Collaboration for
Machine Learning Projects

Use the power of leading open-source tools DVC , CML and Git for seamless data and model management, experiment tracking, visualization and automation

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  • 4000+
    Community members
  • 200+
    OSS contributors
  • 1000+
    Companies using our tools
  • 9000+
    Stars on GitHub

Built for ML researchers, practitioners, and managers

We’re in close touch with our community and customers.
It helps us to deliver needful features and design comfortable UI.

Organize projects and manage teams

Organize and navigate through multiple ML projects with ease. In a few clicks, create teams, add team members, and invite them to experiment with you. Leave it to us (and Git) to figure out how to track all the changes that everyone is making.

Organize projects and manage teams

Visualize, collaborate, share

Visualize data, metrics and hyperparameters using metrics plots, trend charts and neat tabular presentations. Compare experiments and generate insights into how you can improve your models. Keep your views private or share them on the web.

Visualize, collaborate, share

Keep your code, data, and model connected all time

No more struggling to figure out which dataset was used with which version of your ML code to produce which model. With DVC, keep all your code, data and experiments connected. No separate tools or loggers needed to save your metrics and hyperparameters.

Keep your code, data, and model connected all time

Use power of Git to track and preserve your experiments

Every change that you make to your code, data or model is a Git commit - immutable, traceable and forever preserved. Use your favorite Git platform - Github, Gitlab or Bitbucket. Apply the skills you already use for tracking software code changes.

Use power of Git to track and preserve your experiments

Run CI/CD for your ML projects on cloud resources

CML is CI/CD for your ML projects. Using simple Github actions (or GitLab/Bitbucket CI/CD), run your ML experiments on AWS, Azure or GCP clouds. No databases, services or complex setup needed for orchestrating the cloud resources.

Run CI/CD for your ML projects on cloud resources

Be future ready

Watch out for new features around data catalogs for your ML data to facilitate data discoverability and security.

Ready to get started?

Plans and pricing

  • Free for individual contributors and small teams.
    • Online
    • Up to 5 collaborators
    • Unlimited repositories
  • Teams is the best option for organizations and medium teams.
    • Online and on-prem
    • 5+ collaborators
    • Unlimited repositories
    • Email support
  • Enterprise for a large teams collaboration with security requirements.Everything in Teams, plus:
    • Data compliance
    • SSO + advanced security
    • Access control
    • Premium support and SLA’s
    • Dedicated engineering support (ML)