What are the best open-source alternatives to Google Analytics?

Matomo and Umami are top open-source choices. Matomo offers comprehensive features similar to Google Analytics with self-hosting, while Umami is simpler, privacy-focused, and easier to set up for basic tracking.

How to self-host an analytics tool like Matomo?

Matomo can be self-hosted using Docker or manual installation on a server with PHP and MySQL. Check its GitHub repository for setup guides, and ensure you handle data privacy compliance like GDPR.

Plausible Analytics vs Matomo: which is better for privacy?

Both prioritize privacy, but Plausible is lighter, cookie-free, and GDPR-compliant by design, while Matomo offers more features but requires configuration for full privacy. Choose based on your need for simplicity vs customization.

Are there any free heatmap analytics tools?

Most heatmap tools are commercial, but open-source options like UXWizz include heatmaps as part of a self-hosted suite. However, setup requires technical skills and server resources.

What analytics tools support real-time mobile app tracking?

Countly and Firebase offer real-time mobile analytics. Countly is open-source and self-hostable, while Firebase is free but proprietary and tied to Google's ecosystem.

How to choose a privacy-focused analytics tool for a small website?

Consider Fathom Lite or Plausible Analytics; both are lightweight, GDPR-compliant, and offer self-hosting. Fathom Lite is simpler, while Plausible has more features but may require more setup.

Open-Awesome

Awesome Analytics

MIT

A curated list of awesome analytics platforms, frameworks, software, and resources across various domains.

Visit Website GitHub

4.3k stars526 forks0 contributors

What is Awesome Analytics?

Awesome Analytics is a curated GitHub repository listing hundreds of analytics tools, platforms, and resources across multiple categories. It helps users discover solutions for tracking user behavior, visualizing data, and performing business intelligence without vendor lock-in by highlighting both commercial and open-source options. The list is maintained by the community and includes detailed metadata like licensing, technology stacks, and hosting models.

Target Audience

Developers, data analysts, product managers, and marketers who need to evaluate and select analytics tools for web, mobile, or business intelligence projects. It's especially useful for those seeking open-source or privacy-focused alternatives to mainstream SaaS platforms.

Value Proposition

It saves hours of research by aggregating a vast array of analytics tools in one place, with clear categorization and practical details. Unlike generic lists, it emphasizes open-source and self-hosted options, helping teams maintain control over their data and reduce costs.

Overview

A curated list of analytics frameworks, software and other tools.

Use Cases

Best For

Finding open-source alternatives to Google Analytics or Mixpanel
Discovering privacy-focused analytics tools for GDPR-compliant projects
Comparing self-hosted analytics platforms for data sovereignty
Researching real-time analytics dashboards and visualization tools
Evaluating mobile analytics SDKs for iOS and Android apps
Exploring business intelligence (BI) platforms for data teams

Not Ideal For

Teams needing immediate, hands-on demos or free trials to evaluate tools
Projects requiring in-depth technical comparisons or performance benchmarks
Organizations with strict compliance needs that require vendor vetting reports
Beginners looking for step-by-step tutorials on setting up analytics

Pros & Cons

Pros

Comprehensive Categorization

The README organizes tools into 14+ specific sections like Privacy-focused analytics and Heatmap analytics, making it easy to navigate based on use case.

Open-Source Emphasis

Many entries, such as PostHog and Matomo, include source code links and licenses like MIT or GPL-3.0, highlighting alternatives to commercial tools.

Detailed Tool Metadata

Each listing provides key details like licensing (e.g., AGPL-3.0 for Countly), technology stack (e.g., Python for PostHog), and hosting model (SaaS or Self-Hosted).

Privacy-Focused Curated Section

Dedicated to tools like Plausible Analytics and Fathom that prioritize GDPR compliance and user privacy, with notes on cookie-free tracking.

Cons

Lacks In-Depth Analysis

The list only provides basic descriptions and metadata without comparisons, benchmarks, or user reviews, leaving users to research each tool independently.

Community-Driven Maintenance Risks

As a community-maintained list, entries might become outdated or incomplete; the README notes contributions are 'always welcome,' implying potential gaps.

Overwhelming Volume Without Guidance

With hundreds of tools across niches, beginners may find it difficult to choose without recommendations or filtering based on project scale.

Frequently Asked Questions

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