AI-Code-Performance-Analyzer

Overview

A Streamlit-based tool for analyzing Python code performance, identifying potential bottlenecks, and providing optimization suggestions.

Features

Upload Python files or paste code directly Detect nested loop complexities Identify inefficient string operations Analyze memory usage Profile execution time Provide optimization suggestions

Setup & Installation

Prerequisites

• Python 3.8+
• pip

Installation Steps

1. Clone the repository

   git clone https://github.com/yourusername/performance-analyzer.git
   
   cd performance-analyzer
   

2. Create a virtual environment

       python -m venv venv
   
       source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   

3. Install dependencies

        pip install -r requirements.txt
   

4. Run the Streamlit app

    streamlit run performance_analyzer.py
   

Usage

1. Choose between pasting code or uploading a Python file
2. Click "Analyze Performance"
3. Review bottlenecks, memory usage, and execution profile

Limitations

• Experimental performance detection
• Primarily static code analysis
• May not catch all performance issues

Contributing

Contributions are welcome! Please open an issue or submit a pull request.