Faker will generate you a fake data based on your Struct.
https://godoc.org/github.com/bxcodec/fakerTags | generator faker struct dummy-data dummy-data-generator fake-data mock-data testing-tools |
Implementation | Go |
License | MIT |
Platform | Windows MacOS Linux |
Faker is a pure Elixir library for generating fake data. Do a mix deps.get to fetch the dependency. That's it.
test elixir faker testing seeding seed testing-tools qa phoenix data database fake-content data-generator generator dummy developer-toolsFaker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Faker is heavily inspired by PHP Faker, Perl Faker, and by Ruby Faker.
fake testing dataset fake-data test-data test-data-generatorThis is a Swift port of Ruby's Faker library that generates fake data. Are you still bothered with meaningless randomly character strings? Just relax and leave this job to Fakery. It's useful in all the cases when you need to use some dummy data for testing, population of database during development, etc.
fakery lorem swift-framework unit-testing fakeNOTE: if getter function has non-empty arguments list then generator should be called as function casual.profile('public'), otherwise it should be accessed as property casual.profile. Default locale is en_US.
faker generator data-generator fake data casual fixtures testing seed random mock mockingfaker.js contains a super useful generator method Faker.fake for combining faker API methods using a mustache string format.
faker fake faker-generator mocking mocks fake-content fake-dataHello. I'm your host Brian Chavez (twitter). Bogus is a simple and sane fake data generator for .NET languages like C#, F# and VB.NET. Bogus is fundamentally a C# port of faker.js and inspired by FluentValidation's syntax sugar.Minimum Requirements: .NET Standard 1.3 or .NET Framework 4.0.
fake data generator faker c-sharp bogus poco data-access-layer database seed test-data data-generatorThis library is a port of the Ruby gem Faker. It generates realistic fake data — like names, emails, dates, countries — for a variety of scenarios, including automated testing and database population. The library was originally created for Android projects, but it can be used in any Java or Kotlin project.
android android-library fakeit library open-source data-faker tests test-driven-development utility utility-library kotlinRelying on fzaninotto/Faker, Alice allows you to create a ton of fixtures/fake data for use while developing or testing your project. It gives you a few essential tools to make it very easy to generate complex data with constraints in a readable and easy to edit way, so that everyone on your team can tweak the fixtures if needed. Warning: this doc is for alice 3.0. If you want to check the documentation for 2.x, head here.
faker alice symfony symfony-bundle fixtures fixture manage-fixtures expression-languageFaker is a PHP library that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Faker is heavily inspired by Perl's Data::Faker, and by ruby's Faker.
This library is a port of Ruby's stympy/faker gem (as well as Perl's Data::Faker library) that generates fake data. It's useful when you're developing a new project and need some pretty data for showcase.
faker-gem java-fakerMock your future API or extend the existing API with realistic data from faker.js. No coding required. All you need is to write GraphQL IDL. Don't worry, we will provide you with examples in our IDL editor. In the GIF bellow we add fields to types inside real GitHub API and you can make queries from GraphiQL, Apollo, Relay, etc. and receive real data mixed with mock data.
graphql idl faked-data mock faker apiContent generator allows you quickly create dummy data such as avatars, names, geo location data etc.
dummy-data avatars sketch-plugin design-assetsMimesis is a fast and easy to use library for Python programming language, which helps generate synthetic data for a variety of purposes in a variety of languages. This data can be particularly useful during software development and testing. For example, it could be used to populate a testing database, create beautiful JSON and XML files, anonymize data taken from a production service, etc. You can find the complete documentation on the Read the Docs.
fake dummy data generate testing mimesis schema mock fixtures factory language locale synthetic mocking anonymize json xml bootstrapThis gem is a port of Perl's Data::Faker library that generates fake data. It comes in very handy for taking screenshots (taking screenshots for my project, Catch the Best was the original impetus for the creation of this gem), having real-looking test data, and having your database populated with more than one or two records while you're doing development.
fakeYou can find current releases tagged under the releases section. The CHANGELOG.md file contains the changelog of the project.
randomdata faker-generator faker faker-libraryNode server for dynamic, fake JSON. When developing client-side applications, often either static JSON files, or an actual server, backend, datastore, or API, is used. Sometimes static files are too static, and sometimes an actual server is not available, not accessible, or too tedious to set up.
server json dummy stub mock api rest data dynamic fake generator proxy responseThis bundle integrates Faker, a PHP library that generates fake data for you. It provides a command to load random data for your model objects as simple as possible. See CONTRIBUTING file.
fony is a simple command line tool that generates dummy JSON data from a provided template. The application utilizes Chance.js under the hood so any data type supported by Chance.js is supported by fony.
cli testing mockFabricator makes it easy to generate sample data during development of your .NET application whenever real data isn't available, takes a long time to access or has regular breaking changes.
data dummy fake fluent fluent-interface generatorGenerate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb, redis, couchdb. The installation through pypi retrieves 'fake-factory' as a main dependency.
fake-content faker data database
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