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System Monitoring and Analysis Tool

Overview

This project is a Python-based system monitoring and analysis tool designed to track and log the CPU, memory, and disk usage of your computer. The tool provides real-time usage statistics, logs data to a CSV file, and offers recommendations based on system performance. It also includes data visualization capabilities for analyzing historical usage trends.

Features

  • Real-Time Monitoring: Captures CPU, memory, and disk usage statistics every second.
  • Data Logging: Logs usage data to a CSV file for historical analysis.
  • Data Analysis: Analyzes logged data and generates plots to visualize CPU, memory, and disk usage over time.
  • Recommendations: Provides suggestions for optimizing system performance based on current usage metrics.

Installation

  1. Clone the Repository

    git clone https://github.com/nomadsdev/sys-monInsight.git 
cd sys-monInsight

  2. Install Dependencies

    Ensure you have Python 3.x installed. Then install the required Python packages using pip:

    pip install psutil pandas matplotlib

Usage

  1. Run the Monitoring Script

    Execute the monitoring script to start logging system usage data:

    python main.py

    The script will log data to system_usage_log.csv and print real-time statistics and recommendations to the console.

  2. Analyze Data

    To visualize the logged data, run the following script:

    python main.py

    This script will read the system_usage_log.csv file and generate plots for CPU, memory, and disk usage over time.

Scripts

main.py

  • Function: Collects system usage data and logs it to a CSV file.
  • Functions:
    • get_cpu_usage(): Retrieves the current CPU usage percentage.
    • get_memory_usage(): Retrieves current memory usage statistics.
    • get_disk_usage(): Retrieves current disk usage statistics.
    • log_usage_to_csv(): Logs the collected data to system_usage_log.csv.
    • provide_recommendations(): Provides recommendations based on system usage.

analyze.py

  • Function: Analyzes and visualizes the logged system usage data.
  • Functions:
    • analyze_data(file_path): Loads data from a CSV file and generates usage plots.

File Structure

  • monitor.py: Script for monitoring and logging system usage.
  • analyze.py: Script for analyzing and visualizing logged data.
  • system_usage_log.csv: CSV file where usage data is logged.
  • README.md: This documentation file.

Recommendations

  • High CPU Usage: Consider upgrading your CPU or optimizing applications.
  • High Memory Usage: Consider adding more RAM or closing unnecessary applications.
  • High Disk Usage: Consider cleaning up or expanding disk space.

License

This project is licensed under the MIT License.