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Databuddy vs Rybbit

Learn how Databuddy and Rybbit differ in their key features, development activity, technology stack and community adoption, so you can decide which of these web analytics is best for you.

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Favicon of Databuddy

Databuddy

Get powerful web analytics with zero cookies, 100% GDPR compliance, and full data ownership. Lightweight 3KB script delivers real-time insights without compromising user privacy.
  • Stars


    995
  • Forks


    179
  • Last commit


    10 hours ago
  • Repository age


    1 year
  • License


    AGPL-3.0
View Repository

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Screenshot of Databuddy
Favicon of Rybbit

Rybbit

Get next-gen, open-source, and cookieless web analytics. Understand user behavior with session replays, real-time data, and web vitals. GDPR/CCPA compliant.
  • Stars


    12,005
  • Forks


    641
  • Last commit


    2 days ago
  • Repository age


    1 year
  • License


    AGPL-3.0
View Repository

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Screenshot of Rybbit

Detailed Comparison

Both Databuddy and Rybbit have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Rybbit wins
Community & Popularity

Rybbit significantly outpaces Databuddy in community adoption with 12,005 stars compared to 995 stars on GitHub. This 12.1x difference suggests Rybbit has a much larger and more active community. In terms of developer contributions, Rybbit has 641 forks, indicating moderate developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Databuddy last updated 10 hours ago and Rybbit 2 days ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js. However, they differ in their additional technology choices: Databuddy uses Rust.

Comparable
Project Maturity

Both projects started around the same time, with Databuddy beginning 1 year ago and Rybbit 1 year ago.

Comparable
Licensing

Both projects use the AGPL-3.0 license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in Web Analytics, Product Analytics.