flask-express VS navycut

Compare flask-express vs navycut and see what are their differences.

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flask-express navycut
1 1
5 16
- -
1.3 0.0
12 months ago about 1 year ago
Python Python
MIT License 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

flask-express

Posts with mentions or reviews of flask-express. We have used some of these posts to build our list of alternatives and similar projects.
  • Feel like ExpressJs while using Python Flask
    1 project | dev.to | 26 Jul 2021
    Do you love to write back-end code using ExpressJs? Do you like the auto completion features of Vscode while using typing based language or framework? Do you want to get all of above mentioned features while using a Python based framework called Flask ? I have created a new python module called Flaske, to provide these features.

navycut

Posts with mentions or reviews of navycut. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-07.

What are some alternatives?

When comparing flask-express and navycut you can also consider the following projects:

expross - Expross is a lightweight webserver to introduce JavaScript developers familiar with Express to Python.

flask-email-login - A simple Flask app that doesn't request or store passwords but lets users login based on a login token send via email (magic link).

Dependency Injector - Dependency injection framework for Python

flask-file-upload - Easy file uploads for Flask.

uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.