Learn how OpenReplay and PostHog 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.
Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

PostHog appears to have several advantages over OpenReplay, particularly in popularity and maturity. Consider your specific needs regarding popularity, activity, technology, maturity and features when making your decision.
PostHog leads in popularity with 33,191 stars vs 11,980 stars for OpenReplay. The 177% higher star count indicates stronger community adoption. In terms of developer contributions, PostHog has 2,588 forks, indicating strong developer engagement.
Both projects show recent activity, with OpenReplay last updated 16 hours ago and PostHog 3 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Golang, C, Objective-C. However, they differ in their additional technology choices: OpenReplay uses Ruby, Swift, Kotlin, MATLAB while PostHog leverages SCSS, Rust, C++.
PostHog has been in development longer, starting 6 years ago, compared to OpenReplay which began 5 years ago. This 1.3-year head start suggests PostHog may have more mature features and established processes.
Both tools serve similar use cases in Product Analytics. However, they also have distinct specializations: OpenReplay also focuses on Performance Monitoring (APM).
Both OpenReplay and PostHog offer self-hosting capabilities, giving you full control over your data and infrastructure.