Home/Compare/autokeras vs archai

Comparison

autokeras vs archai

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 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 · autokeras alternatives · archai alternatives

GraphCanon updated 3w

autokeras logo

autokeras

keras-team/autokeras

9.3kpushed Nov 25, 2025
vs
archai logo

archai

microsoft/archai

485pushed Nov 24, 2025

Trust & integrity

Signalautokerasarchai
Maintenance
Slowing (251d 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

autokeras
AutoML library for deep learning
archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

Stars

autokeras
9.3k
archai
485

Forks

autokeras
1.4k
archai
93

Open issues

autokeras
161
archai
4

Language

autokeras
Python
archai
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+.
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

autokeras
-
archai
-

Runtime

autokeras
-
archai
-

License

autokeras
Apache-2.0
archai
MIT

Last pushed

autokeras
Nov 25, 2025
archai
Nov 24, 2025

Categories

autokeras
Developer Tools, Model Training
archai
Model Training

Trust and health

Days since push

autokeras
251d
archai
252d

Open issues (now)

autokeras
161
archai
4

Full report

autokeras
Trust report

Shared compatibility

  • Python · autokeras: Python runtime · archai: Python runtime

Choose autokeras if…

  • License: autokeras is Apache-2.0, archai is MIT.
  • Tags unique to autokeras: autodl, keras, machine-learning, tensorflow.
  • 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 archai if…

  • License: archai is MIT, autokeras is Apache-2.0.
  • Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression.
  • 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: autokeras 9.3k · archai 485 (synced Aug 4, 2026).

Common questions

What is the difference between autokeras and archai?
autokeras: AutoML library for deep learning. 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 autokeras over archai?
Choose autokeras over archai when License: autokeras is Apache-2.0, archai is MIT; Tags unique to autokeras: autodl, keras, machine-learning, tensorflow; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When should I choose archai over autokeras?
Choose archai over autokeras when License: archai is MIT, autokeras is Apache-2.0; Tags unique to archai: automated-machine-learning, darts, hyperparameter-optimization, model-compression; Need rapid iteration in NAS projects while ensuring reproducibility.
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 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 autokeras or archai more popular on GitHub?
autokeras has more GitHub stars (9,328 vs 485). Stars measure visibility, not whether either tool fits your constraints.
Are autokeras and archai open source?
Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, archai: MIT).
Where can I find alternatives to autokeras or archai?
GraphCanon lists graph-backed alternatives at autokeras alternatives and archai alternatives (autokeras 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, autokeras or archai?
autokeras: 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 autokeras and archai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; archai trust report.

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