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Observability & EvaluationFine-tuning & Training
Weights & Biases
1Track 2and 3version 4machine 5learning 6experiments
the six Ws · specification
W1
Who
Maintained by Weights & Biases.
W2
What
Tracks experiments, models, and datasets for ML.
W3
Where
A Python SDK logging to the W&B platform.
W4
When
When training and comparing machine learning runs.
W5
Why
The de facto standard for experiment tracking.
W6
With
A W&B account and the Python SDK.
W7
Watch
Company-maintained; open-source SDK (MIT) backed by a hosted SaaS. Metrics and artifacts go to the W&B cloud by default unless you self-manage the server.
alternatives