Critical Success Factors for Data Science Teamwork
Read cases in which collaboration and data science teamwork isn’t just optional but necessary, and how to do it right.
Quickly reuse, build and share projects -
track experiments, visualize pipelines, store and version anything.
Automatic workflows. Integrated Git, DVC & MLflow. Open core.
Start by forking or pushing an existing project, or start a new one from a template
Models, data, code, experiments & more are automatically combined into a single interface
Add collaborators or contribute back to open source data science projects
You're collaborating with a large or growing team of data scientists
You want to work with the best of breed open source tools
You need automation for data versioning or rapid iteration
You're working with large or changing data for your project
Git is your go to tool for versioning
You’re a contributor and believe in the power of teams