Home/Compare/keras-tuner vs archai

Comparison

keras-tuner vs archai

Verdict

Pick keras-tuner if kerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments; pick archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.

Markdown twin · keras-tuner alternatives · archai alternatives

GraphCanon updated 3w

keras-tuner logo

keras-tuner

keras-team/keras-tuner

2.9kpushed Dec 1, 2025
vs
archai logo

archai

microsoft/archai

485pushed Nov 24, 2025

Trust & integrity

Signalkeras-tunerarchai
Maintenance
Slowing (245d since push)
As of 3w · github_public_v1
Slowing (252d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · 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

keras-tuner
A Hyperparameter Tuning Library for Keras
archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Stars

keras-tuner
2.9k
archai
485

Forks

keras-tuner
404
archai
93

Open issues

keras-tuner
240
archai
4

Language

keras-tuner
Python
archai
Python

Adopt for

keras-tuner
KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.
archai
Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.

Persona

keras-tuner
-
archai
-

Runtime

keras-tuner
-
archai
-

License

keras-tuner
Apache-2.0
archai
MIT

Last pushed

keras-tuner
Dec 1, 2025
archai
Nov 24, 2025

Categories

keras-tuner
Model Training
archai
Model Training

Trust and health

Days since push

keras-tuner
245d
archai
252d

Open issues (now)

keras-tuner
240
archai
4

Full report

keras-tuner
Trust report

Shared compatibility

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

Choose keras-tuner if…

  • License: keras-tuner is Apache-2.0, archai is MIT.
  • Tags unique to keras-tuner: keras, machine-learning, tensorflow.
  • - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.

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.

Choose archai if…

  • License: archai is MIT, keras-tuner is Apache-2.0.
  • Tags unique to archai: automated-machine-learning, darts, model-compression, nas.
  • Need rapid iteration in NAS projects while ensuring reproducibility

When NOT to use archai

  • Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions
  • Development occurs outside Python 3.8+, limiting the application of Archai tools

Explore

Sources

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

GitHub stars on cards: keras-tuner 2.9k · archai 485 (synced Aug 4, 2026).

Common questions

What is the difference between keras-tuner and archai?
keras-tuner: A Hyperparameter Tuning Library for Keras. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories.
When should I choose keras-tuner over archai?
Choose keras-tuner over archai when License: keras-tuner is Apache-2.0, archai is MIT; Tags unique to keras-tuner: keras, machine-learning, tensorflow; - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.
When should I choose archai over keras-tuner?
Choose archai over keras-tuner when License: archai is MIT, keras-tuner is Apache-2.0; Tags unique to archai: automated-machine-learning, darts, model-compression, nas; Need rapid iteration in NAS projects while ensuring reproducibility.
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.
When should I avoid archai?
Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools
Is keras-tuner or archai more popular on GitHub?
keras-tuner has more GitHub stars (2,923 vs 485). Stars measure visibility, not whether either tool fits your constraints.
Are keras-tuner and archai open source?
Yes - both are open-source projects on GitHub (keras-tuner: Apache-2.0, archai: MIT).
Where can I find alternatives to keras-tuner or archai?
GraphCanon lists graph-backed alternatives at keras-tuner alternatives and archai alternatives (keras-tuner markdown twin, archai 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, keras-tuner or archai?
keras-tuner: Slowing. archai: 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 keras-tuner and archai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: keras-tuner trust report; archai trust report.

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