Learn how Countly 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.
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Self-hosted
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Stars
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Last commit
Repository age
License
Auto-fetched .

Countly appears to have several advantages over Databuddy, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Countly significantly outpaces Databuddy in community adoption with 5,850 stars compared to 995 stars on GitHub. This 5.9x difference suggests Countly has a much larger and more active community. In terms of developer contributions, Countly has 981 forks, indicating moderate developer engagement.
Both projects show recent activity, with Countly last updated 1 day ago and Databuddy 10 hours ago.
Both tools share common technology foundations, being built with JavaScript, Bash, Typescript. However, they differ in their additional technology choices: Databuddy leverages CSS, JSX, Next.js, Rust.
Countly has been in development longer, starting 14 years ago, compared to Databuddy which began 1 year ago. This 13.0-year head start suggests Countly may have more mature features and established processes.
Databuddy is licensed under AGPL-3.0, while Countly's license terms are not publicly specified.
Both tools serve similar use cases in Web Analytics, Product Analytics.
Countly provides self-hosting options for complete data control and customization, while Databuddy may be primarily cloud-based or require different deployment approaches.
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