--- title: "ArtiVC vs dvc" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/infuseai-artivc-vs-treeverse-dvc" tools: ["infuseai-artivc", "treeverse-dvc"] --- # ArtiVC vs dvc *GraphCanon updated Aug 3, 2026* ## Verdict Pick ArtiVC if a CLI tool focused on data versioning across multiple cloud storage solutions; pick dvc if dVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. [ArtiVC](https://artivc.io) reports 312 GitHub stars, 15 forks, and 12 open issues, last pushed Jul 20, 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 [ArtiVC's repository](https://github.com/InfuseAI/ArtiVC) and [dvc's repository](https://github.com/treeverse/dvc). | | [ArtiVC](/tools/infuseai-artivc.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Tagline | A CLI tool for data versioning on cloud storage | Data Versioning and ML Experiments | | Stars | 312 | 15,787 | | Forks | 15 | 1,320 | | Open issues | 12 | 196 | | Language | Go | Python | | Adopt for | A CLI tool focused on data versioning across multiple cloud storage solutions. | 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 | Data & Retrieval | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ArtiVC](/tools/infuseai-artivc.md) | [dvc](/tools/treeverse-dvc.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 14d | 3d | | Open issues (now) | 12 | 196 | | Full report | [trust report](/tools/infuseai-artivc/trust.md) | [trust report](/tools/treeverse-dvc/trust.md) | ## Decision facts: ArtiVC - **Pricing:** freemium - **Requirements:** Min 1 GB RAM - **Adopt for:** A CLI tool focused on data versioning across multiple cloud storage solutions. - **License detail:** Apache-2.0 ## 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 ArtiVC if… - ArtiVC is primarily Go; dvc is Python. - Requirements: Min 1 GB RAM. - Tags unique to ArtiVC: cloud-storage, command-line, data-versioning, version control. - When you need to efficiently manage and version large datasets stored in AWS S3, Google Cloud Storage, Azure Blob Storage, or over SSH. ### Choose dvc if… - dvc is primarily Python; ArtiVC is Go. - Tags unique to dvc: ai, data-science, machine-learning, reproducibility. - Also covers Developer Tools. - Need to manage large datasets while only syncing version information with Git ## When NOT to use ArtiVC - ArtiVC might not be suitable if your primary concern is the versioning of code rather than large datasets, as it lacks features specific to software version control. - Avoid using ArtiVC if you require a GUI interface for data management since it is exclusively designed as a command-line tool. ## 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 ArtiVC and dvc? ArtiVC: A CLI tool for data versioning on cloud storage. dvc: Data Versioning and ML Experiments. See the comparison table for live GitHub stats and shared categories. ### When should I choose ArtiVC over dvc? Choose ArtiVC over dvc when ArtiVC is primarily Go; dvc is Python; Requirements: Min 1 GB RAM; Tags unique to ArtiVC: cloud-storage, command-line, data-versioning, version control; When you need to efficiently manage and version large datasets stored in AWS S3, Google Cloud Storage, Azure Blob Storage, or over SSH. ### When should I choose dvc over ArtiVC? Choose dvc over ArtiVC when dvc is primarily Python; ArtiVC is Go; Tags unique to dvc: ai, data-science, machine-learning, reproducibility; Also covers Developer Tools; Need to manage large datasets while only syncing version information with Git. ### When should I avoid ArtiVC? ArtiVC might not be suitable if your primary concern is the versioning of code rather than large datasets, as it lacks features specific to software version control. Avoid using ArtiVC if you require a GUI interface for data management since it is exclusively designed as a command-line tool. ### 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 ArtiVC or dvc more popular on GitHub? dvc has more GitHub stars (15,787 vs 312). Stars measure visibility, not whether either tool fits your constraints. ### Are ArtiVC and dvc open source? Yes - both are open-source projects on GitHub (ArtiVC: Apache-2.0, dvc: Apache-2.0). ### Where can I find alternatives to ArtiVC or dvc? GraphCanon lists graph-backed alternatives at [ArtiVC alternatives](/tools/infuseai-artivc/alternatives) and [dvc alternatives](/tools/treeverse-dvc/alternatives) ([ArtiVC markdown twin](/tools/infuseai-artivc/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/infuseai-artivc-vs-treeverse-dvc.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ArtiVC or dvc? ArtiVC: 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 ArtiVC and dvc? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ArtiVC trust report](/tools/infuseai-artivc/trust); [dvc trust report](/tools/treeverse-dvc/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=infuseai-artivc`](/api/graphcanon/graph?tool=infuseai-artivc) - 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/_