Open-source Kissmetrics 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.

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.

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.

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.

Talivia is an analytics platform that ties website traffic to revenue. This repository holds the focused open-source edition of the product at talivia.com: a self-hosted version that combines core web analytics, session replay, website collaborators, shared analytics, import and export, and customer revenue from Stripe, LemonSqueezy, Polar, Dodo, Yolfi, or a manual payment API. It is released under the MIT license and positions itself as an alternative to Datafast.

The open-source edition is a subset of the complete product. Talivia Cloud offers managed hosting and extra integrations, including Google Search Console, Bing Webmaster Tools, GitHub activity, and social mentions from X, Reddit, TikTok, and others. Documentation covers product and integration guides.

It is written in TypeScript and was created in 2026, so it is a young project that reached version 1.0.0. Talivia suits founders and small SaaS teams who want to see which traffic sources and pages lead to paying customers, while keeping analytics data on their own infrastructure.

Rakam is a modular analytics platform for building your own analytics service. This repository contains the API collector that receives customer event data from your apps, not the visualization product, which is offered separately as Rakam UI.

A typical workflow starts with collecting data from trackers, client libraries, webhooks and tasks, then enriching and sanitizing events with event mappers, and storing them in a data warehouse such as PostgreSQL, Snowflake or S3. Event data can then be analyzed with SQL and analytics APIs for funnel, retention and segmentation reports through Rakam Cloud, and developers can write their own modules.

Deployment is configured through a config.properties file. For data that fits on a single server the project recommends PostgreSQL 11, and for heavier loads events can go to a distributed log such as Apache Kafka or Amazon Kinesis in Avro format. Rakam is written in Java and licensed under AGPL-3.0, with cloud deployment tools for scaling clusters.