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Umami vs Vemetric

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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Favicon of Umami

Umami

A lightweight, open-source alternative to Google Analytics that respects user privacy and provides valuable insights.
  • Stars


    36,296
  • Forks


    6,968
  • Last commit


    1 day ago
  • Repository age


    6 years
  • License


    MIT
  • Self-hosted


    Yes
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Screenshot of Umami
Favicon of Vemetric

Vemetric

Privacy-focused analytics platform combining web and product insights. Track user journeys, create funnels, and understand behavior with GDPR compliance and no cookies by default.
  • Stars


    345
  • Forks


    33
  • Last commit


    5 days ago
  • Repository age


    11 months
  • License


    AGPL-3.0
View Repository

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Screenshot of Vemetric

Detailed Comparison

Umami appears to have several advantages over Vemetric, particularly in popularity, maturity, licensing and features. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.

Umami wins
Community & Popularity

Umami significantly outpaces Vemetric in community adoption with 36,296 stars compared to 345 stars on GitHub. This 105.2x difference suggests Umami has a much larger and more active community. In terms of developer contributions, Umami has 6,968 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Umami last updated 1 day ago and Vemetric 5 days ago.

Comparable
Technology Stack

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 wins
Project Maturity

Umami has been in development longer, starting 6 years ago, compared to Vemetric which began 11 months ago. This 5.0-year head start suggests Umami may have more mature features and established processes.

Umami wins
Licensing

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.

Comparable
Use Cases & Features

Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Vemetric extends into Product Analytics.

Umami wins
Hosting & Deployment

Umami provides self-hosting options for complete data control and customization, while Vemetric may be primarily cloud-based or require different deployment approaches.