Home/Compare/autokeras vs MOE

Comparison

autokeras vs MOE

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 MOE if mOE optimizes real-world metrics via automated black-box processes. It is written in C++.

Markdown twin · autokeras alternatives · MOE alternatives

GraphCanon updated 3w

autokeras logo

autokeras

keras-team/autokeras

9.3kpushed Nov 25, 2025
vs
MOE logo

MOE

YelpArchive/MOE

1.3kpushed Mar 24, 2023

Trust & integrity

SignalautokerasMOE
Maintenance
Slowing (251d since push)
As of 3w · github_public_v1
Archived (1228d 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
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
MOE
A global, black box optimization engine for real world metric optimization

Stars

autokeras
9.3k
MOE
1.3k

Forks

autokeras
1.4k
MOE
139

Open issues

autokeras
161
MOE
175

Language

autokeras
Python
MOE
C++

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+.
MOE
MOE optimizes real-world metrics via automated black-box processes. It is written in C++.

Persona

autokeras
-
MOE
-

Runtime

autokeras
-
MOE
-

License

autokeras
Apache-2.0
MOE
Licensed under the Apache License, Version 2.0.

Last pushed

autokeras
Nov 25, 2025
MOE
Mar 24, 2023

Categories

autokeras
Developer Tools, Model Training
MOE
Model Training

Trust and health

Maintenance

autokeras
Slowing (36%)
MOE
Archived (8%)

Days since push

autokeras
251d
MOE
1228d

Archived on GitHub

autokeras
No
MOE
Yes

Open issues (now)

autokeras
161
MOE
175

OSV dependency advisories

autokeras
No lockfile (source not queried)
MOE
Published findings

Full report

autokeras
Trust report

Shared compatibility

  • Python · autokeras: Python runtime · MOE: Python runtime

Choose autokeras if…

  • autokeras is primarily Python; MOE is C++.
  • License: autokeras is Apache-2.0, MOE is Other.
  • Tags unique to autokeras: autodl, automl, deep-learning, keras.
  • 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 MOE if…

  • MOE is primarily C++; autokeras is Python.
  • License: MOE is Other, autokeras is Apache-2.0.
  • Tags unique to MOE: c++, docker, rest server.
  • MOE ships Docker support for self-hosted deployment.
  • When you require an optimization engine that operates as a global, isolated system through Docker containers.

When NOT to use MOE

  • If your team lacks the knowledge or experience to configure and run Docker environments.
  • Not suitable for projects where real-time interaction with optimization processes is needed, as MOE focuses on batch processing scenarios.

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 · MOE 1.3k (synced Aug 4, 2026).

Common questions

What is the difference between autokeras and MOE?
autokeras: AutoML library for deep learning. MOE: A global, black box optimization engine for real world metric optimization. See the comparison table for live GitHub stats and shared categories.
When should I choose autokeras over MOE?
Choose autokeras over MOE when autokeras is primarily Python; MOE is C++; License: autokeras is Apache-2.0, MOE is Other; Tags unique to autokeras: autodl, automl, deep-learning, keras; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
When should I choose MOE over autokeras?
Choose MOE over autokeras when MOE is primarily C++; autokeras is Python; License: MOE is Other, autokeras is Apache-2.0; Tags unique to MOE: c++, docker, rest server; MOE ships Docker support for self-hosted deployment; When you require an optimization engine that operates as a global, isolated system through Docker containers.
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 MOE?
If your team lacks the knowledge or experience to configure and run Docker environments. Not suitable for projects where real-time interaction with optimization processes is needed, as MOE focuses on batch processing scenarios.
Is autokeras or MOE more popular on GitHub?
autokeras has more GitHub stars (9,328 vs 1,321). Stars measure visibility, not whether either tool fits your constraints.
Are autokeras and MOE open source?
Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, MOE: Other).
Where can I find alternatives to autokeras or MOE?
GraphCanon lists graph-backed alternatives at autokeras alternatives and MOE alternatives (autokeras markdown twin, MOE 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 MOE?
autokeras: Slowing. MOE: Archived. 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 MOE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; MOE trust report.

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