Cross Origin Resource Sharing ( CORS ) support for Flask
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Updated
May 6, 2024 - Python
Cross Origin Resource Sharing ( CORS ) support for Flask
📌 Flask Roadmap (30+ articles)
Web app for organizing code snippets, with Flask/Python backend, with React/Typescript frontend
Flask starter template to help you build a scalable and maintanable project.
PackRanks provides the best fit course for an NC State student who is trying to decide which course to take, based on official grade distribution data and services that provide professor ratings.
Online classified ads app on Python/Flask backend and TypeScript/React frontend
Base structure for a web application using the Flask micro-framework and the MVC software architecture pattern.
Steps to productionize flask application. Helpful in code debugging and maintenance.
Proyecto de Ingeniería de Software del curso 2018-2019 de la carrera de Ciencia de la Computación de la Universidad de La Habana, Cuba.
a cross-domain website that built by using Flask, MySQL, and Vue3
This project attempts to implement basic Self healing and auto healing system for APIs Tests and UX Tests
This is a Flask API, useful for generating a pdf containing single or multiple Tables in it with the predefined or provided data(via FormData or Json).
Designed and Created a Human Skin Detection Model to identify skin present in an image using color spaces such as RGB, HSV & YCbCr in achieving higher accuracy.
Backend for automated evaluation of programming tasks in higher education
Multiple Barcode Scanner In A Single Image And Extracting Data From Image
Simple Backend for user management with Flask(Python)
Project for a school competition. A front end for twitter blocking offensive posts and giving each post a rating. Also has a post feature, telling you whether what your are about to post could be taken as offensive, Helping you have a good online footprint.
Random Vectorizer API: Production-quality endpoint for generating random 500-dimensional arrays of floats from input sentences. However, this repo focuses on deployment of a Flask application in Production.
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