Getting started

1. Sign up at neptune.ai/register .

2. Create a project.

3. Install the Neptune client library:

   pip install -U neptune
   

4. Set your Neptune API token to the NEPTUNE_API_TOKEN environment variable.

   

   export NEPTUNE_API_TOKEN="uyVrZXkiOiIzNTd0Zj..ifQ=="
   

5. Set the name of your Neptune project to the NEPTUNE_PROJECT environment variable.

   You can copy the full name in your project's Edit project details menu.

   

   export NEPTUNE_PROJECT="workspace-name/project-name"
   

For more detailed instructions, see the pages in the left menu.

All set

You can now import Neptune in your code and start logging.

import neptune

run = neptune.init_run()

run["my/namespace/structure"] = some_metadata

Neptune also integrates directly with the most popular ML frameworks. Instead of manual logging, you can use the integrations to log typical metadata. For more, see Integrations

Next steps:

• Do the Quickstart to run a basic logging example.
• See Add Neptune to your code for beginner tips.
• View how-to guides and examples of Using Neptune
• See our tutorials for different ML Use cases