NE
atomicarchitects/nequix
[NeurIPS'25 AI4Mat] Nequix: Training a foundation model for materials on a budget and [arXiv'26] Phonon fine-tuning (PFT)
72 14 +0/wk
GitHub
interatomic-potentials machine-learning materials-science
Trend
0
Star & Fork Trend (13 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
atomicarchitects/nequix has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | nequix | johnsnowlabs | langfuse-mcp | vektori |
|---|---|---|---|---|
| Stars | 72 | 72 | 72 | 72 |
| Forks | 14 | 28 | 21 | 3 |
| Weekly Growth | +0 | +0 | +0 | +3 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | NOASSERTION | MIT | Apache-2.0 |
Capability Radar vs johnsnowlabs
nequix
johnsnowlabs
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 97
Fork-to-star ratio: 19.4%. 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.