Everything you need to manage
multimodal AI data & models
multimodal AI data & models
Curate and annotate multimodal datasets, track experiments, and manage models on a single platform. Transform petabytes of vision, audio, and LLM data into golden datasets to improve your AI models.
Individual
$0 per user/month
$0 per user/month
Individuals building small AI applications.
Start Free
What’s included?
- Unlimited public repositories with unlimited collaborators
- Unlimited private repositories for non-commercial use
- Unlimited experiment tracking for public repositories
- Up to 100 tracked experiments in private repositories
- Up to 2 collaborators in private projects
- 20GB of DagsHub Storage
- Data versioning and lineage
- Annotations workspace for public repositories
- Notebook versioning & diffing
- CI/CD/CT integration
- Interactive pipelines
- Community support
Team
$119 per user/month
$99 per user/month
Production applications with the power to scale.
Started a 14-day free trial
What’s included?
Everything in Individual, plus:
- Unlimited private repositories
- Multimodal annotation and auto-labeling
- Connect your own storage
- Label Studio compatible
- Team RBAC
- DagsHub priority support
- Up to 50GB of data
- Up to 1TB of data or up to 2 million files
Enterprise
Custom quote
AI applications running high scale workloads.
Contact Us
What’s included?
Everything in Team, plus:
- Petabyte-scale data management
- Deploy models to your cluster
- Full VPC/Air-gapped on-premise installation
- SSO/LDAP/OIDC RBAC
- OpenShift compatible
- Organizational resource control
- Enterprise SLA & support
These AI teams manage their multimodal data with DagsHub
Curate and annotate to create the very best multimodal datasets
Connect multiple data sources and enrich, query, visualize, and annotate your multimodal datasets.
Keep track of all your experiments and compare results
Track your experiment progress, understand trends, and compare results. Compatible with MLflow.
Manage your models and deployments in one place
Manage model versions and deploy easily to production. Create a full model lineage from model to source data.
Integrates easily with your ML stack
Use your favorite ML framework, build on open-source formats, and connect your secure cloud storage and MLOps tools. Easy integrations that fit right into your workflows.
Over 45,000 data scientists build AI with DagsHub
Since we started using DagsHub, we have been able to significantly reduce the time it takes to run experiments and manage models.
We’ve been using DagsHub for a long time to accelerate our experimentation and enhance our data management, and we can’t imagine working on ML projects without it.
DagsHub is designed perfectly for collaborative data science and allows you to share data and models easily with your team. Once you do one project you’ll have a hard time using anything else.
DagsHub has revolutionized our ability to manage and label data, allowing us to innovate and move quickly.