
PostHog
Open-source product analytics and product engineering platform
37.3k stars 3.1k forks last commit first released
Actively maintained
Last commit 28 Jul 2026.

PostHog is an open-source platform that helps teams understand product usage, ship safely, and improve reliability. It combines analytics, experimentation, replay, and data tooling in a single stack that can be self-hosted.
Key Features
- Event-based product analytics with dashboards, funnels, cohorts, and SQL querying
- Web analytics for traffic and performance-focused reporting
- Session replay to review real user sessions for debugging and UX insights
- Feature flags for controlled rollouts and targeting specific users or cohorts
- Experimentation and A/B testing with statistical impact measurement
- Error tracking with alerting to help identify and fix issues
- Surveys and feedback collection integrated into product workflows
- Data warehouse and lightweight CDP features to combine product events with external data
Use Cases
- Measure activation, retention, and conversion across product journeys
- Roll out new features gradually using flags and validate changes via experiments
- Diagnose bugs and UX issues by correlating errors with session replays
Limitations and Considerations
- Open-source “hobby” self-host deployments are commonly positioned for smaller event volumes and may require more operational work at scale
PostHog is well-suited for product engineers and data teams who want an integrated, self-hostable analytics and experimentation toolkit. It provides a unified view across product usage data and operational signals to support faster, safer product iteration.
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