Libraries tagged by large data

Basic Laravel data-grid system to ease sorting and filtering large tables. Does not contain any frontend bullshit so the appearance is your job

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Visualization and analysis you git log. Creates HTML report about commits statistics, employees and company. Also it parse git log and give a achievements based on git stat. In addition the typical git stats, this package can show statistics by departments, tasks or determine the location of users. It quickly parses large git log files.

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Grok PHP Client is a robust and community-driven PHP client library for seamless integration with Grok AI API, offering efficient access to advanced AI and data processing capabilities.

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Import millions of record in few seconds by using mysqlimport utility.

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A flexible and efficient library for exporting data to Excel (XLS, XLSX) with support for mappings, formatters, and handling large datasets. Working with less dependencies, avoid future breaks & conclusions.

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Based on the wonderful work by Tom Westcott (https://packagist.org/packages/cyberdummy/gzstream) which provided most of the functionality I required. Allows for gzip compressed string streams to be used for holding data. This project was created because I wanted a way to store large database result sets more easily in memory (especially ones that were just going to be output as JSON in an API response), since using a regular PHP array resulted in large memory usage.

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Run reports on large data sets.

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A generic PHP class to split large data into smaller chunks for use in web apps

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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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Export large datasets to a JSON file without memory exhaustion

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Use Ajax in Dropdowns for large datasets

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Provides a GridField button to queue the export to a CSV, good for handling large datasets

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Get large datasets from GatherContent API without memory overload.

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Make it easier to process large amount data with JsonLogic

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slimdump is a little tool to help you creating dumps of large MySQL-databases. Patched version

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