databuddy-analytics/Databuddy
Open-source product analytics for startups: track visitors, events, funnels, and goals without cookies, and ask Databunny, the built-in AI analyst. Uptime, feature flags, and short links in the same dashboard. observed · 2026-10-11
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 70
- Longevity 42
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 588
- days_rel: 203
- days_push: 10
- n_releases_24m: 4
Adoption not part of the score
1198 stars · 225 forks observed · 2026-10-11
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Databuddy is a privacy-first, cookieless web analytics platform built with Next.js and TypeScript that combines page analytics, error tracking, Core Web Vitals, feature flags, short links, and uptime monitoring in one dashboard. It is GDPR/CCPA compliant by default, offers a REST API and MCP server for AI agents, and can be self-hosted via Docker.
Use cases
- replace google analytics with a privacy-friendly alternative
- track website visitors without cookies or consent banners
- monitor core web vitals and page performance
- track javascript errors in production
- run feature flags with targeting rules
- analyze conversion funnels and custom events
- self-host a gdpr-compliant analytics platform
- query analytics data from AI agents via MCP
When to choose
- you need cookieless, GDPR-compliant analytics out of the box
- you want analytics, error tracking, web vitals, and feature flags from a single lightweight tracker
- you want to self-host analytics with Docker
- you want programmatic API or MCP access to your analytics data
When to avoid
- you need deep session replay or user-level surveillance features
- you require a fully managed solution and cannot accept AGPL-3.0 licensing
- you need mature A/B testing or cohort analysis, which are still marked as upcoming
Facets
application · maturity active
analytics monitoring feature-flags web-framework api-framework mcp self-hosted analytics web-development privacy developer-tools self-hosted monitoring self-hosted cross-platform web-analytics gdpr-compliant cookieless-tracking google-analytics-alternative error-tracking web-vitals uptime-monitoring funnel-analysis nextjs typescript web-server nodejs docker
8 sources
- readme: https://github.com/databuddy-analytics/Databuddy · fetched 2026-10-11 · 223c14d40590
- homepage: https://www.databuddy.cc · fetched 2026-08-29 · b6d369427882
- site_page: https://www.databuddy.cc/docs · fetched 2026-08-29 · b1350a0e66e5
- site_page: https://www.databuddy.cc/docs/api/mcp · fetched 2026-08-29 · a14c881a2958
- site_page: https://www.databuddy.cc/docs/api · fetched 2026-08-29 · 63af6ab42941
- site_page: https://www.databuddy.cc/about · fetched 2026-08-29 · ccc692f22519
- site_page: https://www.databuddy.cc/pricing · fetched 2026-08-29 · ff8e7592ffeb
- site_page: https://www.databuddy.cc/changelog · fetched 2026-08-29 · 9aebb2a10e6f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| databuddy-analytics/Databuddy | main | 77 |
For agents
markdown · JSON · MCP: product_card(name="databuddy-analytics/Databuddy")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem