head to head · open source
PostHog vs Databuddy
PostHog has 39,835 GitHub stars, 3,394 forks, 5,637 open issues and last shipped yesterday. Databuddy has 1,156 stars, 215 forks, 37 open issues and last shipped yesterday. PostHog leads on adoption by 3,346% (39,835 vs 1,156 stars). PostHog is written in Python under a custom or non-standard licence; Databuddy is written in TypeScript under AGPL-3.0. PostHog has attracted 9% as many forks as stars, Databuddy 19%. PostHog was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (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
| PostHog | Databuddy | |
|---|---|---|
| GitHub stars | ★ 40K | ★ 1.2K |
| License | Custom / other | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 3.4K | ⑂ 215 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PostHog if
- You weight community size — 40K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- 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 PostHog
PostHog is an open source platform for building self driving products, combining product analytics, web analytics, session replay, feature flags, experiments, error tracking, logs, surveys, a data warehouse, data pipelines, AI observability, and workflows in a single system, aimed at product, engineering, and growth teams that want to own their product data rather than rent it.
read the full PostHog 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 →
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Frequently asked questions
Is PostHog or Databuddy more popular?
PostHog has 39,835 GitHub stars and Databuddy has 1,156. PostHog has the larger community by that measure.
Are PostHog and Databuddy free?
Both are open source. PostHog has no licence declared in this registry, and Databuddy is licensed under AGPL-3.0. Both are free to self-host.
What is the difference between PostHog and Databuddy?
PostHog is written in Python 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, PostHog or Databuddy?
Choose PostHog if you want the larger community (39,835 stars) or its Custom / other licence terms. Choose Databuddy if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.