Personal time tracking app
-
Updated
Jun 20, 2026 - 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.
Inbox Archeology is a local-first tool that analyzes your Gmail Takeout export to reconstruct the social history of your inbox.
Foreground application logger for Windows
Self-hosted Apple Health analysis on your own hardware — no cloud, no tracking
AI-powered daily briefing system that aggregates tasks, calendar, and other inputs into a single actionable morning report.
Local-first cognitive intelligence for developers, students, freelancers, and knowledge workers.
Personal analytics dashboard tracking daily habits across career, health, finance, and relationships using Python and Excel automation
Channel-agnostic personal health tracking and coaching skill for agents
Privacy-first, 100% local Streamlit dashboard for your full Apple Health export — sleep, heart, workouts, rings, body and cross-metric insights. DuckDB-backed.
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.
A 5-Year Odyssey. Engineered via Python & SQL to transform 43k+ raw Spotify rows into high-fidelity insights. This dashboard decodes the daily rituals and seasonal trends of the Top 50 artists in my musical history.
LifeOS is a private AI cognition layer that observes patterns across sleep, movement, spending, workouts, and reflection to generate adaptive daily intelligence locally via Ollama.
Analyze and visualize sex activity data from Apple HealthKit and more
It is all about my data. http://rasyidridha.com/datague/
Turn your icloud photos and bank statements into interactive visual maps of your life. CLIP embeddings, semantic clustering, AI narratives. Runs locally on your GPU, no data leaves your machine.
Explore and visualize your Gmail Takeout data locally to create a searchable, privacy-focused archive of your email history.
Add a description, image, and links to the personal-analytics topic page so that developers can more easily learn about it.
To associate your repository with the personal-analytics topic, visit your repo's landing page and select "manage topics."