Learn how Litlyx 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
1 year agoRepository age
2 yearsVersion
v0.0.19License
Apache-2.0Self-hosted
YesRepository
litlyx/litlyx
Last 30 days
Last commit
11 hours agoRepository age
1 yearLicense
AGPL-3.0Repository
vemetric/vemetric
Both Litlyx 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.
Litlyx significantly outpaces Vemetric in community adoption with 1,748 stars compared to 397 stars on GitHub. This 4.4x difference suggests Litlyx has a much larger and more active community. In terms of developer contributions, Litlyx has 114 forks, indicating moderate developer engagement.
Vemetric is growing faster, adding 4 stars in the last 30 days (+1%) against adding 6 stars for Litlyx (+0.3%). Vemetric is the smaller project of the two, so it is closing the gap rather than extending a lead.
Vemetric shows more recent development activity with its last commit 11 hours ago, while Litlyx was last updated 1 year ago. This suggests Vemetric is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Litlyx uses CSS, SCSS, Vue, Nuxt.js while Vemetric leverages JSX.
Litlyx has been in development longer, starting 2 years ago, compared to Vemetric which began 1 year ago. This 1.0-year head start suggests Litlyx may have more mature features and established processes.
The projects use different licenses: Litlyx is licensed under Apache-2.0 while Vemetric uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Web Analytics, Product Analytics.
Litlyx 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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