dvc and dvclive

DVCLive is a logging library that integrates with DVC for tracking ML metrics, parameters, and models, making it a complement that extends the capabilities of DVC for experiment tracking.

dvc
85
Verified
dvclive
60
Established
Maintenance 16/25
Adoption 25/25
Maturity 25/25
Community 19/25
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 15,443
Forks: 1,282
Downloads: 2,111,672
Commits (30d): 5
Language: Python
License: Apache-2.0
Stars: 189
Forks: 39
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No Package No Dependents

About dvc

treeverse/dvc

🦉 Data Versioning and ML Experiments

Builds reproducible ML pipelines as directed acyclic graphs (DAGs) that track code, data, and hyperparameters in Git while storing large artifacts in cloud/remote storage with content-addressable caching. Integrates with S3, Azure, GCS, SSH and other remotes; experiment runs are compared locally without external servers, enabling full Git-based collaboration and lineage tracking.

About dvclive

treeverse/dvclive

📈 Log and track ML metrics, parameters, models with Git and/or DVC

Scores updated daily from GitHub, PyPI, and npm data. How scores work