Learn how Open Analytics 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
4 days agoRepository age
3 monthsVersion
v0.8.0License
AGPL-3.0Self-hosted
YesRepository
openanalytics
Last 30 days
Last commit
9 months agoRepository age
3 yearsVersion
v0.20.0License
AGPL-3.0Self-hosted
YesRepository
prismelabs/analytics
Open Analytics appears to have several advantages over Prisme Analytics, particularly in popularity, growth and activity. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Open Analytics significantly outpaces Prisme Analytics in community adoption with 642 stars compared to 134 stars on GitHub. This 4.8x difference suggests Open Analytics has a much larger and more active community. In terms of developer contributions, Open Analytics has 53 forks, indicating growing developer engagement.
Open Analytics is growing faster, adding 52 stars in the last 30 days (+8.8%) against losing 1 stars for Prisme Analytics (-0.7%). Open Analytics is both larger and pulling further ahead.
Open Analytics shows more recent development activity with its last commit 4 days ago, while Prisme Analytics was last updated 9 months ago. This suggests Open Analytics is being more actively maintained.
Prisme Analytics has been in development longer, starting 3 years ago, compared to Open Analytics which began 3 months ago. This 2.6-year head start suggests Prisme Analytics may have more mature features and established processes.
Both projects use the AGPL-3.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in Web Analytics.
Both Open Analytics and Prisme Analytics offer self-hosting capabilities, giving you full control over your data and infrastructure.
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs