Kerasvs
PyTorch
PyTorch: Deep learning framework with dynamic computational graphs and superior debugging capabilities, popular for research and rapid iteration.
Keras
Deep learning API for humans
As of 30 August 2026, Keras is free to use. Keras is a high-level deep learning API written in Python, running on top of TensorFlow. Softwr lists it under Machine Learning. Keras is made by Google, launched in 1998, available on API.
Overview
What Keras does
Keras is a high-level deep learning API written in Python, running on top of TensorFlow. It was developed with a focus on enabling fast experimentation and being user-friendly, modular, and extensible. Keras provides simple and consistent interfaces for creating neural networks with minimal code.
What people use it for
- Machine learning
- Data analysis
- Model training
- Predictive analytics
Related searches
The honest half
Where it falls short
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Keras.
- Limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
- Error messages can be vague and unhelpful, making debugging challenging
- Smaller ecosystem and fewer pre-trained models than TensorFlow or PyTorch
Cross-shopped
What people choose instead of Keras
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.
- KerasvsTensorFlow
TensorFlow: TensorFlow provides lower-level APIs for greater customization and production deployment, with Keras as its high-level API.
- Kerasvsscikit-learn
scikit-learn: Machine learning library optimized for classical ML tasks like classification, regression, and clustering with smaller datasets.
Pricing
What Keras costs
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Open Source
Free
- High-level API
- Pre-built layers
- Model serialization
Capabilities
Features
Sequential and Functional API
Pre-built neural network layers
Model training and evaluation
Transfer learning
Model serialization
TensorFlow
Integration with TensorFlow
JAX
Integration with JAX
PyTorch
Integration with PyTorch
Linux support
Available on linux
Mac support
Available on mac
Windows support
Available on windows
Answered, with sources
Questions people ask
Each answer names the page it came from, so you can check it rather than take our word for it.
What is Keras?
Keras is a high-level deep learning API built on top of TensorFlow that simplifies building and training neural networks. Keras 3 supports multiple backends including TensorFlow, PyTorch, and JAX, making it backend-agnostic.
SourceWhat model architectures does Keras support?
Keras supports the Sequential model for linear stacks of layers, the Functional API for arbitrary graph architectures, and model subclassing for custom implementations. All approaches provide access to layers, optimizers, metrics, and callbacks.
SourceCan Keras models run on TPUs and GPUs?
Yes, Keras models can run on TPU Pods or large GPU clusters, be exported to run in browsers or on mobile devices, and be served via web APIs.
SourceDoes Keras offer pre-trained models?
Yes, Keras provides pre-trained models through KerasHub and Keras Applications for common deep learning tasks like image classification, object detection, and NLP.
SourceWho should use Keras?
Keras is ideal for beginners and rapid prototyping due to its simplicity and user-friendly interface. Advanced users and production deployments may benefit more from lower-level frameworks like TensorFlow or PyTorch for greater customization.
SourceBehind it
Who makes Keras
- Company
- Based in
- Mountain View, California
Timeline
Keras over time
Keep looking
Where to go from Keras
- Keras alternativesEvery product people weigh against it
- Keras pricingPlans, floors and what the tiers exclude
- Keras badgesWhich rules it meets, and the figure behind each
- All Machine Learning softwareThe full category
- Best Machine Learning softwareThe shortlist, and how it was cut
Best Machine Learning software for
Compare Keras with
- PyTorch
- scikit-learn
- Python
- Anaconda
- AWS SageMaker
- Azure Machine Learning
- DataRobot
- Jupyter
- H2O.ai
- Dataiku
- Pinecone
- Groq
- Weka
- BentoML
- ClearML
- Cohere
- Dask
- Fal AI
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Softwr does not host reviews and shows no star rating for Keras, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
More on Keras
Keras alternatives
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Keras pricing
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