Home/Compare/automl-gs vs pycaret

Comparison

automl-gs vs pycaret

Verdict

Pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data; pick pycaret if pyCaret is an open-source low-code AutoML platform with a dual license structure and support for various ML tasks like classification, clustering, and anomaly detection.

Markdown twin · automl-gs alternatives · pycaret alternatives

GraphCanon updated 2w

automl-gs logo

automl-gs

minimaxir/automl-gs

1.9kpushed Oct 22, 2019
vs
pycaret logo

pycaret

pycaret/pycaret

9.8kpushed Jul 23, 2026

Trust & integrity

Signalautoml-gspycaret
Maintenance
Dormant (2477d since push)
As of 2w · github_public_v1
Active (12d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Personal account
As of 2w · 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

automl-gs
Automatically generate machine-learning models and code with input CSV and target field
pycaret
Open-source low-code AutoML platform for Python

Stars

automl-gs
1.9k
pycaret
9.8k

Forks

automl-gs
181
pycaret
1.9k

Open issues

automl-gs
28
pycaret
32

Language

automl-gs
Python
pycaret
Python

Adopt for

automl-gs
automl-gs: Python tool for automated machine-learning model creation from CSV data
pycaret
PyCaret is an open-source low-code AutoML platform with a dual license structure and support for various ML tasks like classification, clustering, and anomaly detection.

Persona

automl-gs
-
pycaret
-

Runtime

automl-gs
-
pycaret
-

License

automl-gs
MIT
pycaret
Other

Last pushed

automl-gs
Oct 22, 2019
pycaret
Jul 23, 2026

Categories

automl-gs
Data & Retrieval, Model Training
pycaret
Model Training

Trust and health

Maintenance

automl-gs
Dormant (18%)
pycaret
Active (82%)

Days since push

automl-gs
2477d
pycaret
12d

Open issues (now)

automl-gs
28
pycaret
32

Owner type

automl-gs
User
pycaret
Organization

OSV dependency advisories

automl-gs
Published findings
pycaret
No lockfile (source not queried)

Full report

automl-gs
Trust report

Choose automl-gs if…

  • License: automl-gs is MIT, pycaret is Other.
  • Tags unique to automl-gs: keras, python, 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 pycaret if…

  • License: pycaret is Other, automl-gs is MIT.
  • Tags unique to pycaret: anomaly-detection, classification, clustering, data-science.
  • You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity

When NOT to use pycaret

  • Looking for pure open-source contributions as the control plane is BUSL-1.1 licensed until 2027
  • You prioritize a fully code-driven custom ML pipeline over a low-code and automated approach

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: automl-gs 1.9k · pycaret 9.8k (synced Aug 4, 2026).

Common questions

What is the difference between automl-gs and pycaret?
automl-gs: Automatically generate machine-learning models and code with input CSV and target field. pycaret: Open-source low-code AutoML platform for Python. See the comparison table for live GitHub stats and shared categories.
When should I choose automl-gs over pycaret?
Choose automl-gs over pycaret when License: automl-gs is MIT, pycaret is Other; Tags unique to automl-gs: keras, python, tensorflow, xgboost; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise.
When should I choose pycaret over automl-gs?
Choose pycaret over automl-gs when License: pycaret is Other, automl-gs is MIT; Tags unique to pycaret: anomaly-detection, classification, clustering, data-science; You need to implement end-to-end machine learning pipelines using Python without diving deep into code complexity.
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 pycaret?
Looking for pure open-source contributions as the control plane is BUSL-1.1 licensed until 2027 You prioritize a fully code-driven custom ML pipeline over a low-code and automated approach
Is automl-gs or pycaret more popular on GitHub?
pycaret has more GitHub stars (9,831 vs 1,869). Stars measure visibility, not whether either tool fits your constraints.
Are automl-gs and pycaret open source?
Yes - both are open-source projects on GitHub (automl-gs: MIT, pycaret: Other).
Where can I find alternatives to automl-gs or pycaret?
GraphCanon lists graph-backed alternatives at automl-gs alternatives and pycaret alternatives (automl-gs markdown twin, pycaret 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 pycaret?
automl-gs: Dormant. pycaret: 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 pycaret?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: automl-gs trust report; pycaret trust report.

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