Skip to content

Workspaces and projects#


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.


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 SettingsProperties 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"


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