Comparison
automl-gs vs scikit-learn
Verdict
Pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data; pick scikit-learn if use scikit-learn for Python-based machine learning tasks that require robust algorithms, comprehensive documentation, and extensive community support.
Markdown twin · automl-gs alternatives · scikit-learn alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | automl-gs | scikit-learn |
|---|---|---|
| Maintenance | Dormant (2477d since push) As of 3w · github_public_v1 | Very active (1d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
- scikit-learn
- machine learning in Python
Stars
- automl-gs
- 1.9k
- scikit-learn
- 67k
Forks
- automl-gs
- 181
- scikit-learn
- 27k
Open issues
- automl-gs
- 28
- scikit-learn
- 2.1k
Language
- automl-gs
- Python
- scikit-learn
- Python
Adopt for
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
- scikit-learn
- Use scikit-learn for Python-based machine learning tasks that require robust algorithms, comprehensive documentation, and extensive community support.
Persona
- automl-gs
- -
- scikit-learn
- -
Runtime
- automl-gs
- -
- scikit-learn
- -
License
- automl-gs
- MIT
- scikit-learn
- BSD-3-Clause
Last pushed
- automl-gs
- Oct 22, 2019
- scikit-learn
- Aug 1, 2026
Categories
- automl-gs
- Data & Retrieval, Model Training
- scikit-learn
- Model Training
Trust and health
Maintenance
- automl-gs
- Dormant (18%)
- scikit-learn
- Very active (96%)
Days since push
- automl-gs
- 2477d
- scikit-learn
- 1d
Open issues (now)
- automl-gs
- 28
- scikit-learn
- 2.1k
Owner type
- automl-gs
- User
- scikit-learn
- Organization
OSV dependency advisories
- automl-gs
- Published findings
- scikit-learn
- No lockfile (source not queried)
Full report
- automl-gs
- Trust report
- scikit-learn
- Trust report
Choose automl-gs if…
- License: automl-gs is MIT, scikit-learn is BSD-3-Clause.
- Tags unique to automl-gs: automl, keras, tensorflow, xgboost.
- Also covers Data & Retrieval.
- Need to rapidly prototype models with limited ML expertise
When NOT to use automl-gs
- Complex feature engineering or non-standard data inputs required
- Sensitive about licensing of the generated code
Choose scikit-learn if…
- License: scikit-learn is BSD-3-Clause, automl-gs is MIT.
- Tags unique to scikit-learn: data-analysis, data-science, statistics.
- When you need a well-documented library with clear examples and strong community support.
When NOT to use scikit-learn
- Avoid if you require cutting-edge deep learning capabilities or model training that is more efficiently managed with GPU accelerators.
- Not ideal when dealing with very large datasets that benefit from out-of-core computation, as it lacks native support for such functionalities.
- If real-time machine learning predictions are critical and need ultra-low latency, other tools might offer better performance.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (minimaxir/automl-gs) · observed Aug 4, 2026
- GitHub forks (minimaxir/automl-gs) · observed Aug 4, 2026
- Last push (minimaxir/automl-gs) · observed Oct 22, 2019
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (scikit-learn/scikit-learn) · observed Aug 3, 2026
- GitHub forks (scikit-learn/scikit-learn) · observed Aug 3, 2026
- Last push (scikit-learn/scikit-learn) · observed Aug 1, 2026
- License file (BSD-3-Clause) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: automl-gs 1.9k · scikit-learn 67k (synced Aug 4, 2026).
Common questions
- What is the difference between automl-gs and scikit-learn?
- automl-gs: Automatically generate machine-learning models and code with input CSV and target field. scikit-learn: machine learning in Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose automl-gs over scikit-learn?
- Choose automl-gs over scikit-learn when License: automl-gs is MIT, scikit-learn is BSD-3-Clause; Tags unique to automl-gs: automl, keras, tensorflow, xgboost; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise.
- When should I choose scikit-learn over automl-gs?
- Choose scikit-learn over automl-gs when License: scikit-learn is BSD-3-Clause, automl-gs is MIT; Tags unique to scikit-learn: data-analysis, data-science, statistics; When you need a well-documented library with clear examples and strong community support.
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- When should I avoid scikit-learn?
- Avoid if you require cutting-edge deep learning capabilities or model training that is more efficiently managed with GPU accelerators. Not ideal when dealing with very large datasets that benefit from out-of-core computation, as it lacks native support for such functionalities. If real-time machine learning predictions are critical and need ultra-low latency, other tools might offer better performance.
- Is automl-gs or scikit-learn more popular on GitHub?
- scikit-learn has more GitHub stars (66,855 vs 1,869). Stars measure visibility, not whether either tool fits your constraints.
- Are automl-gs and scikit-learn open source?
- Yes - both are open-source projects on GitHub (automl-gs: MIT, scikit-learn: BSD-3-Clause).
- Where can I find alternatives to automl-gs or scikit-learn?
- GraphCanon lists graph-backed alternatives at automl-gs alternatives and scikit-learn alternatives (automl-gs markdown twin, scikit-learn 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, automl-gs or scikit-learn?
- automl-gs: Dormant. scikit-learn: 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 automl-gs and scikit-learn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: automl-gs trust report; scikit-learn trust report.