Redis_analytics

screenshot of Redis_analytics

Web analytics for your rails apps using Redis

Overview

Redis Analytics is a robust Ruby gem designed specifically for Rails applications to effectively track web analytics. Utilizing Redis for data storage, it provides insightful information about user interactions, including detailed visitor statistics, traffic sources, and browser information. For developers looking to enhance their understanding of user behavior in their applications, this tool serves as a vital resource, giving a clear view of analytics when properly implemented.

The gem stands out not only for its functionality but also for its ease of integration. With a straightforward setup process, including a mounted dashboard, it allows users to visualize data through compelling graphs and charts powered by Morris.js. This makes monitoring engagement and user patterns simpler and more intuitive.

Features

  • Detailed Visitor Analytics: Gain insights into unique visitors, browsers, operating systems, and visit recency, enabling targeted improvements in user engagement.
  • Traffic Source Tracking: Understand where your users are coming from, which aids in optimizing marketing strategies.
  • Custom Metrics Tracking: Define custom metrics effortlessly by creating instance methods in the RedisAnalytics::Metrics module to tailor your analysis needs.
  • Geolocation Capabilities: Utilize IP-based geolocation tracking, although note that accuracy can vary with the free GeoLite database.
  • Morris.js Dashboard: Experience an excellent visual interface for data representation, making complex statistics easier to interpret.
  • Multi-App Support: Track multiple Rails applications under a single website by configuring a shared Redis connection and namespace.
  • Extensible Framework: With an open invitation for contributors, developers can extend and customize functionality over time, ensuring the gem evolves with user needs.
  • MIT License: Use the gem freely under the MIT license, with the stipulation of maintaining proper attribution on your dashboard pages.