Welcome to the Python Manager wiki! This documentation provides comprehensive information about installing, configuring, and using Python Manager to manage your Python scripts.

• Installation Guide - Step-by-step installation instructions
• Quick Start - Get up and running in 5 minutes
• Configuration - Understanding config.json and settings

• Web Interface Guide - Using the dashboard
• API Reference - REST API endpoints and examples
• CLI Usage - Command-line interface options
• Managing Scripts - Adding and configuring scripts

• Auto-Restart Configuration - Setting up automatic restarts
• Logging System - Log rotation and management
• WebSocket Events - Real-time updates
• Security Best Practices - Securing your installation

• Architecture Overview - System design and components
• Contributing Guide - How to contribute
• Plugin Development - Extending Python Manager
• Troubleshooting - Common issues and solutions

• Production Deployment - Deploying to production
• Docker Setup - Running in containers
• Nginx Configuration - Reverse proxy setup
• Systemd Service - Running as a system service

Python Manager is a web-based tool designed to simplify the management of multiple Python scripts. It provides:

• Centralized Control: Start, stop, and restart scripts from one interface
• Real-time Monitoring: Track CPU and memory usage
• Automatic Recovery: Configure scripts to restart on failure
• Comprehensive Logging: View and manage logs for all scripts
• REST API: Programmatic control via HTTP endpoints
• WebSocket Support: Real-time status updates

• Microservices Management: Manage multiple service components
• Data Pipeline Orchestration: Control ETL processes
• Background Job Processing: Monitor worker scripts
• System Monitoring: Run and manage monitoring scripts
• Development Environment: Quickly start/stop development services

• Start/stop/restart individual scripts
• Bulk operations for multiple scripts
• Process status monitoring
• PID tracking and management

• Real-time CPU usage
• Memory consumption tracking
• Thread count monitoring
• Resource limit enforcement

• Centralized log collection
• Automatic log rotation
• Log viewer with filtering
• Log download capabilities

• JSON-based configuration
• Hot-reload capabilities
• Per-script settings
• Global manager settings

• Python 3.7 or higher
• pip (Python package manager)
• Modern web browser
• Operating System: Windows, Linux, or macOS

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Examples: Check the scripts/ directory for example scripts

Python Manager is released under the MIT License.

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Last updated: June 2025`