Learn how OpenPanel 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.
Last 30 days
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

PostHog appears to have several advantages over OpenPanel, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
PostHog significantly outpaces OpenPanel in community adoption with 38,791 stars compared to 6,783 stars on GitHub. This 5.7x difference suggests PostHog has a much larger and more active community. In terms of developer contributions, PostHog has 3,266 forks, indicating strong developer engagement.
OpenPanel is growing faster, adding 560 stars in the last 30 days (+9%) against adding 1,479 stars for PostHog (+4%). OpenPanel is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with OpenPanel last updated 17 hours ago and PostHog 4 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: OpenPanel uses Next.js while PostHog leverages Python, SCSS, Golang, Rust, C, Objective-C, C++.
PostHog has been in development longer, starting 7 years ago, compared to OpenPanel which began 2 years ago. This 4.2-year head start suggests PostHog may have more mature features and established processes.
PostHog uses the MIT license, which is more permissive than OpenPanel'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: OpenPanel also focuses on Web Analytics.
Both OpenPanel and PostHog offer self-hosting capabilities, giving you full control over your data and infrastructure.
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