Umami significantly outpaces Prisme Analytics in community adoption with 38,047 stars compared to 127 stars on GitHub. This 299.6x difference suggests Umami has a much larger and more active community. In terms of developer contributions, Umami has 7,696 forks, indicating strong developer engagement.

Umami shows more recent development activity with its last commit 6 hours ago, while Prisme Analytics was last updated 6 months ago. This suggests Umami is being more actively maintained.

Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX. However, they differ in their additional technology choices: Prisme Analytics uses Bash, Golang while Umami leverages Next.js.

Umami has been in development longer, starting 6 years ago, compared to Prisme Analytics which began 3 years ago. This 3.5-year head start suggests Umami may have more mature features and established processes.

Umami uses the MIT license, which is more permissive than Prisme Analytics's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.

Both tools serve similar use cases in Web Analytics.

Both Prisme Analytics and Umami offer self-hosting capabilities, giving you full control over your data and infrastructure.