head to head · open source

Plausible vs Databuddy

Plausible has 29,116 GitHub stars, 1,866 forks, 60 open issues and last shipped yesterday. Databuddy has 1,156 stars, 215 forks, 37 open issues and last shipped yesterday. Plausible leads on adoption by 2,419% (29,116 vs 1,156 stars). Plausible is written in Elixir under AGPL-3.0; Databuddy is written in TypeScript under AGPL-3.0. Plausible has attracted 6% as many forks as stars, Databuddy 19%. Plausible was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (analytics, google-analytics, privacy), 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.

Plausible ★ 29K Databuddy ★ 1.2K category Data & Analytics

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Side by side

Plausible Databuddy
GitHub stars ★ 29K ★ 1.2K
License AGPL-3.0 AGPL-3.0
Written in Elixir TypeScript
Last push 2026-09-17 2026-09-17
Forks ⑂ 1.9K ⑂ 215
Self-hosting Yes Yes
Data ownership Your server Your server

pick Plausible if

  • You weight community size — 29K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches Elixir
  • You value the larger contributor base for long-term maintenance

full Plausible profile →

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

full Databuddy profile →

About Plausible

Plausible Analytics is an open source, privacy first web analytics tool — a lightweight, cookie free alternative to Google Analytics — for teams that want traffic and conversion insights without collecting personal data, available as a managed cloud service or a self hosted community edition under the AGPL 3.0 licence.

read the full Plausible overview →

About Databuddy

Databuddy is privacy first analytics platform. It lives in web analytics ecosystem, specifically data and analytics, web and product analytics. It aims to provide analytics without cookies or tracking, and it claims foundation built on privacy for compliance with most major data privacy laws out of box.

read the full Databuddy overview →

More in Data & Analytics

Mermaid ★ 90K Crawl4AI ★ 84K Scrapling ★ 82K Apache Superset ★ 75K echarts ★ 67K scrapy ★ 64K

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More Web & Product Analytics projects

Compare either of these against the rest of the Web & Product Analytics field.

Plausible vs PostHog Plausible vs Umami Plausible vs Matomo Plausible vs Rybbit Plausible vs Claude-Code-Usage-Monitor Plausible vs Fathom Lite Plausible vs firebase-ios-sdk Plausible vs Countly Plausible vs shynet Plausible vs tianji Plausible vs OpenWebAnalytics Plausible vs talivia

Frequently asked questions

Is Plausible or Databuddy more popular?

Plausible has 29,116 GitHub stars and Databuddy has 1,156. Plausible has the larger community by that measure.

Are Plausible and Databuddy free?

Both are open source. Plausible is licensed under AGPL-3.0 and Databuddy under AGPL-3.0. Neither carries a licence fee.

What is the difference between Plausible and Databuddy?

Plausible is written in Elixir 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, Plausible or Databuddy?

Choose Plausible if you want the larger community (29,116 stars) or its AGPL-3.0 licence terms. Choose Databuddy if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.