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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Databuddy is a privacy-first analytics platform with a focus on user experience, with it's foundation built on privacy, it ensures complete compliance with most major data privacy laws out of the box
| Date | Stars |
|---|---|
| 2026-07-24 | 1112 |
| 2026-07-25 | 1113 |
| 2026-07-28 | 1113 |
| 2026-07-30 | 1113 |
| 2026-08-06 | 1113 |
Today
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Momentum
5.0
growth rate 0.00%/day
# Databuddy <div align="center"> [](LICENSE) [](https://www.typescriptlang.org/) [](https://nextjs.org/) [](https://reactjs.org/) [](https://turbo.build/repo) [](https://bun.sh/) [](https://tailwindcss.com/) [](https://coderabbit.ai) [](https://github.com/databuddy-analytics/Databuddy/actions/workflows/coverage.yml) [](https://github.com/databuddy-analytics/Databuddy/actions/workflows/security.yml) [](https://github.com/databuddy-analytics/Databuddy/actions/workflows/dependencies.yml) [<img alt="Vercel OSS Program" src="https://vercel.com/oss/program-badge.svg" />](https://vercel.com/oss) [](https://discord.gg/JTk7a38tCZ) [](https://github.com/databuddy-analytics/Databuddy/stargazers) [](https://twitter.com/trydatabuddy) </div> 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 capabilities - 🔒 GDPR compliance - 🔐 Data encryption - 📊 API access ## 📚 Table of Contents 1. **How do I get started?** Follow the [Getting Started](https://www.databuddy.cc/docs/getting-started) guide. - [Contributing](#-contributing) - [Security](#-security) - [FAQ](#-faq) - [Support](#-support) - [License](#-license) ### Prerequisites - Bun 1.3.14+ - Node.js 20+ ## 🏠 Self-Hosting Databuddy can be self-hosted using Docker Compose. The repo includes two compose files: | File | Purpose | |---|---| | `docker-compose.yaml` | **Development only** — starts infrastructure (Postgres, ClickHouse, Redis) for local dev | | `docker-compose.selfhost.yml` | **Production / self-hosting** — backend services from GHCR images | ### Quick Start ```bash # 1. Configure environment cp .env.example .env # Edit .env — set IMAGE_TAG, URL-safe database/cache passwords, public URLs, # BETTER_AUTH_SECRET, DATABUDDY_ENCRYPTION_KEY, IP_HASH_SALT, and # AI_GATEWAY_API_KEY. Make the local database URLs use the same credentials # before running the initialization commands below. # 2. Start databases and cache docker compose -f docker-compose.selfhost.yml up -d postgres clickhouse redis # 3. Initialize databases from the repo checkout (first run only) bun install --frozen-lockfile bun run db:push bun run clickhouse:init # 4. Start backend services docker compose -f docker-compose.selfhost.yml up -d ``` Services started: - **API** →
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9880cc7f5f6261b6, topic:privacy