Comparison
autoai vs Spearmint
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 Spearmint if a specialized package for performing Bayesian optimization, Spearmint automates experiment running and parameter tuning to minimize objectives efficiently.
Markdown twin · autoai alternatives · Spearmint alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | autoai | Spearmint |
|---|---|---|
| Maintenance | Dormant (496d since push) As of 3w · github_public_v1 | Dormant (2411d 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
- Spearmint
- Bayesian optimization codebase
Stars
- autoai
- 186
- Spearmint
- 1.6k
Forks
- autoai
- 46
- Spearmint
- 327
Open issues
- autoai
- 9
- Spearmint
- 77
Language
- autoai
- Python
- Spearmint
- 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.
- Spearmint
- A specialized package for performing Bayesian optimization, Spearmint automates experiment running and parameter tuning to minimize objectives efficiently.
Persona
- autoai
- -
- Spearmint
- -
Runtime
- autoai
- -
- Spearmint
- -
License
- autoai
- Apache-2.0
- Spearmint
- Other
Last pushed
- autoai
- Mar 25, 2025
- Spearmint
- Dec 27, 2019
Categories
- autoai
- Model Training
- Spearmint
- Model Training
Trust and health
Days since push
- autoai
- 496d
- Spearmint
- 2411d
Open issues (now)
- autoai
- 9
- Spearmint
- 77
OSV dependency advisories
- autoai
- Published findings
- Spearmint
- No lockfile (source not queried)
Full report
- autoai
- Trust report
- Spearmint
- Trust report
Shared compatibility
- Python · autoai: Python runtime · Spearmint: Python runtime
Choose autoai if…
- License: autoai is Apache-2.0, Spearmint is Other.
- 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 Spearmint if…
- License: Spearmint is Other, autoai is Apache-2.0.
- Tags unique to Spearmint: automated-experimentation, bayesian-optimization, hyperparameter-tuning.
- - When you require automated experimentation with parameters that can be iteratively adjusted
When NOT to use Spearmint
- - If your project requires a permissive license as Spearmint operates under an Academic and Non-Commercial Research Use License
- - If you need real-time or continuous parameter tuning outside of batch experimentation contexts as Spearmint is suited for controlled experiment setups
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 (HIPS/Spearmint) · observed Aug 4, 2026
- GitHub forks (HIPS/Spearmint) · observed Aug 4, 2026
- Last push (HIPS/Spearmint) · observed Dec 27, 2019
- License file (Other) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: autoai 186 · Spearmint 1.6k (synced Aug 4, 2026).
Common questions
- What is the difference between autoai and Spearmint?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. Spearmint: Bayesian optimization codebase. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoai over Spearmint?
- Choose autoai over Spearmint when License: autoai is Apache-2.0, Spearmint is Other; 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 Spearmint over autoai?
- Choose Spearmint over autoai when License: Spearmint is Other, autoai is Apache-2.0; Tags unique to Spearmint: automated-experimentation, bayesian-optimization, hyperparameter-tuning; - When you require automated experimentation with parameters that can be iteratively adjusted.
- 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 Spearmint?
- - If your project requires a permissive license as Spearmint operates under an Academic and Non-Commercial Research Use License - If you need real-time or continuous parameter tuning outside of batch experimentation contexts as Spearmint is suited for controlled experiment setups
- Is autoai or Spearmint more popular on GitHub?
- Spearmint has more GitHub stars (1,573 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and Spearmint open source?
- Yes - both are open-source projects on GitHub (autoai: Apache-2.0, Spearmint: Other).
- Where can I find alternatives to autoai or Spearmint?
- GraphCanon lists graph-backed alternatives at autoai alternatives and Spearmint alternatives (autoai markdown twin, Spearmint 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 Spearmint?
- autoai: Dormant. Spearmint: 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 autoai and Spearmint?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; Spearmint trust report.