Weights & Biases

Track machine learning experiments, visualize metrics, and share results

Weights & Biases helps you keep track of your machine learning projects. Use our tool to log hyperparameters and output metrics from your runs, then visualize and compare results and quickly share findings with your colleagues.

Our tools work with your machine learning infrastructure: AWS, GCP, Kubernetes, Azure, and on-prem machines.


  1. Dashboard: Track experiments, visualize results

  2. Reports: Save and share reproducible findings

  3. Sweeps: Optimize models with hyperparameter tuning

  4. Artifacts: Dataset and model versioning, pipeline tracking

Getting Started

Easily add our Python library wandb to your machine learning script.

Here's a sample screenshot from a Species Identification project in W&B.


If you're interested in example projects, we have a few resources: