Comparison
dstack vs skypilot
Verdict
Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick skypilot if skyPilot is a Python-based platform for managing AI workloads across diverse cloud and on-premises environments. It supports deep learning tasks such as distributed training, hyperparameter tuning, and model serving.
Markdown twin · dstack alternatives · skypilot alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | dstack | skypilot |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dstack
- Vendor-agnostic orchestration for AI workloads
- skypilot
- Run, manage, and scale AI workloads on any AI infrastructure.
Stars
- dstack
- 2.2k
- skypilot
- 10k
Forks
- dstack
- 240
- skypilot
- 1.2k
Open issues
- dstack
- 61
- skypilot
- 344
Language
- dstack
- Python
- skypilot
- Python
Adopt for
- dstack
- Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal.
- skypilot
- SkyPilot is a Python-based platform for managing AI workloads across diverse cloud and on-premises environments. It supports deep learning tasks such as distributed training, hyperparameter tuning, and model serving.
Persona
- dstack
- -
- skypilot
- -
Runtime
- dstack
- -
- skypilot
- -
License
- dstack
- MPL-2.0
- skypilot
- Apache-2.0
Last pushed
- dstack
- Jul 24, 2026
- skypilot
- Aug 7, 2026
Categories
- dstack
- AI Agents, Inference & Serving, Model Training
- skypilot
- Developer Tools, Inference & Serving, Model Training
Trust and health
Open issues (now)
- dstack
- 61
- skypilot
- 344
Full report
- dstack
- Trust report
- skypilot
- Trust report
Choose dstack if…
- License: dstack is MPL-2.0, skypilot is Apache-2.0.
- Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
- Also covers AI Agents.
- If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent
When NOT to use dstack
- When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred
- If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0)
Choose skypilot if…
- License: skypilot is Apache-2.0, dstack is MPL-2.0.
- Pricing: SkyPilot operates under an open-source license (Apache-2.0) with core features available freely, while advanced optimizations and integrations may drive usage towards higher costs based on underlying云.
- Tags unique to skypilot: cloud-computing, cloud-management, cost-optimization, deep-learning.
- Also covers Developer Tools.
- skypilot ships Docker support for self-hosted deployment.
- When you need to manage multiple cloud resources including Kubernetes clusters, Slurm, and over 20 different clouds along with on-premise servers.
When NOT to use skypilot
- Avoid SkyPilot if you are working exclusively on a single cloud platform without a need for multi-cloud resource management or optimization.
- Not recommended if your primary requirement is a specialized training algorithm that lacks support within the Python environment or the limitations of existing SkyPilot capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dstackai/dstack) · observed Jul 24, 2026
- GitHub forks (dstackai/dstack) · observed Jul 24, 2026
- Last push (dstackai/dstack) · observed Jul 24, 2026
- License file (MPL-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (skypilot-org/skypilot) · observed Aug 7, 2026
- GitHub forks (skypilot-org/skypilot) · observed Aug 7, 2026
- Last push (skypilot-org/skypilot) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dstack 2.2k · skypilot 10k (synced Jul 24, 2026).
Common questions
- What is the difference between dstack and skypilot?
- dstack: Vendor-agnostic orchestration for AI workloads. skypilot: Run, manage, and scale AI workloads on any AI infrastructure.. See the comparison table for live GitHub stats and shared categories.
- When should I choose dstack over skypilot?
- Choose dstack over skypilot when License: dstack is MPL-2.0, skypilot is Apache-2.0; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent.
- When should I choose skypilot over dstack?
- Choose skypilot over dstack when License: skypilot is Apache-2.0, dstack is MPL-2.0; Pricing: SkyPilot operates under an open-source license (Apache-2.0) with core features available freely, while advanced optimizations and integrations may drive usage towards higher costs based on underlying云; Tags unique to skypilot: cloud-computing, cloud-management, cost-optimization, deep-learning; Also covers Developer Tools; skypilot ships Docker support for self-hosted deployment; When you need to manage multiple cloud resources including Kubernetes clusters, Slurm, and over 20 different clouds along with on-premise servers.
- When should I avoid dstack?
- When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0)
- When should I avoid skypilot?
- Avoid SkyPilot if you are working exclusively on a single cloud platform without a need for multi-cloud resource management or optimization. Not recommended if your primary requirement is a specialized training algorithm that lacks support within the Python environment or the limitations of existing SkyPilot capabilities.
- Is dstack or skypilot more popular on GitHub?
- skypilot has more GitHub stars (10,456 vs 2,192). Stars measure visibility, not whether either tool fits your constraints.
- Are dstack and skypilot open source?
- Yes - both are open-source projects on GitHub (dstack: MPL-2.0, skypilot: Apache-2.0).
- Where can I find alternatives to dstack or skypilot?
- GraphCanon lists graph-backed alternatives at dstack alternatives and skypilot alternatives (dstack markdown twin, skypilot markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dstack or skypilot?
- dstack: Very active. skypilot: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for dstack and skypilot?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; skypilot trust report.