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Realtime monitoring of Snakemake workflows

Project description

snkmt Logo

Overview

snkmt (Snakemate) works with the snakemake-logger-plugin-snkmt plugin to capture and store Snakemake workflow execution data in a SQLite database. This allows you to monitor workflow progress, view job statuses, and troubleshoot errors through an interactive terminal interface.

Note: This project is still under active development. Please report bugs, weird UI behavior, and feature requests - they are greatly appreciated!

How it Works

  1. The snakemake-logger-plugin-snkmt plugin captures workflow events during Snakemake execution
  2. Events are written to a local SQLite database
  3. snkmt provides tools to view and monitor this data through a terminal UI and CLI commands

Installation

Install via the logger plugin (recommended):

pip install snakemake-logger-plugin-snkmt

This will automatically install snkmt as a dependency.

Usage

Execute a Snakemake workflow

snakemake --logger snkmt ...

Interactive Console

Launch the real-time monitoring interface:

  • Tab / Shift+Tab: Navigate between interface elements
  • Enter: Select workflow rows or log files
  • Escape: Close modals/dialogs
  • q / Ctrl+C: Quit application
snkmt console

Options:

  • --db-path, -d: Specify custom database path

Database Commands

View database information:

snkmt db info [DB_PATH]

Migrate database to latest version:

snkmt db migrate [DB_PATH]

Configuration

By default, snkmt stores data in the XDG Base Directory specified user data directory. You can customize this location using the --db-path option or by configuring the logger plugin.

Screenshots

Main Dashboard

snkmt dashboard showing workflow list and details

Error Inspection

Error view showing failed jobs and log files Error view showing failed jobs and log files

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