geojson-pydantic VS FastAPIQuickCRUD

Compare geojson-pydantic vs FastAPIQuickCRUD and see what are their differences.

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geojson-pydantic FastAPIQuickCRUD
1 8
204 248
2.9% -
8.0 5.1
3 months ago 4 months 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.

geojson-pydantic

Posts with mentions or reviews of geojson-pydantic. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-24.
  • SQLModel: SQL DBs based on Python type hints. The biggest thing I've built since FastAPI and Typer. 😅
    3 projects | /r/FastAPI | 24 Aug 2021
    All I would want from SQLModel right now would be support for a geography column from GeoALchemy and then a validator which converts the EWB to GeoJSON (https://geojson.org/) (As GeoJSON is a standard for most map frameworks to consume and produce spatial data). There is a Pydantic library representing the GeoJSON spec (https://github.com/developmentseed/geojson-pydantic) - it currently doesn't work in FastAPI since it uses tuples for coordinate sequences and Tuples are not supported until OpenAPI schema v3.1 AFAIK.

FastAPIQuickCRUD

Posts with mentions or reviews of FastAPIQuickCRUD. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-24.

What are some alternatives?

When comparing geojson-pydantic and FastAPIQuickCRUD you can also consider the following projects:

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

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

pg-counter-metrics - PG Counter Metrics ( PGCM ) is a tool for publishing PostgreSQL performance data to CloudWatch. By publishing to CloudWatch, dashboards and alarming can be used on the collected data.

pydantic - Data validation using Python type hints

dopg_cli - 🐍🐳🐘 A python command line interface for DigitalOcean postgres clusters (5+ integrations).

uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.

fastapi-template - FastAPI template

django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs

prisma-client-py - Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use

simple-web-scraper - Simple web scraper to get player data using beatiful-soup4 and PostgreSQL as a database. SQLAlchemy as an ORM

fastapi-boilerplate-with-postgres - A production ready boilerplate/template for FastAPI and PostgreSQL