Weights and Biases Has a Free API: Track ML Experiments Like a Pro

What is Weights and Biases? Weights and Biases (W&B) is the most popular ML experiment tracking platform. It automatically logs your model training metrics, hyperparameters, code, and artifacts — giving you a complete, reproducible history of every experiment. Why W&B? Free forever — unlimited experiments for individuals and academics Automatic logging — 2 lines of code to track everything Beautiful dashboards — interactive charts with zero config Artifact versioning — track datasets, models, and pipelines Sweeps — automated hyperparameter optimization LLM monitoring — track prompts, completions, costs for AI apps Quick Start pip install wandb wandb login # Free at wandb.ai import wandb # Initialize experiment run = wandb . init ( project = " my-ml-project " , config = { " learning_rate " : 0.001 , " epochs " : 50 , " batch_size " : 32 , " architecture " : " ResNet50 " , " dataset " : " CIFAR-10 " } ) # Training loop — log metrics for epoch in range ( 50 ): train_loss = train ( model )