Open-source Simple 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.

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.

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.

Counterscale is a web analytics tracker and dashboard that you host yourself on Cloudflare. It is meant to be easy to deploy and maintain and to cost close to nothing to operate, with the README noting that Cloudflare's free tier could hypothetically support up to 100,000 hits per day. It is released under the MIT license and sponsored by Modem.

It runs mainly on Cloudflare Workers and the Workers Analytics Engine. One limitation is that, as of February 2025, the Analytics Engine keeps data for a maximum of 90 days, so Counterscale can only show the last 90 days of recorded data; the project describes ways to work around this. Topics position it as an alternative to Google Analytics for website statistics.

A small JavaScript tracker is added to your site, and the dashboard shows traffic figures from your own Cloudflare account, so visitor data stays in your infrastructure. It suits developers, indie makers, and small sites that want privacy-friendly analytics without a database to maintain.

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.

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.

Databuddy is a privacy-focused analytics platform that aims to show where visitors come from, what they do and where they drop off, so teams can decide what to build or improve next. Its stated foundation is privacy, and its topics describe it as GDPR-compliant and as an alternative to Google Analytics.

You can use a hosted version of Databuddy, or run it yourself with Docker Compose. In self-host mode, events go straight to ClickHouse and hosted billing and Databuddy's own telemetry are turned off. The stack includes a dashboard, an API, the Basket event collector, an uptime worker and a short-link service, with PostgreSQL and Redis alongside. Email and AI features are optional, and secrets and passwords are set in an environment file.

Databuddy is written in TypeScript and licensed under AGPL-3.0. The README notes that the self-hosting steps need a release containing the init image and that none had been published when it was written, and the latest tagged release is an early 0.0.1, so the project is young. It suits product teams that want ownership of their analytics data.

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.