#Quantified-self
Showing 21 of 21 repositories tagged #quantified-self, ranked by stars
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Quantified Self Personal Data Aggregator and Data Analysis
Command line interface used by all WakaTime text editor plugins.
Spend time with the people you care about. Introvert-tested. Extrovert-approved.
Command line interface used by all WakaTime text editor plugins
OpenStrap's Flutter app: drains a WHOOP 4.0 band over Bluetooth, syncs raw data to your own backend, and shows what your strap actually measures.
Self-knowledge through numbers
Obsidian plugin to track user activity with ActivityWatch
Free, open, MIT health-analytics engine — recovery, sleep, HRV, strain, calories — no subscription. Currently reads WHOOP 5.0 / WHOOP MG sensors; iOS only (Android not yet). Golden-vector tested, pure Swift.
A Real-Time Personal Dashboard For Your Life
Simple commandline habits tracker.
A simple Python CLI to download Garmin Connect data as local files and load them into a SQLite database for analysis
Analyzer and statistics generator for text-based conversations. Includes Facebook scraper and parser
Quantified Sleep: Machine learning techniques for observational n-of-1 studies.
A quantified-self app that tracks various fitness & productivity metrics.
Load data from the Oura Ring API into a personal data warehouse
How to mix TODO lists, tracking work sessions, habit and mood tracking, computer and smartphone tracking, CBT techniques, analyze them and build recommendation system for task prioritization and balanced life
Tools to analyse and experiment with ActivityWatch data
Optimize ergonomics, security, and productivity: vim/neovim, zsh, tmux, i3, emacs, vscode, ipython, jupyter, ranger, fzf, kitty, xkb, quantself, systemd, etc
Presentations on Quantified Self and Self-Tracking with Python
Quantified Self: A Personal Data Aggregator and Dashboard for Self-Trackers and Quantified Self Enthusiasts