Learn how Databuddy and Vemetric 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
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Self-hosted
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Last 30 days
Last commit
Repository age
License
Repository

Both Databuddy and Vemetric 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.
Databuddy leads in popularity with 1,152 stars vs 390 stars for Vemetric. The 195% higher star count indicates stronger community adoption. In terms of developer contributions, Databuddy has 214 forks, indicating moderate developer engagement.
Vemetric is growing faster, adding 27 stars in the last 30 days (+7.4%) against adding 33 stars for Databuddy (+2.9%). Vemetric is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Databuddy last updated 11 hours ago and Vemetric 4 days ago.
Both tools share common technology foundations, being built with JavaScript, Typescript, JSX. However, they differ in their additional technology choices: Databuddy uses CSS, Bash, Next.js, Rust.
Both projects started around the same time, with Databuddy beginning 2 years ago and Vemetric 1 year 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, Product Analytics.
Databuddy provides self-hosting options for complete data control and customization, while Vemetric may be primarily cloud-based or require different deployment approaches.
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