Home/Compare/dstack vs ome

Comparison

dstack vs ome

Verdict

Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick ome if oME is a Kubernetes operator tailored for LLM serving and management, focusing on tasks such as GPU scheduling and model lifecycle control, compatible with SGLang, vLLM, TensorRT-LLM, and Triton.

Markdown twin · dstack alternatives · ome alternatives

GraphCanon updated 4w

dstack logo

dstack

dstackai/dstack

2.2kpushed Jul 24, 2026
vs
ome logo

ome

ome-projects/ome

482pushed Jul 25, 2026

Trust & integrity

Signaldstackome
Maintenance
Very active (0d since push)
As of 4w · github_public_v1
Very active (0d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Organization account
As of 4w · github_public_v1
Not a fork · Organization account
As of 4w · 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
ome
Kubernetes operator for LLM serving and management

Stars

dstack
2.2k
ome
482

Forks

dstack
240
ome
87

Open issues

dstack
61
ome
121

Language

dstack
Python
ome
Go

Adopt for

dstack
Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal.
ome
OME is a Kubernetes operator tailored for LLM serving and management, focusing on tasks such as GPU scheduling and model lifecycle control, compatible with SGLang, vLLM, TensorRT-LLM, and Triton.

Persona

dstack
-
ome
-

Runtime

dstack
-
ome
-

License

dstack
MPL-2.0
ome
Apache-2.0

Last pushed

dstack
Jul 24, 2026
ome
Jul 25, 2026

Categories

dstack
AI Agents, Inference & Serving, Model Training
ome
Inference & Serving

Trust and health

Open issues (now)

dstack
61
ome
121

Full report

Choose dstack if…

  • dstack is primarily Python; ome is Go.
  • License: dstack is MPL-2.0, ome is Apache-2.0.
  • Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
  • Also covers AI Agents, Model Training.
  • 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 ome if…

  • ome is primarily Go; dstack is Python.
  • License: ome is Apache-2.0, dstack is MPL-2.0.
  • Tags unique to ome: gpu-scheduling, kubernetes-operator, llm-inference, model-serving.
  • If you need robust GPU scheduling alongside LLM serving

When NOT to use ome

  • In environments where a language other than Go for the operator's implementation is preferred
  • When your infrastructure does not support or utilize Kubernetes for orchestration purposes

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dstack 2.2k · ome 482 (synced Jul 24, 2026).

Common questions

What is the difference between dstack and ome?
dstack: Vendor-agnostic orchestration for AI workloads. ome: Kubernetes operator for LLM serving and management. See the comparison table for live GitHub stats and shared categories.
When should I choose dstack over ome?
Choose dstack over ome when dstack is primarily Python; ome is Go; License: dstack is MPL-2.0, ome is Apache-2.0; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents, Model Training; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent.
When should I choose ome over dstack?
Choose ome over dstack when ome is primarily Go; dstack is Python; License: ome is Apache-2.0, dstack is MPL-2.0; Tags unique to ome: gpu-scheduling, kubernetes-operator, llm-inference, model-serving; If you need robust GPU scheduling alongside LLM serving.
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 ome?
In environments where a language other than Go for the operator's implementation is preferred When your infrastructure does not support or utilize Kubernetes for orchestration purposes
Is dstack or ome more popular on GitHub?
dstack has more GitHub stars (2,192 vs 482). Stars measure visibility, not whether either tool fits your constraints.
Are dstack and ome open source?
Yes - both are open-source projects on GitHub (dstack: MPL-2.0, ome: Apache-2.0).
Where can I find alternatives to dstack or ome?
GraphCanon lists graph-backed alternatives at dstack alternatives and ome alternatives (dstack markdown twin, ome 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 ome?
dstack: Very active. ome: 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 ome?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; ome trust report.

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