Swagger descriptor for REST API with nice Swagger UI console. Nowadays, it is a standard de facto. Microservices should be accessible via HTTP and operate with data in a human-readable JSON format. As a bonus, it is super easy to generate data types and API client code for the client side (it works well for a TypeScript-based front-end, for example). - Source: dev.to / about 1 month ago

Often used for cases where a project exposes a REST or other type of API service. Open API is a popular method of documenting such API services. It can also be used along side tools such as Swagger Codegen to produce boilerplate code for API interaction / testing purposes. There may also be support files for popular API testing tools such as Postman or Insomnia. This makes it easier at a glance to see what data is... - Source: dev.to / 5 months ago

Regarding the IO, there could also be low-code tools. Swagger could be taken as inspiration. Swagger codegen is a great tool that allows you to declaratively produce code to interact with APIs. - Source: dev.to / 11 months ago

Personally I would try to put as much business logic as possible into your API that runs on server. Use a format like swaggger (https://swagger.io/tools/swagger-codegen/) to auto generate the client SDKs for every platform you support. Source: 12 months ago

It sounds like you want an OpenAPI spec. This can be written by hand or partially generated using a crate like utoipia. Once you have an OpenAPI spec you can generate clients in a myriad of languages using the (swagger codgen)[https://swagger.io/tools/swagger-codegen/] tools. Source: about 1 year ago

That sort of thing makes me wonder why pyspread isn't more popula: https://pyspread.gitlab.io/ and if mito will become popular: https://www.trymito.io/ and whether maybe Jupyter Notebooks aren't the solution to this sort of thing. - Source: Hacker News / about 1 month ago

For a non-browser python based spreadsheet application: https://pyspread.gitlab.io/. - Source: Hacker News / about 1 month ago

Or, you could use pyspread and list comprehensions for a similar effect: https://pyspread.gitlab.io/ https://pyspread.gitlab.io/manual/advanced_topics.html. - Source: Hacker News / 8 months ago

It'll certainly be a lot easier and more accessible than pyspread: https://pyspread.gitlab.io (which I wish was more widely known/used). - Source: Hacker News / 10 months ago

There's https://pyspread.gitlab.io/, which uses python. On the more programmable side you've got Jupyter with https://github.com/ipyflow/ipyflow. - Source: Hacker News / about 1 year ago