fastapi-mvc VS fastapi_contrib

Compare fastapi-mvc vs fastapi_contrib and see what are their differences.

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fastapi-mvc fastapi_contrib
7 1
566 594
2.1% 0.0%
6.9 0.0
8 days ago over 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

fastapi_contrib

Posts with mentions or reviews of fastapi_contrib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-19.

What are some alternatives?

When comparing fastapi-mvc and fastapi_contrib you can also consider the following projects:

example - Example project created by fastapi-mvc from fastapi-mvc/copier-project template

fastapi-users - Ready-to-use and customizable users management for FastAPI

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints

gcp-fastapi-poetry - Template repo for a GCP-hosted REST API with automatic API versioning and custom domain mapping

starsessions - Advanced sessions for Starlette and FastAPI frameworks

fastgen - A CLI for your next FastAPI project

sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.

fastapi-cache - fastapi-cache is a tool to cache fastapi response and function result, with backends support redis and memcached.

DecoRouter - FastAPI style routing for starlette

nix-be - Create a low cost Nix environment from what is already in your /nix/store.

pydantic-factories - Simple and powerful mock data generation using pydantic or dataclasses