Learn how PostHog and Vemetric differ in their key features, development activity, technology stack and community adoption, so you can decide which of these product analytics is best for you.
Last 30 days
Last commit
2 hours agoRepository age
7 yearsVersion
v0.61.839License
MITSelf-hosted
YesRepository
posthog/posthog
Last 30 days
Last commit
10 hours agoRepository age
1 yearLicense
AGPL-3.0Repository
vemetric/vemetric
PostHog appears to have several advantages over Vemetric, particularly in popularity, growth, maturity, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
PostHog significantly outpaces Vemetric in community adoption with 40,412 stars compared to 392 stars on GitHub. This 103.1x difference suggests PostHog has a much larger and more active community. In terms of developer contributions, PostHog has 3,551 forks, indicating strong developer engagement.
PostHog is growing faster, adding 494 stars in the last 30 days (+1.2%) against losing 1 stars for Vemetric (-0.3%). PostHog is both larger and pulling further ahead.
Both projects show recent activity, with PostHog last updated 2 hours ago and Vemetric 10 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript, JSX. However, they differ in their additional technology choices: PostHog uses CSS, Bash, Python, Golang, SCSS, Rust, C, Objective-C, C++.
PostHog has been in development longer, starting 7 years ago, compared to Vemetric which began 1 year ago. This 5.5-year head start suggests PostHog may have more mature features and established processes.
PostHog uses the MIT license, which is more permissive than Vemetric's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Product Analytics. However, they also have distinct specializations: Vemetric extends into Web Analytics.
PostHog 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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