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* Add djangorestframework-csv external package * Export a paginated csv at /api/person.csv * Do not paginate when a when csv export is requested * Add export button to download cohort as a csv file * Fix styling errors caught by deepsource.io * Suppress checks on an import that mypy is unable to follow * Dynamically pick person properties including deep nested properties |
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| posthog | ||
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| app.json | ||
| CHANGELOG.md | ||
| CONTRIBUTING.md | ||
| dev.Dockerfile | ||
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| gunicorn.config.py | ||
| jsconfig.json | ||
| latest_migrations.manifest | ||
| LICENSE | ||
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| mypy.ini | ||
| package.json | ||
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| README.md | ||
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PostHog (Community Edition)
PostHog is open source product analytics, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties. It's a 1 click to deploy on your own infrastructure, with full API/SQL access to the underlying data.
Quick start
1-click Heroku deploy:
See PostHog docs for in-depth walk throughs on functionality.
Join the PostHog Users Slack if you need help, want to chat, or are thinking of a new feature idea.
Features
- Event-based analytics at a user level - see which users are doing what in your application.
- 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, Node, Go + API for anything else.
- Beautiful graphs, funnels, user cohorts, user paths and dashboards.
- Super easy deploy using Docker or Heroku.
Event autocapture
Philosophy
Many engineers find it painful to work out how their products are being used. This makes design decisions tough. PostHog solves that.
We also 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 letting anyone easily perform powerful analytics.
It means you can know who is using your app, how they're using, and where you lose users in the sign up process.
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, and creating user profiles. We are an open source alternative to Mixpanel, Amplitude or Heap, designed to be more developer friendly.
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 deployment
See docs for production deployment
Developing locally
See docs for developing locally
Open source / Paid
This repo is entirely MIT licensed. We charge for things like user permissioning and auditability, a/b testing and dedicated support. Please email hey@posthog.com and we will gladly help with your implementation.
Contributors 🦸
