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DagsHub vs MLflow Model Registry

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DagsHub

7.9#2 in model registry softwareFrom $99 a month
Free planWebAPILinuxmacOS
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What both publish

FactDagsHubMLflow Model Registry
IntegrationsDocumented integrations include GitHub, GitLab, Bitbucket, DVC, MLflow, Label Studio, Jenkins, Slack, Discord, New Relic and Amazon S3.MLflow says it integrates with 100+ tools, including LangChain, OpenAI, and PyTorch, and supports Python, TypeScript/JavaScript, Java, R, and OpenTelemetry.

DagsHub plans

  • IndividualFree
  • IndividualFree
  • Team$99 a month
  • Team$119 a month
  • EnterprisePriced on request

MLflow Model Registry plans

  • Open SourceFree

Pick DagsHub if…

DagsHub suits developers and teams managing machine-learning data, experiments, and models in one project workspace. It is a fit for users who can provide their own compute infrastructure.

Pick MLflow Model Registry if…

The registry suits solo data scientists as well as large machine-learning platform teams. It is relevant to teams that need model versioning, lineage, or deployment workflows.

Charts they share