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DagsHub
dagshub.comSummary
DagsHub is an MLOps platform that provides a unified environment for managing the entire lifecycle of machine learning projects. It offers tools for data curation, annotation, experiment tracking, model management, and collaboration, supporting various multimodal data types and integrating with popular ML frameworks.
Feature Matches4/13
See all4/13
Must Have
3 of 5
API Access
Fine-Tuning & Custom Models
Enterprise Solutions
Conversational AI
Safety & Alignment Framework
Other
1 of 8
Multimodal AI
Image Generation
Code Generation
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allTiered
Individual
$0.00 per user
- 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
- Limited storage
- Limited collaborators
- Private repositories for non-commercial use only
Team
$119.00 per user
- 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 1TB of data or up to 2 million files
Enterprise
Custom
- 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
Rationale
DagsHub is an MLOps platform that helps manage the lifecycle of AI models, particularly focusing on multimodal data. While it doesn't directly offer conversational AI or generative models like OpenAI, it provides the infrastructure for developers and enterprises to build, manage, and deploy their own AI models. It offers API access for integration, supports fine-tuning and custom models through its data and experiment management features, and has a dedicated enterprise solution with advanced security and deployment options. The platform explicitly mentions managing 'multimodal AI' data and models.
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Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
It handles edge cases much better and the API is actually documented properly.
Check it out at our site.
[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Jan 28·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Jan 25·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.