Comparison
automl-gs vs dtreeviz
Verdict
Pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data; pick dtreeviz if dtreeviz is a Python library for enhancing decision tree and machine-learning model understanding through visualizations.
Markdown twin · automl-gs alternatives · dtreeviz alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | automl-gs | dtreeviz |
|---|---|---|
| Maintenance | Dormant (2477d since push) As of 2w · github_public_v1 | Slowing (212d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Personal 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
- dtreeviz
- Python library for decision tree visualization and model interpretation
Stars
- automl-gs
- 1.9k
- dtreeviz
- 3.2k
Forks
- automl-gs
- 181
- dtreeviz
- 338
Open issues
- automl-gs
- 28
- dtreeviz
- 75
Language
- automl-gs
- Python
- dtreeviz
- Jupyter Notebook
Adopt for
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
- dtreeviz
- dtreeviz is a Python library for enhancing decision tree and machine-learning model understanding through visualizations.
Persona
- automl-gs
- -
- dtreeviz
- -
Runtime
- automl-gs
- -
- dtreeviz
- -
License
- automl-gs
- MIT
- dtreeviz
- MIT
Last pushed
- automl-gs
- Oct 22, 2019
- dtreeviz
- Jan 2, 2026
Categories
- automl-gs
- Data & Retrieval, Model Training
- dtreeviz
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- automl-gs
- Dormant (18%)
- dtreeviz
- Slowing (36%)
Days since push
- automl-gs
- 2477d
- dtreeviz
- 212d
Open issues (now)
- automl-gs
- 28
- dtreeviz
- 75
OSV dependency advisories
- automl-gs
- Published findings
- dtreeviz
- No lockfile (source not queried)
Full report
- automl-gs
- Trust report
- dtreeviz
- Trust report
Choose automl-gs if…
- automl-gs is primarily Python; dtreeviz is Jupyter Notebook.
- Tags unique to automl-gs: automl, keras, python, tensorflow.
- 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 dtreeviz if…
- dtreeviz is primarily Jupyter Notebook; automl-gs is Python.
- Tags unique to dtreeviz: decision-trees, model-interpretation, random-forest, scikit-learn.
- Also covers Evaluation & Observability.
- When you need detailed and interactive visualization of decision trees from models trained with libraries like scikit-learn, XGBoost, LightGBM, or TensorFlow Decision Forests.
When NOT to use dtreeviz
- In scenarios where the primary focus is on model performance benchmarking as opposed to understanding or explaining existing models.
- If your project workflow does not involve Python, given dtreeviz's reliance on a specific set of Python ML libraries for its visualizations and interpretative functionalities.
- For real-time prediction path visualization in production environments due to the overhead associated with generating detailed visual representations.
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 (parrt/dtreeviz) · observed Aug 3, 2026
- GitHub forks (parrt/dtreeviz) · observed Aug 3, 2026
- Last push (parrt/dtreeviz) · observed Jan 2, 2026
- License file (MIT) · 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 · dtreeviz 3.2k (synced Aug 4, 2026).
Common questions
- What is the difference between automl-gs and dtreeviz?
- automl-gs: Automatically generate machine-learning models and code with input CSV and target field. dtreeviz: Python library for decision tree visualization and model interpretation. See the comparison table for live GitHub stats and shared categories.
- When should I choose automl-gs over dtreeviz?
- Choose automl-gs over dtreeviz when automl-gs is primarily Python; dtreeviz is Jupyter Notebook; Tags unique to automl-gs: automl, keras, python, tensorflow; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise.
- When should I choose dtreeviz over automl-gs?
- Choose dtreeviz over automl-gs when dtreeviz is primarily Jupyter Notebook; automl-gs is Python; Tags unique to dtreeviz: decision-trees, model-interpretation, random-forest, scikit-learn; Also covers Evaluation & Observability; When you need detailed and interactive visualization of decision trees from models trained with libraries like scikit-learn, XGBoost, LightGBM, or TensorFlow Decision Forests.
- 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 dtreeviz?
- In scenarios where the primary focus is on model performance benchmarking as opposed to understanding or explaining existing models. If your project workflow does not involve Python, given dtreeviz's reliance on a specific set of Python ML libraries for its visualizations and interpretative functionalities. For real-time prediction path visualization in production environments due to the overhead associated with generating detailed visual representations.
- Is automl-gs or dtreeviz more popular on GitHub?
- dtreeviz has more GitHub stars (3,155 vs 1,869). Stars measure visibility, not whether either tool fits your constraints.
- Are automl-gs and dtreeviz open source?
- Yes - both are open-source projects on GitHub (automl-gs: MIT, dtreeviz: MIT).
- Where can I find alternatives to automl-gs or dtreeviz?
- GraphCanon lists graph-backed alternatives at automl-gs alternatives and dtreeviz alternatives (automl-gs markdown twin, dtreeviz 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 dtreeviz?
- automl-gs: Dormant. dtreeviz: Slowing. 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 dtreeviz?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: automl-gs trust report; dtreeviz trust report.