datamodel-code-generator
openapi-generator
datamodel-code-generator | openapi-generator | |
---|---|---|
9 | 234 | |
2,315 | 19,899 | |
- | 1.9% | |
9.4 | 9.9 | |
4 days ago | 7 days ago | |
Python | Java | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
datamodel-code-generator
- Datamodel-code-generator: Pydantic model/dataclass from OpenAPI, JSON, YAML
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tRPC – Move Fast and Break Nothing. End-to-end typesafe APIs made easy
Like generating pydantic models or dataclasses for an OpenAPI schema? I haven't needed to go in that direction myself, but this[0] looks promising!
Apologies if I've misunderstood your comment
https://koxudaxi.github.io/datamodel-code-generator/
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OpenAPI v4 Proposal
I'm sorry, but you have completely misunderstood the purpose of Open API.
It is not a specification to define your business logic classes and objects -- either client or server side. Its goal is to define the interface of an API, and to provide a single source of truth that requests and responses can be validated against. It contains everything you need to know to make requests to an API; code generation is nice to have (and I use it myself, but mainly on the server side, for routing and validation), but not something required or expected from OpenAPI
For what it's worth, my personal preferred workflow to build an API is as follows:
1. Build the OpenAPI spec first. A smaller spec could easily be done by hand, but I prefer using a design tool like Stoplight [0]; it has the best Web-based OpenAPI (and JSON Schema) editor I have encountered, and integrates with git nearly flawlessly.
2. Use an automated tool to generate the API code implementation. Again, a static generation tool such as datamodel-code-generator [1] (which generates Pydantic models) would suffice, but for Python I prefer the dynamic request routing and validation provided by pyapi-server [2].
3. Finally, I use automated testing tools such as schemathesis [3] to test the implementation against the specification.
[0] https://stoplight.io/
[1] https://koxudaxi.github.io/datamodel-code-generator/
[2] https://pyapi-server.readthedocs.io
[3] https://schemathesis.readthedocs.io
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Create Pydantic datamodel from huge JSON file with local datamodel-code-generator
The site also provide a link to the github repo of the underlying program.
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PSA: I think this JSON to Pydantic converter is extremely useful for boilerplate model creation
Not sure who owns/hosts the site, but its based on this github repo.
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My top python library
That's what datamodel-code-generator propose.
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I use attrs instead of pydantic
had generally good experience creating typed wrappers for api's with json-schema-to-pydantic[0] converter
[0] https://github.com/koxudaxi/datamodel-code-generator
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What's the best libraries to build a REST API with Openapi compatibility
To save you some work, if you have already an OpenAPI specification at hand, you can use datamodel-code-generator to generate your Pydantic models from the spec.
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This is what I pushed today, I don't know why but I was very positive about the code until someone reviewed it and pointed out the obvious. Also 'internal_data' field is very essential for other parts of the code. It is so embarrassing I want to disappear from the face of the earth.
And there are code generators for it! https://github.com/koxudaxi/datamodel-code-generator/
openapi-generator
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The Stainless SDK Generator
Disclaimer: We're an early adopter of Stainless at Mux.
I've spent more of my time than I'd like to admit managing both OpenAPi spec files [1] and fighting with openapi-generator [2] than any sane person should have to. While it's great having the freedom to change the templates an thus generated SDKs you get with using that sort of approach, it's also super time consuming, and when you have a lot of SDKs (we have 6 generated SDKs), in my experience it needs someone devoted to managing the process, staying up with template changes etc.
Excited to see more SDK languages come to Stainless!
[1] https://www.mux.com/blog/an-adventure-in-openapi-v3-api-code...
[2] https://github.com/OpenAPITools/openapi-generator
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FastAPI Got Me an OpenAPI Spec Really... Fast
As a result, the following specification can be used to generate clients in a number of different languages via OpenAPI Generator.
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Show HN: Manage on-prem servers from my smartphone
Of course you can compile the server from source if you have Go and the OpenAPI generator JAR (https://github.com/OpenAPITools/openapi-generator?tab=readme...)
Follow these steps : https://github.com/c100k/rebootx-on-prem/blob/master/.github...
And then :
(cd ./impl/http-server-go && GOARCH=amd64 GOOS=openbsd go build -o /app/rebootx-on-prem-http-server-go-openbsd-amd64 -v)
By adapting the arch if needed. Not tested, but it should work.
- OpenAPI Generator v7.3.0 has new generators for Rust, Kotlin, Scala and Java
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Stop creating HTTP clients manually - Part I
TL;DR: Start generating your HTTP clients and all the DTOs of the requests and responses automatically from your API, using openapi-generator instead of writing your own.
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How to Automatically Consume RESTful APIs in Your Frontend
As an alternative, you can also use the official OpenAPI Generator, which is a more generic tool supporting a wide range of languages and frameworks.
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Building a world-class suite of SDKs is easy with Speakeasy
I trialed generating SDKs using the OpenAPI Generator package, which was largely unsatisfactory.
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Best way to implement base class for API calls?
If Swagger/OpenAPI is available, save yourself a lot of trouble and generate the client using OpenAPI Generator. If not, use a library like RestEase to make it significantly easier to create the client.
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Sharing EF data access project DLL vs NuGet vs ?
For a run of the mill REST API you should generate OpenAPI (Swagger) info for the API using a library like NSwag or Swashbuckle. You'd want to do this no matter what because it's documentation for the API, but the bonus is that you can use it with tools like OpenAPI Generator to create API client code and models in a variety of languages. You certainly can create an API client library manually, it would entail having a nuget package with a class library that contains the models and client code for calling the endpoints (which I'd create using a lib such as RestEase unless you just enjoy writing boilerplate code by hand). However 95% of the time it simply isn't worth creating your own lib when OpenAPI is available because once you've done it a time or two it takes less than 5 min to run the generator and create (or update) a lib.
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Created an API using Gin, want to create sdk for him
Then you can use oapi-codegen or openapi-generator to generate the Go (or other language) SDK for it.
What are some alternatives?
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
NSwag - The Swagger/OpenAPI toolchain for .NET, ASP.NET Core and TypeScript.
pydantic - Data validation using Python type hints
oapi-codegen - Generate Go client and server boilerplate from OpenAPI 3 specifications
pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses
SvelteKit - web development, streamlined
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
smithy - Smithy is a protocol-agnostic interface definition language and set of tools for generating clients, servers, and documentation for any programming language.
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
cattrs - Composable custom class converters for attrs.
autorest - OpenAPI (f.k.a Swagger) Specification code generator. Supports C#, PowerShell, Go, Java, Node.js, TypeScript, Python