T

Alec e484bd6704 Fix line unpacking error in graph plotting

- Check plot() return values before accessing first element
- Handle cases where matplotlib returns None or empty results
- Fix total errors calculation in amounts graph
- Update both amounts and ratios graphs consistently
- Prevent 'cannot unpack none-iteralLine2D Object' error

2025-07-17 16:13:38 +02:00

.gitignore

Remove transfers.db from tracking and add .gitignore

2025-07-17 15:46:39 +02:00

README.md

Add interactive time series graphs with hover tooltips

2025-07-17 16:04:16 +02:00

slskd_stats_gui.py

Fix line unpacking error in graph plotting

2025-07-17 16:13:38 +02:00

README.md

slskd Transfer Statistics

A GUI tool to analyze upload and download statistics from your slskd transfers database.

Features

Analyzes uploads and downloads stored in the transfers.db database(s)
Automatically finds and combines data from multiple database files
Backwards compatible with both old and new database formats
Calculates total transfers, data transferred, and unique users
Shows average transfer speed and duration
Lists top users by data transferred
Shows statistics by file type
Filter statistics by time period (All time, Last month, Last year)
User-friendly graphical interface with summary and detailed tables

Requirements

Python 3.6+
SQLite3
PyQt5
matplotlib
mplcursors

Installation

Clone or download this repository to your local machine
Install dependencies: pip3 install PyQt5 matplotlib mplcursors
Place your transfers.db file in the same directory as the script, or use the file browser to select database files

Usage

# Launch the GUI application
python3 slskd_stats_gui.py

With the GUI, you can:

Select one or more database files using the file browser
Choose time period from dropdown (All time, Last month, Last year)
Set the number of top entries to display
View upload and download statistics side-by-side
See summary statistics and detailed tables for users and file types
NEW: Visual time series graphs showing transfer trends over time

Example Output

The GUI displays:

Summary sections showing total transfers, data transferred, unique users, average speeds, and error rates
Top Users tables showing users ranked by data transferred
Top File Types tables showing file extensions ranked by data transferred
Visual Stats tab with interactive time series graphs:
- Transfer amounts over time (uploads, downloads, errors, new users)
- Transfer ratios over time (speeds, error rates) with dynamic y-axes
- Interactive hover tooltips showing exact values and dates

Database Compatibility

This tool automatically detects and works with both:

Old format: Text-based State column
New format: Integer State + StateDescription columns

About

This tool is designed to work with the transfers.db SQLite database created by slskd, a Soulseek client daemon. It helps you understand your sharing patterns and track transfer statistics.

License

MIT