Comparison
autokeras vs keras
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 keras if keras is a Python-based deep learning framework designed for simplicity and versatility, supporting multiple backends like TensorFlow, JAX, PyTorch, and OpenVINO.
Markdown twin · autokeras alternatives · keras alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | autokeras | keras |
|---|---|---|
| Maintenance | Slowing (251d since push) As of 3w · github_public_v1 | Very active (1d 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
- keras
- Deep Learning for humans
Stars
- autokeras
- 9.3k
- keras
- 64k
Forks
- autokeras
- 1.4k
- keras
- 20k
Open issues
- autokeras
- 161
- keras
- 208
Language
- autokeras
- Python
- keras
- 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+.
- keras
- Keras is a Python-based deep learning framework designed for simplicity and versatility, supporting multiple backends like TensorFlow, JAX, PyTorch, and OpenVINO.
Persona
- autokeras
- -
- keras
- -
Runtime
- autokeras
- -
- keras
- -
License
- autokeras
- Apache-2.0
- keras
- Keras is released under the Apache-2.0 license, allowing it to be freely used and modified in both open-source and commercial projects.
Last pushed
- autokeras
- Nov 25, 2025
- keras
- Aug 1, 2026
Categories
- autokeras
- Developer Tools, Model Training
- keras
- Model Training
Trust and health
Maintenance
- autokeras
- Slowing (36%)
- keras
- Very active (96%)
Days since push
- autokeras
- 251d
- keras
- 1d
Open issues (now)
- autokeras
- 161
- keras
- 208
OSV dependency advisories
- autokeras
- No lockfile (source not queried)
- keras
- No published findings from this source as of 2026-07-11
Full report
- autokeras
- Trust report
- keras
- Trust report
Shared compatibility
- Python · autokeras: Python runtime · keras: Python runtime
Choose autokeras if…
- Tags unique to autokeras: autodl, automl, keras, neural-architecture-search.
- 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 keras if…
- Requirements: Dependencies include installing a backend (like TensorFlow, JAX, PyTorch) along with the `keras` package..
- Tags unique to keras: data-science, jax, neural-networks, python.
- When you need a high-level API to build neural networks more easily with fewer lines of code.
When NOT to use keras
- When low-level optimizations or customizations are necessary since Keras is an abstraction layer that might hide certain details.
- For environments where a specific deep learning framework must be used exclusively; Keras's multi-backend support could introduce unnecessary complexity.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (keras-team/autokeras) · observed Aug 4, 2026
- GitHub forks (keras-team/autokeras) · observed Aug 4, 2026
- Last push (keras-team/autokeras) · observed Nov 25, 2025
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (keras-team/keras) · observed Aug 3, 2026
- GitHub forks (keras-team/keras) · observed Aug 3, 2026
- Last push (keras-team/keras) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autokeras 9.3k · keras 64k (synced Aug 4, 2026).
Common questions
- What is the difference between autokeras and keras?
- autokeras: AutoML library for deep learning. keras: Deep Learning for humans. See the comparison table for live GitHub stats and shared categories.
- When should I choose autokeras over keras?
- Choose autokeras over keras when Tags unique to autokeras: autodl, automl, keras, neural-architecture-search; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I choose keras over autokeras?
- Choose keras over autokeras when Requirements: Dependencies include installing a backend (like TensorFlow, JAX, PyTorch) along with the
keraspackage.; Tags unique to keras: data-science, jax, neural-networks, python; When you need a high-level API to build neural networks more easily with fewer lines of code. - 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 keras?
- When low-level optimizations or customizations are necessary since Keras is an abstraction layer that might hide certain details. For environments where a specific deep learning framework must be used exclusively; Keras's multi-backend support could introduce unnecessary complexity.
- Is autokeras or keras more popular on GitHub?
- keras has more GitHub stars (64,217 vs 9,328). Stars measure visibility, not whether either tool fits your constraints.
- Are autokeras and keras open source?
- Yes - both are open-source projects on GitHub (autokeras: Apache-2.0, keras: Apache-2.0).
- Where can I find alternatives to autokeras or keras?
- GraphCanon lists graph-backed alternatives at autokeras alternatives and keras alternatives (autokeras markdown twin, keras 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 keras?
- autokeras: Slowing. keras: 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 keras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autokeras trust report; keras trust report.