DS
dstackai/dstack
Control plane for agents and engineers to provision compute and run training and inference across NVIDIA, AMD, TPU, and Tenstorrent GPUs—on clouds, Kubernetes, and bare-metal clusters.
2.1k 222 +0/wk
GitHub
agent-skills agentic-orchestration amd cloud containers docker fine-tuning gpu inference k8s kubernetes llms
Trend
3
Star & Fork Trend (37 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
dstackai/dstack 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 | dstack | evaluation-guidebook | ru-gpts | trainer |
|---|---|---|---|---|
| Stars | 2.1k | 2.1k | 2.1k | 2.1k |
| Forks | 222 | 122 | 435 | 943 |
| Weekly Growth | +0 | +1 | +0 | +2 |
| Language | Python | Jupyter Notebook | Python | Go |
| Sources | 1 | 1 | 1 | 1 |
| License | MPL-2.0 | NOASSERTION | Apache-2.0 | Apache-2.0 |
Capability Radar vs evaluation-guidebook
dstack
evaluation-guidebook
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 53
Fork-to-star ratio: 10.7%. 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 70
Licensed under MPL-2.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.