TimeTagger
An open-source, web-based time tracker with an intuitive timeline UI, tag-based organization, reporting, and self-hosting support.
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Self-hosted time tracker with tags, reports, and Pomodoro. Simple and fast.
Core Features
- Interactive timeline: drag & drop to log or adjust time blocks
- Tags instead of projects for lightweight categorization
- Reports in PDF/CSV with daily/weekly/monthly targets
- Built-in Pomodoro timer (experimental)
- Sync across devices, responsive design
What It Can't Do
- •For multi-user mode, passwords must be BCrypt hashed (use https://timetagger.app/cred). Reverse proxy auth requires configuring trusted IPs and user header – misconfiguration may bypass auth. The Pomodoro feature is experimental.
Use Cases
- Freelancers tracking time for multiple clients
- Individuals logging daily routines (study, fitness, chores)
- Small teams needing a lightweight shared time tracker (multi-user setup required)
TimeTagger is a lightweight time-tracking tool designed for individuals and freelancers. It runs as a web app (locally or on a server) and features an interactive timeline for easy logging. Instead of complex projects, it uses simple tags for categorization. You can set daily/weekly/monthly targets, generate PDF/CSV reports, and even use an experimental Pomodoro mode. It syncs across devices and supports both single-user and multi-user setups with authentication via passwords or reverse proxy. Built with Python (asyncio) and compiled client-side code (PScript), it's fast and easy to deploy via pip or Docker.
Tags
Getting Started
Download installer
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Install the software
Double-click the downloaded installer and follow the prompts
Step 1: Run pip install -U timetagger
Step 2: Run python -m timetagger
Step 3: Open http://localhost:8080 in your browser
- Step 1: Run pip install -U timetagger
- Step 2: Run python -m timetagger
- Step 3: Open http://localhost:8080 in your browser
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Open Source Transparency
View GitHub SourceUninstall Info
Run pip uninstall timetagger. For Docker, remove the container and image, then clear data volumes if needed.
No Extra Dependencies
Ready to use after download. No additional runtime required.
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