DagsHub
Free tierEverything you need to manage AI data & models in one platform
Free tier available·Technical·API available
Key strengths
Multimodal dataset curation and annotationExperiment tracking (MLflow compatible)Model management and versioningData versioning (DVC compatible)On-premise / VPC / air-gapped deployment support
Free tier + paid plans · from $99 USD/mo
Tel Aviv, Israel
Founded 2019
Self-hostable
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Recent changes
- Plans updated: Free individual plan ($0/user/month); Team plan at $99/user/month (yearly) or $119/user/month (monthly) with 14-day free trial; Enterprise at custom quote.
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DagsHub exposes an API for programmatic interaction with repositories, datasets, and model artifacts. Key integration points include:
- DVC – use DagsHub as a DVC remote for versioning large datasets and model files.
- MLflow – point your MLflow tracking URI at DagsHub to log and compare experiments without changing your existing MLflow code.
- Label Studio – connect annotation pipelines directly to DagsHub-managed datasets.
- HuggingFace Datasets – load and push datasets to/from DagsHub using the HuggingFace
datasetslibrary.
Deployment options include cloud-hosted (SaaS), on-premise, VPC, and air-gapped installations, making it suitable for regulated or security-sensitive ML workflows.
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