VE
linkedin/venice
Venice, Derived Data Platform for Planet-Scale Workloads.
598 115 +0/wk
GitHub
ai database hadoop kafka ml
Trend
3
Star & Fork Trend (12 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
linkedin/venice has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | venice | BenchMARL | sktime-dl | harvesters |
|---|---|---|---|---|
| Stars | 598 | 598 | 598 | 597 |
| Forks | 115 | 119 | 76 | 103 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Java | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | BSD-2-Clause | MIT | BSD-3-Clause | Apache-2.0 |
Capability Radar vs BenchMARL
venice
BenchMARL
Maintenance Activity 100
Last code push 1 days ago.
Community Engagement 96
Fork-to-star ratio: 19.2%. 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-2-Clause. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.