PY
janosh/pymatviz
A toolkit for visualizations in materials informatics.
309 38 +0/wk
GitHub
data-visualization machine-learning materials-informatics materials-science matplotlib plotly plots python uncertainty uncertainty-calibration
Trend
3
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
janosh/pymatviz has +0 stars this period . 7-day velocity: 0.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | pymatviz | three-man-team | anythingllm-docs | UTMOSv2 |
|---|---|---|---|---|
| Stars | 309 | 309 | 308 | 307 |
| Forks | 38 | 36 | 112 | 30 |
| Weekly Growth | +0 | +18 | +1 | +0 |
| Language | Python | Shell | MDX | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs three-man-team
pymatviz
three-man-team
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 61
Fork-to-star ratio: 12.3%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.