Libraries tagged by Data fixtures

Faker is a PHP library that generates fake data for you.

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The dummy data factory

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Faker is a PHP library that generates fake data for you.

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A collection of custom providers for the Faker library

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Schema and data migration for Doctrine

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Faker is a PHP library that generates fake data for you. It is a Fork of fzaninotto/faker with en_KE provider added pending release of Faker 2.0

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Create fake data for magento development

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This symfony bundle is made to simplify testing of your rest API. It can be useful in running of functional data fixtures based tests and acceptance (Behat) tests. It simplifies automatic tests development by provided test cases classes and commands

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Provides data fixtures and example ESB documents for functional tests.

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A library of static Eloquent models for common fixture data.

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Adds PostgreSQL enhancements to Doctrine. Provides support for JSON, JSONB and some array data types. Provides functions, operators and common expressions used when working with JSON data, arrays and features related to text search.

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Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with different data types like numbers, big numbers, complex numbers, fractions, units, and matrices.

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[clickstorm] SEO - Extension for TYPO3. Enables important onpage features for search engine optimization (SEO). Expands the page settings and any desired records for example with a preview for Google search results (SERP) Structured Data (JSON-LD) and a Focus Keyword. Restrictive hreflang and canonical tags. Modules for metadata of records and alternative texts of images. Further features are shown in the extension manual.

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Extends the features of PHP DateTime and DateTimeZone

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Laravel Taxonomy is a flexible and powerful package for managing taxonomies, categories, tags, and hierarchical structures in Laravel applications. Features nested-set support for optimal query performance on hierarchical data structures.

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