PostHog is open-source product analytics, session recording, feature flagging and a/b testing. It is open source, written in Python, and licensed under NOASSERTION.

Is PostHog open source?

Yes — PostHog is open source under the NOASSERTION license and the source code is publicly available on GitHub.

How popular is PostHog?

PostHog has 34,351 stars and 2,687 forks on GitHub.

Where can I find PostHog's source code?

PostHog's source is on GitHub at https://github.com/posthog/posthog.

// ANALYTICS

PostHog

Name: PostHog
Author: PostHog

Open-source product analytics, session recording, feature flagging and A/B testing

PostHog is an open source analytics project written in Python, with 34,351 stars and 2,687 forks on GitHub. It is licensed under NOASSERTION and falls in the Analytics category. A self-hostable open source alternative to Google Analytics, Segment, Mixpanel. Key topics: ab-testing, ai-analytics, analytics, cdp, data-warehouse.

↗ GITHUB ↗ WEBSITE

// FACTS

Stars: 34.4k
Forks: 2.7k
Open issues: 3.9k
Language: Python
License: NOASSERTION
Category: Analytics
Added: 1mo ago
Updated: 1mo ago

// ABOUT

PostHog is an open-source platform for product analytics, session recording, feature flags, and A/B testing. It's the all-in-one alternative to Mixpanel, Amplitude, and LaunchDarkly that you can self-host on your own infrastructure. PostHog's event-based model captures everything users do in your product and makes it easy to analyze funnels, retention, and paths.

// TOPICS

AB-TESTINGAI-ANALYTICSANALYTICSCDPDATA-WAREHOUSEEXPERIMENTSFEATURE-FLAGSJAVASCRIPTPRODUCT-ANALYTICSPYTHONREACTSESSION-REPLAYSURVEYSTYPESCRIPTWEB-ANALYTICS

// REVIEWS [000]

No reviews yet — be the first.

$ WRITE A REVIEW

// COMMENTS [000]

No comments yet.

$ ADD A COMMENT