EJ
e3nn/e3nn-jax
jax library for E3 Equivariant Neural Networks
227 19 +0/wk
GitHub
deep-learning jax lie-groups
Trend
0
Star & Fork Trend (10 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
e3nn/e3nn-jax has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | e3nn-jax | En-transformer | emergent | cellfinder |
|---|---|---|---|---|
| Stars | 227 | 226 | 228 | 226 |
| Forks | 19 | 30 | 34 | 79 |
| Weekly Growth | +0 | +0 | -3 | +0 |
| Language | Python | Python | Go | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | BSD-3-Clause | BSD-3-Clause |
Capability Radar vs En-transformer
e3nn-jax
En-transformer
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 42
Fork-to-star ratio: 8.4%. Lower fork ratio may indicate passive usage.
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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.