Learn how Databuddy and Litlyx 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 Litlyx, particularly in growth and activity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Databuddy having 1,171 stars and Litlyx having 1,743 stars on GitHub. In terms of developer contributions, Databuddy has 220 forks, indicating moderate developer engagement.
Databuddy is growing faster, adding 28 stars in the last 30 days (+2.4%) against adding 4 stars for Litlyx (+0.2%). Databuddy is the smaller project of the two, so it is closing the gap rather than extending a lead.
Databuddy shows more recent development activity with its last commit 1 day ago, while Litlyx was last updated 10 months ago. This suggests Databuddy is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript. However, they differ in their additional technology choices: Databuddy uses Bash, JSX, Next.js, Rust while Litlyx leverages SCSS, Vue, Nuxt.js.
Both projects started around the same time, with Databuddy beginning 2 years ago and Litlyx 2 years ago.
The projects use different licenses: Databuddy is licensed under AGPL-3.0 while Litlyx uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Web Analytics, Product Analytics.
Both Databuddy and Litlyx offer self-hosting capabilities, giving you full control over your data and infrastructure.
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