Learn how Databuddy and OpenWebAnalytics 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.
Activity score

Activity score

OpenWebAnalytics appears to have several advantages over Databuddy, particularly in popularity and maturity. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
OpenWebAnalytics leads in popularity with 2,677 stars vs 1,102 stars for Databuddy. The 143% higher star count indicates stronger community adoption. In terms of developer contributions, OpenWebAnalytics has 487 forks, indicating moderate developer engagement.
Both projects show recent activity, with Databuddy last updated 22 hours ago and OpenWebAnalytics 5 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS. However, they differ in their additional technology choices: Databuddy uses Bash, Typescript, JSX, Next.js, Rust while OpenWebAnalytics leverages PHP.
OpenWebAnalytics has been in development longer, starting 14 years ago, compared to Databuddy which began 1 year ago. This 13.1-year head start suggests OpenWebAnalytics may have more mature features and established processes.
The projects use different licenses: Databuddy is licensed under AGPL-3.0 while OpenWebAnalytics uses GPL-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Databuddy also focuses on Product Analytics.
Both Databuddy and OpenWebAnalytics offer self-hosting capabilities, giving you full control over your data and infrastructure.
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