PostHog

An all-in-one product platform with analytics, session replay, feature flags, experiments, surveys and error tracking, in the cloud or self-hosted.

40.6k stars, 3.6k forks Python On GitHub since January 2020

Visit website View on GitHub How to run it

What is PostHog?

PostHog collects events from your website or app and stores your analytics, errors, session replays and business data in one place, so you and AI agents can query it. On top of product analytics with funnels, retention and paths, it offers session replay, feature flags, A/B experiments, surveys, error tracking and a data warehouse. Most customers use PostHog Cloud in the US or EU; the open repository lets you run a self-hosted hobby deployment.

Good fit if

  • You want product analytics, feature flags and replays from one vendor instead of five.
  • Your engineers want to query raw events with SQL.

Look elsewhere if

  • You only need simple, privacy-friendly website stats: Plausible or Umami.
  • You want a lighter self-hosted install: PostHog's compose stack runs more than 30 services, including ClickHouse, Kafka and PostgreSQL.

Before you adopt it

Most of PostHog is MIT-licensed, but the ee directory is under a separate enterprise license for paid features. Self-hosting is aimed at small hobby use, and the company recommends its cloud for production.

Drafted with AI from the project's README and repository data, then checked against that data on 30 October 2026. Report a correction

PostHog health: is it still maintained?

80 of 100, actively developed

  • Activity
    18,352 commits in the last 90 days, the latest on 1 November 2026.
    30 / 30
  • Contributors
    15 people wrote the latest 100 commits; the most active wrote 39% of them.
    16 / 20
  • Releases
    15 releases in the last 12 months; the latest, desktop-v0.61.903, on 31 October 2026.
    19 / 20
  • Replies to issues
    Too few recent issues from outside the team to measure, so this part gets a neutral score.
    10 / 20
  • Security practices
    OpenSSF Scorecard 4.6 of 10.
    5 / 10

Read from GitHub on 1 November 2026. How the score works

PostHog license: is it open source?

PostHog uses MIT, an open-source license approved by the OSI. Some features sit under a separate paid license inside the same repository.

  1. January 2020First published on GitHub.
  2. TodayMIT, with paid parts: license file assigns a different licence to part of the code; directory ee/; separate license ee/LICENSE.

How to run PostHog yourself

Docker
Dockerfile or compose file in the repository
Compose file
docker-compose.hobby.yml: 37 services (postgres, redis, clickhouse, kafka, minio, elasticsearch)
Setup effort
5 of 5, judged from the compose file
Kubernetes
Helm chart in the repository
Desktop and mobile
No app builds in GitHub releases
Interface languages
English only

Install instructions: posthog.com or the README on GitHub.

Alternatives to PostHog

  • OpenReplaySession replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and… 76 health · AGPL-3.0 · 13.1k stars
  • CountlyCountly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing… 66 health · Countly Product Analytics - Countly Lite License · 5.9k stars
  • UmamiUmami is a privacy-first web and product analytics platform. Traffic, campaigns, behavior, conversions, and… 79 health · MIT · 39.8k stars
  • RybbitRybbit - open-source and privacy-friendly alternative to Google Analytics that is 10x more intuitive. 68 health · AGPL-3.0 · 13.2k stars
  • Highlighthighlight.io: The open source, full-stack monitoring platform. Error monitoring, session replay, logging,… 25 health · Apache-2.0 · 9.4k stars

All 24 projects in Web analytics

Questions about PostHog

Is PostHog open source?

Yes. PostHog is published under MIT, an OSI-approved open-source license. Some features are kept under a separate paid license in the same repository.

Is PostHog still maintained?

Its health score is 80 of 100 (actively developed). It had 18,352 commits in the last 90 days, the latest on 1 November 2026, and its latest release came out on 31 October 2026.

How do I run PostHog?

You can run it with Docker, on Kubernetes with the Helm chart in the repository. The README on GitHub has the exact steps.

What are the alternatives to PostHog?

Close alternatives in the Web analytics category include OpenReplay, Countly, Umami.