Posthog | Scalable Open Source Data Analytics Tool
open source data analytics tool

Posthog  Free Business Intelligence Software

Track Your Customers And Websites With Open Source BI Tool

Automate every event on your website using Posthog analytics. It is open source and provides full data control, insight visualizations and API for integrations.

Posthog is an open source data analytics tool that provides out-of-the-box features to understand the website’s analytics. There is a complete system of auto event auto capturing in which it captures the event right on time when any activity takes place on the website. Further, it is self-hosted and you completely own your data. After that, this open source analytics software identifies the more engaging and less engaging part of your site. Moreover, the feature flag option informs about the impact of any new feature in the application. You can easily roll out or roll back new features depending upon their usage.

This business intelligence dashboard software offers visualization of user’s behavior where they drop off after certain steps. In addition, this open source bi tool records the user’s sessions where you can see the user’s activities in the form of video. Then, you can analyze where users find ease/difficulty in navigation. However, all these things happen on a very easy and intuitive dashboard.

Posthog provides support for many languages such as JavaScript, Python, and Ruby. This open source data analytics tool is written in Python and TypeScript. There is a web API that is used for third-party libraries. Above all, it offers comprehensive documentation regarding development and deployment.

System Requirements

Requirements to set up Posthog include:

  • Python 3.8
  • Docker
  • Git
  • Yarn


Posthog features include:

  • API
  • Self-Hosting
  • Data Import
  • Full Data Control
  • Event Auto capturing
  • Session Recording
  • External Integrations
  • Feature Flags
  • Conversion/Retention Tracking
  • Multi-Site
  • Push Notifications

Installation Instructions

Once the pre-requisites are installed, run the following command to download the source files:

git clone

After that, run the following command to set up the database:

docker-compose -f up -d redis db

Then, go into the cloned directory and create and activate the virtual environment:

cd posthogpython3 -m venv envsource env/bin/activate

After that, run the following commands to install dependencies:

pip install -r requirements.txtpip install -r requirements-dev.txt 

In the end, run the application with the following commands:

DEBUG=1 python3 migrateDEBUG=1 ./bin/start

Finally, access the application in the browser at the following link.