luma.led_matrix | Python module to drive LED Matrices

by rm-hull Python Version: Current License: MIT

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

kandi X-RAY | luma.led_matrix Summary

luma.led_matrix is a Python library typically used in Internet of Things (IoT), Raspberry Pi applications. luma.led_matrix has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install luma.led_matrix' or download it from GitHub, PyPI.

Python module to drive LED Matrices & 7-segment displays (MAX7219) and RGB NeoPixels (WS2812 / APA102)

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Quality

Security

License

Reuse

Support

luma.led_matrix has a low active ecosystem.

It has 454 star(s) with 146 fork(s). There are 36 watchers for this library.

It had no major release in the last 6 months.

There are 18 open issues and 144 have been closed. On average issues are closed in 67 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of luma.led_matrix is current.

Quality

luma.led_matrix has 0 bugs and 0 code smells.

Security

luma.led_matrix has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

luma.led_matrix code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

luma.led_matrix is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

luma.led_matrix releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

luma.led_matrix saves you 700 person hours of effort in developing the same functionality from scratch.

It has 1618 lines of code, 129 functions and 26 files.

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

Top functions reviewed by kandi - BETA

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

Generate a demo demo
Set contrast
Preprocess an image
Preprocess the image
Visualize a device
Display minute change
Display the clock
Display an image
Flush the buffer
Display a message in a viewport
Simulate the animation
Set the contrast brightness
Generate a rainbow
Display a message at a specified position
Display the output of a matrix
Show contrast
Set the contrast of the channel
Add a date

Get all kandi verified functions for this library.

luma.led_matrix Key Features

No Key Features are available at this moment for luma.led_matrix.

luma.led_matrix Examples and Code Snippets

No Code Snippets are available at this moment for luma.led_matrix.

Community Discussions

Trending Discussions on luma.led_matrix

MAX7219 twitter streamer using tweepy

QUESTION

MAX7219 twitter streamer using tweepy

Asked 2020-Apr-25 at 17:33

I'm trying to display a twitter stream on a MAX7219 4 in 1 dot matrix using tweepy and a Raspberry Pi. Until now I've been able to:

Print a message on the matrix
Create a streamer filtering tweets that contain a specific word.

But I'm not sure how to unify everything in a single script.

Here's the code I use to print in the matrix:

...

ANSWER

Answered 2020-Apr-25 at 17:33

I changed my on_status function, called the demo function from the matrix and it worked:

Source https://stackoverflow.com/questions/52786087

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

Vulnerabilities

No vulnerabilities reported

Install luma.led_matrix

You can install using 'pip install luma.led_matrix' or download it from GitHub, PyPI.
You can use luma.led_matrix 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 .

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