Comparison
HPOBench vs autokeras
Verdict
Pick HPOBench if hPOBench is useful for researchers and developers working on hyperparameter optimization techniques in automated machine learning scenarios; 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 · HPOBench alternatives · autokeras alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | HPOBench | autokeras |
|---|---|---|
| Maintenance | Dormant (439d 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
- HPOBench
- A collection of hyperparameter optimization benchmark problems
- autokeras
- AutoML library for deep learning
Stars
- HPOBench
- 170
- autokeras
- 9.3k
Forks
- HPOBench
- 36
- autokeras
- 1.4k
Open issues
- HPOBench
- 34
- autokeras
- 161
Language
- HPOBench
- Python
- autokeras
- Python
Adopt for
- HPOBench
- HPOBench is useful for researchers and developers working on hyperparameter optimization techniques in automated machine learning scenarios.
- 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
- HPOBench
- -
- autokeras
- -
Runtime
- HPOBench
- -
- autokeras
- -
License
- HPOBench
- HPOBench is open source under the Apache-2.0 license.
- autokeras
- Apache-2.0
Last pushed
- HPOBench
- May 21, 2025
- autokeras
- Nov 25, 2025
Categories
- HPOBench
- Model Training
- autokeras
- Developer Tools, Model Training
Trust and health
Maintenance
- HPOBench
- Dormant (18%)
- autokeras
- Slowing (36%)
Days since push
- HPOBench
- 439d
- autokeras
- 251d
Open issues (now)
- HPOBench
- 34
- autokeras
- 161
OSV dependency advisories
- HPOBench
- Published findings
- autokeras
- No lockfile (source not queried)
Full report
- HPOBench
- Trust report
- autokeras
- Trust report
Shared compatibility
- Python · HPOBench: Python runtime · autokeras: Python runtime
Choose HPOBench if…
- Requirements: The installation recommends, but does not strictly require singularity version 3.6, which can be an additional setup step..
- Tags unique to HPOBench: bayesian-optimization, benchmark, hyperparameter-optimization, python.
- When you are specifically interested in benchmarking hyperparameter optimization problems that include containerized benchmarks to ensure consistency across environments.
When NOT to use HPOBench
- Avoid HPOBench if your project does not require Python or you are looking for a platform that exclusively focuses on the automation of model selection without hyperparameter optimization.
- If you prefer tools with built-in support for multiple programming languages, rather than focusing solely on Python as is the case with HPOBench.
Choose autokeras if…
- Tags unique to autokeras: autodl, deep-learning, keras, machine-learning.
- 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 (automl/HPOBench) · observed Aug 4, 2026
- GitHub forks (automl/HPOBench) · observed Aug 4, 2026
- Last push (automl/HPOBench) · observed May 21, 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: HPOBench 170 · autokeras 9.3k (synced Aug 4, 2026).
Common questions
- What is the difference between HPOBench and autokeras?
- HPOBench: A collection of hyperparameter optimization benchmark problems. autokeras: AutoML library for deep learning. See the comparison table for live GitHub stats and shared categories.
- When should I choose HPOBench over autokeras?
- Choose HPOBench over autokeras when Requirements: The installation recommends, but does not strictly require singularity version 3.6, which can be an additional setup step.; Tags unique to HPOBench: bayesian-optimization, benchmark, hyperparameter-optimization, python; When you are specifically interested in benchmarking hyperparameter optimization problems that include containerized benchmarks to ensure consistency across environments.
- When should I choose autokeras over HPOBench?
- Choose autokeras over HPOBench when Tags unique to autokeras: autodl, deep-learning, keras, machine-learning; Also covers Developer Tools; When your project involves deep learning tasks requiring minimal manual intervention in designing models.
- When should I avoid HPOBench?
- Avoid HPOBench if your project does not require Python or you are looking for a platform that exclusively focuses on the automation of model selection without hyperparameter optimization. If you prefer tools with built-in support for multiple programming languages, rather than focusing solely on Python as is the case with HPOBench.
- 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 HPOBench or autokeras more popular on GitHub?
- autokeras has more GitHub stars (9,328 vs 170). Stars measure visibility, not whether either tool fits your constraints.
- Are HPOBench and autokeras open source?
- Yes - both are open-source projects on GitHub (HPOBench: Apache-2.0, autokeras: Apache-2.0).
- Where can I find alternatives to HPOBench or autokeras?
- GraphCanon lists graph-backed alternatives at HPOBench alternatives and autokeras alternatives (HPOBench 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, HPOBench or autokeras?
- HPOBench: 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 HPOBench and autokeras?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: HPOBench trust report; autokeras trust report.