Comparison
autoai vs autokeras
Verdict
Pick autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation; 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+.
Markdown twin · autoai alternatives · autokeras alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | autoai | autokeras |
|---|---|---|
| Maintenance | Dormant (496d since push) As of 2w · github_public_v1 | Slowing (251d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
- autokeras
- AutoML library for deep learning
Stars
- autoai
- 186
- autokeras
- 9.3k
Forks
- autoai
- 46
- autokeras
- 1.4k
Open issues
- autoai
- 9
- autokeras
- 161
Language
- autoai
- Python
- autokeras
- Python
Adopt for
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
- autokeras
- AutoKeras simplifies deep learning model design through automated neural architecture search and is compatible with Python 3.7+ and TensorFlow 2.8.0+.
Persona
- autoai
- -
- autokeras
- -
Runtime
- autoai
- -
- autokeras
- -
License
- autoai
- Apache-2.0
- autokeras
- Apache-2.0
Last pushed
- autoai
- Mar 25, 2025
- autokeras
- Nov 25, 2025
Categories
- autoai
- Model Training
- autokeras
- Developer Tools, Model Training
Trust and health
Maintenance
- autoai
- Dormant (18%)
- autokeras
- Slowing (36%)
Days since push
- autoai
- 496d
- autokeras
- 251d
Open issues (now)
- autoai
- 9
- autokeras
- 161
OSV dependency advisories
- autoai
- Published findings
- autokeras
- No lockfile (source not queried)
Full report
- autoai
- Trust report
- autokeras
- Trust report
Shared compatibility
- Python · autoai: Python runtime · autokeras: Python runtime
Choose autoai if…
- Tags unique to autoai: ai, autoai, codegen, ml.
- Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
- Leaner open-issue backlog (9).
When NOT to use autoai
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing.
- Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
Choose autokeras if…
- Tags unique to autokeras: autodl, keras, neural-architecture-search, 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (blobcity/autoai) · observed Aug 4, 2026
- GitHub forks (blobcity/autoai) · observed Aug 4, 2026
- Last push (blobcity/autoai) · observed Mar 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/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 on cards: autoai 186 · autokeras 9.3k (synced Aug 4, 2026).
Common questions
- What is the difference between autoai and autokeras?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoai over autokeras?
- Choose autoai over autokeras when Tags unique to autoai: ai, autoai, codegen, ml; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets; Leaner open-issue backlog (9).
- When should I choose autokeras over autoai?
- Choose autokeras over autoai when Tags unique to autokeras: autodl, keras, neural-architecture-search, tensorflow; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I avoid autoai?
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
- 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.
- Is autoai or autokeras more popular on GitHub?
- autokeras has more GitHub stars (9,328 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and autokeras open source?
- Yes - both are open-source projects on GitHub (autoai: Apache-2.0, autokeras: Apache-2.0).
- Where can I find alternatives to autoai or autokeras?
- GraphCanon lists graph-backed alternatives at autoai alternatives and autokeras alternatives (autoai markdown twin, autokeras 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, autoai or autokeras?
- autoai: Dormant. autokeras: 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 autoai and autokeras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; autokeras trust report.