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.

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.

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.

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.

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.