Learn how Prisme Analytics 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.
Last 30 days
Last commit
8 months agoRepository age
3 yearsVersion
v0.20.0License
AGPL-3.0Self-hosted
YesRepository
prismelabs/analytics
Last 30 days
Last commit
10 hours agoRepository age
1 yearLicense
AGPL-3.0Repository
vemetric/vemetric
Both Prisme Analytics and Vemetric have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Vemetric leads in popularity with 392 stars vs 134 stars for Prisme Analytics. The 193% higher star count indicates stronger community adoption. In terms of developer contributions, Vemetric has 36 forks, indicating growing developer engagement.
Vemetric is shrinking more slowly, losing 1 stars in the last 30 days (-0.3%) against losing 1 stars for Prisme Analytics (-0.7%). Vemetric is both larger and pulling further ahead.
Vemetric shows more recent development activity with its last commit 10 hours ago, while Prisme Analytics was last updated 8 months ago. This suggests Vemetric is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, Typescript, JSX. However, they differ in their additional technology choices: Prisme Analytics uses CSS, Bash, Golang.
Prisme Analytics has been in development longer, starting 3 years ago, compared to Vemetric which began 1 year ago. This 1.4-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. However, they also have distinct specializations: Vemetric extends into Product Analytics.
Prisme Analytics 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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