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

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

Both Countly and Databuddy have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Countly significantly outpaces Databuddy in community adoption with 5,891 stars compared to 1,136 stars on GitHub. This 5.2x difference suggests Countly has a much larger and more active community. In terms of developer contributions, Countly has 983 forks, indicating moderate developer engagement.
Databuddy is growing faster, adding 23 stars in the last 30 days (+2.1%) against adding 6 stars for Countly (+0.1%). Databuddy is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Countly last updated 8 hours ago and Databuddy 19 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.
Both Countly and Databuddy offer self-hosting capabilities, giving you full control over your data and infrastructure.
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