Libraries tagged by event analytics

Hive is a lightweight yet powerful Laravel package designed to track and log user activities across your application. Whether it's page views, logins, form submissions, or custom events, Hive provides real-time insights into user behavior, helping you enhance analytics, improve debugging, and ensure security auditing.With an intuitive dashboard, exportable logs, and actionable analytics, Hive empowers developers to make informed decisions while adhering to global privacy standards.

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Logs frontend actions and display them in a backend module. Track page views, News, Downloads and custom objects. Optionally tracks frontend user logins and login durations. Alternative extension for Google-Analytics, Matomo, Piwik - this extension does not use any cookies! By default it does not track any personal data like IP address or even the user agent (though this can be activated optionally).

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Dutate is analytic tool where you can merge events infinite ways using custom math functions.

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The Events Calendar function and class declaration stubs for static analysis.

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Measure time between events, variability and compare results.

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Web-based visual event tree modeling editor

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PHP library to integrate scattered events in RDB.

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The Laravel Logger project is a robust logging solution tailored for Laravel applications, designed to provide comprehensive monitoring, tracking, and analysis of system activities and events. Developed with the Laravel framework, this logging system offers seamless integration, ensuring smooth operation within Laravel-based projects.

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Search Package OverviewThe Search package is a powerful tool designed to facilitate efficient and effective search operations within various datasets or databases. It provides a set of functions and classes that enable users to perform complex search queries, filter results, and retrieve relevant data with ease. The package is highly customizable, allowing users to define their own search criteria, implement sorting mechanisms, and handle large volumes of data seamlessly.Key Features: Customizable Search Queries: Users can create tailored search queries using various operators and conditions, making it possible to perform both simple and advanced searches. Sorting and Filtering: The package includes built-in methods to sort and filter search results, enabling users to organize data based on specific parameters such as date, relevance, or custom fields. Scalability: Designed to handle large datasets, the Search package is optimized for performance, ensuring quick response times even with millions of records. Integration: The package is compatible with a variety of databases and data sources, making it a versatile solution for different types of projects. User-Friendly Interface: It offers a straightforward API that is easy to use, even for those who are not experts in programming. This allows a broader audience to leverage the power of advanced search capabilities.Use Cases: Data Analysis: Quickly find and retrieve specific information from large datasets for analysis. Content Management Systems: Implement efficient search functionality in content-heavy websites or applications. E-commerce: Enhance product search features in online stores, improving the user experience by providing relevant results swiftly. Knowledge Bases: Help users find relevant articles or documentation based on keyword searches.Overall, the Search package is an essential tool for anyone needing to implement or enhance search functionality in their applications, providing both power and flexibility in managing and retrieving data.

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