Java Faker VS datafaker

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

I'm using 1.0.2 from this repository: https://github.com/DiUS/java-faker

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.

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.

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.

That's such an unfortunate coincidence. I just created www.datafaker.net in the last few days, which is not a competing solution, but a Java (not Javascript) version just like this, and I was using Faker.js as a partial inspiration, and just hours after adding a reference to Faker.js on my github (https://github.com/datafaker-net/datafaker), this happens....

Ah, I was under the impression I mentioned it in the README.md here: https://github.com/datafaker-net/datafaker, but I somehow missed that one. Thanks for mentioning it, I'll certainly have a look at their dataset!

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.