Home/Compare/dstack vs dvc

Comparison

dstack vs dvc

Verdict

Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick dvc if dVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing.

Markdown twin · dstack alternatives · dvc alternatives

GraphCanon updated 2w

dstack logo

dstack

dstackai/dstack

2.2kpushed Jul 24, 2026
vs
dvc logo

dvc

treeverse/dvc

16kpushed Jul 31, 2026

Trust & integrity

Signaldstackdvc
Maintenance
Very active (0d since push)
As of 4w · github_public_v1
Very active (3d 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
dvc
Data Versioning and ML Experiments

Stars

dstack
2.2k
dvc
16k

Forks

dstack
240
dvc
1.3k

Open issues

dstack
61
dvc
196

Language

dstack
Python
dvc
Python

Adopt for

dstack
Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal.
dvc
DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing.

Persona

dstack
-
dvc
-

Runtime

dstack
-
dvc
-

License

dstack
MPL-2.0
dvc
Apache-2.0

Last pushed

dstack
Jul 24, 2026
dvc
Jul 31, 2026

Categories

dstack
AI Agents, Inference & Serving, Model Training
dvc
Data & Retrieval, Developer Tools

Trust and health

Days since push

dstack
0d
dvc
3d

Open issues (now)

dstack
61
dvc
196

Full report

Choose dstack if…

  • License: dstack is MPL-2.0, dvc is Apache-2.0.
  • Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
  • Also covers AI Agents, Inference & Serving, 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 dvc if…

  • License: dvc is Apache-2.0, dstack is MPL-2.0.
  • Tags unique to dvc: ai, data-science, machine-learning, reproducibility.
  • Also covers Data & Retrieval, Developer Tools.
  • Need to manage large datasets while only syncing version information with Git

When NOT to use dvc

  • Looking for a GUI-focused tool for data versioning and analysis
  • Require full cloud orchestration services beyond basic DVCS capabilities
  • Project focuses on traditional software development with no ML involvement

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 · dvc 16k (synced Jul 24, 2026).

Common questions

What is the difference between dstack and dvc?
dstack: Vendor-agnostic orchestration for AI workloads. dvc: Data Versioning and ML Experiments. See the comparison table for live GitHub stats and shared categories.
When should I choose dstack over dvc?
Choose dstack over dvc when License: dstack is MPL-2.0, dvc is Apache-2.0; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents, Inference & Serving, Model Training; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent.
When should I choose dvc over dstack?
Choose dvc over dstack when License: dvc is Apache-2.0, dstack is MPL-2.0; Tags unique to dvc: ai, data-science, machine-learning, reproducibility; Also covers Data & Retrieval, Developer Tools; Need to manage large datasets while only syncing version information with Git.
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 dvc?
Looking for a GUI-focused tool for data versioning and analysis Require full cloud orchestration services beyond basic DVCS capabilities Project focuses on traditional software development with no ML involvement
Is dstack or dvc more popular on GitHub?
dvc has more GitHub stars (15,787 vs 2,192). Stars measure visibility, not whether either tool fits your constraints.
Are dstack and dvc open source?
Yes - both are open-source projects on GitHub (dstack: MPL-2.0, dvc: Apache-2.0).
Where can I find alternatives to dstack or dvc?
GraphCanon lists graph-backed alternatives at dstack alternatives and dvc alternatives (dstack markdown twin, dvc 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 dvc?
dstack: Very active. dvc: 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 dvc?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; dvc trust report.

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