Comparison
hyperopt vs archai
Verdict
Pick hyperopt if hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing; 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.
Markdown twin · hyperopt alternatives · archai alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | hyperopt | archai |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Slowing (252d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- hyperopt
- Distributed Asynchronous Hyperparameter Optimization in Python
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Stars
- hyperopt
- 7.6k
- archai
- 485
Forks
- hyperopt
- 1.1k
- archai
- 93
Open issues
- hyperopt
- 9
- archai
- 4
Language
- hyperopt
- Python
- archai
- Python
Adopt for
- hyperopt
- Hyperopt offers distributed asynchronous hyperparameter optimization with multiple optimizers like TPE and Annealing.
- 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.
Persona
- hyperopt
- -
- archai
- -
Runtime
- hyperopt
- -
- archai
- -
License
- hyperopt
- Other
- archai
- MIT
Last pushed
- hyperopt
- Aug 3, 2026
- archai
- Nov 24, 2025
Categories
- hyperopt
- Model Training
- archai
- Model Training
Trust and health
Maintenance
- hyperopt
- Very active (96%)
- archai
- Slowing (36%)
Days since push
- hyperopt
- 0d
- archai
- 252d
Open issues (now)
- hyperopt
- 9
- archai
- 4
Full report
- hyperopt
- Trust report
- archai
- Trust report
Shared compatibility
- Python · hyperopt: Python runtime · archai: Python runtime
Choose hyperopt if…
- License: hyperopt is Other, archai is MIT.
- Tags unique to hyperopt: annealing, asynchronous, distributed-computing, machine-learning.
- When you need to optimize machine learning model parameters on a distributed system asynchronously.
When NOT to use hyperopt
- If your project does not support asynchronous execution, opting for synchronous tools might be more suitable.
- Avoid if you prefer a simpler setup without the complexity of distributed systems and instead need straightforward hyperparameter tuning options.
Choose archai if…
- License: archai is MIT, hyperopt 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hyperopt/hyperopt) · observed Aug 4, 2026
- GitHub forks (hyperopt/hyperopt) · observed Aug 4, 2026
- Last push (hyperopt/hyperopt) · observed Aug 3, 2026
- License file (Other) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: hyperopt 7.6k · archai 485 (synced Aug 4, 2026).
Common questions
- What is the difference between hyperopt and archai?
- hyperopt: Distributed Asynchronous Hyperparameter Optimization in Python. archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. See the comparison table for live GitHub stats and shared categories.
- When should I choose hyperopt over archai?
- Choose hyperopt over archai when License: hyperopt is Other, archai is MIT; Tags unique to hyperopt: annealing, asynchronous, distributed-computing, machine-learning; When you need to optimize machine learning model parameters on a distributed system asynchronously.
- When should I choose archai over hyperopt?
- Choose archai over hyperopt when License: archai is MIT, hyperopt 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 avoid hyperopt?
- If your project does not support asynchronous execution, opting for synchronous tools might be more suitable. Avoid if you prefer a simpler setup without the complexity of distributed systems and instead need straightforward hyperparameter tuning options.
- 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
- Is hyperopt or archai more popular on GitHub?
- hyperopt has more GitHub stars (7,598 vs 485). Stars measure visibility, not whether either tool fits your constraints.
- Are hyperopt and archai open source?
- Yes - both are open-source projects on GitHub (hyperopt: Other, archai: MIT).
- Where can I find alternatives to hyperopt or archai?
- GraphCanon lists graph-backed alternatives at hyperopt alternatives and archai alternatives (hyperopt markdown twin, archai 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, hyperopt or archai?
- hyperopt: Very active. archai: 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 hyperopt and archai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hyperopt trust report; archai trust report.