Premium Habit Tracker

A modern, dark-themed habit tracking web application built with Python (Flask) and JavaScript. Track your daily progress with streaks and interactive charts.

📸 Screenshots

Modern, responsive, and data-driven dashboard.

✨ Features

• Daily Tracking: Mark habits as complete with a single click.
• Streaks: Automatic calculation of current habit streaks.
• Visual Analytics: Interactive 7-day progress charts for every habit.
• Premium Design: Dark mode aesthetic with glassmorphism effects and responsive layout.
• Cross-Platform Database Support:
  • Local: Uses SQLite for simple development.
  • Production: Supports PostgreSQL (e.g., Supabase) for robust cloud hosting.

🛠️ Technology Stack

• Backend: Python (Flask)
• Database: SQLite (Local) / PostgreSQL (Production)
• Frontend: HTML5, Vanilla CSS, JavaScript (Vanilla + Chart.js)
• Production Server: Gunicorn

🚀 Local Setup

1. Clone the repository:

   git clone <your-repo-url>
   cd habit-tracker

2. Create a virtual environment:

   python -m venv venv
   .\venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the application:

   python app.py

   The app will be available at http://127.0.0.1:5000.

🌐 Deployment (Render + Supabase)

Detailed deployment instructions can be found in the brain directory guide:

1. GitHub: Push your code to a GitHub repository.
2. Supabase: Create a Postgres database and use the Connection Pooler (Port 6543) URI.
3. Render: Create a New Web Service, connect your repo, and set the DATABASE_URL environment variable.
4. Initialize DB: Use the Supabase CLI (supabase db push) or the Render shell to run the migration.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.