API documentation, validation, mocking, and clients.
Community: https://discuss.apistar.org 🤔 💭 🤓 💬 😎
Documentation: https://docs.apistar.com 📘
Requirements: Python 3.6+
API Star is a toolkit for working with OpenAPI or Swagger schemas. It allows you to:
- Build API documentation, with a selection of available themes.
- Validate API schema documents, and provide contextual errors.
- Make API requests using the dynamic client library.
You can use it to build static documentation, integrate it within a Web framework, or use it as the client library for interacting with other APIs.
Install API Star:
$ pip3 install apistar
Let's take a look at some of the functionality the toolkit provides...
We'll start by creating an OpenAPI schema,
openapi: 3.0.0 info: title: Widget API version: '1.0' description: An example API for widgets servers: - url: https://www.example.org/ paths: /widgets: get: summary: List all the widgets. operationId: listWidgets parameters: - in: query name: search description: Filter widgets by this search term. schema: type: string
Let's also create a configuration file
schema: path: schema.yaml format: openapi
We're now ready to start using the
apistar command line tool.
We can validate our OpenAPI schema:
$ apistar validate ✓ Valid OpenAPI schema.
Or build developer documentation for our API:
$ apistar docs --serve ✓ Documentation available at "http://127.0.0.1:8000/" (Ctrl+C to quit)
We can also make API requests to the server referenced in the schema:
$ apistar request listWidgets search=cogwheel
Where did the server go?
With version 0.6 onwards the API Star project is being focused as a framework-agnositic suite of API tooling. The plan is to build out this functionality in a way that makes it appropriate for use either as a stand-alone tool, or together with a large range of frameworks.
The 0.5 branch remains available on GitHub, and can be installed from PyPI
pip install apistar==0.5.41. Any further development of the API Star
server would likely need to be against a fork of that, under a new maintainer.
If you're looking for a high-performance Python-based async framework, then I would instead recommend Starlette.
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