caffeine-ng | ⚠ This project has migrated to codeberg.org | Date Time Utils library

by caffeine-ng Python Version: v3.5.1 License: GPL-3.0

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | caffeine-ng Summary

caffeine-ng is a Python library typically used in Utilities, Date Time Utils applications. caffeine-ng has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install caffeine-ng' or download it from GitHub, PyPI.

⚠ This project has migrated to codeberg.org

Support

Quality

Security

License

Reuse

Support

caffeine-ng has a low active ecosystem.

It has 172 star(s) with 21 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 62 have been closed. On average issues are closed in 901 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of caffeine-ng is v3.5.1

Quality

caffeine-ng has 0 bugs and 53 code smells.

Security

caffeine-ng has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

caffeine-ng code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

caffeine-ng is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

caffeine-ng releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 955 lines of code, 101 functions and 15 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed caffeine-ng and discovered the below as its top functions. This is intended to give you an instant insight into caffeine-ng implemented functionality, and help decide if they suit your requirements.

Initialize the plugin .
Start caffeine .
Returns the icon for the given process name .
Get the icon buffer for the given size .
Context manager that creates the pid file .
Return a list of data files .
Runs the whole window .
Start the caffe pipeline .
Update the tray icon icon .
Get the name of all processes .

Get all kandi verified functions for this library.

caffeine-ng Key Features

No Key Features are available at this moment for caffeine-ng.

caffeine-ng Examples and Code Snippets

ValueError: Namespace GdkPixbuf not available caffeine-ng arch linux error

Python

Lines of Code : 31

License : Strong Copyleft (CC BY-SA 4.0)

Copy

#
# ~/.bashrc
#

# If not running interactively, don't do anything
#[[ $- != *i* ]] && return

#alias ls='ls --color=auto'
#PS1='[\u@\h \W]\$ '

# >>> conda initialize >>>
# !! Contents within this block are manag

Community Discussions

Trending Discussions on caffeine-ng

ValueError: Namespace GdkPixbuf not available caffeine-ng arch linux error

QUESTION

ValueError: Namespace GdkPixbuf not available caffeine-ng arch linux error

Asked 2021-Jan-05 at 20:10

Hi there were some arch updates I recently installed that has broken some stuff on my computer.

I can't get caffeine-ng to work anymore. I get the error ValueError: Namespace GdkPixbuf not available

I did try installing gdk-pixbuf2 via pacman, but this hasn't solved the issue.

I am currently running arch 1.4

...

ANSWER

Answered 2021-Jan-05 at 20:10

Turns out this is a problem to do with miniconda interfering with arch python (or something like that??)

anyway, did the following and got everything working:

Thanks! I edited my .bashrc file:

Source https://stackoverflow.com/questions/65583579

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install caffeine-ng

You can install using 'pip install caffeine-ng' or download it from GitHub, PyPI.
You can use caffeine-ng like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: