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Workspaces and projects#

Workspace#

A workspace is a space inside Neptune where you can manage projects, people, and your subscription.

There are two types of workspace:

  • Individual
    • When you create an account, you are assigned an individual workspace with the same name as your username.
    • You can create an unlimited number of public and private projects.
    • You cannot invite other people to your individual workspace.
  • Team
    • Used for collaboration with other people.
    • You can invite as many people as you want to your team workspace.

You can be a member of multiple workspaces. For example:

  • Your individual workspace
  • A team workspace at work
  • A team workspace at the university
Tip for students

For academic purposes or Kaggle competitions, you can use the team workspace for free. Create a team workspace and claim non-profit/educational type of organization during setup.1

For details on team plans, check the pricing page on the Neptune website.

Project#

A project typically represents one machine learning task. A project can contain runs, models, model versions, and project-level metadata.

There are three types of project:

  • Private projects: Only people assigned to the project can see it.
  • Workspace projects: People with access to your workspace can also access these projects.
  • Public projects: Freely available to view by anyone on the internet.

To log runs or other data to a project, you need the full project name of the project: workspace-name/project-name. You can find and copy it in the project Settings → Properties section.

We recommend exporting it as an environment variable in your system, but you can also pass it via the code that initializes Neptune:

run = neptune.init_run(
    project="workspace-name/project-name",  # (1)!
)
  1. For example, if your workspace name is "ml-team" and project name is "classification": project="ml-team/classification"

Related

  1. We suggest you use your ".edu" or non-profit email for this type of account. ↩