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.