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12 alternatives ranked by real activity

Open-source StatCounter alternatives

A curated, ranked list of the 12 best open-source alternatives to StatCounter.

The best open-source alternative to StatCounter is Umami. If that doesn't suit you, other good options are Plausible, Matomo, GoAccess and Rybbit.

StatCounter alternatives are mainly analytics tools. 10 of them shipped code in the last 30 days, 12 can be self-hosted, and 5 use a permissive licence.

Last updated October 2, 2026 · ranked by GitHub stars, growth and recent commits

Umami

A privacy-first web analytics platform covering traffic, campaigns, behavior, conversions and revenue without cookies, available self-hosted or in the cloud.

GitHub stars
39k
Last commit
today
Latest release
v3.4.0
Licence
MIT
Self-hosted
Yes
Hosted version
Available
umami.isUmami homepage screenshot

Umami is a privacy-focused web analytics platform and a common open-source alternative to Google Analytics. It brings traffic, campaign performance, user behavior, conversions and revenue into one dashboard, and it does so without cookies and without cross-site surveillance of visitors.

Topics show it also supports audience segmentation, cohort analysis and user journey views alongside standard statistics and charts. The app is built with TypeScript and runs on Node.js 18.18 or newer with a PostgreSQL database of version 12.14 or newer. Optional settings let you change the API base URL, enable two-factor authentication by providing an encryption key, and switch on an MCP endpoint, which is disabled by default.

Umami is MIT licensed and can be installed from source or run on your own infrastructure; the project also offers a hosted cloud version for teams that do not want to maintain servers. A detailed getting-started guide lives at umami.is/docs. It suits site owners and product teams who want clean, compliant analytics they control.

Key features

  • Cookie-free web analytics
  • Traffic, campaign and conversion tracking
  • Revenue and conversion tracking
  • Cohort analysis and audience segmentation
  • User journey views
  • Optional two-factor authentication and MCP endpoint

Pricing: Free and open source under the MIT license; a hosted cloud version is also available.

Read more about UmamiWebsite GitHub

Plausible

A lightweight, cookie-free, privacy-first web analytics tool and Google Analytics alternative, available as a managed cloud or a self-hosted community edition.

GitHub stars
29k
Last commit
today
Latest release
v3.2.1
Licence
AGPL-3.0
Self-hosted
Yes
Hosted version
Available
plausible.ioPlausible homepage screenshot

Plausible Analytics is an open-source web analytics tool built around privacy. It is a lightweight, cookie-free alternative to Google Analytics that measures traffic rather than individuals: it keeps no personal data or IP addresses and uses no persistent identifiers, and the project states compliance with GDPR, CCPA and PECR. The company is made and hosted in the EU.

The dashboard is deliberately simple, with the key insights on a single page and no layers of menus or custom reports to build. The tracking script is tiny, which helps pages load faster, and you can also send custom events to measure goals. The stack uses Elixir with Phoenix, PostgreSQL and ClickHouse, with Tailwind CSS for the interface.

Plausible is AGPL-3.0 licensed and comes in two forms: a managed cloud service run by the company, which is paid, and a self-hosted community edition you operate yourself. A live demo and documentation let you try the dashboard first. It suits site owners and marketers who want straightforward, compliant analytics without cookie banners.

Key features

  • Cookie-free, privacy-first tracking
  • Single-page, clutter-free dashboard
  • Lightweight tracking script
  • Custom event and goal tracking
  • GDPR, CCPA and PECR compliance
  • Managed cloud or self-hosted edition

Pricing: Plans are priced by monthly pageviews: for up to 10k pageviews Starter is $9, Growth $14 and Business $19 per month. Enterprise is custom; there is a 30-day free trial.

Matomo

A full-featured open-source web analytics platform in PHP and MySQL that you run on your own server, built as a privacy-conscious alternative to Google Analytics.

GitHub stars
22k
Last commit
today
Latest release
5.14.0
Licence
GPL-3.0
Self-hosted
Yes
Hosted version
Available
matomo.orgMatomo homepage screenshot

Matomo, formerly known as Piwik, is an open web analytics platform written in PHP with MySQL storage. You download and install it on your own web server, and after a short installation you receive a JavaScript tracking tag to paste into the sites you want to measure, then see reports in real time. It positions itself as a free-software substitute for Google Analytics.

Privacy is built in, and its mission statement stresses giving every user full control of their data. According to the README it is used on more than 1,400,000 websites. Requirements are PHP 8.1 or newer, MySQL 8.0 or newer or MariaDB 10.6 or newer, and the PDO MySQL or MySQLi extension, and it is independent of operating system and web server. Topics also reference marketing and mobile analytics.

Matomo is released under the GPL-3.0 (or later) license. Self-hosting keeps data on your own servers, and the organization also offers Matomo Cloud as a managed option, with a marketplace of plugins. It suits organizations with data-protection requirements, such as public bodies and companies in privacy-regulated markets, that need dependable analytics they control.

Key features

  • Real-time web analytics reports
  • Self-hosted PHP and MySQL application
  • JavaScript tracking tag installation
  • Privacy-focused data ownership
  • Mobile and intranet analytics topics
  • Matomo Cloud as a managed option

Pricing: The self-hosted Community edition is free. Matomo Cloud starts at $26 a month for 50,000 hits and scales with traffic; a free trial is offered and Enterprise is quoted on request.

Read more about MatomoWebsite GitHub

GoAccess

A real-time web server log analyzer that shows traffic statistics in a terminal or a live HTML dashboard, built for sysadmins and DevOps engineers.

GitHub stars
21k
Last commit
yesterday
Licence
MIT
Self-hosted
Yes
goaccess.ioGoAccess homepage screenshot

GoAccess is an open-source tool that analyzes web server access logs as they are written and displays the results either in a terminal or in a live HTML report in your browser. It is aimed at system administrators, DevOps engineers and security professionals who want quick HTTP statistics and visual server reports without sending logs to an external service.

It needs very little configuration: you run it against an access log, choose the log format, and it parses the file and shows the stats. Terminal panels refresh about every 200 milliseconds and the HTML output updates every second. It can track application response time, helping spot slow requests, and works with common servers such as Nginx and Apache. Topics also reference privacy and GDPR, since the analysis runs on your own infrastructure.

GoAccess is written in C and licensed under MIT. Because it reads logs locally rather than using a tracking script, it appeals to people who want analytics without cookies or JavaScript on the client. It also serves as a quick way to monitor traffic, detect anomalies and troubleshoot issues on a server.

Key features

  • Real-time log parsing in the terminal
  • Live HTML dashboard output
  • Works with Nginx and Apache logs
  • Minimal configuration needed
  • Application response time tracking
  • Runs on Linux and other Unix-like systems

Pricing: Free and open source under the MIT license.

Read more about GoAccessWebsite GitHub

Rybbit

A cookieless, privacy-friendly open-source web and product analytics platform offered as a hosted service or for self-hosting, positioned as an alternative to Google Analytics.

GitHub stars
13k
Last commit
yesterday
Latest release
v2.9.0
Licence
AGPL-3.0
Self-hosted
Yes
Hosted version
Available
rybbit.comRybbit homepage screenshot

Rybbit is an open-source web and product analytics platform that avoids cookies and aims to be easier to read than traditional analytics suites. It is presented as a privacy-friendly alternative to Google Analytics and can be set up in a couple of minutes with a tracking script added to a site.

It covers the usual web metrics, including sessions, unique users, pageviews, bounce rate and session duration, and goes further with session replays, funnels, retention and user journey dashboards. Data can be filtered across more than fifteen dimensions, custom events carry JSON properties, locations are tracked down to city level with map views, and a real-time dashboard is included. Organizations and an unlimited number of sites are supported.

Rybbit is licensed under AGPL-3.0 and written in TypeScript. You can use the hosted service for the quickest start or deploy it on your own VPS for full control, and a live demo shows it running on a production site. The README compares it with GA4, Plausible and Cloudflare analytics on openness, self-hosting and privacy.

Key features

  • Cookieless, privacy-friendly tracking
  • Sessions, pageviews, bounce rate and duration
  • Session replays of user visits
  • Funnels, retention and user journeys
  • Custom events with JSON properties
  • City-level location tracking with maps
  • Real-time analytics dashboard
  • Multiple organizations and unlimited sites

Pricing: Standard is $13 and Pro $26 per month on annual billing for 100,000 monthly pageviews, rising with traffic. Includes a 7-day free trial; Enterprise is custom.

Read more about RybbitWebsite GitHub

GoatCounter

GoatCounter is a lightweight, privacy-friendly web analytics service you can use as a hosted app or self-host, aimed at replacing Google Analytics.

GitHub stars
6k
Last commit
5 days ago
Latest release
v2.7.0
Self-hosted
Yes
Hosted version
Available
goatcounter.comGoatCounter homepage screenshot

GoatCounter is an open-source web analytics platform that focuses on being easy to use and respecting visitor privacy. It does not track users with unique identifiers, and the README says no GDPR notice is needed. Site owners also get fine-grained control over what data is collected. The tool is written in Go.

It can be used in two ways: as a hosted service at goatcounter.com, which the README describes as free, or by running it yourself. The source is described as fully free software that may be self-hosted without restrictions, and a live demo is available. The project positions itself as an alternative to Google Analytics and Matomo and invites financial contributions to support development.

The license is listed as 'Other' on GitHub, so read the repository for the exact terms. GoatCounter suits bloggers, small sites and developers who want simple page-view statistics without cookie banners or heavy dashboards.

Key features

  • Privacy-aware analytics without unique identifiers
  • No GDPR notice required, per project
  • Fine-grained control over collected data
  • Hosted service or self-hosted deployment
  • Lightweight Go application
  • Live demo available

Pricing: The README describes a free hosted service and invites financial contributions; the code can be self-hosted without restrictions.

Ackee

Ackee is a self-hosted, Node.js web analytics tool that keeps visitor data anonymized and presents simple traffic statistics through a minimal interface.

GitHub stars
4.7k
Last commit
13 days ago
Latest release
v3.6.1
Licence
MIT
Self-hosted
Yes
ackee.electerious.comAckee homepage screenshot

Ackee is a self-hosted analytics tool for website owners who care about privacy. It runs on your own server, analyzes traffic to your sites and shows useful statistics in a minimal interface. The project argues that you do not need to track every detail of your visitors, and it anonymizes collected data so that individual users cannot be identified.

The developers position Ackee for people who do not need a full-featured marketing analytics platform such as Google Analytics or Matomo. It offers a GraphQL API with a playground, a live demo and a website with documentation. The server is a Node.js application that stores its data in a database you operate.

Ackee is MIT-licensed and designed for self-hosting, so there is no vendor-run cloud version. It suits bloggers, small businesses and developers who want straightforward traffic numbers without cookies or third-party data sharing.

Key features

  • Self-hosted Node.js analytics
  • Anonymized visitor tracking
  • Minimal statistics interface
  • GraphQL API with playground
  • Live demo available
  • Design centered on visitor privacy

Pricing: Free and open source under the MIT license.

Read more about AckeeWebsite GitHub

Open Web Analytics

Self-hosted PHP web analytics platform and JavaScript tracker offered as an open-source alternative to Google Analytics, tracking multiple sites from one server.

GitHub stars
2.7k
Last commit
today
Latest release
1.14.0
Licence
GPL-2.0
Self-hosted
Yes
openwebanalytics.comOpen Web Analytics homepage screenshot

Open Web Analytics is an open-source alternative to commercial web analytics tools such as Google Analytics. It lets you collect and keep data about the visitors to your own websites and applications on your own server, so you stay in control of that data. It is written in PHP and released under the GPL-2.0 license.

The repository installs the OWA server and a first-party JavaScript tracking client that can be added to any web page. It tracks visitors, pageviews, e-commerce transactions, and configurable actions, and a single server instance can track an unlimited number of sites. A reporting dashboard provides views of the collected data, with options to customize reports.

For WordPress there is an integration plugin, and for other PHP applications there is an OWA PHP SDK. The project asks for sponsorship to support its development. It suits site owners and developers who want privacy-conscious analytics on infrastructure they manage, instead of sending traffic data to an advertising company.

Key features

  • Visitor and pageview tracking
  • E-commerce transaction and custom action tracking
  • Unlimited websites per server instance
  • First-party JavaScript tracker
  • Reporting dashboard
  • WordPress plugin and PHP SDK

Pricing: Free and open source under the GPL-2.0 license.

Fathom Lite

Fathom Lite is the open-source, self-hosted version of Fathom Analytics, a simple privacy-focused alternative to Google Analytics, written in Go.

GitHub stars
8k
Last commit
6 mo ago
Latest release
v1.3.1
Licence
MIT
Self-hosted
Yes
Hosted version
Available
usefathom.comFathom Lite homepage screenshot

Fathom Lite is the original open-source release of Fathom Analytics, a privacy-focused website analytics product positioned as an alternative to Google Analytics. It provides simple, readable traffic statistics without the complexity of larger analytics suites, and it is written in Go with a Preact front end.

The README explains that the Lite version is no longer receiving new features but will be maintained long term, with bug fixes as needed. The hosted Fathom Analytics product is a separate paid service with a newer dashboard, an API, custom events, ecommerce tracking, cookie-free tracking, EU routing, email reports and managed infrastructure, and a comparison table lists the differences. Lite is self-hosted, uses cookies, and has an older interface.

Fathom Lite is licensed under MIT and runs on your own server. The hosted service is priced based on monthly pageviews and offers a 30-day free trial. The Lite version suits developers and small sites that want basic, self-managed analytics, while teams that do not want to maintain servers are pointed to the hosted product.

Key features

  • Simple website traffic statistics
  • Privacy-focused analytics
  • Self-hosted Go application
  • Preact-based dashboard
  • Long-term bug-fix maintenance
  • Upgrade path to hosted Fathom

Pricing: Fathom Lite is free and open source under MIT; the hosted Fathom Analytics is priced by monthly pageviews and offers a 30-day free trial.

Swetrix

A cookieless, privacy-first web analytics platform with error tracking, performance monitoring and session replays, available self-hosted or as a cloud service.

GitHub stars
1.2k
Last commit
2 days ago
Latest release
tracker-node@3.5.0
Licence
AGPL-3.0
Self-hosted
Yes
Hosted version
Available
swetrix.comSwetrix homepage screenshot

Swetrix is an open-source web analytics platform presented as a privacy-respecting alternative to Google Analytics. It is cookieless and designed to comply with GDPR without consent banners, with anonymized data and no cross-device tracking, and it has been developed in the open since 2021.

Beyond traffic statistics such as top pages, locations, devices, traffic sources and UTM campaigns, it offers custom events and properties, sessions and user flows, funnels, real-user performance metrics, client-side error tracking and session replays. The README says some features, such as network intelligence and session replays, are available on the cloud service. A lightweight tracking script feeds a real-time dashboard.

Swetrix is built with TypeScript, NestJS, Redis, MySQL and ClickHouse and is licensed under AGPL-3.0. You can try it on Swetrix Cloud, which is free to start, or self-host it with Docker. A live demo and documentation are available. It suits website owners and product teams who want analytics, error tracking and performance data in one privacy-focused tool.

Key features

  • Cookieless, GDPR-friendly analytics
  • Real-time dashboard with traffic stats
  • Custom events and funnels
  • Error tracking for client-side issues
  • Performance monitoring metrics
  • Session replays on the cloud service

Pricing: The self-hosted Community Edition is free; the cloud has no free plan but offers a 14-day trial. Standard starts at $19 and Plus at $39 per month, scaling with event volume; Enterprise is custom.

Read more about SwetrixWebsite GitHub

2 more StatCounter alternatives

StatCounter alternatives: questions

What is the best open-source alternative to StatCounter?
Umami is the top-ranked open-source alternative to StatCounter on Enlisted: A privacy-first web analytics platform covering traffic, campaigns, behavior, conversions and revenue without cookies, available self-hosted or in the cloud. Other strong options are Plausible, Matomo, GoAccess and Rybbit.
Are these StatCounter alternatives free?
All 12 are open source, so the code is free to use under its licence, and all of them can be self-hosted on your own server or computer. 8 also offer a paid or managed cloud version if you'd rather not host it yourself.
How is this list of StatCounter alternatives ranked?
By a score built from GitHub stars, star growth over the last 30 days and how recently the code changed. 10 of these projects shipped code in the last 30 days. Data is refreshed daily, and nobody can pay to move up.

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