Introducing YouTube Watch History Metrics, a simple and easy tool for effortlessly analyzing your YouTube watch history data. With this platform, you can explore your favorite videos, channels, and average watch times in a breeze.
This platform is designed to be straightforward and easy to use. Simply upload your YouTube watch history data, and YouTube Watch History Metrics will handle the rest. As your data is processed in the background, you can sit back and relax, knowing that valuable insights are on the way.
Once the analysis is complete, you'll be presented with a clear and concise dashboard, allowing you to dive into your viewing habits with ease. Whether you're interested in discovering your top channels, exploring trending topics, or understanding your viewing patterns, YouTube Watch History Metrics has everything you need.
Experience the simplicity and convenience of YouTube Watch History Metrics today and gain valuable insights into your YouTube viewing behavior like never before. Start exploring your watch history with YouTube Watch History Metrics now!
This is a straightforward Python FastAPI web application that uses Jinja2 templates for rendering. The application utilizes HTMX to facilitate AJAX requests to the backend, enabling seamless swapping of HTML templates without full-page reloads. Styling is accomplished with Tailwind CSS, employing the DaisyUI plugin for enhanced design capabilities.
Follow these instructions to set up and run the project locally.
- Clone the repository:
git clone https://github.com/zodakzach/youtube-history-metrics.git
- Navigate to the backend directory:
cd backend
- Install Python dependencies:
pip install -r requirements.txt
- Navigate to the frontend directory:
cd ../frontend
- Install Node.js dependencies:
npm install
- Start the server:
npm start
- Navigate to http://127.0.0.1:8000 in your web browser.