kotlin-faker
Java Faker
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| kotlin-faker | Java Faker | |
|---|---|---|
| 1 | 13 | |
| 426 | 4,559 | |
| - | 1.5% | |
| 9.0 | 0.0 | |
| 8 days ago | 5 days ago | |
| Kotlin | Java | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kotlin-faker
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Datafaker: An Alternative to Using Production Data
Lately, I've also tried https://github.com/serpro69/kotlin-faker which has a very convenient unique value generation for all fake data providers.
Java Faker
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Leveling up your custom fake data with Faker.js
Faker was originally written in Perl and is also available as a library for Ruby, Java, and Python.
- Built a library to help generate test pojos with relevant but random data. I’d love some feedback.
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Data Seeding With MongoDB
you can use faker java
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Favorite hidden gem library?
JavaFaker for generating random data https://github.com/DiUS/java-faker
- Estudo sobre HTTP2 e protocolos binários - parte 2
- Estudo sobre HTTP2 e protocolos binários - parte 1
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Datafaker: An Alternative to Using Production Data
I've been using https://github.com/DiUS/java-faker which seems to be much more popular. How is this one different?
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Cucumber java Cannot resolve symbol 'github' when adding Faker to project
I'm using 1.0.2 from this repository: https://github.com/DiUS/java-faker
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The right to delete: how faker.js exposed the fragile nature of open source culture, again
I'm Java developer. While we have had our fair share of shenanigans, if the people behind the Java equivalent of faker (https://github.com/DiUS/java-faker) went off the rails it wouldn't be anywhere near as much of an issue.
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Datafaker, an alternative to using Production Data
This has another bottleneck, each time you request something, it ends up with a IO call to open a file, as all fake data is stored in a file: https://github.com/datafaker-net/datafaker/blob/master/src/main/resources/en/dragon_ball.yml I recently filed a bug to javafaker that in some cases file descriptor was never closed, resulting in even worse performance and memory leaks, killing our service after millions of method calls.
What are some alternatives?
mockito-kotlin - Using Mockito with Kotlin
datafaker - Generating fake data for the JVM (Java, Kotlin, Groovy) has never been easier!
RandomGenKt - Kotlin port of RandomGen
instancio - A library that creates fully populated objects for your unit tests.
arbitrater - Arbitrater is a Kotlin library for creating arbitrary instances of classes by reflection for use in testing. In contrast to POJO generators, it supports Kotlin's optional parameters and nullable types.
Deep Dive - Fluent assertions library for Java
hikaku - A library that tests if the implementation of a REST-API meets its specification.
faker - A library for generating fake data such as names, addresses, and phone numbers. [Moved to: https://github.com/faker-ruby/faker]
mockk - mocking library for Kotlin
avoid-random-string-utils - Example of the RandomStringUtils class vs JavaFaker to generate data
atrium - A multiplatform expectation library for Kotlin
restassured-complete-basic-example - A complete API Test Architecture example using Java and RestAssured providing a real-world example and continuous delivery ready.