TimeTracker vs Timewarrior
A side-by-side comparison of two self-hosted time tracking options — licensing, setup difficulty, resource needs, and what each one replaces.
TimeTracker
Self-hosted web-based time tracking for teams
VS
Timewarrior
Command-line time tracking with powerful reporting
| Feature | TimeTracker | Timewarrior |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 80 · Excellent | 85 · Excellent |
| Category | Time Tracking | Time Tracking |
| License | MIT | MIT |
| Language | Python | C++ |
| Setup difficulty | Medium | Easy |
| Min. RAM | 256 MB | 64 MB |
| Deployment | docker, source | binary, source |
| GitHub stars | ★ 628 | ★ 1,663 |
| First released | 2024 | 2016 |
| Replaces | Toggl, Harvest | Toggl |
What are TimeTracker and Timewarrior?
TimeTracker
TimeTracker is a self-hosted web-based time tracking application for freelancers, teams, and businesses. It manages projects, logs billable time, and generates invoices, keeping all data under your control.
- Project-based time logging
- Invoice generation
- Multi-user accounts
- Self-hosted data control
Timewarrior
Timewarrior is a command-line time tracking utility that records start and stop times of tracked activities. It offers flexible tagging, reports, and analytics for personal productivity.
- Pure command-line workflow
- Tag-based tracking
- Flexible reports and charts
- Integrates with Taskwarrior
TimeTracker vs Timewarrior: key differences
TimeTracker is written in Python, while Timewarrior is built with C++. Timewarrior is the lighter option, starting around 64 MB of RAM against 256 MB for TimeTracker. Timewarrior is the more established project (first released 2016), while TimeTracker arrived in 2024. Timewarrior has the considerably larger community, at 1,663 GitHub stars versus 628. TimeTracker lists first-class Docker deployment; Timewarrior does not.
Why pick each one
Choose TimeTracker if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Written in Python
- Tiny footprint — runs in 256 MB RAM
Choose Timewarrior if…
- Released under the MIT license
- Easy to set up — beginner-friendly
- Active community (1.7k GitHub stars)
- Written in C++
Frequently asked questions
Is TimeTracker or Timewarrior better?
Timewarrior is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider TimeTracker if its specific feature set fits your needs better.
Are TimeTracker and Timewarrior free and open-source?
Yes. TimeTracker is licensed under MIT and Timewarrior under MIT. Both can be self-hosted at no software cost.
Can I run TimeTracker and Timewarrior with Docker?
TimeTracker: yes. Timewarrior: check the project docs for container support.
Which is lighter on resources, TimeTracker or Timewarrior?
Timewarrior has the smaller minimum footprint at 64 MB of RAM, compared to about 256 MB for TimeTracker. Real-world usage depends on library size, user count, and enabled features.