Java Faker VS datafaker

Faker was originally written in Perl and is also available as a library for Ruby, Java, and Python.

you can use faker java

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?

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.

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.