Personal time tracking app
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Updated
Oct 22, 2025 - Kotlin
Personal time tracking app
Using Letterboxd personal data, TMDB API, and data science techniques to analyze movie watching data
Import your genome into a SQLite database
A Desktop app for intelligent screen time tracking, productivity analysis, and digital wellness management. Desktop screen time and productivity tracking application built with Flutter.
Foreground application logger for Windows
Inbox Archeology is a local-first tool that analyzes your Gmail Takeout export to reconstruct the social history of your inbox.
It is all about my data. http://rasyidridha.com/datague/
A customizable, privacy-preserving Python project to track daily, weekly, and monthly life statistics using Google Forms and Google Sheets. Analyze your habits, receive feedback, and visualize your progress with an interactive dashboard.
Analyze and visualize sex activity data from Apple HealthKit and more
Transforming raw IoT mood logs into visual insights with Python
Public version of self-tracking data demonstrating 'Data for Living' philosophy. 5 years of personal life data as life context.
A privacy-first (100% local) Streamlit dashboard to import and explore Apple Health exports (export.xml/export.zip) with SQLite-backed browsing, trends, workouts, rings, and sleep.
is a server built using the Model Context Protocol that allows a language model to investigate patterns in a user's daily life using multiple personal data sources.
Personal analytics dashboard tracking daily habits across career, health, finance, and relationships using Python and Excel automation
A local-first, multimodal activity tracker that builds a user knowledge graph in Obsidian. Features hybrid capture (Win32/OCR), privacy-focused storage (SQLite), and semantic reporting. Python-based.
Personal Health and Fitness Tracker Dashboard built with Tableau. Visualize daily steps, calories burned, and time spent on activities to gain insights into your health and fitness journey.
Analyzing my movie-watching data
Personal training dashboard that pulls workouts from sources like Strava and Heavy App into Google Sheets, then turns that data into activity insights and AI-assisted workout suggestions.
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