Private.sh

Private.sh

Private.sh is an open-source self-hosted alternative to Google Analytics that respects user privacy. It provides website traffic analytics and statistics without using cookies or tracking users.
analytics privacy selfhosted traffic statistics open-source

Private.sh: Open-Source Self-Hosted Analytics Alternative

Respect user privacy with Private.sh, a self-hosted alternative to Google Analytics providing website traffic analytics and statistics without cookies or tracking.

What is Private.sh?

Private.sh is an open-source self-hosted web analytics solution built with a strong focus on privacy. It allows website owners to track and analyze traffic to their sites without using cookies or other tracking techniques that infringe on user privacy.

Some key features of Private.sh include:

  • Visitors are completely anonymous - no personally identifiable data is collected
  • No cookies, local storage, fingerprints or other tracking used
  • Easy to install and deploy - runs on a Linux server or inside a Docker container
  • Provides standard web analytics stats like visit counts, top pages, referrers, country and device data
  • Lightweight and optimized for performance
  • Customizable - supports plugins for additional stats or integrating with other tools
  • Client-side script snippets available for integration with most sites and CMS platforms

Overall, Private.sh focuses solely on providing essential website analytics to site owners while ensuring complete user privacy. For those looking for an ethical, non-tracking alternative to services like Google Analytics, Private.sh checks all the boxes.

Private.sh Features

Features

  1. Self-hosted web analytics
  2. Open source and free
  3. Customizable dashboards
  4. Pageview and event tracking
  5. Geolocation and referrer tracking
  6. Ad blocker and bot filtering
  7. Data export in multiple formats

Pricing

  • Open Source
  • Self-Hosted

Pros

Respects user privacy

Full data ownership and control

No third-party tracking

Transparent code and methodology

Lower resource usage than GA

Easy self-hosted setup

Cons

Requires technical expertise to setup and manage

Limited to web analytics only

Less out-of-box functionality than GA

Smaller user community than GA


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