Collaboration for
Machine Learning Teams
Seamless data and model management, experiment tracking, visualization and automation, with
Sign up for free with
- 7,000+Community members
- 250Open source contributors
- 500+Companies
- 14,000+Stars on GitHub
Built for ML researchers, practitioners, and managers
Model Registry for Machine Learning
Use your Git repositories to build a model registry with model versioning, lineage, and lifecycle management.
Enable model organization and discovery across all your ML projects. Manage model lifecycle with Git, unifying ML projects with the best DevOps practices. Use your favorite interface - GUI, CLI or API.
ML experiment tracking, visualization, collaboration and automation using Git
Apply software engineering and DevOps best-practices to automate your ML bookkeeping and model training, enabling easy collaboration and faster iterations.
Track experiments, visualize metrics and compare models in real-time. Use existing know-how of Git and CI/CD to keep your code, data and model connected at all times. And iterate faster by transitioning to a no-code environment to run model training on your own cloud. Bridge the gap between data scientists, software engineers and managers, once and for all.
On the roadmap
Keep an eye out for new features around data catalogs to create, query and manage datasets of your unstructured data.
Plans and pricing
Free
$0
Free for small teams up to 2 members
- Unlimited repositories
- Up to 2 projects for a single private Git repository
- Integration with popular Git providers
- Integration with on-premises GitLab
- Sharing projects
- Running experiments
- Plots visualization
- Data-centric comparison of experiments
- Integration with common cloud providers
- Granular Access Control
- Authentication via popular Git providers and emails
- Model registry
- Cloud experiments NEW
- Live metrics NEW
Basic
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Collaboration on Machine Learning projects for teams of any size
Everything in Free plan, plus:
- Unlimited collaborators
- Unlimited projects for each Git repository
Enterprise
For a large teams collaboration with security requirements
Everything in Basic plan, plus:
- Priority support
- Onboarding
- Quarterly review of MLOps goals
- Flexible deployment (our VPC, your VPC, on-premises)
- Dedicated ML solution architect and professional services
We offer discounts to active DVC/CML teams, nonprofits, and educational institutions for Enterprise plan. Reach out to learn more.
Compare features
| Free | Basic | Enterprise | |
| Price | $0 | Loading... | Custom price * |
| Team members | Up to 2 per team | Purchased amount | Purchased amount |
| Hosting and installation | Free | Basic | Enterprise |
| Integration with GitLab.com, GitHub.com, Bitbucket.org | |||
| Integration with on-premises GitLab | |||
| Integration with on-premises GitHub and Bitbucket (requires on-premises Studio installation) | |||
| Flexible deployment (our VPC, your VPC, on-premises) | |||
| Features | Free | Basic | Enterprise |
| Number of Git repositories that can be connected | Unlimited | Unlimited | Unlimited |
| Number of projects that can be created from a single private Git repository | 2 | Unlimited | Unlimited |
| Sharing projects with teams/public | |||
| Live MetricsNEW | |||
| Plots visualisation | |||
| Data-centric comparison of experiments | |||
| Integration with common cloud providers including AWS, GCP, Azure and Kubernetes | |||
| Model Registry | |||
| Upcoming | |||
| Data Catalog for structured (csv, parquet) and unstructured (images, audio) datasoon | |||
| Security | Free | Basic | Enterprise |
| Granular Access Control (Read, Write, Admin) | |||
| Authentication via GitHub, GitLab and Bitbucket and email | |||
| Support | Free | Basic | Enterprise |
| Community support | |||
| Email support | |||
| Priority support | |||
| Dedicated ML solution architect and professional services |
Free
$0
up to 2
members
Basic
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Enterprise
custom price
Reach out to learn more.