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 Oct 3, 2026
8views this month
Trust & integrity
| Signal | autoai | Spearmint |
|---|---|---|
| Maintenance | Dormant (554d since push) As of Sep 30, 2026 · github_public_v1 | Dormant (2471d since push) As of Oct 3, 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 3, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings 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
- 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
- 325
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
- 554d
- Spearmint
- 2471d
Open issues (now)
- autoai
- 9
- Spearmint
- 77
Stars delta
- autoai
- 0 (30d)
- Spearmint
- +1 (30d)
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 Sep 30, 2026
- GitHub forks (blobcity/autoai) · observed Sep 30, 2026
- Last push (blobcity/autoai) · observed Mar 25, 2025
- License file (Apache-2.0) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (HIPS/Spearmint) · observed Oct 3, 2026
- GitHub forks (HIPS/Spearmint) · observed Oct 3, 2026
- Last push (HIPS/Spearmint) · observed Dec 27, 2019
- License file (Other) · observed Oct 3, 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 Sep 30, 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 (1,574 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.