Kili Technology provides annotation tools for building datasets to train, fine-tune, and evaluate AI models.
DagsHub
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
About DagsHub
DagsHub is a web platform for managing multimodal AI data and models. It supports curation and annotation of vision, audio, and LLM datasets, experiment tracking with result comparison, and model version management with lineage to source data.
It connects to multiple data sources and works with existing ML frameworks, open-source formats, and cloud storage tools. Experiment tracking is compatible with MLflow. Limits vary by plan, including 20GB of storage, up to 100 tracked experiments in private repositories, and up to 2 collaborators in private projects on the Individual tier, and up to 1TB of data or 2 million files on the Team tier.
Key features
- Curate and annotate vision, audio, and LLM datasets
- Track experiments and compare results with MLflow compatibility
- Manage model versions with lineage to source data
- Connect multiple data sources and query and visualize datasets
- Version data and notebooks with diffing and lineage
- Deploy models to own cluster on Enterprise plan
Best for: Teams developing vision, audio, or LLM models that need shared dataset curation, experiment tracking, and model management.
Good for
- Combines dataset curation, experiment tracking, and model management in one platform
- Works with existing ML frameworks, open-source formats, and cloud storage connections
- Offers on-premise and VPC deployment options on Enterprise plan
Watch out for
- Individual tier limits private repositories to 100 tracked experiments and 2 collaborators
- Individual tier includes 20GB of DagsHub Storage
- Private repositories on Individual tier are for non-commercial use
DagsHub at a glance
- Website
- dagshub.com
- Type
- Online tool
- Pricing
- Free trial
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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DagsHub FAQ
Is DagsHub compatible with MLflow?
Yes, its experiment tracking is described as compatible with MLflow.
Can I use my own storage with DagsHub?
Yes, connecting your own storage is listed as included in the Team plan and above.
Does DagsHub support on-premise deployment?
Yes, the Enterprise plan offers full VPC and air-gapped on-premise installation.
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