Learn how Umami 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.
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Last 30 days
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Umami appears to have several advantages over Vemetric, particularly in popularity, maturity, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Umami significantly outpaces Vemetric in community adoption with 38,337 stars compared to 382 stars on GitHub. This 100.4x difference suggests Umami has a much larger and more active community. In terms of developer contributions, Umami has 7,836 forks, indicating strong developer engagement.
Vemetric is growing faster, adding 24 stars in the last 30 days (+6.7%) against adding 454 stars for Umami (+1.2%). 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 Umami last updated 4 days ago and Vemetric 3 days ago.
Both tools share common technology foundations, being built with JavaScript, Typescript, JSX. However, they differ in their additional technology choices: Umami uses CSS, Next.js.
Umami has been in development longer, starting 6 years ago, compared to Vemetric which began 1 year ago. This 5.0-year head start suggests Umami may have more mature features and established processes.
Umami uses the MIT license, which is more permissive than Vemetric's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Vemetric extends into Product Analytics.
Umami 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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