Home/Compare/autokeras vs keras-tuner

Comparison

autokeras vs keras-tuner

Verdict

Pick autokeras if autoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+; pick keras-tuner if kerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.

Markdown twin · autokeras alternatives · keras-tuner alternatives

GraphCanon updated 2w

autokeras logo

autokeras

keras-team/autokeras

9.3kpushed Nov 25, 2025
vs
keras-tuner logo

keras-tuner

keras-team/keras-tuner

2.9kpushed Dec 1, 2025

Trust & integrity

Signalautokeraskeras-tuner
Maintenance
Slowing (251d since push)
As of 3w · github_public_v1
Slowing (245d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

autokeras
AutoML library for deep learning
keras-tuner
A Hyperparameter Tuning Library for Keras

Stars

autokeras
9.3k
keras-tuner
2.9k

Forks

autokeras
1.4k
keras-tuner
404

Open issues

autokeras
161
keras-tuner
240

Language

autokeras
Python
keras-tuner
Python

Adopt for

autokeras
AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
keras-tuner
KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.

Persona

autokeras
-
keras-tuner
-

Runtime

autokeras
-
keras-tuner
-

License

autokeras
Apache-2.0
keras-tuner
Apache-2.0

Last pushed

autokeras
Nov 25, 2025
keras-tuner
Dec 1, 2025

Categories

autokeras
Developer Tools, Model Training
keras-tuner
Model Training

Trust and health

Days since push

autokeras
251d
keras-tuner
245d

Open issues (now)

autokeras
161
keras-tuner
240

Full report

autokeras
Trust report
keras-tuner
Trust report

Shared compatibility

  • Python · autokeras: Python runtime · keras-tuner: Python runtime

Choose autokeras if…

  • Tags unique to autokeras: autodl, neural-architecture-search.
  • Also covers Developer Tools.
  • When your project involves deep learning tasks requiring minimal manual intervention in designing models.

When NOT to use autokeras

  • When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible.
  • If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.

Choose keras-tuner if…

  • Tags unique to keras-tuner: hyperparameter-optimization.
  • - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.
  • More recently updated (last pushed Dec 1, 2025).

When NOT to use keras-tuner

  • - 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: autokeras 9.3k · keras-tuner 2.9k (synced Aug 4, 2026).

Common questions

What is the difference between autokeras and keras-tuner?
autokeras: AutoML library for deep learning. keras-tuner: A Hyperparameter Tuning Library for Keras. See the comparison table for live GitHub stats and shared categories.
When should I choose autokeras over keras-tuner?
Choose autokeras over keras-tuner when Tags unique to autokeras: autodl, neural-architecture-search; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When should I choose keras-tuner over autokeras?
Choose keras-tuner over autokeras when Tags unique to keras-tuner: hyperparameter-optimization; - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies; More recently updated (last pushed Dec 1, 2025).
When should I avoid autokeras?
When working with Python versions older than 3.7 or TensorFlow versions older than 2.8.0, as AutoKeras is not compatible. If your project emphasizes transparent, understandable model architecture over automated generation without human oversight.
When should I avoid keras-tuner?
- 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.
Is autokeras or keras-tuner more popular on GitHub?
autokeras has more GitHub stars (9,328 vs 2,923). Stars measure visibility, not whether either tool fits your constraints.
Are autokeras and keras-tuner open source?
Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, keras-tuner: Apache-2.0).
Where can I find alternatives to autokeras or keras-tuner?
GraphCanon lists graph-backed alternatives at autokeras alternatives and keras-tuner alternatives (autokeras markdown twin, keras-tuner markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, autokeras or keras-tuner?
autokeras: Slowing. keras-tuner: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for autokeras and keras-tuner?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; keras-tuner trust report.

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