Comparison
lux vs dtreeviz
Verdict
Pick lux if automatically visualize pandas dataframes to reveal trends; pick dtreeviz if dtreeviz is a Python library for enhancing decision tree and machine-learning model understanding through visualizations.
Markdown twin · lux alternatives · dtreeviz alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | lux | dtreeviz |
|---|---|---|
| Maintenance | Dormant (865d since push) As of 2w · github_public_v1 | Slowing (212d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization 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
- lux
- Automatically visualize pandas dataframes.
- dtreeviz
- Python library for decision tree visualization and model interpretation
Stars
- lux
- 5.4k
- dtreeviz
- 3.2k
Forks
- lux
- 379
- dtreeviz
- 338
Open issues
- lux
- 90
- dtreeviz
- 75
Language
- lux
- Python
- dtreeviz
- Jupyter Notebook
Adopt for
- lux
- Automatically visualize pandas dataframes to reveal trends.
- dtreeviz
- dtreeviz is a Python library for enhancing decision tree and machine-learning model understanding through visualizations.
Persona
- lux
- -
- dtreeviz
- -
Runtime
- lux
- -
- dtreeviz
- -
License
- lux
- Apache-2.0
- dtreeviz
- MIT
Last pushed
- lux
- Mar 20, 2024
- dtreeviz
- Jan 2, 2026
Categories
- lux
- Data & Retrieval, Developer Tools
- dtreeviz
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- lux
- Dormant (18%)
- dtreeviz
- Slowing (36%)
Days since push
- lux
- 865d
- dtreeviz
- 212d
Open issues (now)
- lux
- 90
- dtreeviz
- 75
Owner type
- lux
- Organization
- dtreeviz
- User
OSV dependency advisories
- lux
- Published findings
- dtreeviz
- No lockfile (source not queried)
Full report
- lux
- Trust report
- dtreeviz
- Trust report
Shared compatibility
- Python · lux: Python runtime · dtreeviz: Python runtime
Choose lux if…
- lux is primarily Python; dtreeviz is Jupyter Notebook.
- License: lux is Apache-2.0, dtreeviz is MIT.
- Tags unique to lux: data-science, exploratory-data-analysis, jupyter, pandas.
- Also covers Data & Retrieval, Developer Tools.
- When you need quick insights from pandas dataframes without manual visualization setup.
When NOT to use lux
- Avoid if your workflow strictly avoids third-party extensions for Pandas.
- Not suitable when detailed customization of visualizations is required, as Lux focuses on automated recommendations.
Choose dtreeviz if…
- dtreeviz is primarily Jupyter Notebook; lux is Python.
- License: dtreeviz is MIT, lux is Apache-2.0.
- Tags unique to dtreeviz: decision-trees, machine-learning, model-interpretation, random-forest.
- Also covers Evaluation & Observability, Model Training.
- 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 (lux-org/lux) · observed Aug 3, 2026
- GitHub forks (lux-org/lux) · observed Aug 3, 2026
- Last push (lux-org/lux) · observed Mar 20, 2024
- License file (Apache-2.0) · observed Aug 3, 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: lux 5.4k · dtreeviz 3.2k (synced Aug 3, 2026).
Common questions
- What is the difference between lux and dtreeviz?
- lux: Automatically visualize pandas dataframes.. 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 lux over dtreeviz?
- Choose lux over dtreeviz when lux is primarily Python; dtreeviz is Jupyter Notebook; License: lux is Apache-2.0, dtreeviz is MIT; Tags unique to lux: data-science, exploratory-data-analysis, jupyter, pandas; Also covers Data & Retrieval, Developer Tools; When you need quick insights from pandas dataframes without manual visualization setup.
- When should I choose dtreeviz over lux?
- Choose dtreeviz over lux when dtreeviz is primarily Jupyter Notebook; lux is Python; License: dtreeviz is MIT, lux is Apache-2.0; Tags unique to dtreeviz: decision-trees, machine-learning, model-interpretation, random-forest; Also covers Evaluation & Observability, Model Training; 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 lux?
- Avoid if your workflow strictly avoids third-party extensions for Pandas. Not suitable when detailed customization of visualizations is required, as Lux focuses on automated recommendations.
- 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 lux or dtreeviz more popular on GitHub?
- lux has more GitHub stars (5,375 vs 3,155). Stars measure visibility, not whether either tool fits your constraints.
- Are lux and dtreeviz open source?
- Yes - both are open-source projects on GitHub (lux: Apache-2.0, dtreeviz: MIT).
- Where can I find alternatives to lux or dtreeviz?
- GraphCanon lists graph-backed alternatives at lux alternatives and dtreeviz alternatives (lux 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, lux or dtreeviz?
- lux: 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 lux and dtreeviz?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lux trust report; dtreeviz trust report.