cherrybomb VS drf-spectacular

Standard library does not provide all solutions for Error Handling.. In fact, different errors may be returned by the same function, making it increasingly difficult to handle them precisely. Personal anecdote, in our company we developed Cherrybomb an API security tool written in Rust, and we need to re-write a good part of it to have a better errors handling.

Cherrybomb is a CLI tool that helps you avoid undefined user behavior by auditing your API specifications, validating them, and running API security tests.

If you're looking for a new way to understand and manage your API, consider using OpenAPI, and if you want to secure it consider using CherryBomb to automate your security test. Managing and Testing it's the key,now your can keep your API safe :)

You can find the code on GitHub: https://github.com/blst-security/cherrybomb

API validation is an important part of developing and releasing a new API. It helps to ensure that the API behaves as expected and that it meets all the requirements of its users. Validating an API can be made easier with automated testing tools and CI/CD integrated validation 💡 tools, but it can also be done by hand.

You can learn more about Cherrybomb and how it can help you over at its repository.

I believe that Cherrybomb will make it simpler for developers to construct application programming interfaces (APIs) that are standardized, well-documented, and straightforward to implement. We have high hopes that Cherrybomb will emerge as the industry standard for application programming interface (API) development.

Hi, while that is the case, same can be done with drf using drf-spectacular

I would suggest drf-spectacular instead because https://github.com/axnsan12/drf-yasg#openapi-30-note

Here is your answer: drf_spectacular

If you roll your own thing, you will probably just end up re-implementing a crappy version of something that already exists. Plus, you'll miss out on really nice utilities like this one.

Generate OpenAPI3 schema for error responses using drf-spectacular: No API is complete without proper documentation. This is work in progress (PR1 and PR2). Most of it is done, but I still need to add tests and documentation. Hopefully, that will be done over the next few week(end)s. But, if you want to get a glimpse on the expected result, here’s a screenshot of a test endpoint using swagger UI.

drf-yasg - generates schema for django application - GitHub - axnsan12/drf-yasg