head to head · open source
PostHog vs Databuddy
PostHog has 40,584 GitHub stars, 3,576 forks, 5,637 open issues and last shipped yesterday. Databuddy has 1,214 stars, 227 forks, 37 open issues and last shipped 12 days ago. PostHog leads on adoption by 3,243% (40,584 vs 1,214 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 3 topic tags (ai-analytics, analytics, feature-flags), 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 | ★ 41K | ★ 1.2K |
| License | Custom / other | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-10-22 |
| Forks | ⑂ 3.6K | ⑂ 227 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PostHog if
- You weight community size — 41K 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
Docs Community Roadmap Why PostHog? Changelog Bug reports PostHog is the open source platform for building self driving products PostHog provides every tool you need to build a successful product, and captures all the context agents need to proactively diagnose problems, uncover opportunities, and ship fixes: Self driving mode: Turn signals in your product data (errors, rage clicks, failed queries, and more) into researched reports and pull requests you review and merge. Product analytics: Autocapture or manually instrument event based analytics to understand user behavior and analyze data with visualization or…
read the full PostHog 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 PostHog or Databuddy more popular?
PostHog has 40,584 GitHub stars and Databuddy has 1,214. 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 (40,584 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.