crossplane
nginx-ui
Our great sponsors
crossplane | nginx-ui | |
---|---|---|
2 | 1 | |
675 | 4,372 | |
1.6% | - | |
0.0 | 2.7 | |
3 months ago | 9 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
crossplane
- Is there any way to automate highly configurable deployments?
-
Is it possible to control some parameters of Nginx programatically
You can build software that will use a parser for NGINX config files and change them based on some sort of signalling like an API call. You could use NGINX Wrapper, to wrap NGINX execution and restart it after you modify its config.
nginx-ui
What are some alternatives?
nginx-openid-connect - Reference implementation of OpenID Connect integration for NGINX Plus
flask-dash-app - Embed Plotly Dash into your Flask applications. Docker-based Flask project wrapping Plotly's Dash. Include multiple Dash apps in a single Flask app.
nginx-wrapper - NGINX Event Process Wrapper
docker-nginx-gunicorn-flask-letsencrypt - Boilerplate code for setting up Nginx + Gunicorn + Flask + automated LetsEncrypt certificates (https) using docker-compose.
CyberChef - The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
flask-cache-redis - :fire: Implementation of API Caching with Flask, Redis and Docker
israbrew - Beers from various suppliers across the state scraped onto one website
CutCat - Copy objects from real life and directly paste them on a background image using only your phone's camera
uwsgi-nginx-flask-docker - Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.
Flask-Template - Flask Portfolio Template
logparser - A machine learning toolkit for log parsing [ICSE'19, DSN'16]