OpenAPI Utilities: 8 Best OpenAPI Utilities Libraries In Python

In this Python article, let's learn about OpenAPI Utilities: 8 Best OpenAPI Utilities Libraries In Python for Developer

pyramid_openapi3: Pyramid addon for OpenAPI3 validation of requests and responses.
Django REST Swagger: Swagger Documentation Generator for Django REST Framework: deprecated
apistar: The Web API toolkit. 🛠
flask-swagger: A swagger 2.0 spec extractor for flask
Spectacle: Beautiful static documentation generator for OpenAPI/Swagger 2.0
pyramid_swagger: Convenient tools for using Swagger to define and validate your interfaces in a Pyramid webapp.

What is OpenAPI in Python?

OpenAPI helps developers specify the input/output schemas, the resources and the methods. With an OpenAPI specification, OpenAPI generator can prepare server-end and client-end artifacts (stubs) automatically in the programming language and framework of your choice

What is the use of OpenAPI?

An open API is a valuable type of technology for developers. It provides standards for how software programs communicate with each other. With an open API, developers have to write less code to make different software programs work together seamlessly.

OpenAPI Utilities: 8 Best OpenAPI Utilities Libraries In Python

pyramid_openapi3

The reason this package exists is to give you peace of mind when providing a RESTful API. Instead of chasing down preventable bugs and saying sorry to consumers, you can focus on more important things in life.

Features

Validates your API document (for example, openapi.yaml or openapi.json) against the OpenAPI 3.0 specification using the openapi-spec-validator.
Generates and serves the Swagger try-it-out documentation for your API.
Validates incoming requests and outgoing responses against your API document using openapi-core.

Getting started

Declare pyramid_openapi3 as a dependency in your Pyramid project.

Include the following lines:

config.include("pyramid_openapi3")
config.pyramid_openapi3_spec('openapi.yaml', route='/api/v1/openapi.yaml')
config.pyramid_openapi3_add_explorer(route='/api/v1/')

Use the openapi view predicate to enable request/response validation:

@view_config(route_name="foobar", openapi=True, renderer='json')
def myview(request):
    return request.openapi_validated.parameters

For requests, request.openapi_validated is available with two fields: parameters and body. For responses, if the payload does not match the API document, an exception is raised.

View on GitHub

2. Django REST Swagger

This project is no longer being maintained. Please consider drf-yasg as an alternative/successor. I haven't personally used it, but it looks feature-complete and is actively maintained.

An API documentation generator for Swagger UI and Django REST Framework

Full documentation: http://marcgibbons.github.io/django-rest-swagger/

Installation

pip install django-rest-swagger

Add rest_framework_swagger to your INSTALLED_APPS setting:

    INSTALLED_APPS = (
        ...
        'rest_framework_swagger',
    )

Rendering Swagger Specification and Documentation

This package ships with two renderer classes:

OpenAPIRenderer generates the OpenAPI (fka Swagger) JSON schema specification. This renderer will be presented if:

Content-Type: application/openapi+json is specified in the headers.
?format=openapi is passed as query param

SwaggerUIRenderer generates the Swagger UI and requires the OpenAPIRenderer

Quick Start Example:

from django.conf.urls import url
from rest_framework_swagger.views import get_swagger_view

schema_view = get_swagger_view(title='Pastebin API')

urlpatterns = [
    url(r'^$', schema_view)
]

View on GitHub

3. apistar

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.

Quickstart

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, schema.yaml:

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 apistar.yml:

schema:
  path: schema.yaml
  format: openapi

We're now ready to start using the apistar command line tool.

View on GitHub

4. flask-swagger

A Swagger 2.0 spec extractor for Flask

You can now specify base path for yml files:

app = Flask(__name__)

@app.route("/spec")
def spec():
    base_path = os.path.join(app.root_path, 'docs')
    return jsonify(swagger(app), from_file_keyword="swagger_from_file", base_path=base_path)

and use relative paths:

@app.route('/test', methods=['POST'])
def login():
    """
    swagger_from_file: test.yml
    """

Install:

pip install flask-swagger

Flask-swagger provides a method (swagger) that inspects the Flask app for endpoints that contain YAML docstrings with Swagger 2.0 Operation objects.

class UserAPI(MethodView):

    def post(self):
        """
        Create a new user
        ---
        tags:
          - users
        definitions:
          - schema:
              id: Group
              properties:
                name:
                 type: string
                 description: the group's name
        parameters:
          - in: body
            name: body
            schema:
              id: User
              required:
                - email
                - name
              properties:
                email:
                  type: string
                  description: email for user
                name:
                  type: string
                  description: name for user
                address:
                  description: address for user
                  schema:
                    id: Address
                    properties:
                      street:
                        type: string
                      state:
                        type: string
                      country:
                        type: string
                      postalcode:
                        type: string
                groups:
                  type: array
                  description: list of groups
                  items:
                    $ref: "#/definitions/Group"
        responses:
          201:
            description: User created
        """
        return {}

Flask-swagger supports docstrings in methods of MethodView classes (à la Flask-RESTful) and regular Flask view functions.

View on GitHub

5. Spectacle

Spectacle generates beautiful static HTML5 documentation from OpenAPI/Swagger 2.0 API specifications.

The goal of Spectacle is help you "save time and look good" by providing an extensible platform for auto generating your REST API docs. The default layout is a three column single page, similar to those employed by Stripe and Intercom.

Usage

Simply install Spectacle from npm like so:

npm install -g spectacle-docs

Next pass your swagger.json document use the CLI to generate your documentation.

spectacle -d your_swagger_api.json

# Or use the cheese.json example to test it out
# spectacle -d -l test/fixtures/cheese.png test/fixtures/cheese.yml

Your generated documentation will be located in the public directory by default. You can either copy the generated HTML to your web server, or view your docs by pointing your browser to http://localhost:4400/.

Docker

Docker images are included that allow Spectacle to be run from the inside. It's useful, for instance, in a Gitlab CI pipeline. Thanks @alexeiaguiar.

How to use it: docker run -it sourcey/spectacle /bin/sh

View on GitHub

6. pyramid_swagger

This project offers convenient tools for using Swagger to define and validate your interfaces in a Pyramid webapp.

Full documentation is available at http://pyramid-swagger.readthedocs.org/.

How to contribute

Fork this repository on Github: https://help.github.com/articles/fork-a-repo/

Clone your forked repository: https://help.github.com/articles/cloning-a-repository/

Make a feature branch for your changes:

git remote add upstream https://github.com/striglia/pyramid_swagger.git
git fetch upstream
git checkout upstream/master -b my-feature-branch

Create and activate the virtual environment, this will provide you with all the libraries and tools necessary for pyramid_swagger development:

make
source .activate.sh

Make sure the test suite works before you start:

tox -e py27    # Note: use py35 for Python 3.5, see tox.ini for possible values

Commit patches: http://gitref.org/basic/

Push to github: git pull && git push origin

Send a pull request: https://help.github.com/articles/creating-a-pull-request/

View on GitHub

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Buddha Community

OpenAPI Utilities: 8 Best OpenAPI Utilities Libraries In Python

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Why use Python for Software Development

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5 Reasons to Utilize Python for Programming Web Apps

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Top 20 Most Useful Python Modules or Packages

March 25, 2021 Deepak@321 0 Comments

Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.

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Top 7 Python Libraries Used For Hacking

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Know more here.

3| IMpacket

**Stars: **5.3k

**About: **IMpacket is a library that includes a collection of Python classes for working with network protocols. It is focused on providing low-level programmatic access to network packets. It allows Python developers to craft and decode network packets in a simple and consistent manner. The library provides a set of tools as examples of what can be done within the context of this library.

Know more here.

4| Cryptography

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**About: **Cryptography is a package which provides cryptographic recipes and primitives to Python developers. It includes both high-level recipes and low-level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests and key derivation functions. This library is broadly divided into two levels. One is with safe cryptographic recipes that require little to no configuration choices. The other level is low-level cryptographic primitives, which are often dangerous and can be used incorrectly.

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Discover useful Python libraries that you should try out in your next project

Some of my most popular blogs are about Python libraries. I believe that they are so popular because Python libraries have the power to save us a lot of time and headaches. The problem is that most people focus on those most popular libraries but forget that multiple less-known Python libraries are just as good as their most famous cousins.

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OpenAPI Utilities: 8 Best OpenAPI Utilities Libraries In Python

What is OpenAPI in Python?

What is the use of OpenAPI?

OpenAPI Utilities: 8 Best OpenAPI Utilities Libraries In Python

Features

Getting started

2. Django REST Swagger

An API documentation generator for Swagger UI and Django REST Framework

Installation

Rendering Swagger Specification and Documentation

Quick Start Example:

3. apistar

Quickstart

4. flask-swagger

5. Spectacle

Usage

Docker

6. pyramid_swagger

How to contribute

Related videos:

Related posts:

5 Reasons to Utilize Python for Programming Web Apps

Summary

1| Requests

2| Scapy

3| IMpacket

4| Cryptography

Discover useful Python libraries that you should try out in your next project