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DVCLive

Free#8 of 38 in ML Experiment Tracking SoftwareData Version Control Tools

DVCLive: A lightweight, free tracker for teams that prefer local files and open tooling. Ranked #8 of 38 in ML Experiment Tracking Software by our editors (8.1/10); pricing: Free plan; best for open-source teams needing lightweight tracking.

8.1/10Editor score
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DVCLive8.1 Visit DVCLive

At a glance

  • Editor score
    8.1 / 10
  • Pricing
    Free plan
  • Best for
    Open-source teams needing lightweight tracking
  • Free plan
    Yes
  • Paid from
    Free
  • Run comparison
    Yes
  • Founded
    2018
  • Facts checked
    21 Sep 2026
DVCLive screenshot

  • Where it wins

    • Logs metrics, parameters, plots, images, and model artifacts
    • Compares experiments through DVC CLI and DVC Studio
    • Integrates with major ML frameworks, including PyTorch and TensorFlow

  • Where it doesn't

    • Does not list verified model-registry features
    • Does not list verified dataset-versioning features
    • Platform coverage is not listed

Our verdict on DVCLive

DVCLive is an open-source Python library for recording machine-learning metrics, parameters, plots, images, and artifacts in simple file formats. It is aimed at developers and machine-learning teams that want experiment tracking without adopting a separate tracking server or service. Its free, open-source model suits teams that prefer local workflows, self-hosted deployment options, and integration with existing DVC-based processes.

The feature set covers the core record-keeping needs of experiment tracking: metrics, parameters, model and other artifacts, images, plots, summaries, and reports. DVCLive also supports experiment comparison with the DVC command line and live updates in DVC Studio. Framework integrations span Fast.ai, Hugging Face Accelerate, Hugging Face Transformers, Keras, LightGBM, MMCV, Optuna, PyTorch, PyTorch Lightning, PyTorch Lightning Fabric, Scikit-learn, TensorFlow, XGBoost, and Ultralytics YOLO v8. This breadth makes it a practical fit for teams working across common Python machine-learning frameworks.

The main trade-off is scope. DVCLive itself is a local logger, while experiment comparison and model-registry workflows may depend on DVC, DVC Studio, or related tools. Verified model-registry and dataset-versioning features are not listed, and platform coverage is not listed. Choose DVCLive if lightweight, open-source logging and DVC compatibility are central requirements. Teams that need a broader end-to-end governance layer, built-in model registry, or confirmed dataset-versioning workflow should consider a product focused on those capabilities instead.

Your product? Our editors can test DVCLive in depth and publish a review, labelled as paid · from $149/mo →

DVCLive pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on dvc.org

DVCLive fact sheet

Free planYes
Paid fromFree
Run comparisonYes
Artifact trackingYes
Dataset versioningNot verified
Model registryNot verified
Deployment optionsSelf_hosted
API and SDK accessYes
DeploymentSelf-hosted
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations14 integrations: Fast.ai, Hugging Face Accelerate, Hugging Face Transformers, Keras, LightGBM, MMCV …
PricingFree plan
Websitedvc.org
Facts checked21 Sep 2026

DVCLive integrations

DVCLive lists 14 integrations on its own site.

  • Fast.ai
  • Hugging Face Accelerate
  • Hugging Face Transformers
  • Keras
  • LightGBM
  • MMCV
  • Optuna
  • PyTorch
  • PyTorch Lightning
  • PyTorch Lightning Fabric
  • Scikit-learn
  • TensorFlow
  • XGBoost
  • Ultralytics YOLO v8

Alternatives to DVCLive

See all DVCLive alternatives →

DVCLive vs the competition

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Also Ranked In

DVCLive is ranked in 2 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — DVCLive 8.1/10

DVCLive is listed in our ML Experiment Tracking Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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