Personal Project based on the Science of Habits

An application designed to help reinforce good habits, based on the principles of habit science.

• Daily Habit Tracking: Log daily activities to monitor progress and build consistent habits.
• Streak Visualization: Track habit streaks to stay motivated.
• Analytics: Utilize pandas and numpy to provide insights into habit patterns over time.
• Cloud Storage: Stores data securely using Supabase for easy access and retrieval.

• Python 3.10: Core programming language for the app.
• Streamlit: Provides an easy-to-use interface for tracking and visualizing habits.
• Supabase: A backend-as-a-service to store and manage user data.
• pandas: Data manipulation and analysis to generate habit tracking statistics.
• numpy: Supports numerical computations for detailed habit analysis.
• pyyaml: Handles configuration settings efficiently.
• logger: Manages logging to track app activities and debugging.
• pytest: Used for testing to ensure code reliability and correctness.
• Docker: Containerizes the application for easy deployment.

git clone https://github.com/naayem/habits-tracker.git
cd habits-tracker

1. Install dependencies:

   poetry install

2. Run the application:

   poetry run streamlit run app.py

1. Build the Docker image:

   docker build -t habits-tracker .

2. Run the Docker container:

   docker run -p 8501:8501 habits-tracker

3. Access the app: Open your browser and navigate to http://localhost:8501.

Here's an example Dockerfile that you can include in the project for reference:

# Use the official Python image as the base image
FROM python:3.10-slim

# Set the working directory in the container
WORKDIR /app

# Copy pyproject.toml and poetry.lock to the working directory
COPY pyproject.toml poetry.lock ./

# Install Poetry
RUN pip install poetry

# Install the dependencies
RUN poetry config virtualenvs.create false && poetry install --no-dev

# Copy the rest of the application code to the container
COPY . .

# Expose the port that Streamlit runs on
EXPOSE 8501

# Command to run the app
CMD ["streamlit", "run", "app.py"]

Building and maintaining habits is crucial for self-improvement. This app, inspired by habit science, provides tools to track and analyze your habits, encouraging consistency and positive change.

This project is open-source and available under the MIT License.