Learn how Countly and Prisme Analytics 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
2 days agoRepository age
14 yearsVersion
25.03.58License
OtherSelf-hosted
YesRepository
countly-server
Last 30 days
Last commit
9 months agoRepository age
3 yearsVersion
v0.20.0License
AGPL-3.0Self-hosted
YesRepository
prismelabs/analytics
Countly appears to have several advantages over Prisme Analytics, particularly in popularity, activity and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Countly significantly outpaces Prisme Analytics in community adoption with 5,926 stars compared to 136 stars on GitHub. This 43.6x difference suggests Countly has a much larger and more active community. In terms of developer contributions, Countly has 985 forks, indicating moderate developer engagement.
Prisme Analytics is growing faster, adding 1 stars in the last 30 days (+0.7%) against adding 13 stars for Countly (+0.2%). Prisme Analytics is the smaller project of the two, so it is closing the gap rather than extending a lead.
Countly shows more recent development activity with its last commit 2 days ago, while Prisme Analytics was last updated 9 months ago. This suggests Countly is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, Bash, Typescript. However, they differ in their additional technology choices: Prisme Analytics leverages CSS, JSX, Golang.
Countly has been in development longer, starting 14 years ago, compared to Prisme Analytics which began 3 years ago. This 11.8-year head start suggests Countly may have more mature features and established processes.
The projects use different licenses: Countly is licensed under Other while Prisme Analytics uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Countly also focuses on Product Analytics.
Both Countly and Prisme Analytics offer self-hosting capabilities, giving you full control over your data and infrastructure.
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