most applications, while PyTorch is noted for its scalability, allowing users to handle larger datasets and more complex models without significant performance degradation.
Pricing
Entry-Level Pricing
Keras
No pricing availablePyTorch
No pricing availableFree Trial
Keras
No trial information availablePyTorch
No trial information availableRatings
Meets Requirements
8.9
50
9.2
17
Ease of Use
8.9
50
8.6
18
Ease of Setup
8.8
24
Not enough data
Ease of Admin
7.8
20
Not enough data
Quality of Support
7.8
41
7.9
17
Has the product been a good partner in doing business?
8.2
17
Not enough data
Product Direction (% positive)
9.3
48
10.0
17
Features by Category
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reviews
Reviewers' Company Size
Keras
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
PyTorch
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
20.6%
Information Technology and Services
17.5%
Research
14.3%
Telecommunications
7.9%
Information Services
4.8%
Other
34.9%
Computer Software
28.6%
Research
14.3%
Telecommunications
9.5%
Information Technology and Services
9.5%
Automotive
9.5%
Other
28.6%
Alternatives
Discussions
Keras has no discussions with answers
Do you use Pytorch for? (e.g. NLP, computer vision, reinforcement learning, etc)
1 Comment
IB
All of the paradigms for DeepLearning are supported for development by PyTorch Read more
What can you do with PyTorch?
1 Comment
AG
PyTorch is mostly used to train large ML/DL models.Read more
PyTorch has no more discussions with answers
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