head to head · open source
Umami vs Databuddy
Umami has 39,874 GitHub stars, 8,471 forks, 127 open issues and last shipped 2 days ago. Databuddy has 1,214 stars, 227 forks, 37 open issues and last shipped 12 days ago. Umami leads on adoption by 3,185% (39,874 vs 1,214 stars). Umami is written in TypeScript under MIT; Databuddy is written in TypeScript under AGPL-3.0. Umami has attracted 21% as many forks as stars, Databuddy 19%. Umami was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (analytics, google-analytics), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Umami | Databuddy | |
|---|---|---|
| GitHub stars | ★ 40K | ★ 1.2K |
| License | MIT | AGPL-3.0 |
| Written in | TypeScript | TypeScript |
| Last push | 2026-11-01 | 2026-10-22 |
| Forks | ⑂ 8.5K | ⑂ 227 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Umami if
- You weight community size — 40K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick Databuddy if
- You want the Databuddy feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches TypeScript
- You evaluated both and Databuddy fits your workflow better
About Umami
Umami Umami is a privacy first analytics platform. Traffic, campaigns, behavior, conversions, and revenue in one place — no cookies, no surveillance, self hosted or in the cloud. 🚀 Getting Started A detailed getting started guide can be found at umami.is/docs. 🛠 Installing from Source Requirements A server with Node.js version 18.18+. A PostgreSQL database version v12.14+. Get the source code and install packages Configure Umami Create an .env file with the following: Optional: set API URL to change the base URL used by internal UI API calls. Relative paths are served under BASE PATH ; absolute URLs are…
read the full Umami overview →
About Databuddy
Databuddy A comprehensive analytics and data management platform built with Next.js, TypeScript, and modern web technologies. Databuddy provides real time analytics, user tracking, and data visualization capabilities for web applications. 🌟 Features 📊 Real time analytics dashboard 👥 User behavior tracking 📈 Advanced data visualization // Soon 🔒 Secure authentication 📱 Responsive design 🌐 Multi tenant support 🔄 Real time updates // Soon 📊 Custom metrics // Soon 🎯 Goal tracking 📈 Conversion analytics 🔍 Custom event tracking 📊 Funnel analysis 📈 Cohort analysis // Soon 🔄 A/B testing // Soon 📈 Export…
read the full Databuddy overview →
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Frequently asked questions
Is Umami or Databuddy more popular?
Umami has 39,874 GitHub stars and Databuddy has 1,214. Umami has the larger community by that measure.
Are Umami and Databuddy free?
Both are open source. Umami is licensed under MIT and Databuddy under AGPL-3.0. Neither carries a licence fee.
What is the difference between Umami and Databuddy?
Umami is written in TypeScript and Databuddy in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Umami or Databuddy?
Choose Umami if you want the larger community (39,874 stars) or its MIT licence terms. Choose Databuddy if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.