--- title: "dstack vs dvc" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dstackai-dstack-vs-treeverse-dvc" tools: ["dstackai-dstack", "treeverse-dvc"] --- # dstack vs dvc *GraphCanon updated Aug 24, 2026* ## 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. [dstack](https://dstack.ai/docs) reports 2.2k GitHub stars, 250 forks, and 66 open issues, last pushed Aug 23, 2026. [dvc](https://dvc.org) has 16k stars, 1.3k forks, and 196 open issues, last pushed Jul 31, 2026. Figures are from public GitHub metadata via [dstack's repository](https://github.com/dstackai/dstack) and [dvc's repository](https://github.com/treeverse/dvc). | | [dstack](/tools/dstackai-dstack.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Tagline | Vendor-agnostic orchestration for AI workloads | Data Versioning and ML Experiments | | Stars | 2,219 | 15,787 | | Forks | 250 | 1,320 | | Open issues | 66 | 196 | | Language | Python | Python | | Adopt for | Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. | DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | AI Agents, Inference & Serving, Model Training | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dstack](/tools/dstackai-dstack.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 66 | 196 | | Stars delta | +27 (30d) | Unknown | | Open issues delta | +5 (30d) | Unknown | | Full report | [trust report](/tools/dstackai-dstack/trust.md) | [trust report](/tools/treeverse-dvc/trust.md) | ## Decision facts: dstack - **Adopt for:** Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal. ## Decision facts: dvc - **Adopt for:** DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. ## Choose when ### 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 ### 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 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 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 ## 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 2,219). 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](/tools/dstackai-dstack/alternatives) and [dvc alternatives](/tools/treeverse-dvc/alternatives) ([dstack markdown twin](/tools/dstackai-dstack/alternatives.md), [dvc markdown twin](/tools/treeverse-dvc/alternatives.md)), 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](/compare/dstackai-dstack-vs-treeverse-dvc.md) 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](/tools/dstackai-dstack/trust); [dvc trust report](/tools/treeverse-dvc/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dstackai-dstack`](/api/graphcanon/graph?tool=dstackai-dstack) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_