NL
mllam/neural-lam
Research Software for Neural Weather Prediction for Limited Area Modeling
264 258 +0/wk
GitHub
gsoc gsoc-2026 machine-learning weather
Trend
3
Star & Fork Trend (10 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
mllam/neural-lam has +0 stars this period . 7-day velocity: 0.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | neural-lam | flyto-core | wayang | openfoodfacts-ai |
|---|---|---|---|---|
| Stars | 264 | 264 | 264 | 265 |
| Forks | 258 | 45 | 135 | 72 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Java | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | N/A |
Capability Radar vs flyto-core
neural-lam
flyto-core
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 20
Fork-to-star ratio: 97.7%. 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.