Open source alternatives to Timely
3 open source tools do the job of Timely. The most starred is Super Productivity, with 23.6k stars. Verified on GitHub. About Timely

TimelyFreemium
Super Productivity23.6k stars · MITGitHubAll 3 alternatives
Questions about alternatives to Timely
What is the best open source alternative to Timely?
By GitHub stars it is Super Productivity, with 23,662 stars and a commit on 13 Nov. Choose Super Productivity when you are happy to start a timer yourself and want work logs and timesheets without paying per user. Next come Ever Gauzy (8,813 stars) and Ever Teams (606 stars).
Is there a free alternative to Timely?
Yes. The code of all 3 is public under MIT or AGPL 3.0, so you can use them with no licence fee. Running one yourself costs the server and your time to look after it, and some makers also sell a hosted plan.
How do I choose between them?
Start from the job you use Timely for. Choose Ever Gauzy when you want team time tracking with screenshots tied to projects, invoices and payroll on a server you control. Choose Ever Teams when you want tracked hours tied to team tasks, with a free cloud plan for up to 15 members.
Which Timely alternatives can I host on my own server?
All 3: Super Productivity, Ever Gauzy and Ever Teams. Each tool's page says what it needs to run.
Which ones are still being worked on?
All 3 we track had a commit in the last 30 days, among them Super Productivity, Ever Gauzy and Ever Teams. A recent commit shows the project is kept up, not that it will stay that way.
What licences do they use?
AGPL 3.0 (2), MIT (1). MIT, BSD and Apache let you change and reuse the code freely. GPL and AGPL ask you to share your changes under the same licence when you give the software to others, and AGPL also counts letting people use it over a network.
What do I lose by leaving Timely?
The hosting. Timely's maker runs the servers for you; with an open source tool the updates, backups, security fixes and support are yours, unless you take the maker's hosted plan. Features differ too, so check what each one imports and exports before you move your data.

