Learn how Betterlytics and Databuddy 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.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Databuddy appears to have several advantages over Betterlytics, particularly in popularity and growth. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Databuddy significantly outpaces Betterlytics in community adoption with 1,152 stars compared to 175 stars on GitHub. This 6.6x difference suggests Databuddy has a much larger and more active community. In terms of developer contributions, Databuddy has 214 forks, indicating moderate developer engagement.
Databuddy is growing faster, adding 33 stars in the last 30 days (+2.9%) against adding 4 stars for Betterlytics (+2.3%). Databuddy is both larger and pulling further ahead.
Both projects show recent activity, with Betterlytics last updated 11 hours ago and Databuddy 11 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Next.js, Rust.
Both projects started around the same time, with Betterlytics beginning 1 year ago and Databuddy 2 years ago.
Both projects use the AGPL-3.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Databuddy extends into Product Analytics.
Both Betterlytics and Databuddy offer self-hosting capabilities, giving you full control over your data and infrastructure.
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