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DagsHub vs DVCLive

Both stand on ml experiment tracking software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

DagsHub

Free plan APILinuxMac+3

DagsHub provides a shared workspace for machine-learning data and project lifecycle management, with curation and experiment tools. Its free tier has stated private-use limits, and compute must come from separate infrastructure.

Visit DagsHub

DVCLive

Free plan API

Choose DVCLive if you want a free Python library for recording and comparing machine learning runs within a Git and DVC workflow. Its framework integrations and pipeline use can support varied experiment setups. Plan your run paths carefully because each run overwrites prior results saved to the same location.

Visit DVCLive

The facts

DagsHubDVCLive
Free planYesYes
Open sourceNoNot published
Runs onAPI, Linux, Mac, Self-hosted, Web, WindowsAPI
Lowest paid planTeam: $99 per user a monthFree or on request
Plans published51
MakerNot publishedNot published
Websitedagshub.comdvc.org
On ml experiment tracking software#4 of 39#8 of 39

DagsHub: what it does well

  • Brings code, data, experiments, and models together.
  • Supports multimodal datasets including video and medical imaging.
  • Data Engine includes lineage and hard-example mining.
  • Provides MLflow and Label Studio API support.
  • Offers a free Individual plan.

What to know first

  • DagsHub does not provide compute resources.
  • Free private experiments are limited to 100.
  • Free storage is limited to 20GB.

DVCLive: what it does well

  • Logs parameters, metrics, artifacts, images, and plots.
  • Tracks experiments through Git and DVC without a central database.
  • Supports comparison of DVC experiments.
  • Can cache large artifacts and track their metadata in Git.
  • Optional monitoring records GPU, CPU, RAM, and disk usage.

What to know first

  • Latest version requires Python 3.9 or later.
  • Each run overwrites earlier results saved at the same path.
  • Some logging, reporting, and framework integrations require optional dependencies.

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