Anonymous Mode

Log and visualize data without a W&B account

Are you writing a paper to submit to a conference? Use anonymous mode to let anyone run your code and get a Weights & Biases dashboard without creating an account.

wandb.init(anonymous="allow")

Example usage

Try the example notebook to see how anonymous mode works in action.

import wandb
import random
wandb.init(project="anon-demo",
anonymous="allow",
config={
"learning_rate": 0.1,
"batch_size": 128,
})
for step in range(30):
wandb.log({
"acc": random.random(),
"loss": random.random()
})