gofakeit VS ghorg

I have to admit that I fell into a rabbit hole, and I noticed that popular tools like fakerjs or gofakeit[0] did not meet my needs.

I needed to generate realistic-looking identities; the person's photo must match the gender, same for the age, the skin color of the person must correspond with the origin of the surname, the first name should be common in the targeted country, and the residential address must be real, among other things.

You would not use this for test data btw, a common use case for this would be for marketing or spamming operations where you need realistic data. My consciense does not accept the later however ;-)

[0] https://github.com/brianvoe/gofakeit

Thank you! No, it’s just random data (here’s a link: https://github.com/brianvoe/gofakeit/blob/master/data/address.go)

So, is JR yet another faking library written in Go? Yes and no. JR indeed implements most of the APIs in fakerjs and Go fake it, but it's also able to stream data directly to stdout, Kafka, Redis and more (Elastic and MongoDB coming). JR can talk directly to Confluent Schema Registry, manage json-schema and Avro schemas, easily maintain coherence and referential integrity. If you need more than what is OOTB in JR, you can also easily pipe your data streams to other cli tools like kcat thanks to its flexibility.

Tangentially related, but there is a package out there called go-fakeit github.com/brianvoe/gofakeit.git for generating random data, which doesn't sound like it entirely maps with what you're doing, but there may be some overlap.

Its not much but I have had success with a random data generator package for golang called https://github.com/brianvoe/gofakeit. Its not live changing but hopefully it helps out enough developers.

Using mock data is a great way to speed up the prototyping process. We will use the GoFakeIt package to create a little dummy data generator to insert into our PDF.

The new v6 release now supports the ability to have localized rand that allows for concurrent generating of random data. Crypto/rand has now been integrated as well as if you have a custom rand that fulfills the math/rand source64 interface you can use it with gofakeit. Let me know your thoughts.

https://github.com/brianvoe/gofakeit

I'm using https://github.com/gabrie30/ghorg to do this. Why should I use your tool?

Where I currently work, there are 10 service per developer, actively running (if we're counting in the least charitable manner, maybe 4 per dev with most charitable counting). Our ratio is this huge due to large changes in company size over time. Consolidation is very helpful at this stage. If there's one thing I recommend to everyone who encounters this situation, you absolutely must keep a copy of all the source for all the repos on your computer, all at the same time, to make cross-repo grepping easy. For this purpose I recommend ghorg[0], but however you do it, it'll make everything easier.

[0] - https://github.com/gabrie30/ghorg

There is https://github.com/gabrie30/ghorg which I use to create a single tarball and than upload to S3 (separate script though).