There are 5 repositories under werkzeug topic.
An ultra fast WSGI server for Python 3
Flask like web framework for AWS Lambda
Provides a lightweight development runserver on Werkzeug with debugging
Secure cookies and sessions for WSGI
A RESTful API in Flask refers to an application programming interface (API) built using the Flask web framework that follows the principles of Representational State Transfer (REST). Flask is a micro web framework for Python, which is lightweight and flexible, making it a popular choice for building web applications and APIs
A social network implemented in python with flask, based on twitter, where users can create posts, follow friends, search for topics, etc ... created to bring people together.
Upgrade your checkpost security with AUTOMATIC NUMBER PLATE RECOGNITION system.
a lightweight web application launcher for gunicorn and static files.
Deep learning models Serving with Python
A simple python tool to achieve RCE when debug is enabled on Flask/Werkzeug server
Blog Lite is a simple Flask-based web app for blogging, featuring a REST API, Flask-SQLAlchemy, Flask-Login, and SQLite for data management. Perfect for those seeking a lightweight and easy-to-use platform with Python, Flask, and REST API capabilities. Check out the README for installation instructions.
This repo contains code for a simple flask-blog application using Flask and it's libraries for web development.
Retromemes.net - small flask based website to view/upload memes and something else
3D CNN to Predict the presence of pneumonia from CT scans
This is a Full Stack Web Development Project using Flask, SQL Alchemy.
Werkzeug password cracker
This repo holds a book checker app. It enables users to authenticate with email and password, search for books, review books, and leave comments. People are also able to comment on others' reviews
This is a flask project with the required libraries. It's the initial project architecture for the flask.
Yandex Lyceum project for certification.
It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for testing and Training the Model and Flask is Uses in Backend and in Frontend HTML, CSS, Js is Using.
Online Doctor Visit Appointment Web Application.
Flask REST API with Sqlalchemy and Flasgger