A web-based habit tracking app that helps users build consistency, log daily actions, and visualize their progress through interactive dashboards.
🌐 Live App: https://accountabilitypartner.streamlit.app/
- 🧠 Create Daily Habits: Define habits you want to build and track.
- 📅 Log Daily Activities: Quickly record your habit-related activities.
- 📊 Analyze Progress: Visualize habit consistency, trends, and completion rates.
- 🔐 Custom Auth System: Users log in via a custom-built authentication flow (no third-party auth).
- 🧪 Demo Mode: Explore the dashboard and analytics using sample (fake) data — no login required.
The core entities in Accountability Partner include users, habits, and activity logs. Here's a visual representation of the schema:
The Accountability Partner dashboard provides actionable insights to help users reflect on their behavior and make data-informed adjustments. Some of the insights available include:
- 📈 Habit Completion Trends: Visualize consistency over time and identify patterns of momentum or drop-off.
- 📅 Day-Level Activity Heatmaps: Detect which days of the week are most productive or prone to missed habits.
- 🔁 Streak Duration: Track how long users sustain a habit without interruption, helping reinforce positive reinforcement.
- 🗒️ Note Patterns (Word Cloud): Identify recurring themes or emotions in daily habit logs.
- 📊 Most/Least Performed Habits: Understand which habits are easiest to maintain versus those needing intervention.
- 🔍 Time-Based Comparisons: View progress week-over-week or month-over-month for performance reviews.
Below is a GIF of the Overview Dashboard from the Demo
Due to backend limits:
- The app currently supports only pre-configured users.
- If you're interested in gaining access, please reach out to be added.
⚠️ Expanding to support full registration or multi-user onboarding is planned for future versions.
| Layer | Tools Used |
|---|---|
| Frontend Interface | Streamlit |
| Backend & Storage | Supabase (PostgreSQL) |
| Data Processing | Python (Pandas, NumPy) |
| Visualization | Altair, Matplotlib, Calplot, WordCloud |
| Deployment | Streamlit Cloud |
| Auth System | Custom Python-based login logic |
No setup needed — just visit the live app.
If you're a developer interested in collaborating:
- Reach out to get access to the codebase.
- Contributions to analytics, visualization, or multi-user logic are welcome!
Have feedback or want access?
📧 Email: ayersamuel210@gmail.com
🌍 LinkedIn: Samuel Ayer
MIT License © 2025 Accountability Partner Project