FastAPI vs. Flask: Comparing the Pros and Cons of Top Microframeworks for Building a REST API in Python

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • OpenAPI-Specification

    The OpenAPI Specification Repository

    The most common standard for creating such documentation is OpenAPI and JSONSchema.

  • flasgger

    Easy OpenAPI specs and Swagger UI for your Flask API

    Flask offers extensions, such as Flask-Swagger or Flasgger, which operate using the specification mentioned above. They require additional installation and knowledge of the format used by these standards.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • redoc

    📘 OpenAPI/Swagger-generated API Reference Documentation

    FastAPI has documentation that is fully compatible with OpenAPI and JSONSchema, which is created automatically from Pydantic schemas and function parameters or GET variables. The user interface is provided by SwaggerUI and Redoc.

  • pydantic

    Data validation using Python type hints

    FastAPI, on the other hand, gives us the Pydantic library to use, which makes data validation much simpler and faster than typing it by hand. It’s closely related to FastAPI itself, so we can be sure that Pydantic will be compatible with our framework at all times.

  • awesome-jsonschema

    A curated list of awesome JSON Schema resources, tutorials, tools, and more.

    The most common standard for creating such documentation is OpenAPI and JSONSchema.

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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