TiloBox
Back to directory
Plausible Analytics project preview

Plausible Analytics

Open-source, lightweight, and privacy-friendly web analytics platform, Google Analytics alternative.

LicenseAGPL-3.0
GitHub stars28.7k
Last commit1 weeks ago
Tags6 topics
ClickhouseAnalyticsElixirPrivacySelf HostedGoogle Analytics Alternative
Overview

Why consider Plausible Analytics?

Plausible Analytics is an open-source, privacy-focused alternative to Google Analytics that operates without cookies, providing simple and lightweight website tracking.

Guided learning

Learn Plausible Analytics by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

3 min read 3 sections
In this guide3 sections

Plausible Analytics: A Privacy-First Alternative for Web Analytics

When building a modern web application, understanding how users interact with your project is essential. However, many established analytics solutions rely heavily on invasive data collection practices. Plausible Analytics addresses this issue directly. As detailed in its official repository, Plausible Analytics is an open source, privacy-first web analytics tool. It is designed specifically for teams that want accurate metrics without compromising user privacy.

A Cookieless Approach to Data Collection

One of the defining features of the platform is its approach to visitor tracking. It is a lightweight alternative to Google Analytics that operates without cookies. This fundamental design choice means that you can gather insights about your website traffic without subjecting your visitors to pervasive tracking.

To maintain compliance with privacy regulations, the system is engineered carefully. Plausible does not collect personal data, track IP addresses, or use persistent identifiers. This makes it much easier to deploy a website that respects user privacy right out of the box, often removing the need to display disruptive cookie consent banners.

Performance and Feature Set

In addition to privacy, performance is a core focus. Adding third-party scripts can often degrade a website's load time and overall user experience. To mitigate this, the analytics tracker is highly optimized. The script is designed to be lightweight to minimize the impact on page load times. This ensures that your site remains performant while still collecting the data you need.

Despite its minimal footprint, the tool provides robust capabilities for understanding user behavior. You are not limited to basic page views. Plausible Analytics can track conversions, revenue attribution, and goal completions without requiring extensive tracking code. This flexibility makes it suitable for anything from a simple personal blog to a complex e-commerce platform.

Tracking Hashed Page Paths

For projects utilizing single-page applications (SPAs) with hash-based routing, Plausible offers built-in support to ensure every view is tracked correctly. If your application uses page paths with a # in the URL (common in many frontend frameworks), you need to configure the tracker to treat these as distinct page views.

According to the official documentation, Hash-based routing tracking can be enabled by configuring plausible.init. You simply need to execute the following snippet:

javascript
1plausible.init({
2 hashBasedRouting: true
3})

By including this configuration, the script will automatically track changes to the hash portion of the URL, ensuring your dashboard accurately reflects user navigation within your application.

For more details on deploying and configuring the tool, you can explore the Plausible Analytics Repository or read the official documentation on hashed page paths.

Related tools

More options with a similar category or technology profile.

Plausible Analytics FAQs

Plausible Analytics is listed as a Databases tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Plausible Analytics is listed under the AGPL-3.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Plausible Analytics is listed as an alternative to Google Analytics. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.