https://github.com/srp4214/algo-scheduler

Algo-Schedular is an interactive web application built with Python and Streamlit to visualize and simulate CPU scheduling algorithms, including: First-Come, First-Served (FCFS) Shortest Job First (SJF) Round Robin (RR) Shortest Remaining Time First (SRTF) Features: Dynamic Gantt chart visualization and tabular repesentation.
https://github.com/srp4214/algo-scheduler

matplotlib os pandas python scheduling-algorithms streamlit

Last synced: 5 days ago
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Algo-Schedular is an interactive web application built with Python and Streamlit to visualize and simulate CPU scheduling algorithms, including: First-Come, First-Served (FCFS) Shortest Job First (SJF) Round Robin (RR) Shortest Remaining Time First (SRTF) Features: Dynamic Gantt chart visualization and tabular repesentation.

• Host: GitHub
• URL: https://github.com/srp4214/algo-scheduler
• Owner: SRP4214
• Created: 2024-06-08T16:33:21.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-01-25T08:51:42.000Z (18 days ago)
• Last Synced: 2025-01-25T09:23:05.221Z (18 days ago)
• Topics: matplotlib, os, pandas, python, scheduling-algorithms, streamlit
• Language: Python
• Homepage:
• Size: 2.93 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AlgoSchedular

AlgoSchedular is an interactive web application built with Python and Streamlit to simulate and visualize various CPU scheduling algorithms. It provides a user-friendly interface and detailed visualizations to help users understand and analyze scheduling processes effectively.

## Features

- **Supported Algorithms**:

  - First-Come, First-Served (FCFS)

  - Shortest Job First (SJF)

  - Round Robin (RR)

  - Shortest Remaining Time First (SRTF)

- **Gantt Chart Visualization**:

  - Dynamic Gantt chart generation for process execution.

- **Performance Metrics**:

  - Displays calculations for Turnaround Time, Waiting Time, and Response Time.

- **User-Friendly Interface**:

  - Easily input process details like Arrival Time and Burst Time.

## Installation

1. Clone the repository:

   ```bash

   git clone https://github.com/yourusername/AlgoSchedular.git

   ```

2. Navigate to the project directory:

   ```bash

   cd AlgoSchedular

   ```

3. Install the required dependencies.

## Usage

Run the Streamlit application:

   ```bash

   streamlit run app.py

   ```

## Image 1(inputs)

![image_1](https://github.com/SRP4214/Algo-Scheduler/blob/main/img1.png)

## Image 2(output)

![image_2](https://github.com/SRP4214/Algo-Scheduler/blob/main/img2.png)