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PostHog

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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 screenshot

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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