🧮 Linear Programming Solver with Simplex Algorithm (Streamlit App)

Click here to see the app

An application for solving Linear Programming (LP) problems using the Simplex algorithm, built with Streamlit.

💯 Features

• Input objective function in natural form: Max 3x + 2y or Min 5x + 4y
• Easily input constraints: 2x + 3y ≤ 10, x + y ≤ 6
• Supports variable bounds: x ≥ 0, y ≥ 0
• Automatically detects:
  • Infeasible problems
  • Unbounded problems
  • Optimal solutions (if exist)
• Displays all steps of the Simplex method (Phase I and Phase II)
• Plots:
  • 2D feasible region
  • 3D objective plane visualization
• User-friendly web interface powered by Streamlit

🛠️

Install library

pip install streamlit matplotlib numpy scipy

Run local

streamlit run app.py

🚀

Deploy on Git

git init
git remote add origin https://github.com/yourusername/your-repo.git
git add .
git commit -m "Initial commit"
git push -u origin master

Deploy on Streamlit

Make sure to have a file named requirements.txt in your project directory with nessary dependencies.

Visit https://streamlit.io/cloud and click on Free Deploy to deploy your app with Github.

⚠️

With Free Version, the app will be slept after 1 hour if you don't use it. But don't worry, you can wake him up anytime by clicking the button and it could take up 30 secs.