Home/Compare/autokeras vs learn2learn

Comparison

autokeras vs learn2learn

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 learn2learn if learn2learn is a PyTorch library for conducting meta-learning research with a focus on few-shot learning tasks.

Markdown twin · autokeras alternatives · learn2learn alternatives

GraphCanon updated 3w

autokeras logo

autokeras

keras-team/autokeras

9.3kpushed Nov 25, 2025
vs
learn2learn logo

learn2learn

learnables/learn2learn

2.9kpushed Dec 16, 2025

Trust & integrity

Signalautokeraslearn2learn
Maintenance
Slowing (251d since push)
As of 3w · github_public_v1
Slowing (230d 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 published findings from this source as of 2026-07-11
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
learn2learn
A PyTorch Library for Meta-learning Research

Stars

autokeras
9.3k
learn2learn
2.9k

Forks

autokeras
1.4k
learn2learn
359

Open issues

autokeras
161
learn2learn
34

Language

autokeras
Python
learn2learn
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+.
learn2learn
Learn2learn is a PyTorch library for conducting meta-learning research with a focus on few-shot learning tasks.

Persona

autokeras
-
learn2learn
-

Runtime

autokeras
-
learn2learn
-

License

autokeras
Apache-2.0
learn2learn
MIT

Last pushed

autokeras
Nov 25, 2025
learn2learn
Dec 16, 2025

Categories

autokeras
Developer Tools, Model Training
learn2learn
Model Training

Trust and health

Days since push

autokeras
251d
learn2learn
230d

Open issues (now)

autokeras
161
learn2learn
34

OSV dependency advisories

autokeras
No lockfile (source not queried)
learn2learn
No published findings from this source as of 2026-07-11

Full report

autokeras
Trust report
learn2learn
Trust report

Shared compatibility

  • Python · autokeras: Python runtime · learn2learn: Python runtime

Choose autokeras if…

  • License: autokeras is Apache-2.0, learn2learn is MIT.
  • 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 learn2learn if…

  • License: learn2learn is MIT, autokeras is Apache-2.0.
  • Tags unique to learn2learn: few-shot, finetuning, learn2learn, learning2learn.
  • When focusing on few-shot learning scenarios

When NOT to use learn2learn

  • If the project does not require PyTorch
  • For traditional machine learning problems without the need for meta-learning

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 · learn2learn 2.9k (synced Aug 4, 2026).

Common questions

What is the difference between autokeras and learn2learn?
autokeras: AutoML library for deep learning. learn2learn: A PyTorch Library for Meta-learning Research. See the comparison table for live GitHub stats and shared categories.
When should I choose autokeras over learn2learn?
Choose autokeras over learn2learn when License: autokeras is Apache-2.0, learn2learn is MIT; 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 learn2learn over autokeras?
Choose learn2learn over autokeras when License: learn2learn is MIT, autokeras is Apache-2.0; Tags unique to learn2learn: few-shot, finetuning, learn2learn, learning2learn; When focusing on few-shot learning scenarios.
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 learn2learn?
If the project does not require PyTorch For traditional machine learning problems without the need for meta-learning
Is autokeras or learn2learn more popular on GitHub?
autokeras has more GitHub stars (9,328 vs 2,891). Stars measure visibility, not whether either tool fits your constraints.
Are autokeras and learn2learn open source?
Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, learn2learn: MIT).
Where can I find alternatives to autokeras or learn2learn?
GraphCanon lists graph-backed alternatives at autokeras alternatives and learn2learn alternatives (autokeras markdown twin, learn2learn 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 learn2learn?
autokeras: Slowing. learn2learn: 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 learn2learn?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; learn2learn trust report.

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