Self-knowledge through numbers
-
Updated
Nov 8, 2020 - Python
Self-knowledge through numbers
Life Logger is a private-first personal data operating system that captures daily events, achievements, and failures via Telegram, structures them automatically, and securely stores them on GitHub. Built as a digital second brain for search, insights, and lifelong self-tracking — engineered by Naboraj Sarkar 🧠⚡
Terminal watcher for the free open-source tracking tool ActivityWatch
Track Your Environment and Explore Correlations using Arduino and Python
AI-powered engineering self-tracker. Weekly coaching reports from real git, Langfuse, and Claude Code data. Powered by NVIDIA Nemotron Ultra 253B
Self-tracking system integrated with Google Sheets.
Mũrũthi — a personal life intelligence system using activity tracking and Markov chain modeling to guide better decisions.
KinaWatch: a local-first ActivityWatch and Obsidian review dashboard
Local-first evidence and analysis platform: typed source adapters, reproducible DuckDB products, evidence graphs, and agent-ready context.
Local-first, vendor-neutral health data import and portable reporting with a no-hardware demo
Zero-input dashboard that aggregates your everyday cultural activity (music, reading, exercise…) and scores it to surface early signs of mental-health decline
☕ Personal data analysis project tracking coffee consumption vs energy levels - Using data science in daily life
Add a description, image, and links to the self-tracking topic page so that developers can more easily learn about it.
To associate your repository with the self-tracking topic, visit your repo's landing page and select "manage topics."