algorand-auto-claim-rewards VS fastapi-realworld-example-app

Compare algorand-auto-claim-rewards vs fastapi-realworld-example-app and see what are their differences.

algorand-auto-claim-rewards

A docker-compose that will help you automate claiming your Algorand stake rewards. (by andressspinetti)

fastapi-realworld-example-app

Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI (by nsidnev)
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algorand-auto-claim-rewards fastapi-realworld-example-app
2 2
10 2,088
- -
0.0 5.5
over 1 year ago over 1 year ago
Python Python
- 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.
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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.

algorand-auto-claim-rewards

Posts with mentions or reviews of algorand-auto-claim-rewards. We have used some of these posts to build our list of alternatives and similar projects.

fastapi-realworld-example-app

Posts with mentions or reviews of fastapi-realworld-example-app. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-29.
  • Best places/ways to learn APIs for career progression?
    1 project | /r/Python | 12 Mar 2023
    I'd also recommend checking out various "real world" repositories. E.g. one for FastAPI is here It comes with perfectly reasonable API.
  • New server-side framework based on monadic parsing
    5 projects | /r/haskell | 29 Mar 2022
    Me showing off Okapi (hopefully): Okapi is simple. A functor can do this, applicative can do this, a monad can do this. Learn this small set of functions. Sequence them with do. Branch them with <|>. You need to learn the structure of an HTTP request, but that's good because you need to know that anyway if you want to develop Web apps. Here's the documentation. Look at how simple and compact this is compared to this.

What are some alternatives?

When comparing algorand-auto-claim-rewards and fastapi-realworld-example-app you can also consider the following projects:

CutCat - Copy objects from real life and directly paste them on a background image using only your phone's camera

realworld - "The mother of all demo apps" β€” Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more

algoworld-swapper - Free, Secure and extensible asset swapper powered by Algorand

yt-dlp-bot - Self-hosted Video Download Telegram Bot πŸ‡ΊπŸ‡¦

algopytest - AlgoPytest is a framework which hides away all of the complexity and repetitiveness that comes with testing Algorand Smart Contracts.

okapi - A data-driven micro web framework for Haskell

Docker Compose - Define and run multi-container applications with Docker

hass-weatherflow2mqtt - WeatherFlow to MQTT for Home Assistant. Use UDP to get local weather data in to Home Assistant using MQTT Discovery

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

Suave.IO - Suave is a simple web development F# library providing a lightweight web server and a set of combinators to manipulate route flow and task composition.

telegram-bot-template - πŸ€– Template for telegram bot using postgres, pgbouncer, redis, docker, amplitude, prometheus, grafana, CI

full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.