Utility tool providing extended functionality for W&B (Weights & Biases)
Project description
wandb-util
A utility tool providing extended functionality for W&B (Weights & Biases).
Installation
pip install wandb-util
Features
run - Manage W&B runs
# List runs in a project
wandb-util -e <entity> -p <project> run list [--limit 10]
log - Manage W&B logs
# Display run summary metrics (filtered by prefix)
wandb-util -e <entity> -p <project> log metrics <run_id> [--prefix eval/]
# Show training history
wandb-util -e <entity> -p <project> log metrics <run_id> --history [--last 10]
# Filter by specific keys
wandb-util -e <entity> -p <project> log metrics <run_id> --keys loss,accuracy
# Display run output (stdout/stderr)
wandb-util -e <entity> -p <project> log output <run_id>
# Show only last N lines of output
wandb-util -e <entity> -p <project> log output <run_id> --tail 50
# Save output to file
wandb-util -e <entity> -p <project> log output <run_id> --output run.log
artifact - Manage W&B artifacts
# List artifacts for a run
wandb-util -e <entity> -p <project> artifact list <run_id>
# Download an artifact
wandb-util -e <entity> -p <project> artifact download <artifact_path>
Global Options
-e, --entity TEXT- W&B entity (username or team). Defaults to the entity inferred from~/.netrccredentials-p, --project TEXT- W&B project name [required]
Authentication
wandb-util automatically reads API credentials from ~/.netrc:
machine api.wandb.ai
login user
password <your_api_token>
License
MIT
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