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Kagan vs Keras

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

Keras
KerasGoogle (Keras team)Open Source
DescriptionAI-powered Kanban TUI for autonomous development workflows. Integrates with Claude Code and OpenCode for ticket-driven AI coding with git worktree isolation and MCP server support.Open-source deep learning API for building neural networks that run on JAX, TensorFlow, or PyTorch backends.
Category
DeveloperGoogle (Keras team)
Verified StatusNoNo
Last UpdatedAug 2026Aug 2026
Pricing ModelFreeOpen Source
Free PlanYesYes
Free TrialNo
Open SourceNoYes
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
kaganpoweredkanbanautonomousdevelopmentworkflows
deep-learningopen-sourceneural-networksmachine-learning-frameworkpython-library
Review Count00
Saves00
Views394
Quality Score62/10032/100
Website StatusOnlineOnline
Websitegithub.comkeras.io
Social Links1 linked1 linked
ScreenshotsNoNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose Kagan if:

  • Free to use

Choose Keras 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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