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🦔 PostHog provides open-source product analytics, session recording, feature flagging and a/b testing that you can self-host.

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Docs -Using PostHog -Support community -Roadmap -Bug report

PostHog is an open-source suite of product and data tools, built for engineers

  • Specify events manually, or use autocapture to get started quickly
  • Analyze your data with visualizations and session recordings
  • Improve your product with A/B testing and feature flags
  • Keep control over your data by deploying PostHog on your infrastructure
  • Use apps to connect to external services and manage data flows

Table of Contents

Get started for free

PostHog Cloud

The fastest and most reliable way to get started with PostHog is signing up for free to PostHog Cloud orPostHog Cloud EU

Open-source hobby deploy

Deploy a hobby instance in one line on Linux with Docker (recommended 4GB memory):

 /bin/bash -c"$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)"

Good for <100K events ingested monthly. See ourdocs for more info and limitations.

Enterprise self-hosted

See ourenterprise self-hosted docs to deploy a scalable, production-ready instance with support from our team.

Features

ui-demo

We bring together all the tools and data in one place to help you build better products

Product analytics and optimization

  • Event-based analytics: capture your product's usageautomatically, orcustomize it to your needs
  • User and group tracking: understand thepeople andgroups behind the events and track properties about them
  • Data visualizations: create and sharegraphs,funnels,paths,retention, anddashboards
  • Session recording:watch videos of your users' behavior, with fine-grained filters and privacy controls
  • Heatmaps: see where users are using your product with thePostHog Toolbar
  • Feature flags: test and manage the rollout of new features, target specific users and groups
  • A/B and multi-variate testing: run simple or complex changes asexperiments and get automatic significance calculations
  • Correlation analysis: discover what events and propertiescorrelate with success and failure

Data and infrastructure tools

Read a full list of PostHog features.

Docs and support

Read how todeploy,integrate, andextend PostHog in ourdocumentation.

Check out ourtutorials for step-by-step guides, how-to's, and best practices.

Learn more about getting the most out of PostHog's features inour product manual.

Ask a question or join ourSlack community to get support.

Contributing

We <3 contributions big and small. In priority order (although everything is appreciated) with the most helpful first:

Philosophy

Our mission is to increase the number of successful products in the world. To do that, we build product and data tools that help you understand user behavior without losing control of your data.

In our view, third-party analytics tools do not work in a world of cookie deprecation, GDPR, HIPAA, CCPA, and many other four-letter acronyms. PostHog is the alternative to sending all of your customers' personal information and usage data to third-parties.

PostHog gives you every tool you need to understand user behavior, develop and test improvements, and release changes to make your product more successful.

PostHog operates in public as much as possible. We detail how we work and our learning on building and running a fast-growing, product-focused startup in ourhandbook.

Open-source vs. paid

This repo is available under theMIT expat license, except for theee directory (which has it'slicense here) if applicable.

Needabsolutely 💯% FOSS? Check out ourposthog-foss repository, which is purged of all proprietary code and features.

Using premium features (contained in theee directory) with a self-hosted instance require a PostHog license. To learn more,book a demo or see ourpricing page.

We’re hiring!

Come help us make PostHog even better. We're growing fastand would love for you to join us.

Contributors 🦸

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🦔 PostHog provides open-source product analytics, session recording, feature flagging and a/b testing that you can self-host.

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