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.
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
AI-powered daily briefing system that aggregates tasks, calendar, and other inputs into a single actionable morning report.
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
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.
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.
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.
Self-hosted personal analytics stack — Postgres, n8n, Prefect, and Metabase in one docker-compose. Own your pipelines, own your data.
Personal analytics dashboard tracking daily habits across career, health, finance, and relationships using Python and Excel automation
A fast, local-first time tracking and personal analytics CLI built in Rust. Features real-time tracking, hierarchical tags, daily/weekly reviews, backups, and Obsidian export.
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.
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