WD
salesforce/warp-drive
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
502 83 +0/wk
GitHub
cuda deep-learning gpu high-throughput multiagent-reinforcement-learning numba pytorch reinforcement-learning
Trend
0
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
salesforce/warp-drive 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 | warp-drive | crater | face-nn | Omega-AI |
|---|---|---|---|---|
| Stars | 502 | 502 | 502 | 502 |
| Forks | 83 | 64 | 151 | 66 |
| Weekly Growth | +0 | +8 | +0 | +0 |
| Language | Python | TypeScript | HLSL | Java |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-3-Clause | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs crater
warp-drive
crater
Maintenance Activity 0
Last code push 342 days ago.
Community Engagement 83
Fork-to-star ratio: 16.5%. 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 BSD-3-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.