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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  • 4,000+
    Community members
  • 200+
    Open source contributors
  • 400+
    Companies
  • 8,000+
    Stars on GitHub

Built for ML researchers, practitioners, and managers

ML experiment tracking, visualization, and collaboration

DVC Studio performs your ML bookkeeping automatically, to provide your team easy and efficient knowledge sharing and collaboration.

Get quick access to important metrics across multiple projects. Visualize and compare ML models. Use GitHub/GitLab/BitBucket for ML teams, along with your own cloud and remote storage for your data and models.

Software engineering stack for ML teams

Apply proven best-practices across domains, and ensure optimum utilization of skills and resources.

Don’t reinvent the wheel. Use existing know-how of Git and CI/CD to keep your code, data and model connected at all times. DVC versions data and models right in Git repositories, and CML orchestrates resources in the cloud or Kubernetes.

Automation of your ML process

Iterate faster, and lower risks by transitioning to an intuitive no-code interface. Bridge the gap between data scientists, software engineers and managers, once and for all.

Mature ML teams reuse their code over and over again while tuning data and params. Iterate faster by transitioning to a no-code environment - use a visual UI to make and deploy changes instead of manually updating code each time.

On the roadmap

Keep an eye 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
    Get started
  • Teams is the best option for medium teams and organizations.
    • 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)