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plausible/analytics

Open source, cookie-free web analytics tool positioned as a privacy-first alternative to Google Analytics, available as cloud or self-hosted.

Open-source alternative to:Google Analytics

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What is it?

Plausible Analytics is a web analytics tool that tracks website traffic without cookies and without storing personal data or IP addresses. Its dashboard puts the key metrics on a single page, and the tracking script is designed to be very small so it does not slow page loads. It is offered as a managed cloud service or as a self-hosted Community Edition.

The project supports goal and conversion tracking with custom events, outbound link clicks, file downloads and 404 pages, plus single-page app routing. Teams can invite members with role-based access, share dashboards publicly, receive scheduled email or Slack reports, and integrate Google Search Console data. Stats can be exported as CSV or read through a stats API, and events can be sent through an events API.

The stack is Elixir with Phoenix on the backend, PostgreSQL for general data, ClickHouse for analytics storage, and React with Tailwind CSS on the frontend. The Community Edition omits some premium features such as marketing funnels, ecommerce revenue goals, SSO and the sites API.

Key features

  • 01Cookie-free tracking that does not store personal data or IP addresses
  • 02Lightweight script designed to avoid slowing page loads
  • 03Goal, conversion and custom event tracking, including outbound clicks and file downloads
  • 04Dashboard sharing, role-based team access and scheduled email or Slack reports
  • 05Google Search Console integration and CSV, stats API and events API access

Use cases

  • Replacing Google Analytics on a website while avoiding cookie consent banners
  • Self-hosting web analytics so all visitor data stays on your own servers
  • Sending weekly traffic reports to a marketing or business team via email or Slack
  • Tracking conversions and campaign performance on single-page applications

Quick start

  1. 1

    Sign up for the managed cloud service at plausible.io/register

  2. 2

    Or follow the Plausible CE installation instructions in the community-edition repository to self-host

Things to know

  • Managed cloud service is a paid subscription.
  • Self-hosted Community Edition lacks premium features such as SSO, the sites API and ecommerce revenue goals.
  • Community Edition is a long-term release published twice per year and receives community-only support.
  • Licensed under AGPL-3.0, a copyleft license.

Topics

#web-analytics#privacy#self-hosted#elixir#phoenix#clickhouse#postgresql#google-analytics-alternative#analytics#analytics-dashboard

FAQ

What is analytics?
Open source, cookie-free web analytics tool positioned as a privacy-first alternative to Google Analytics, available as cloud or self-hosted. Plausible Analytics is a web analytics tool that tracks website traffic without cookies and without storing personal data or IP addresses. Its dashboard puts the key metrics on a single page, and the tracking script is designed to be very small so it does not slow page loads. It is offered as a managed cloud service or as a self-hosted Community Edition.
Is analytics free to use? What license does it have?
analytics is open source under the AGPL-3.0 license. Check the license terms before using it in commercial products.
Is analytics still maintained?
Actively maintained. The last commit to analytics was on Oct 20, 2026.
What can I use analytics for?
Replacing Google Analytics on a website while avoiding cookie consent banners Self-hosting web analytics so all visitor data stays on your own servers Sending weekly traffic reports to a marketing or business team via email or Slack Tracking conversions and campaign performance on single-page applications
How do I install analytics?
Sign up for the managed cloud service at plausible.io/register Or follow the Plausible CE installation instructions in the community-edition repository to self-host
Where can I get analytics?
The source code and installation instructions are on GitHub: https://github.com/plausible/analytics

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