PostHog

PostHog is open source product analytics. Automate the collection of every event on your website or app, and stay in control of your users’ data.

Quick start

1 click Heroku deploy:

See PostHog docs for in-depth walk throughs on functionality.

Features

• Event-based analytics.
• Complete control over your data -- host it yourself.
• Automatically capture clicks and page views to do analyze what your users are doing retroactively.
• Libraries for JS, Python, Ruby + API for anything else.
• Beautiful graphs, funnels and dashboards.
• Super easy deploy using Docker or Heroku.

Philosophy

We strongly believe 3rd party analytics don't work anymore in a world of Cookie laws, GDPR, CCPA and lots of other 4 letter acronyms. There should be an alternative to sending all of your users' personal information and usage data to 3rd parties.

PostHog gives you full control over all your users' data, while being able to do powerful analytics.

What's cool about this?

PostHog is the only product-focused open source analytics library, with an event and user-driven architecture. That means tracking identifiable (where applicable) user behavior, event funnels, and event autocapture. We are an open source alternative to Mixpanel, Amplitude or Heap.

There are a couple of session-based open source libraries that are nice alternatives to Google Analytics. That's not what we are focused on.

One-line docker preview

docker run -t -i --rm --publish 8000:8000 -v postgres:/var/lib/postgresql posthog/posthog:preview

This image has everything you need to try out PostHog locally! It will set up a server on http://127.0.0.1:8000.

Deploy to Heroku

Production installation

The preview image has Postgres running locally and runs in debug mode.

For a production installation you have a few options:

Deploy to Heroku

Heroku is the quickest way to get a production PostHog environment up-and-running.

We recommend getting at the very least a hobby-dev Postgres and Dyno for low volumes of events.

Docker

Using the posthog/posthog:latest Docker image.

On Ubuntu

1. Install Docker
2. Install Docker Compose
3. Run the following:

sudo apt-get install git
git clone https://github.com/posthog/posthog.git
cd posthog
docker-compose build
docker-compose up -d

From source

1. Make sure you have Python >= 3.7 and pip installed
2. Install Yarn
3. Run the following:

git clone https://github.com/posthog/posthog.git
yarn build
pip install -r requirements.txt
gunicorn posthog.wsgi --config gunicorn.config.py --log-file -

Development

Running backend (Django)

1. Make sure you have python 3 installed python3 --version
2. Make sure you have postgres installed brew install postgres
3. Start postgres, run brew services start postgresql
4. Create Database createdb posthog
5. Navigate into the correct folder cd posthog
6. Run python3 -m venv env (creates virtual environment in current direction called 'env')
7. Run source env/bin/activate (activates virtual environment)
8. Run pip install -r requirements.txt. If you have problems with this step (TLS/SSL error), then run ~ brew update && brew upgrade followed by python3 -m pip install --upgrade pip, then retry the requirements.txt install.
9. Run migrations python manage.py migrate
10. Run DEBUG=1 python manage.py runserver

Running backend tests

bin/tests

Running frontend (React)

If at any point, you get "command not found: nvm", you need to install nvm, then use that to install node.

1. Make sure you are running Django above in a separate terminal
2. Now run bin/start-frontend
3. Optional: If you're making changes to the editor, you'll need to do cd frontend && yarn start-editor to watch changes.

Create a new branch

If you are working on some changes, please create a new branch, submit it to github ask for approval and when it gets approved it should automatically ship to Heroku

• Before writing anything run git pull origin master
• Then create your branch git checkout -b %your_branch_name% call your branch something that represents what you're planning to do
• When you're finished add your changes git add .
• And commit with a message git commit -m "%your feature description%"
• When pushing to github make sure you push your branch name and not master! Use git push origin %your_branch_name%