graphul
fastapi-microservices
| graphul | fastapi-microservices | |
|---|---|---|
| 7 | 1 | |
| 439 | 381 | |
| 1.4% | - | |
| 4.9 | 2.7 | |
| 8 months ago | 12 months ago | |
| Rust | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
graphul
fastapi-microservices
-
Is a Framework like Django possible in Rust
Ha! I do write SQL since that's where I cut my teeth many years ago. But I mostly use stored procedures where possible. I prefer not to use ORMs - sorry I don't find that side work... I am not saying Django's was bad or inferior, just do not prefer it. For FastAPI - maybe you missed the various repos with everything you mentioned was missing (there are great ones directly from the maintainer as well as others). No more glue than what you find in all the modules in a large Django project, just maybe in different forms and flavors. Besides, we're here to talk about Rust, making me wonder why we're debating two Python projects. Yes, I fell in love with Django, the romance faded in 2018, and I moved on. Feel free to enjoy using it - I'm not trying to sway you away from it!
What are some alternatives?
Rouille, Rust web server middleware - Web framework in Rust
FastAPI-boilerplate - An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.
askama - Type-safe, compiled Jinja-like templates for Rust
jockey - 🏇 Generic Python library for running asynchronous workers. Useful for building event handlers, web frameworks, and alike.
Rocket - A web framework for Rust.
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
yew - Rust / Wasm framework for creating reliable and efficient web applications
Hello-Python - Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...