aztro VS falcon

curl -H 'Accept: json' -X POST 'https://aztro.sameerkumar.website/?sign=aries&day=yesterday'

requests.post('https://aztro.sameerkumar.website/', params=params)

useEffect(() => { setLoading(true); // this will kick off and have your "loading" appear const url = `https://aztro.sameerkumar.website/?sign=${sunSign}&day=today`; fetch(url, { method: 'POST' }) .then((res) => res.json()) .then((data) => setSunSignData(data)) // you are setting sunSignData, but you are never using it anywhere? .then(() => setLoading(false)); // this turns off the loading screen }, [sunSign]); // when sunSign changes, this will run the useEffect

export const actions = { GET_TODAY({ commit }) { axios.post(`https://aztro.sameerkumar.website/?sign=${state.sign}&day=today`) .then(response => { commit('SET_TODAY', response.data) }) } }

Recently I was working on sample project that helps to sharpen my skill in React Native (RN), and I found an interesting API which related to horoscope. It was Aztro API, an open-source horoscope API. Hence, I decided to write myself a Horoscope App!

Falcon FastAPI Sanic Starlite (disclosure: I do work here)

Sanic is very very popular with 16.6k stars, 1.5k forks, opencollective sponsors and a very active github. Falcon is more popular than japronto with 8.9k stars, 898 forks, opencollective sponsors and a very active github too. Despite Japronto been keeped as first place by TechEmPower, Falcon is a way better solution in general with performance similar to fastify an very fast node.js framework that hits 575k requests per second in this benchmark.

I prefer Falcon for kicking up an API.

Falcon

And here's a project that's mostly Python, and optionally uses Cython https://github.com/falconry/falcon

To help with the above two cases I would consider using a microframework, and the Python community provides many solutions. In my professional career I’ve had the opportunity to work with three very good alternatives to Django: Flask, Falcon, and Fast API. Flask is designed to be easy to use and extend. It follows the principles of minimalism and gives more control over the app. Choosing it, developers can use multiple types of databases, which is not easy to do in Django. We can also plug in our favorite ORM and use it without any risk of unpredictable app behavior. In contrast to Django, it’s easy to integrate NoSQL databases with Flask.

This may not be exactly what you asked for but I found contributing to open source projects really exposed me to different approaches I never would have considered and may not have fully grasped had I not had to actually dive into the code to solve an issue. Falcon is a great place to start and the guys are super friendly there.

https://falcon.readthedocs.io/en/stable/ https://fastapi.tiangolo.com/