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

• OpenAPI-Specification

  44 28,215 8.6 JavaScript

  The OpenAPI Specification Repository

  

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

• flasgger

  4 3,491 4.5 Python

  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.

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• redoc

  35 22,462 7.5 TypeScript

  📘 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

  167 18,617 9.8 Python

  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

  70 101 5.3 Handlebars

  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

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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