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Decision brief
KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.
Good fit when
- - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.
- - When your team prefers a framework that tightly integrates with Keras, leveraging its built-in capabilities for better performance and ease of use.
Avoid when
- - Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies.
- - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (245d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install keras-tunerSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
KerasTuner is designed to work with Python and TensorFlow to perform hyperparameter optimization for machine-learning tasks.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 4, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 4, 2026)
KerasTuner requires **Python 3.8+** and **TensorFlow 2.0+**.Source link
Tags
README
Installation
KerasTuner requires Python 3.8+ and TensorFlow 2.0+.
Install the latest release:
pip install keras-tuner
You can also check out other versions in our GitHub repository.
For agents
This page has a .md twin and JSON over the API.