Java Faker VS datafaker

JavaFaker for generating random data https://github.com/DiUS/java-faker

I've been using https://github.com/DiUS/java-faker which seems to be much more popular. How is this one different?

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.

[]JavaFaker](https://github.com/DiUS/java-faker) is an open-source library based on Faker to generate fake data.

For that I will introduce you JavaFaker, a is a library that can generate fake random data every time it’s called. For example: if you generate a name all the names generated will be different.

Looks like that link doesn't actually go where it says, try this https://github.com/datafaker-net/datafaker

Give it a try https://github.com/datafaker-net/datafaker

Looks a lot like DataFaker Any pros and cons or differences compared to this?

Great library, and thanks for sharing. I maintain something add similar but different (https://www.datafaker.net), and it would be interesting to be able to use these libraries together for example.

For example, I run a project (https://www.datafaker.net), which is currently a Java application, but we'd like to extend it with a Kotlin module.

I'm running a project myself, https://www.datafaker.net, a project to generate real looking test data.

It's a shame though that it's so hard to contribute to certain libraries. I forked Javafaker to https://www.datafaker.net with the idea of accepting most if not all PRs within a day. It bothers me when people put time and effort into fixing things and they don't get accepted.