openapi-generator-cli
warehouse
openapi-generator-cli | warehouse | |
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8 | 275 | |
1,295 | 3,470 | |
2.9% | 0.5% | |
8.1 | 9.7 | |
5 days ago | 5 days ago | |
TypeScript | Python | |
Apache License 2.0 | 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.
openapi-generator-cli
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Generate DTO models from OpenAPI bundle yml
Hi, I want to create my dto's from a bundle file. This works nearly good, I just don't need all the functions which I am getting. I only need the model structs. I am currently using https://github.com/OpenAPITools/openapi-generator-cli via docker and I am passing the bundle.yml inside. I have the following parameter to only get model files:
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OpenAPI - API documentation standard - Boon for the software engineers
You can generate boilerplate code stubs with OpenAPI spec. Yes! you heard it right! you only need to write the business logic that’s all, everything will be generated for you. There are so many generators available for every programming language. Find it here https://openapi-generator.tech. GitHub repo for the same https://github.com/OpenAPITools/openapi-generator & https://github.com/OpenAPITools/openapi-generator-cli
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GRPC Gateway API Client?
- https://github.com/OpenAPITools/openapi-generator-cli
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Better Fastly API clients with OpenAPI Generator
OAG is a Java project that uses Mustache templates to configure each supported programming language. It provides a CLI openapi-generator-cli that will download the appropriate JAR file and invoke the java executable to run OAG.
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Publishing Rust types to a TypeScript frontend
So I'm assuming you're talking about generating Rust types from TypeScript? If you can get your typescript definitions into OpenAPI (i.e, via typeconv) you can use the openapi generator cli to generate rust types. However this is geared towards web backends rather than pure IPC or cross-lang interop.
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I just developed an entire feature without reviewing it in the browser - thanks to Typescript
https://github.com/OpenAPITools/openapi-generator-cli I didn't build it so you may need to do some research on it
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[AskJS] REST client generation tools
openapi-generator-cli is what I use for openapi/swagger, along with the nestjs swagger plugin. it's not perfect but it gets the job done.
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Trying out NestJS part 4: Generate typescript clients from OpenAPI documents
The OpenAPI generator configuration file. See Configuration for more info.
warehouse
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Create an AI prototyping environment using Jupyter Lab IDE with Typescript, LangChain.js and Ollama for rapid AI prototyping
pip install PackageName: installs a package (you can browse the available packages in the Python Package Index)
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Smooth Packaging: Flowing from Source to PyPi with GitLab Pipelines
python3 -m pip install \ --trusted-host test.pypi.org --trusted-host test-files.pythonhosted.org \ --index-url https://test.pypi.org/simple/ \ --extra-index-url https://pypi.org/simple/ \ piper_whistle==$(python3 -m src.piper_whistle.version)
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Pickling Python in the Cloud via WebAssembly
In my experience so far, I can use a vast amount of the Python Standard Library to build Wasm-powered serverless applications. The caveat I currently understand is that Python’s implementation of TCP and UDP sockets, as well as Python libraries that use threads, processes, and signal handling behind the scenes, will not compile to Wasm. It is worth noting that a similar caveat exists with libraries that I find on The Python Package Index (PyPI) site. While these caveats might limit what can be compiled to Wasm, there are still a ton of extremely powerful libraries to leverage.
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Introducing Flama for Robust Machine Learning APIs
We believe that poetry is currently the best tool for this purpose, besides of being the most popular one at the moment. This is why we will use poetry to manage the dependencies of our project throughout this series of posts. Poetry allows you to declare the libraries your project depends on, and it will manage (install/update) them for you. Poetry also allows you to package your project into a distributable format and publish it to a repository, such as PyPI. We strongly recommend you to learn more about this tool by reading the official documentation.
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PyPI Packaging
From there, I needed to learn a bit about PyPi or Python Package Index, which is the home for all the wonderful packages that you know if you have ever run the handy pip install command. PyPi has a pretty quick and easy onboarding, which requires a secured account be created and, for the purposes of submitting packages from CLI, an API token be generated. This can be done in your PyPi profile. Once logg just navigate to https://pypi.org/manage/account/ and scroll down to the API tokens section. Click “Add Token” and follow the few steps to generate an API token which is your access point to uploading packages. With all this in place, I was able to use twine to handle the package upload. First I needed to install twine, again as simple as pip install twine. In order for twine to access my API token during the package upload process, it needed to read it from .pypirc file that contains the token info. For some that file may exist already, for me I was required to create it. Working in windows I simply used a text editor to create it in my home user directory ($HOME/.pypirc). The file contents had a TOML like format looked like this:
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Releasing my Python Project
I have published the package to Python Package Index, commonly called PyPi, and in this post, I'll be sharing the steps I had to follow in the process.
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Publishing my open source project to PyPI!
Register at PyPI.org
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Show HN: I mirrored all the code from PyPI to GitHub
According to the stats on the original link, there are over 25,000 identified secret ids/keys/tokens in the data. And it looks like that's just identifiable secrets, e.g. "Google API Keys" that I'm guessing are identifiable because they have a specific pattern, and may be missing other secrets that use less recognizable patterns.
I mean, sure, compared to the 478,876 Projects claimed on https://pypi.org/, that's a pretty small minority. On the other hand, I'd guess a many Python packages don't use these particular services, or even need to connect to a remote service at all, so the area for this class of mistake should be even smaller.
And mistakes do happen, but that's a pretty big thing to miss if you are knowingly publishing your code with the expectation other people will be reading it.
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Pezzo v0.5 - Dashboards, Caching, Python Client, and More!
PyPi package
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Modifying keywords in python package
Does pypi.org display the Union of all keywords, the keywords of the most recent release, the keywords of the first release or some other weird combination like the intersection?
What are some alternatives?
openapi-typescript-code-generator - TypeScript code generator via OpenAPI scheme.
devpi
redoc - 📘 OpenAPI/Swagger-generated API Reference Documentation
bandersnatch
trying-out-nestjs-part-4
localshop - local pypi server (custom packages and auto-mirroring of pypi)
typoa - 🏗 Build OpenAPI definitions from Typescript typings
Poe the Poet - A task runner that works well with poetry.
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
scribd-downloader
connect-go - Moved to https://github.com/connectrpc/connect-go
Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.