This graphical tool, called P3X Redis UI. It provides a simple and fast interface for the user to manage Redis instances. Having visualization and interaction capabilities with Redis databases.
P3X Redis UI is a very functional handy database GUI and works in your pocket on the responsive web or as a desktop app
Bugs are evident – MATRIX
NodeJS LTS is supported
Built on NodeJs version
v20.11.1
p3x-redis-ui is a new Redis GUI which can serve as a backend server or as a desktop application.
Some of the features are coming below.
The best use case for this Redis GUI, if you manage tons of JSON, as it includes JSONEditor and ACE. Check out the different options in the edit json button dialog. 🙂
Warning
It is not recommend to generate the configuration JSON via a text editor. The perfect solution is to generate the configuration in the GUI, then apply for example in Kubernetes.
AngularJs Vulnerabilities
The online current version
https://p3x.redis.patrikx3.com
This Redis database every day in the morning European time CET…
Install
Install Management Package Snap.
$ sudo apt update
$ sudo apt install snapd
Check Installation.
$ sudo snap install hello-world
hello-world 6.3 from Canonical✓ installed
$ hello-world
Hello World!
Install package P3X Redis UI.
sudo snap install p3x-redis-ui
Now let’s perform a test, open your terminal and run the following commands. At this stage you need to have Redis installed if you don’t have it, I have a tutorial explaining it.
redis-server --daemonize yes
redis-cli
# Expected: 127.0.0.1:6379>
# Create
127.0.0.1:6379> SET 'players_online' 112
OK
127.0.0.1:6379>
# GET
127.0.0.1:6379> GET players_online
"112"
127.0.0.1:6379>
After completing each step, we will open the P3X Redis UI.
Create a new connection:
You will complete the fields as in the image, test the connection and then add:
We are now connected:
Resources:
My Latest Posts
About the author:
A little more about me…
Graduated in Bachelor of Information Systems, in college I had contact with different technologies. Along the way, I took the Artificial Intelligence course, where I had my first contact with machine learning and Python. From this it became my passion to learn about this area. Today I work with machine learning and deep learning developing communication software. Along the way, I created a blog where I create some posts about subjects that I am studying and share them to help other users.
I’m currently learning TensorFlow and Computer Vision
Curiosity: I love coffee
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