Comparison
autoai vs optuna
Verdict
Pick autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation; pick optuna if optuna automates hyperparameter tuning in Python, integrating seamlessly with major ML frameworks.
Markdown twin · autoai alternatives · optuna alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | autoai | optuna |
|---|---|---|
| Maintenance | Dormant (496d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
- optuna
- A hyperparameter optimization framework
Stars
- autoai
- 186
- optuna
- 15k
Forks
- autoai
- 46
- optuna
- 1.4k
Open issues
- autoai
- 9
- optuna
- 16
Language
- autoai
- Python
- optuna
- Python
Adopt for
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
- optuna
- Optuna automates hyperparameter tuning in Python, integrating seamlessly with major ML frameworks.
Persona
- autoai
- -
- optuna
- -
Runtime
- autoai
- -
- optuna
- -
License
- autoai
- Apache-2.0
- optuna
- MIT
Last pushed
- autoai
- Mar 25, 2025
- optuna
- Aug 3, 2026
Categories
- autoai
- Model Training
- optuna
- Model Training
Trust and health
Maintenance
- autoai
- Dormant (18%)
- optuna
- Very active (96%)
Days since push
- autoai
- 496d
- optuna
- 1d
Open issues (now)
- autoai
- 9
- optuna
- 16
OSV dependency advisories
- autoai
- Published findings
- optuna
- No lockfile (source not queried)
Full report
- autoai
- Trust report
- optuna
- Trust report
Shared compatibility
- Python · autoai: Python runtime · optuna: Python runtime
Choose autoai if…
- License: autoai is Apache-2.0, optuna is MIT.
- Tags unique to autoai: ai, autoai, automl, codegen.
- Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
When NOT to use autoai
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing.
- Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
Choose optuna if…
- License: optuna is MIT, autoai is Apache-2.0.
- Tags unique to optuna: distributed, hyperparameter-optimization, parallel.
- When you need to streamline the hyperparameter tuning process for machine learning models built in Python.
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 (blobcity/autoai) · observed Aug 4, 2026
- GitHub forks (blobcity/autoai) · observed Aug 4, 2026
- Last push (blobcity/autoai) · observed Mar 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 (optuna/optuna) · observed Aug 4, 2026
- GitHub forks (optuna/optuna) · observed Aug 4, 2026
- Last push (optuna/optuna) · observed Aug 3, 2026
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoai 186 · optuna 15k (synced Aug 4, 2026).
Common questions
- What is the difference between autoai and optuna?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. optuna: A hyperparameter optimization framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoai over optuna?
- Choose autoai over optuna when License: autoai is Apache-2.0, optuna is MIT; Tags unique to autoai: ai, autoai, automl, codegen; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
- When should I choose optuna over autoai?
- Choose optuna over autoai when License: optuna is MIT, autoai is Apache-2.0; Tags unique to optuna: distributed, hyperparameter-optimization, parallel; When you need to streamline the hyperparameter tuning process for machine learning models built in Python.
- When should I avoid autoai?
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
- 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 autoai or optuna more popular on GitHub?
- optuna has more GitHub stars (14,603 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and optuna open source?
- Yes - both are open-source projects on GitHub (autoai: Apache-2.0, optuna: MIT).
- Where can I find alternatives to autoai or optuna?
- GraphCanon lists graph-backed alternatives at autoai alternatives and optuna alternatives (autoai 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, autoai or optuna?
- autoai: Dormant. 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 autoai and optuna?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; optuna trust report.