treeverse/dvc
🦉 Data Versioning and ML Experiments
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Website • Docs • Blog • Tutorial • Related Technologies • How DVC works • VS Code Extension • Installation • Contributing • Community and Support Data Version Control or DVC is a command line tool and VS Code Extension to help you develop reproducible machine learning projects: #. Version your data and models. Store them in your cloud storage but keep their version info in your Git repo. #. Iterate fast with lightweight pipelines. When you make changes, only run the steps impacted by those changes. #. Track experiments in your local Git repo (no servers needed). #. Compare any data, code, parameters, model, or performance plots. #. Share experiments and automatically reproduce anyone's experiment. A common CLI workflow includes: +-----------------------------------+----------------------------------------------------------------------------------------------------+ +===================================+====================================================================================================+ +-----------------------------------+----------------------------------------------------------------------------------------------------+ +-----------------------------------+----------------------------------------------------------------------------------------------------+ +-----------------------------------+----------------------------------------------------------------------------------------------------+ +-----------------------------------+----------------------------------------------------------------------------------------------------+…
Read the full README ↗ · Preview checked 2026-10-27T19:15:46.918Z
Inside the original README — Document outline
- Quick start
- How DVC works
- VS Code Extension
- Installation
- Snapcraft (Linux)
- Chocolatey (Windows)
- Brew (mac OS)
- Anaconda (Any platform)
- PyPI (Python)
- Package (Platform-specific)
- Contributing
- Community and Support
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
🦉 Data Versioning and ML Experiments
Repository facts
- Owner
- treeverse
- Primary language
- Python
- Stars
- 15,954
- Forks
- 1,340
- Open issues + pull requests
- 229
- License
- Apache-2.0
- Archived
- No
- Default branch
- main
- Created
- 2017-03-04T08:16:33.000Z
- Last push
- 2026-10-26T19:14:52.000Z
Topics and intended use
Owner-supplied topics: ai, data-science, data-version-control, developer-tools, machine-learning, reproducibility, unstructured-data
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
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Source and freshness
Source: GitHub. Metadata observed 2026-11-01T12:19:46.836Z. Daily imports are snapshots, not real-time monitoring.
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