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.
Star History
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+29
STARS · LAST 30 DAYS
1
PER DAY
#528
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +29 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +4 | +11 |
Databuddy gained 29 stars in the last 30 days, about 1 a day, and now has 1.2K. It is about 2 years old and has averaged roughly 586 stars a year. It ranks #528 among TypeScript repositories and #4,307 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#5019
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Databuddy has maintained a continuous presence across global trending indexes, peaking at #5019. Below is the 30-day activity profile:
💡 Overview
Databuddy is an open-source project written in TypeScript: 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.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-analytics, alternative, analytics. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in TypeScript for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ npm install Databuddy⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Databuddy coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Databuddy.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install Databuddy using your package manager: `npm install Databuddy`
Initialize your project workspace or configuration file for Databuddy.
Import Databuddy into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Databuddy --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
databuddy-analytics/Databuddy is currently ranked #4,307 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,302 | markuspoerschke/iCal | PHP | ★ 1.2K | Compare ↗ |
| #4,302 | rust-lang/rustc_codegen_gcc | Rust | ★ 1.2K | Compare ↗ |
| #4,302 | tontinton/maki | Rust | ★ 1.2K | Compare ↗ |
| #4,305 | excon/excon | Ruby | ★ 1.2K | Compare ↗ |
| #4,306 | JKorf/Binance.Net | C# | ★ 1.2K | Compare ↗ |
| #4,307 | databuddy-analytics/Databuddy This Project | TypeScript | ★ 1.2K | |
| #4,307 | soirihiroka/shrimply | Rust | ★ 1.2K | Compare ↗ |
| #4,307 | Owloops/claude-powerline | TypeScript | ★ 1.2K | Compare ↗ |
| #4,307 | weppos/whois | Ruby | ★ 1.2K | Compare ↗ |
| #4,307 | Psiphon-Labs/psiphon-tunnel-core | Go | ★ 1.2K | Compare ↗ |
| #4,312 | jprx/darwin-vm | Python | ★ 1.2K | Compare ↗ |
Frequently Asked Questions
What does Databuddy do? +
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.
What language is Databuddy written in? +
The primary language is TypeScript. Topics include: ai-analytics, alternative, analytics, cookieless, europe.
Is Databuddy actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 51 open issues being tracked.
How many stars does Databuddy have? +
Databuddy has 1,172 stars and 220 forks on GitHub.
How does Databuddy rank among GitHub repositories? +
With 1,172 stars, databuddy-analytics/Databuddy is ranked #4,307 globally across all repositories tracked on GitHubRepo and #528 among TypeScript projects.
What license is Databuddy distributed under? +
The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.
