OA
kyegomez/Open-AF3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
802 103 +0/wk
GitHub
ai alphafold artificial-intelligence bio biology biology-ai geneml ml
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
kyegomez/Open-AF3 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 | Open-AF3 | scikit-uplift | meta-dataset | pytorch_fundamentals |
|---|---|---|---|---|
| Stars | 802 | 802 | 801 | 804 |
| Forks | 103 | 104 | 142 | 113 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | MIT |
Capability Radar vs scikit-uplift
Open-AF3
scikit-uplift
Maintenance Activity 98
Last code push 10 days ago.
Community Engagement 64
Fork-to-star ratio: 12.8%. 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.