--- title: "dstack vs dvc" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dstack-tee-dstack-vs-treeverse-dvc" tools: ["dstack-tee-dstack", "treeverse-dvc"] --- # dstack vs dvc *GraphCanon updated Aug 3, 2026* ## Verdict Pick dstack if dstack offers infrastructure for running AI workloads in Trusted Execution Environments ensuring privacy and security; 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.org) reports 519 GitHub stars, 91 forks, and 178 open issues, last pushed Jul 31, 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/Dstack-TEE/dstack) and [dvc's repository](https://github.com/treeverse/dvc). | | [dstack](/tools/dstack-tee-dstack.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Tagline | Open framework for confidential AI | Data Versioning and ML Experiments | | Stars | 519 | 15,787 | | Forks | 91 | 1,320 | | Open issues | 178 | 196 | | Language | Rust | Python | | Adopt for | Dstack offers infrastructure for running AI workloads in Trusted Execution Environments ensuring privacy and security. | DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dstack](/tools/dstack-tee-dstack.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Days since push | 1d | 3d | | Open issues (now) | 178 | 196 | | Full report | [trust report](/tools/dstack-tee-dstack/trust.md) | [trust report](/tools/treeverse-dvc/trust.md) | ## Decision facts: dstack - **Adopt for:** Dstack offers infrastructure for running AI workloads in Trusted Execution Environments ensuring privacy and security. ## 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… - dstack is primarily Rust; dvc is Python. - Tags unique to dstack: confidential-ai, intel-tdx, private-ai, safe-ai. - When you need to run confidential AI computations that require Intel TDX or NVIDIA GPUs to ensure data and code are protected from potential threats at runtime ### Choose dvc if… - dvc is primarily Python; dstack is Rust. - Tags unique to dvc: ai, data-science, machine-learning, reproducibility. - Also covers Data & Retrieval. - Need to manage large datasets while only syncing version information with Git ## When NOT to use dstack - Avoid if your AI workloads do not benefit from confidential computing features as the overhead of using Intel TDX may not provide any advantage and can add complexity - Not suitable for hardware setups that do not support Intel TDX or AMD SEV-SNP, limiting flexibility compared to broader hardware support offered by competitors ## 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: Open framework for confidential AI. 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 dstack is primarily Rust; dvc is Python; Tags unique to dstack: confidential-ai, intel-tdx, private-ai, safe-ai; When you need to run confidential AI computations that require Intel TDX or NVIDIA GPUs to ensure data and code are protected from potential threats at runtime. ### When should I choose dvc over dstack? Choose dvc over dstack when dvc is primarily Python; dstack is Rust; Tags unique to dvc: ai, data-science, machine-learning, reproducibility; Also covers Data & Retrieval; Need to manage large datasets while only syncing version information with Git. ### When should I avoid dstack? Avoid if your AI workloads do not benefit from confidential computing features as the overhead of using Intel TDX may not provide any advantage and can add complexity Not suitable for hardware setups that do not support Intel TDX or AMD SEV-SNP, limiting flexibility compared to broader hardware support offered by competitors ### 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 519). 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: Apache-2.0, dvc: Apache-2.0). ### Where can I find alternatives to dstack or dvc? GraphCanon lists graph-backed alternatives at [dstack alternatives](/tools/dstack-tee-dstack/alternatives) and [dvc alternatives](/tools/treeverse-dvc/alternatives) ([dstack markdown twin](/tools/dstack-tee-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/dstack-tee-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/dstack-tee-dstack/trust); [dvc trust report](/tools/treeverse-dvc/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dstack-tee-dstack`](/api/graphcanon/graph?tool=dstack-tee-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/_