A modern, interactive GUI application built with PyQt5 and Matplotlib to simulate and analyze various page replacement algorithms used in operating systems. This tool allows users to input reference strings and frame sizes, visualize algorithm performance, and identify the most efficient scheduling strategy.

Features Supported Algorithms: FIFO, LRU, Optimal, Second Chance, and Clock Interactive GUI: Clean interface with real-time input validation Theme Support: Toggle between light and dark modes Visualization: Bar graph comparing page faults across algorithms Detailed Results: Tabular output with reference string and frame size information Progress Tracking: Visual progress bar during simulation Error Handling: User-friendly error messages for invalid inputs Prerequisites Python 3.7+ Required Python packages: PyQt5 NumPy Matplotlib

Input Data:

Reference String: Enter space-separated integers (e.g., 1 2 3 4 2 1 5) Frame Size: Enter a positive integer (default is 3 if left blank) Algorithm Selection: Choose "All Algorithms" or a specific algorithm from the dropdown Run Simulation: Click "Run Simulation" to process the input and view results.

View Results:

Detailed output appears in the text area Bar graph visualizes page faults for each algorithm Most efficient algorithm is highlighted

Toggle Theme: Check/uncheck "Dark Mode" to switch between light and dark themes.

Example Input:

Reference String: 7 0 1 2 0 3 0 4 2 1 0 3 Frame Size: 3 Algorithm: All Algorithms Output:

Table showing page faults for each algorithm Graph with bars colored according to the theme Highlighted "Optimal" algorithm as most efficient (if implemented)