Comparison
Auto-PyTorch vs keras-tuner
Verdict
Pick Auto-PyTorch if auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch; pick keras-tuner if kerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.
Markdown twin · Auto-PyTorch alternatives · keras-tuner alternatives
GraphCanon updated Oct 2, 2026
15views this month
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Trust & integrity
| Signal | Auto-PyTorch | keras-tuner |
|---|---|---|
| Maintenance | Dormant (903d 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
- Auto-PyTorch
- Automatic architecture search and hyperparameter optimization for PyTorch
- keras-tuner
- A Hyperparameter Tuning Library for Keras
Stars
- Auto-PyTorch
- 2.5k
- keras-tuner
- 2.9k
Forks
- Auto-PyTorch
- 298
- keras-tuner
- 406
Open issues
- Auto-PyTorch
- 75
- keras-tuner
- 240
Language
- Auto-PyTorch
- Python
- keras-tuner
- Python
Adopt for
- Auto-PyTorch
- Auto-PyTorch specializes in automatic architecture search and hyperparameter optimization for deep-learning models using PyTorch.
- keras-tuner
- KerasTuner is a hyperparameter tuning library for Keras focused on Python and TensorFlow environments.
Persona
- Auto-PyTorch
- -
- keras-tuner
- -
Runtime
- Auto-PyTorch
- -
- keras-tuner
- -
License
- Auto-PyTorch
- Apache-2.0
- keras-tuner
- Apache-2.0
Last pushed
- Auto-PyTorch
- Apr 9, 2024
- keras-tuner
- Dec 1, 2025
Categories
- Auto-PyTorch
- Data & Retrieval, Model Training
- keras-tuner
- Model Training
Trust and health
Maintenance
- Auto-PyTorch
- Dormant (18%)
- keras-tuner
- Slowing (36%)
Days since push
- Auto-PyTorch
- 903d
- keras-tuner
- 304d
Open issues (now)
- Auto-PyTorch
- 75
- keras-tuner
- 240
Stars delta
- Auto-PyTorch
- -1 (30d)
- keras-tuner
- -2 (30d)
OSV dependency advisories
- Auto-PyTorch
- Published findings
- keras-tuner
- No lockfile (source not queried)
Full report
- Auto-PyTorch
- Trust report
- keras-tuner
- Trust report
Shared compatibility
- Python · Auto-PyTorch: Python runtime · keras-tuner: Python runtime
Choose Auto-PyTorch if…
- Tags unique to Auto-PyTorch: pytorch, tabular-data, time-series-forecasting.
- Also covers Data & Retrieval.
- Auto-PyTorch ships Docker support for self-hosted deployment.
- Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models.
When NOT to use Auto-PyTorch
- Avoid using it if your AI development focuses on frameworks other than PyTorch.
- Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning.
Choose keras-tuner if…
- Tags unique to keras-tuner: hyperparameter-optimization, keras, machine-learning, 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 2.5k) - 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 (automl/Auto-PyTorch) · observed Sep 30, 2026
- GitHub forks (automl/Auto-PyTorch) · observed Sep 30, 2026
- Last push (automl/Auto-PyTorch) · observed Apr 9, 2024
- 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: Auto-PyTorch 2.5k · keras-tuner 2.9k (synced Sep 30, 2026).
Common questions
- What is the difference between Auto-PyTorch and keras-tuner?
- Auto-PyTorch: Automatic architecture search and hyperparameter optimization for PyTorch. keras-tuner: A Hyperparameter Tuning Library for Keras. See the comparison table for live GitHub stats and shared categories.
- When should I choose Auto-PyTorch over keras-tuner?
- Choose Auto-PyTorch over keras-tuner when Tags unique to Auto-PyTorch: pytorch, tabular-data, time-series-forecasting; Also covers Data & Retrieval; Auto-PyTorch ships Docker support for self-hosted deployment; Use when you need to automate both architectural searches and hyperparameter tuning specifically for PyTorch-based deep learning models.
- When should I choose keras-tuner over Auto-PyTorch?
- Choose keras-tuner over Auto-PyTorch when Tags unique to keras-tuner: hyperparameter-optimization, keras, machine-learning, 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 2.5k) - visibility, not fit.
- When should I avoid Auto-PyTorch?
- Avoid using it if your AI development focuses on frameworks other than PyTorch. Do not use when the requirements do not involve deep learning models or you are not interested in automating architecture search and hyperparameter tuning.
- 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 Auto-PyTorch or keras-tuner more popular on GitHub?
- keras-tuner has more GitHub stars (2,921 vs 2,540). Stars measure visibility, not whether either tool fits your constraints.
- Are Auto-PyTorch and keras-tuner open source?
- Yes - both are open-source projects on GitHub (Auto-PyTorch: Apache-2.0, keras-tuner: Apache-2.0).
- Where can I find alternatives to Auto-PyTorch or keras-tuner?
- GraphCanon lists graph-backed alternatives at Auto-PyTorch alternatives and keras-tuner alternatives (Auto-PyTorch 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, Auto-PyTorch or keras-tuner?
- Auto-PyTorch: 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 Auto-PyTorch and keras-tuner?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Auto-PyTorch trust report; keras-tuner trust report.