Home/Compare/autokeras vs katib

Comparison

autokeras vs katib

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 katib if katib is an automated machine learning solution for Kubernetes environments, focused on hyperparameter tuning and neural architecture search.

Markdown twin · autokeras alternatives · katib alternatives

GraphCanon updated 2w

autokeras logo

autokeras

keras-team/autokeras

9.3kpushed Nov 25, 2025
vs
katib logo

katib

kubeflow/katib

1.7kpushed Aug 4, 2026

Trust & integrity

Signalautokeraskatib
Maintenance
Slowing (251d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · 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
Published findings
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
katib
Automated Machine Learning on Kubernetes

Stars

autokeras
9.3k
katib
1.7k

Forks

autokeras
1.4k
katib
534

Open issues

autokeras
161
katib
106

Language

autokeras
Python
katib
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+.
katib
Katib is an automated machine learning solution for Kubernetes environments, focused on hyperparameter tuning and neural architecture search.

Persona

autokeras
-
katib
-

Runtime

autokeras
-
katib
-

License

autokeras
Apache-2.0
katib
Apache-2.0

Last pushed

autokeras
Nov 25, 2025
katib
Aug 4, 2026

Categories

autokeras
Developer Tools, Model Training
katib
Evaluation & Observability, Model Training

Trust and health

Maintenance

autokeras
Slowing (36%)
katib
Very active (96%)

Days since push

autokeras
251d
katib
0d

Open issues (now)

autokeras
161
katib
106

OSV dependency advisories

autokeras
No lockfile (source not queried)
katib
Published findings

Full report

autokeras
Trust report

Shared compatibility

  • Python · autokeras: Python runtime · katib: Python runtime

Choose autokeras if…

  • Tags unique to autokeras: autodl, deep-learning, keras, machine-learning.
  • 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 katib if…

  • Tags unique to katib: ai, hyperparameter-tuning.
  • Also covers Evaluation & Observability.
  • When you need to perform comprehensive hyperparameter tuning tasks within a Kubernetes cluster setup.

When NOT to use katib

  • Avoid using Katib if you do not have a Kubernetes cluster setup, as it heavily relies on this platform for operation.
  • If your project's requirements do not extend beyond simple model training tasks and you lack the resources to support a complex CI/CD pipeline like Kubeflow with Katib.
  • Not suitable when working in environments with strict constraints preventing the use of open-source tools under Apache-2.0 licenses.

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 · katib 1.7k (synced Aug 4, 2026).

Common questions

What is the difference between autokeras and katib?
autokeras: AutoML library for deep learning. katib: Automated Machine Learning on Kubernetes. See the comparison table for live GitHub stats and shared categories.
When should I choose autokeras over katib?
Choose autokeras over katib when Tags unique to autokeras: autodl, deep-learning, keras, machine-learning; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When should I choose katib over autokeras?
Choose katib over autokeras when Tags unique to katib: ai, hyperparameter-tuning; Also covers Evaluation & Observability; When you need to perform comprehensive hyperparameter tuning tasks within a Kubernetes cluster setup.
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 katib?
Avoid using Katib if you do not have a Kubernetes cluster setup, as it heavily relies on this platform for operation. If your project's requirements do not extend beyond simple model training tasks and you lack the resources to support a complex CI/CD pipeline like Kubeflow with Katib. Not suitable when working in environments with strict constraints preventing the use of open-source tools under Apache-2.0 licenses.
Is autokeras or katib more popular on GitHub?
autokeras has more GitHub stars (9,328 vs 1,694). Stars measure visibility, not whether either tool fits your constraints.
Are autokeras and katib open source?
Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, katib: Apache-2.0).
Where can I find alternatives to autokeras or katib?
GraphCanon lists graph-backed alternatives at autokeras alternatives and katib alternatives (autokeras markdown twin, katib 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 katib?
autokeras: Slowing. katib: Very active. 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 katib?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; katib trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.