Comparison
archai vs hyperband
Verdict
Pick archai if archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch; pick hyperband if hyperband optimizes hyperparameters quickly with an efficient bandit-based approach, supporting several models from scikit-learn and polylearn.
Markdown twin · archai alternatives · hyperband alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | archai | hyperband |
|---|---|---|
| Maintenance | Slowing (252d since push) As of 2w · github_public_v1 | Dormant (2910d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
- hyperband
- Tuning hyperparams fast with Hyperband
Stars
- archai
- 485
- hyperband
- 599
Forks
- archai
- 93
- hyperband
- 73
Open issues
- archai
- 4
- hyperband
- 9
Language
- archai
- Python
- hyperband
- Python
Adopt for
- archai
- Archai expedites Neural Architecture Search (NAS) research by providing fast, reproducible, modular tools for automated machine learning and hyperparameter optimization with Python and PyTorch.
- hyperband
- Hyperband optimizes hyperparameters quickly with an efficient bandit-based approach, supporting several models from scikit-learn and polylearn.
Persona
- archai
- -
- hyperband
- -
Runtime
- archai
- -
- hyperband
- -
License
- archai
- MIT
- hyperband
- Other
Last pushed
- archai
- Nov 24, 2025
- hyperband
- Aug 15, 2018
Categories
- archai
- Model Training
- hyperband
- Model Training
Trust and health
Maintenance
- archai
- Slowing (36%)
- hyperband
- Dormant (18%)
Days since push
- archai
- 252d
- hyperband
- 2910d
Open issues (now)
- archai
- 4
- hyperband
- 9
Owner type
- archai
- Organization
- hyperband
- User
Full report
- archai
- Trust report
- hyperband
- Trust report
Shared compatibility
- Python · archai: Python runtime · hyperband: Python runtime
Choose archai if…
- License: archai is MIT, hyperband is Other.
- Tags unique to archai: automated-machine-learning, automl, darts, deep-learning.
- Need rapid iteration in NAS projects while ensuring reproducibility
When NOT to use archai
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions
- Development occurs outside Python 3.8+, limiting the application of Archai tools
Choose hyperband if…
- License: hyperband is Other, archai is MIT.
- Tags unique to hyperband: classification, gradient-boosting, machine-learning, regression.
- Use Hyperband when you need fast optimization of hyperparameters for classifiers such as gradient boosting or regressors like factorization machines from polylearn.
When NOT to use hyperband
- Avoid Hyperband if you require custom data formats that differ significantly from scikit-learn conventions, as this will necessitate extensive customization of the load_data modules.
- Do not use Hyperband when the models you need for hyperparameter tuning are not among the eight pre-supported models; additional support is required outside what comes built-in.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (microsoft/archai) · observed Aug 4, 2026
- GitHub forks (microsoft/archai) · observed Aug 4, 2026
- Last push (microsoft/archai) · observed Nov 24, 2025
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zygmuntz/hyperband) · observed Aug 4, 2026
- GitHub forks (zygmuntz/hyperband) · observed Aug 4, 2026
- Last push (zygmuntz/hyperband) · observed Aug 15, 2018
- License file (Other) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: archai 485 · hyperband 599 (synced Aug 4, 2026).
Common questions
- What is the difference between archai and hyperband?
- archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. hyperband: Tuning hyperparams fast with Hyperband. See the comparison table for live GitHub stats and shared categories.
- When should I choose archai over hyperband?
- Choose archai over hyperband when License: archai is MIT, hyperband is Other; Tags unique to archai: automated-machine-learning, automl, darts, deep-learning; Need rapid iteration in NAS projects while ensuring reproducibility.
- When should I choose hyperband over archai?
- Choose hyperband over archai when License: hyperband is Other, archai is MIT; Tags unique to hyperband: classification, gradient-boosting, machine-learning, regression; Use Hyperband when you need fast optimization of hyperparameters for classifiers such as gradient boosting or regressors like factorization machines from polylearn.
- When should I avoid archai?
- Project requires specific GPU support not aligned with PyTorch 1.7.0+ versions Development occurs outside Python 3.8+, limiting the application of Archai tools
- When should I avoid hyperband?
- Avoid Hyperband if you require custom data formats that differ significantly from scikit-learn conventions, as this will necessitate extensive customization of the load_data modules. Do not use Hyperband when the models you need for hyperparameter tuning are not among the eight pre-supported models; additional support is required outside what comes built-in.
- Is archai or hyperband more popular on GitHub?
- hyperband has more GitHub stars (599 vs 485). Stars measure visibility, not whether either tool fits your constraints.
- Are archai and hyperband open source?
- Yes - both are open-source projects on GitHub (archai: MIT, hyperband: Other).
- Where can I find alternatives to archai or hyperband?
- GraphCanon lists graph-backed alternatives at archai alternatives and hyperband alternatives (archai markdown twin, hyperband 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, archai or hyperband?
- archai: Slowing. hyperband: Dormant. 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 archai and hyperband?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: archai trust report; hyperband trust report.