KU
run-house/kubetorch
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra.
1.2k 53 +0/wk
GitHub
artificial-intelligence aws data-processing data-science distributed evaluation gcp inference infrastructure kubernetes machine-learning observability
Trend
3
Star & Fork Trend (31 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
run-house/kubetorch has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | kubetorch | torch-fidelity | EmbedAnything | DeepGTAV |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 53 | 87 | 115 | 276 |
| Weekly Growth | +0 | +1 | -1 | +0 |
| Language | Python | Python | Rust | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | NOASSERTION | Apache-2.0 | GPL-3.0 |
Capability Radar vs torch-fidelity
kubetorch
torch-fidelity
Maintenance Activity 95
Last code push 16 days ago.
Community Engagement 69
Fork-to-star ratio: 4.5%. 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.