wandb-logger 0.1.0

A command-line tool for managing Weights & Biases (W&B) training logs

WandB Logger

A sleek CLI tool that transforms how you work with Weights & Biases. Create your training report in a single-line command!

WandB Logger App is a sleek command-line tool that transforms how you work with Weights & Biases. Create beautiful, shareable reports of your ML experiments in seconds.

🚀 Key Features

WandB Logger offers two powerful ways to quickly access your experiments:

🔍 Find Your Experiments Without URLs

No more searching for run URLs or project names! WandB Logger makes finding your experiments effortless:

# Browse your recent projects
wandb-logger recent

# Browse your recent runs across all projects
wandb-logger recent-runs

This dual approach lets you quickly navigate through your work at both the project and individual run level - a huge productivity boost!

✨ Features

• 🔐 Simple Authentication - Quick login with WandB credentials
• 📈 Beautiful Visualizations - Fetch stunning graphs from any WandB run
• 📝 Markdown Reports - Generate elegant reports for easy sharing and embedding
• ⚡ Lightning Fast - Parallel processing and caching make everything snappy
• 🧠 Smart Metric Handling - Intelligently organizes complex metric paths
• 🎯 Interactive Selection - Pick exactly which metrics matter to you

🚀 Installation

# Install from PyPI
pip install wandb-logger-app

# Or install from source
git clone https://github.com/yourusername/wandb-logger-app.git
cd wandb-logger-app
pip install -e .

🏁 Quick Start

# Login to your WandB account
wandb-logger login

# MAIN WORKFLOWS:

# 1. Browse your recent PROJECTS (find the project you're looking for)
wandb-logger recent

# 2. Browse your recent RUNS (find the specific run you need)
wandb-logger recent-runs

# 3. Once you have a run URL, fetch detailed metrics
wandb-logger fetch https://wandb.ai/username/project/runs/run_id --select

📖 Commands

Main Commands

Command	Description	When to use
recent	Browse and select from recent projects	When you remember the project name but not specific runs
recent-runs	Browse and select from recent runs	When you want to find a specific run without knowing its URL
fetch URL	Fetch details for a specific run URL	When you already have the run URL and want to analyze specific metrics

Options and Filters

Command	Key Options
recent	--limit (default: 10) --select (interactive selection)
recent-runs	--project (filter by project) --entity (filter by username/org) --max-projects (default: 3) --all-projects (fetch from all projects)
fetch URL	--select (enabled by default) --all (fetch all metrics without selection) --metrics (specify comma-separated metrics) --force-refresh (bypass cache)
metrics URL	--force-refresh (bypass cache)
cache	--clear (free disk space)

🎨 Interactive Metric Selection

The fetch command now defaults to interactive selection mode:

1. Default Mode (interactive selection):

# Opens an interactive menu to choose specific metrics
wandb-logger fetch https://wandb.ai/username/project/runs/run_id

2. All Metrics Mode (with --all):

# Fetches and plots ALL available metrics
wandb-logger fetch https://wandb.ai/username/project/runs/run_id --all

Select exactly what you want in your reports:

Available metrics:
1. [X] train/loss
2. [X] train/accuracy
3. [ ] validation/loss
4. [ ] validation/accuracy

Command (Type number to toggle, 'a'=all, 'n'=none, 'done'=finish):

📋 Example Workflows

Tracking a Training Run

# Login first
wandb-logger login

# Fetch your latest run and create a report
wandb-logger recent --limit 1 --select

Creating a Project Report

# Fetch multiple specific runs
wandb-logger fetch https://wandb.ai/username/project/runs/run_1
wandb-logger fetch https://wandb.ai/username/project/runs/run_2

# List your saved reports
wandb-logger list

🔍 Report Outputs

For each run, you'll get:

• <run_name>.md: Clean report with selected metrics and graphs
• metadata.md: Detailed configuration and all run information
• Graph PNGs: Individual visualizations for each metric

🚀 Performance Features

• ⚡ Caching: Blazing fast repeated access to run data
• ⚙️ Parallel Processing: Generates multiple graphs simultaneously
• 📊 Optimized Visualizations: Beautiful graphs with minimal code
• 🧠 Smart Organization: Automatic categorization of complex metrics

🛠️ Requirements

• Python 3.8+
• WandB account

⭐ Support

Like this project? Please give it a star on GitHub to show your support and help others discover it!