Learn how Databuddy and Swetrix 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

Swetrix appears to have several advantages over Databuddy, particularly in growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both Databuddy and Swetrix show comparable community engagement with 1,136 and 1,170 stars respectively. In terms of developer contributions, Databuddy has 210 forks, indicating moderate developer engagement.
Swetrix is growing faster, adding 68 stars in the last 30 days (+6.2%) against adding 23 stars for Databuddy (+2.1%). Swetrix is both larger and pulling further ahead.
Both projects show recent activity, with Databuddy last updated 1 day ago and Swetrix 3 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Databuddy uses Next.js, Rust while Swetrix leverages NestJS.
Swetrix has been in development longer, starting 5 years ago, compared to Databuddy which began 1 year ago. This 4.0-year head start suggests Swetrix may have more mature features and established processes.
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 also focuses on Product Analytics.
Both Databuddy and Swetrix offer self-hosting capabilities, giving you full control over your data and infrastructure.
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs