Open-source GoSquared alternatives

PostHog is an open-source platform that bundles the tools product teams use to understand and improve what they ship. It captures event data, user sessions and errors in one place, and its newer self-driving mode aims to turn signals such as errors, rage clicks and failed queries into researched reports and pull requests that engineers review and merge.

The product suite includes product analytics with autocapture or manual instrumentation and SQL analysis, web analytics with a dashboard resembling Google Analytics, session replays for web and mobile, feature flags, experiments with statistical measurement, surveys, error tracking, logs, a data warehouse and a customer data platform. The back end is Python and the front end is React and TypeScript.

PostHog's repository license is listed as 'Other' on GitHub, so check which parts are open source and which are enterprise-only. It can be self-hosted, and the company also runs a managed cloud service. It suits product and engineering teams that prefer a single tool over separate analytics, flagging and replay vendors.

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.

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.

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.

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.

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.

Pirsch is the open-source core of Pirsch Analytics, a privacy-friendly web analytics product that started as an experiment in analyzing web traffic reliably from the server side with Go. It is a Go library that records page views and visitor data without cookies and without storing personal information.

It works by generating a fingerprint for each visitor, a hash of the IP address, User-Agent, the date and a salt, so visitors can be counted without invading their privacy. The README says this makes it GDPR, CCPA and PECR compliant, and that server-side use can track visitors who use ad blockers. Running the test suite requires a ClickHouse database. The same team offers a managed commercial solution built on this library, hosted in the EU, with an interactive demo of the dashboard.

The code is licensed under AGPL-3.0, and contributions are accepted only if ownership of the contribution is transferred to the maintainers. It is used by embedding it in your own Go application or by using the hosted product. It suits Go developers and site owners who want cookie-free analytics.