Comparison
autoai vs keras-tuner
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 keras-tuner if kerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.
Markdown twin · autoai alternatives · keras-tuner alternatives
GraphCanon updated Oct 2, 2026
10views this month
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Trust & integrity
| Signal | autoai | keras-tuner |
|---|---|---|
| Maintenance | Dormant (554d since push) As of Sep 30, 2026 · github_public_v1 | Slowing (304d since push) As of Oct 2, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 30, 2026 · github_public_v1 | Not a fork · Organization account As of Oct 2, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- keras-tuner
- A Hyperparameter Tuning Library for Keras
Stars
- autoai
- 186
- keras-tuner
- 2.9k
Forks
- autoai
- 46
- keras-tuner
- 406
Open issues
- autoai
- 9
- keras-tuner
- 240
Language
- autoai
- Python
- keras-tuner
- 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.
- keras-tuner
- KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.
Persona
- autoai
- -
- keras-tuner
- -
Runtime
- autoai
- -
- keras-tuner
- -
License
- autoai
- Apache-2.0
- keras-tuner
- Apache-2.0
Last pushed
- autoai
- Mar 25, 2025
- keras-tuner
- Dec 1, 2025
Categories
- autoai
- Model Training
- keras-tuner
- Model Training
Trust and health
Maintenance
- autoai
- Dormant (18%)
- keras-tuner
- Slowing (36%)
Days since push
- autoai
- 554d
- keras-tuner
- 304d
Open issues (now)
- autoai
- 9
- keras-tuner
- 240
Stars delta
- autoai
- 0 (30d)
- keras-tuner
- -2 (30d)
OSV dependency advisories
- autoai
- Published findings
- keras-tuner
- No lockfile (source not queried)
Full report
- autoai
- Trust report
- keras-tuner
- Trust report
Shared compatibility
- Python · autoai: Python runtime · keras-tuner: 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 keras-tuner if…
- Tags unique to keras-tuner: hyperparameter-optimization, keras, tensorflow.
- - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies.
- More GitHub stars (2.9k vs 186) - visibility, not fit.
When NOT to use keras-tuner
- - Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies.
- - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras.
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 Sep 30, 2026
- GitHub forks (blobcity/autoai) · observed Sep 30, 2026
- Last push (blobcity/autoai) · observed Mar 25, 2025
- License file (Apache-2.0) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (keras-team/keras-tuner) · observed Oct 2, 2026
- GitHub forks (keras-team/keras-tuner) · observed Oct 2, 2026
- Last push (keras-team/keras-tuner) · observed Dec 1, 2025
- License file (Apache-2.0) · observed Oct 2, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoai 186 · keras-tuner 2.9k (synced Sep 30, 2026).
Common questions
- What is the difference between autoai and keras-tuner?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. keras-tuner: A Hyperparameter Tuning Library for Keras. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoai over keras-tuner?
- Choose autoai over keras-tuner 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 keras-tuner over autoai?
- Choose keras-tuner over autoai when Tags unique to keras-tuner: hyperparameter-optimization, keras, tensorflow; - Use when you are working with TensorFlow 2.0+ and Python 3.8+, specifically if your project relies heavily on these technologies; More GitHub stars (2.9k vs 186) - visibility, not fit.
- 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 keras-tuner?
- - Avoid if your current machine-learning stack does not include Python and TensorFlow 2.0+ as primary dependencies. - Not recommended if you seek hyperparameter tuning solutions that are more generic or compatible with a wider range of ML frameworks beyond Keras.
- Is autoai or keras-tuner more popular on GitHub?
- keras-tuner has more GitHub stars (2,921 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and keras-tuner open source?
- Yes - both are open-source projects on GitHub (autoai: Apache-2.0, keras-tuner: Apache-2.0).
- Where can I find alternatives to autoai or keras-tuner?
- GraphCanon lists graph-backed alternatives at autoai alternatives and keras-tuner alternatives (autoai markdown twin, keras-tuner 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 keras-tuner?
- autoai: Dormant. keras-tuner: 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 keras-tuner?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; keras-tuner trust report.