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Keras vs scalene

A side-by-side comparison of pricing, ratings, features, pros and cons.

Keras
KerasGoogle (Keras team)Open Source
DescriptionOpen-source deep learning API for building neural networks that run on JAX, TensorFlow, or PyTorch backends.Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Category
DeveloperGoogle (Keras team)
Verified StatusNoNo
Last UpdatedAug 2026Aug 2026
Pricing ModelOpen SourceFree
Free PlanYesYes
Free TrialNo
Open SourceYesNo
API AccessNo
Features
Multi-backend support: JAX, TensorFlow, PyTorch
Functional, Subclassing, and Sequential model APIs
KerasHub library of pre-trained models (Gemma, Llama, Stable Diffusion)
Simple model.fit() training and evaluation workflow
Used in production by Google, Waymo, NASA, Netflix, and more
Completely free and open source
Tags
deep-learningopen-sourceneural-networksmachine-learning-frameworkpython-library
scalenehighperformanceprecisionmemoryprofiler
Review Count00
Saves00
Views439
Quality Score32/10062/100
Website StatusOnlineOnline
Websitekeras.iogithub.com
Social Links1 linked2 linked
ScreenshotsNoNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose Keras if:

  • Free to use

Choose scalene if:

  • Free to use

Frequently Asked Questions

Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.

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