matrix-factorization VS fastapi

Compare matrix-factorization vs fastapi and see what are their differences.

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matrix-factorization fastapi
1 462
19 70,541
- -
2.9 9.7
6 months ago 1 day 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.

matrix-factorization

Posts with mentions or reviews of matrix-factorization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-26.

fastapi

Posts with mentions or reviews of fastapi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-18.

What are some alternatives?

When comparing matrix-factorization and fastapi you can also consider the following projects:

AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python

HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]

Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.

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

Flask - The Python micro framework for building web applications.

swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.

Django - The Web framework for perfectionists with deadlines.

starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

django-rest-framework - Web APIs for Django. 🎸

quart - An async Python micro framework for building web applications.

chalice - Python Serverless Microframework for AWS