EA
NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
748 167 +5/wk
GitHub
ai climate-science deep-learning weather
Trend
3
Star & Fork Trend (24 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
NVIDIA/earth2studio has +5 stars this period . 7-day velocity: 0.8%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | earth2studio | panda-gym | DNABERT | causal-ml |
|---|---|---|---|---|
| Stars | 748 | 748 | 748 | 749 |
| Forks | 167 | 135 | 178 | 134 |
| Weekly Growth | +5 | +0 | +0 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | Apache-2.0 | N/A |
Capability Radar vs panda-gym
earth2studio
panda-gym
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 100
Fork-to-star ratio: 22.3%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 80
+5 stars this period — 0.67% growth rate.
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.