Open-source Google Analytics alternatives

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.

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.

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.

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.

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.

OpenPanel is a web and product analytics platform, released as open source, that sets out to combine the depth of Mixpanel with the simplicity of Plausible. It is presented as an alternative to Mixpanel and Google Analytics, with optional self-hosting and cookieless tracking by default.

Its feature list covers funnels and cohorts, user profiles with session history, session replay that has privacy controls, real-time dashboards, built-in A/B testing, event and funnel alerts, custom dashboards, revenue tracking for purchases, subscriptions and lifetime value, SDKs and an API for web, mobile and server-side tracking, integrations such as Google Search Console, and an MCP server so AI clients can query user data. A comparison table in the README sets it against Mixpanel, GA4 and Plausible.

OpenPanel is written in TypeScript and licensed under AGPL-3.0. It can be self-hosted for full control of data, and a hosted version with sign-in is also available. The project emphasizes transparent pricing with no hidden costs or usage limits. It suits product teams that want privacy-friendly analytics with product-level depth.

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.

Countly is a product analytics and customer engagement system for organizations that insist on owning their data. Teams use it to see how people behave in mobile, web, desktop and connected products, to improve product experiences, and to automate and personalize how they engage with customers.

The repository topics reflect a broad toolset: web and mobile analytics, crash analytics, push notifications, feature flags, remote configuration, user feedback, dashboards and user journeys. Privacy is a central theme, with references to GDPR, COPPA and HIPAA, and the README stresses that, unlike SaaS-only tools, it can run on your own premises or inside a private cloud. SDKs are provided for many platforms, and the project has a Discord community.

The server code is JavaScript and published under a license that GitHub lists as 'Other', so check the repository for the terms that apply to the edition you use. Countly also offers hosted and enterprise options through the vendor. It suits product and marketing teams that need analytics without sending data to a third party.

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.

Tianji is an open-source project that combines website analytics, uptime monitoring, and server status reporting in one application. The authors built it because they were running separate tools for page views, network availability, and server health, and wanted a single place for all three. It is released under the Apache-2.0 license.

On the analytics side it covers page views and visits in the style of Google Analytics or Umami, the uptime monitor checks the availability and network quality of sites, and server status data is reported from your machines. The README also describes a telemetry use: developers of self-deployable applications can collect basic information about how others install their software.

Tianji is written in TypeScript and deployed with Docker, and its topics reference Umami and Uptime Kuma as comparable tools. It suits developers, indie hosts, and small teams who want to keep analytics and monitoring data under their own control instead of relying on separate hosted products.