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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.
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wandb.init(anonymous="allow")
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Example usage

Try the example notebook to see how anonymous mode works in action.
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import wandb
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import random
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wandb.init(project="anon-demo",
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anonymous="allow",
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config={
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"learning_rate": 0.1,
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"batch_size": 128,
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})
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for step in range(30):
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wandb.log({
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"acc": random.random(),
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"loss": random.random()
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})
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Last modified 6mo ago
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