Learn how Countly and Umami 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
5 hours agoRepository age
14 yearsVersion
25.03.56-LTSLicense
OtherSelf-hosted
YesRepository
countly-server
Last 30 days
Last commit
24 hours agoRepository age
6 yearsVersion
v3.4.1License
MITSelf-hosted
YesRepository
umami-software/umami
Umami appears to have several advantages over Countly, particularly in popularity, growth and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Umami significantly outpaces Countly in community adoption with 39,636 stars compared to 5,921 stars on GitHub. This 6.7x difference suggests Umami has a much larger and more active community. In terms of developer contributions, Umami has 8,400 forks, indicating strong developer engagement.
Umami is growing faster, adding 644 stars in the last 30 days (+1.7%) against adding 14 stars for Countly (+0.2%). Umami is both larger and pulling further ahead.
Both projects show recent activity, with Countly last updated 5 hours ago and Umami 24 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Countly uses Bash while Umami leverages CSS, JSX, Next.js.
Countly has been in development longer, starting 14 years ago, compared to Umami which began 6 years ago. This 8.3-year head start suggests Countly may have more mature features and established processes.
Umami uses the MIT license, which is more permissive than Countly's Other 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: Countly also focuses on Product Analytics.
Both Countly and Umami offer self-hosting capabilities, giving you full control over your data and infrastructure.
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