The Performance Analyzer is a web application that allows you to analyze performance metrics for various tasks, services, or applications. It combines the power of Django (for the backend) and Next.js (for the frontend) to provide a seamless user experience.
- View performance metrics in real-time.
- Compare historical data.
- Generate insightful reports.
- Collaborate with team members.
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Install Python and pip: Make sure you have Python 3.x installed. If not, download and install it from the official Python website.
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Navigate to the Virtual Environment:
cd <path to project folder>
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Activate the Virtual Environment: On Windows:
venv\Scripts\activate
On macOS/Linux:
source venv/bin/activate
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Install Dependencies:
pip install -r requirements.txt
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Run Migrations:
python manage.py migrate
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Start the Django Development Server:
python manage.py runserver
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Install Node.js and npm: Download and install Node.js from the official website.
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Navigate to the Frontend Directory:
cd frontend
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Install Dependencies:
npm install
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Start the Next.js Development Server:
npm run dev
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Backend (Django):
- Configure your database settings in
settings.py
. - Set up any additional Django apps or middleware as needed.
- Define your API endpoints and views.
- Configure your database settings in
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Frontend (Next.js):
- Customize the UI components in the
components
directory. - Define routes in
pages/index.js
. - Fetch data from the Django backend using API calls.
- Customize the UI components in the
Contributions are welcome! If you'd like to contribute to the Performance Analyzer, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Commit your changes.
- Submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.