Comparison
archai vs optuna
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 optuna if optuna automates hyperparameter tuning in Python, integrating seamlessly with major ML frameworks.
Markdown twin · archai alternatives · optuna alternatives
GraphCanon updated Oct 2, 2026
9views this month
Trust & integrity
| Signal | archai | optuna |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 30, 2026 · github_public_v1 | Very active (1d 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 | No lockfile (source not queried) 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
- archai
- Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
- optuna
- A hyperparameter optimization framework
Stars
- archai
- 486
- optuna
- 15k
Forks
- archai
- 95
- optuna
- 1.4k
Open issues
- archai
- 0
- optuna
- 19
Language
- archai
- Python
- optuna
- 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.
- optuna
- Optuna automates hyperparameter tuning in Python, integrating seamlessly with major ML frameworks.
Persona
- archai
- -
- optuna
- -
Runtime
- archai
- -
- optuna
- -
License
- archai
- MIT
- optuna
- MIT
Last pushed
- archai
- Sep 28, 2026
- optuna
- Sep 30, 2026
Categories
- archai
- Model Training
- optuna
- Model Training
Trust and health
Open issues (now)
- archai
- 0
- optuna
- 19
Stars delta
- archai
- +1 (30d)
- optuna
- +267 (30d)
Open issues delta
- archai
- -4 (30d)
- optuna
- +3 (30d)
Full report
- archai
- Trust report
- optuna
- Trust report
Shared compatibility
- Python · archai: Python runtime · optuna: Python runtime
Choose archai if…
- Tags unique to archai: automated-machine-learning, automl, darts, deep-learning.
- Need rapid iteration in NAS projects while ensuring reproducibility
- Leaner open-issue backlog (0).
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 optuna if…
- Tags unique to optuna: distributed, machine-learning, parallel, python.
- When you need to streamline the hyperparameter tuning process for machine learning models built in Python.
- More GitHub stars (15k vs 486) - visibility, not fit.
When NOT to use optuna
- If your project is not compatible with Python, as Optuna does not support other languages directly out of box.
- Projects requiring manual control over every aspect of hyperparameter tuning might find Optuna too automated for their needs.
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 Sep 30, 2026
- GitHub forks (microsoft/archai) · observed Sep 30, 2026
- Last push (microsoft/archai) · observed Sep 28, 2026
- License file (MIT) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (optuna/optuna) · observed Oct 2, 2026
- GitHub forks (optuna/optuna) · observed Oct 2, 2026
- Last push (optuna/optuna) · observed Sep 30, 2026
- License file (MIT) · observed Oct 2, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: archai 486 · optuna 15k (synced Sep 30, 2026).
Common questions
- What is the difference between archai and optuna?
- archai: Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.. optuna: A hyperparameter optimization framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose archai over optuna?
- Choose archai over optuna when Tags unique to archai: automated-machine-learning, automl, darts, deep-learning; Need rapid iteration in NAS projects while ensuring reproducibility; Leaner open-issue backlog (0).
- When should I choose optuna over archai?
- Choose optuna over archai when Tags unique to optuna: distributed, machine-learning, parallel, python; When you need to streamline the hyperparameter tuning process for machine learning models built in Python; More GitHub stars (15k vs 486) - visibility, not fit.
- 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 optuna?
- If your project is not compatible with Python, as Optuna does not support other languages directly out of box. Projects requiring manual control over every aspect of hyperparameter tuning might find Optuna too automated for their needs.
- Is archai or optuna more popular on GitHub?
- optuna has more GitHub stars (14,870 vs 486). Stars measure visibility, not whether either tool fits your constraints.
- Are archai and optuna open source?
- Yes - both are open-source projects on GitHub (archai: MIT, optuna: MIT).
- Where can I find alternatives to archai or optuna?
- GraphCanon lists graph-backed alternatives at archai alternatives and optuna alternatives (archai markdown twin, optuna 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 optuna?
- archai: Very active. optuna: Very active. 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 optuna?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: archai trust report; optuna trust report.