Sign up for a free account, then from the command line install the wandb library in a Python 3 environment. To login, you'll need to be signed in to you account at www.wandb.ai, then you will find your API key on the Authorize page.
pip install wandb
!pip install wandb
2. Start a new run
Initialize a new run in W&B in your Python script or notebook. wandb.init() will start tracking system metrics and console logs, right out of the box. Run your code, put in your API key when prompted, and you'll see the new run appear in W&B.
More about wandb.init() →
Get notified via Slack or email if your W&B Run has crashed or whether a custom trigger, such as your loss going to NaN or a step in your ML pipeline has completed, has been reached. See the Alerts docs for a full setup.
Private-Hosting: The enterprise solution for private cloud or on-prem hosting of W&B
Where do I find my API key?
Once you've signed in to www.wandb.ai, the API key will be on the Authorize page.
How do I use W&B in an automated environment?
If you are training models in an automated environment where it's inconvenient to run shell commands, such as Google's CloudML, you should look at our guide to configuration with Environment Variables.