Overview
Plausible Analytics for Vue.js and NuxtJS offers developers a seamless solution for integrating web analytics into their applications. This plugin and module not only simplifies the implementation of analytics but also empowers users to track pageviews and outbound link clicks effectively. Built on the foundation of the official plausible-tracker package, it allows developers to maintain a streamlined user experience while gathering important data about site interactions.
With its ease of installation and clear configuration options, Plausible Analytics caters to the needs of modern developers by providing essential analytics features without compromising performance. Its thoughtful integration into both Vue.js and NuxtJS ecosystems makes it an attractive choice for those seeking insightful metrics from their single-page applications.
Features
Automatic Page View Tracking: Easily enable automatic tracking for pageviews in SPAs by calling
enableAutoPageviews(), providing you with valuable insights into user navigation.Outbound Link Tracking: Activate automatic outbound link tracking with the
enableAutoOutboundTracking()method, ensuring you can monitor how users interact with external links.Easy Configuration: Customize your tracking settings through the
nuxt.config.jsfile, allowing for flexibility and adaptability to fit your project requirements.Dynamic Environment Variables: Utilize dynamic environment variables in production with
publicRuntimeConfig, enhancing security and configurability.Comprehensive Integration: Access the Plausible instance easily in your Vue.js or NuxtJS app, making it convenient to track events throughout your application.
Event Tracking Methods: Leverage a variety of methods to track specific events, including
trackPageview()andtrackEvent(), giving you control over analytics data collection.Opt-Out Mechanism: Respect user privacy with a built-in opt-out option that can be activated by setting
localStorage.plausible_ignoreto true, ensuring compliance with user preferences.MIT License: The project is open-source and available under the MIT license, promoting community collaboration and ongoing development.