Best Free & Open Source Alternatives to Mixpanel

Umami is an open-source, privacy-first analytics platform covering the whole funnel: acquisition, behaviour, conversion, and revenue. Traffic reports show pageviews, visitors, referrers, locations, devices, and real-time activity, while UTM campaigns, trackable links, and pixels show which channels bring people in. Behaviour goes past pageviews with custom events, journeys, session replays, heatmaps, segments, cohorts, and retention, and conversion reporting adds goals, funnels, and attribution. Events can carry values, so the revenue report can tie income back to specific pages, campaigns, and visitor segments.

Analysis is organised around reusable views. Boards let you arrange focused dashboards of metrics and charts, annotations pin dated notes such as launches or campaign starts onto the timeline, and compare and performance reports break numbers down by page, channel, or device. Teams share a workspace with roles, websites can be shared publicly through a share URL, and two-factor authentication is available once an encryption key is configured. Data collection uses a small tracker script with no cookies, no cross-site tracking, and no automatic collection of personal data, so a consent banner is not usually required.

Everything the UI does is also reachable programmatically. Account API keys gate a REST API and a typed TypeScript client published as @umami/api-client, generated from OpenAPI contracts, with website-scoped endpoints for analytics queries, saved funnels and goals, performance, UTM metrics, and annotations. Since v3.4 the platform also ships an MCP server, wrapping traffic, events, sessions, funnels, goals, journeys, retention, attribution, revenue, performance, segments, and annotations as read-only tools for AI assistants, over a remote HTTP endpoint or locally through @umami/mcp.

Self-hosting runs on Node.js 18.18 or newer against a PostgreSQL 12.14 or newer database, with official Docker images and a Compose file that brings up the app and database together. Schema migrations run during the build, and the first build creates an admin user with the default password umami, which should be changed immediately. Umami Cloud is the managed alternative with backups, updates, and scaling handled for you, and the feature set is otherwise the same.

PostHog is an all-in-one, open-source product analytics platform that combines event tracking, session replay, feature flags, and A/B testing into a single product. It is designed to replace the typical stack of multiple SaaS tools — web analytics, session recording, feature flag services, and experimentation platforms — with one self-hostable system. PostHog can be deployed via Docker or used as a managed cloud offering, and supports event capture from web, mobile, and server-side sources.

Key features include autocapture, custom event tracking, funnels, user paths, heatmaps, feature flags with targeting rules, and experimentation tools. The platform integrates with developer workflows through API access, webhooks, and SDKs for JavaScript, Python, Go, and most major languages.

PostHog is built for product teams that want full ownership of their usage data without stitching together five separate tools. With 37k+ stars on GitHub and an active contributor community, it is one of the most mature open-source alternatives to Google Analytics, Mixpanel, and Amplitude.

Matomo (formerly Piwik) is the leading open-source web analytics platform, offering a comprehensive privacy-respecting alternative to both Google Analytics and Google Search Console. With over 21,000 GitHub stars, it is trusted by over 1 million websites and used by governments, universities, and organizations worldwide.

Beyond standard web analytics, Matomo includes a Search Engine Keywords Performance plugin that imports search query data from Google Search Console, Bing Webmaster Tools, and other sources directly into your analytics dashboard. This allows you to see keyword rankings, impressions, clicks, and click-through rates alongside your full visitor analytics — without needing to use Google Search Console itself.

Licensed under GPL-3.0, Matomo is fully self-hostable on PHP/MySQL servers and is also available as a managed cloud service at matomo.org. It provides GDPR-compliant analytics with no data sampling, 100% data ownership, and no data sharing with advertising networks. For organizations exiting the Google ecosystem, Matomo is the all-in-one analytics solution that covers both web analytics and search performance reporting.

Plausible is a lightweight, open-source web analytics platform built as a privacy-friendly alternative to Google Analytics. It uses no cookies and no persistent identifiers, does not collect personal data, and is designed to run without a consent banner. The tracking script is roughly 1 KB — about 54 times smaller than Google Analytics — so it adds little weight to page loads. The hosted service runs on EU-owned infrastructure and keeps visitor data in the EU.

The dashboard focuses on the metrics most site owners actually use: visitors, page views, bounce rate, visit duration, entry and exit pages, locations, devices, referrers and UTM campaigns. On top of that, Plausible tracks scroll depth, outbound links, file downloads and form submissions automatically, and supports goals, custom events and properties, funnels, user journeys, segments, revenue tracking, Google Search Console integration and traffic from AI tools such as ChatGPT, Perplexity and Claude. Built-in bot filtering, CSV export, a stats API, GA4 import and a Looker Studio connector cover reporting and migration needs.

Plausible comes in two editions. Plausible Cloud is the managed service with traffic-based Starter, Growth and Business plans and a 30-day free trial (there is no permanent free cloud tier). Plausible Community Edition is the free, self-hosted release under AGPL-3.0, typically deployed with Docker alongside PostgreSQL and ClickHouse. CE omits some premium capabilities — funnels, user journeys, ecommerce revenue goals, SSO, the Sites API and advanced bot filtering — so teams that need those features usually choose the cloud.

Open Web Analytics (OWA) is an open-source alternative to commercial analytics tools like Google Analytics. It gives you complete control over the data you collect about your website or application usage, ensuring privacy compliance and data ownership.

OWA provides comprehensive tracking capabilities including page views, click tracking, heatmaps, and e-commerce analytics. It can be easily integrated with popular content management systems like WordPress and MediaWiki, or used as a standalone tracking solution for any website.

With OWA, your analytics data stays on your own servers, eliminating concerns about third-party data sharing and ensuring compliance with privacy regulations like GDPR. The platform is built on PHP and MySQL, making it easy to deploy on most web hosting environments.

OpenPanel is an open-source product and web analytics platform built as a privacy-friendly alternative to tools like Mixpanel and Amplitude. It allows you to track user interactions, measure key metrics, and analyze behavior without relying on invasive tracking methods or third-party cookies.

With OpenPanel, you can set up event tracking to record specific actions users take, then explore the data through features like funnels, retention charts, and real-time dashboards. It also supports user profiles, so you can see individual user journeys, segment your audience, and understand how engagement changes over time.

Because it’s open-source, you can self-host OpenPanel on your own infrastructure, giving you full control over your analytics data and ensuring compliance with privacy regulations like GDPR. The interface is designed to be clean and intuitive, making it easy to start collecting insights quickly, while still offering flexibility for advanced custom event tracking and integration into existing systems.

It’s particularly appealing for developers and teams who want a Mixpanel-like analytics experience but prefer full data ownership, transparency, and no vendor lock-in.

Swetrix is a privacy-first, cookie-less web analytics platform built as an open-source alternative to Google Analytics and other commercial tracking services. It provides comprehensive website analytics including visitor tracking, page views, referral sources, and custom events — all without relying on cookies or compromising user privacy.

In addition to standard web analytics, Swetrix offers website speed monitoring and error tracking capabilities, making it an all-in-one observability solution for website owners. The platform is built on a modern tech stack using NestJS and React, with ClickHouse powering high-performance analytics queries and Redis handling caching.

Swetrix can be self-hosted via Docker for complete data sovereignty, or used as a managed cloud service at swetrix.com. Licensed under AGPL-3.0, it ensures full transparency and gives organizations full control over their analytics data without vendor lock-in.

Vince is a self-hosted web analytics platform focused on privacy and operational simplicity. It tracks visitor behaviour — page views, sessions, traffic sources, custom events, goal conversions, file downloads, outbound links, and 404 errors — with a tracking script under 1KB that has no noticeable impact on page load time. The platform is fully GDPR, CCPA, and PECR compliant without requiring cookie consent banners.

Vince is distributed as a single binary with no external runtime dependencies, making deployment and maintenance straightforward. It manages its own TLS certificates automatically and uses a custom columnar storage engine built on Compressed Roaring Bitmaps for fast, efficient queries. An unlimited number of websites and events can be tracked in a single installation.

Vince is designed for developers, privacy-conscious organisations, and anyone who wants accurate web analytics on their own infrastructure without the ongoing cost of managed analytics services or the complexity of multi-service deployments.

GoatCounter is an open-source web analytics platform built as a simpler, privacy-aware alternative to Google Analytics and Matomo. It runs as a free hosted service at goatcounter.com or on your own server. The default integration is one script tag adding roughly 3.5 KB, and there are no cookies or cross-site identifiers: unique visits are counted with a non-identifiable hash that is discarded after a short window, so a GDPR consent banner is normally unnecessary. Reports cover pageviews, referring sites, campaigns, browsers, screen sizes, and approximate location, and the interface is built with screen-reader accessibility as a first-class requirement.

Data can arrive four ways: the JavaScript tracker, a no-JavaScript image pixel, your application's backend middleware through the JSON API, or an import of nginx, Apache, Caddy, or CloudFront log files. Events are declared with a data-goatcounter-click attribute or fired from JavaScript through count({ event: true }), and campaigns are picked up automatically from utm_campaign or campaign parameters plus a source such as utm_source, ref, or src. Paths can be overridden, single-page apps are supported, one account can hold several sites, and everything is exportable as JSON or CSV on demand.

Self-hosting is deliberately small: a single statically compiled binary with no runtime dependencies beyond a SQLite file or a PostgreSQL connection. SQLite is the default and copes with smaller sites, while PostgreSQL is recommended when traffic is spread across many distinct pages. Official Docker images, Podman, and a compose file with SQLite and PostgreSQL variants are provided, and the server can terminate TLS itself with automatic ACME certificates. Building from source needs Go 1.21 or newer, and database migrations run with goatcounter db migrate or automatically via the -automigrate flag.

Prisme Analytics is a privacy-first web analytics platform that gives website owners full ownership of their visitor data. It tracks page views, traffic sources, user behaviour, and custom events in real time — with data appearing instantly rather than after a multi-hour delay — while remaining GDPR, CCPA, and PECR compliant without requiring cookie consent banners. All data belongs to the user and is hosted on EU servers.

The platform includes a simple dashboard for non-technical users alongside advanced capabilities such as custom event tracking, funnel visualisation, geomaps, UTM campaign tracking, bot filtering, and direct SQL and API access for deeper exploration. An unlimited number of websites can be tracked on a single account, and the lightweight tracking script does not affect page load performance.

Prisme Analytics is suited to businesses, content creators, and privacy-conscious organisations that want comprehensive analytics insights without compromising visitor privacy or relying on ad-tech-driven data collection.

Aptabase is an open-source, privacy-first analytics platform for mobile, desktop, and web applications. It captures custom events — button taps, feature usage, user flows — without collecting device identifiers, cookies, or fingerprints, making it fully compliant with GDPR, CCPA, and PECR out of the box. Every tracked session is anonymous and untraceable back to a user.

Lightweight SDKs are available for more than ten frameworks including Electron, Tauri, Swift, Kotlin, Flutter, and React Native, making integration straightforward across native and cross-platform stacks. A real-time dashboard surfaces event trends and usage patterns as they happen, and data can be self-hosted for full ownership of the underlying analytics.

Aptabase is a strong fit for developers and product teams who need actionable app analytics without the legal overhead of consent banners or the privacy trade-offs of ad-tech-driven platforms like Google Analytics and Mixpanel.

Vemetric is an analytics platform that combines web analytics and product analytics in a single tool, helping teams understand how users discover and interact with their digital products. Web analytics capabilities cover page views, traffic sources, and geographic data, while the product analytics layer tracks complete user journeys, session activity, conversion funnels, and event streams in chronological order.

Key features include interactive activity heatmaps, advanced user and event filtering, GDPR-compliant tracking without cookies (with EU-hosted servers), and a real-time event stream for monitoring live activity. Upcoming features include behavioural user segments, campaign tracking, and automation triggers based on custom events.

Vemetric is suited to SaaS companies, startups, and marketing teams that need both traffic measurement and deeper product adoption insights in one place, without the data privacy concerns of ad-tech-based analytics platforms.

Databuddy is an open-source, privacy-focused analytics solution designed for developers who care about both user privacy and insightful data. Built using modern web technologies like TypeScript, Next.js, React, Turborepo, Bun, and Tailwind CSS, it provides a robust, flexible analytics suite—with no compromise on data protection.
👉 GitHub Repository

🚀 Key Features

• Real-time analytics dashboard – Track user activity as it happens.
• User behavior tracking – Monitor pathways, conversions, and funnels.
• Goal & conversion tracking – Set custom goals and measure success.
• Custom event tracking, funnel analysis, cohort analysis (soon).
• A/B testing, advanced visualizations, exports, real-time updates, multi-tenant support (on the roadmap).
• Security & compliance – GDPR-ready, data encryption, secure auth, and API access.

🏗️ Architecture & Tech Stack

• Built with TypeScript, Next.js, React, Turborepo, Bun, Tailwind CSS.
• Open-source under AGPL-3.0 – use, modify, and self-host freely.
• Supports PostgreSQL, Redis, and optional ClickHouse via Docker.
• Local dev tools baked in: bun run dev, db:push, sdk:build, seeding sample data.
• Strong development workflow: staging, testing, linting, formatting, type checking, and DB migrations.

🌱 Community & Development

• ⭐ 457 GitHub stars and 62 forks (as of Sept 2, 2025).
• Built and maintained by Iza Nassar.
• Featured in Vercel’s Community Session: Why I Built Databuddy (Aug 21, 2025).
• Actively growing with contributions and feedback from the community.