vpython-jupyter | 3D visualization

by vpython Python Version: 7.6.4 License: MIT

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

kandi X-RAY | vpython-jupyter Summary

vpython-jupyter is a Python library. vpython-jupyter has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However vpython-jupyter has 11 bugs. You can download it from GitHub.

This package enables one to run VPython in a browser, using the GlowScript VPython API, documented in the Help at If the code is in a cell in a Jupyter notebook, the 3D scene appears in the Jupyter notebook. If the code is launched outside a notebook (e.g. from the command line), a browser window will open displaying the scene. VPython makes it unusually easy to create navigable real-time 3D animations. The one-line program "sphere()" produces a 3D sphere with appropriate lighting and with the camera positioned so that the scene fills the view. It also activates mouse interactions to zoom and rotate the camera view. This implementation of VPython was begun by John Coady in May 2014. Ruth Chabay, Matt Craig, and Bruce Sherwood are assisting in its further development.

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Quality

Security

License

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Support

vpython-jupyter has a low active ecosystem.

It has 106 star(s) with 50 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 37 have been closed. On average issues are closed in 26 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of vpython-jupyter is 7.6.4

Quality

vpython-jupyter has 11 bugs (8 blocker, 0 critical, 2 major, 1 minor) and 296 code smells.

Security

vpython-jupyter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

vpython-jupyter code analysis shows 0 unresolved vulnerabilities.

There are 10 security hotspots that need review.

License

vpython-jupyter 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

vpython-jupyter releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

vpython-jupyter saves you 5708 person hours of effort in developing the same functionality from scratch.

It has 12101 lines of code, 894 functions and 60 files.

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

Top functions reviewed by kandi - BETA

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

Setup attributes
Parse arguments
Append two points
Appends a command to the frontend
Return a dict of the command class to use
Create a ConfigParser from a root directory
Return the project root directory
Extract version information from the VCS
Generate tooth tooth
Clone this object
Called when a message is received
Rotate the object
Scans the setup py file and checks if it is missing
Resets the state of the robot
Draws a line
Export a ring
Export an ellipsoid
Called when the client is closed
Convert a file to triangles
Return a list of pieces from a git repository
Export a canvas
Create the versioneer config file
Sets up the widget
Export a arrow
Setup the controls
Generate a rackgear

Get all kandi verified functions for this library.

vpython-jupyter Key Features

No Key Features are available at this moment for vpython-jupyter.

vpython-jupyter Examples and Code Snippets

No Code Snippets are available at this moment for vpython-jupyter.

Community Discussions

No Community Discussions are available at this moment for vpython-jupyter.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install vpython-jupyter

For more detailed instructions on how to install vpython, see https://vpython.org, where you will also find a link to the VPython forum, which is a good place to report issues and to request assistance.
If you use the anaconda python distribution, install like this: conda install -c vpython vpython
If you use any other python distribution, install this way: pip install vpython
You should install Cython (conda install cython or pip install cython) so that the fast version of the vector class can be generated and compiled. You may also need to install a compiler (command line tools on Mac, community edition on Visual Studio on Windows). If you don't have a compilier vpython should still work, but code that generates a lot of vectors may run a little slower.

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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