glumpy | Python+Numpy+OpenGL : fast | Data Visualization library

by glumpy Python Version: 1.2.0 License: BSD-3-Clause

X-Ray Key Features Code Snippets(3)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | glumpy Summary

glumpy is a Python library typically used in Analytics, Data Visualization, Numpy applications. glumpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

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glumpy has a highly active ecosystem.

It has 1168 star(s) with 174 fork(s). There are 41 watchers for this library.

It had no major release in the last 12 months.

There are 82 open issues and 117 have been closed. On average issues are closed in 113 days. There are 10 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of glumpy is 1.2.0

Quality

glumpy has 0 bugs and 0 code smells.

Security

glumpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

glumpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

glumpy is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

glumpy releases are available to install and integrate.

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

glumpy saves you 15118 person hours of effort in developing the same functionality from scratch.

It has 30797 lines of code, 2271 functions and 344 files.

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

Top functions reviewed by kandi - BETA

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

Parse FFMPEG
Convert a time string into seconds
Get a setting
Check if obj is a string
Insert new items at index
Convert the image to raw bytes
Calculate the palette of the PLTE chunk
Process a PNG file
Returns the length and type of the chunk
Append a collection of points
Append new vertices
Append new vertices to the collection
Append a collection of vertices
Process an SDL2 event
Generate code for fetching code
Create a cube
Reads the PNM header from a file
Convert a spectrum to XYZ
Reset all stars
Create a color cube
Generate code for uniform samples
Allocate nodes in the tree
Insert new elements at the given index
Append points to the current mesh
Append two vertices
Returns the code for the filter
Convert XYZ to RGB
Construct a 2D sphere

Get all kandi verified functions for this library.

glumpy Key Features

No Key Features are available at this moment for glumpy.

glumpy Examples and Code Snippets

Installation instructions

C++

Lines of Code : 5

License : No License

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pip install -r requirements.txt
pip install --no-deps -e .

pip install .

python setup.py install

coxlab_eyetracker

driving-simulator

Python

Lines of Code : 5

License : No License

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pip install numpy
pip install glumpy  # optional

python ./main.py

python ./main.py --gl

python ./main.py --help

HUMAN POSE UTIL,Datasets,Visualizations

Python

Lines of Code : 4

License : No License

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pip install matplotlib

git clone https://github.com/glumpy/glumpy.git
cd glumpy
python setup.py install

Community Discussions

Trending Discussions on glumpy

How to speed up rgb plotting in real time in python

Add glumpy widget to PyQt5 GUI

QUESTION

How to speed up rgb plotting in real time in python

Asked 2021-Sep-17 at 21:28

I've been asked to code a crazy idea. We want to have a screen that will display every possible image it can produce using RGB format and every pixel available. Of course, we understand that such code would take millions of years to run its course (even more), but still, this is what we want to do. I have something that works pretty well, the only problem is that the plotting of the image is really slow...

I am currently using matplotlib, I am open to try something else for speed's sake, but I must admit that I am not familiar with other tools and I often find the documentation hard to follow (with glumpy for exemple)

Here is my code:

...

ANSWER

Answered 2021-Sep-17 at 21:28

use matplotlib with caution
If somebody uses matplotlib for imaging, stop reading
For showing video, use openCV. For showing image use opencv/Pillow unless you dont want to show anything extra alongside the image like axes
Take more time thinking about what you are doing, because what you are doing is really not worth doing.

OPENCV implementation (333-500 FPS)

Source https://stackoverflow.com/questions/69228959

QUESTION

Add glumpy widget to PyQt5 GUI

Asked 2021-Mar-16 at 03:10

I have a simple GUI onto which I am plotting images. I create Widgets for text outputs and arrays plots, and I would like to add one for 3D visualtion using glumpy, say to show this example from the glumpy documentation.

What I would like is an "extra" slot on which to have the glumpy output:

I saw for example in this GitHub thread that people were referring to PyQt5 and glumpy integration, but I only see snippets of code and noting that works as a standalone example.

Also, it seems glumpy is already using PyQt5 in the backend (here), but I don't understand this well enough to know if and how I can access it a posteriori?

This is my MWE:

...

ANSWER

Answered 2021-Mar-16 at 03:10

You have to get the internal QGLWidget through the "_native_window" attribute. The following example is based on the official example geometry-surface.py .

Source https://stackoverflow.com/questions/66647769

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

Vulnerabilities

No vulnerabilities reported

Install glumpy

You can download it from GitHub.
You can use glumpy 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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