vapory | Photo-realistic 3D rendering with Python and POV-Ray | Data Manipulation library

by Zulko Python Version: Current License: Non-SPDX

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

kandi X-RAY | vapory Summary

vapory is a Python library typically used in Utilities, Data Manipulation applications. vapory has no bugs, it has no vulnerabilities, it has build file available and it has low support. However vapory has a Non-SPDX License. You can download it from GitHub.

Photo-realistic 3D rendering with Python and POV-Ray

Support

Quality

Security

License

Reuse

Support

vapory has a low active ecosystem.

It has 460 star(s) with 66 fork(s). There are 24 watchers for this library.

It had no major release in the last 6 months.

There are 26 open issues and 10 have been closed. On average issues are closed in 78 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of vapory is current.

Quality

vapory has 0 bugs and 0 code smells.

Security

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

vapory code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vapory has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

vapory saves you 321 person hours of effort in developing the same functionality from scratch.

It has 771 lines of code, 29 functions and 18 files.

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

Top functions reviewed by kandi - BETA

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

Render the image
Convert a PPM file to a NumPy array
Return a new QuerySet with new arguments
Return a shallow copy of the object
Render a pov string
Use setuptools
Extract all members of the tar archive
Build a setuptools egg
Run python executable
Returns a new instance with the given objects
Make a deep copy of the object
Open the help page
Return the name of the class
Download setuptools
Install setuptools
Parse command line arguments
Build install arguments
Set camera

Get all kandi verified functions for this library.

vapory Key Features

No Key Features are available at this moment for vapory.

vapory Examples and Code Snippets

No Code Snippets are available at this moment for vapory.

Community Discussions

Trending Discussions on vapory

Vapor 3: when returning a model, how to easily also return child objects

QUESTION

Vapor 3: when returning a model, how to easily also return child objects

Asked 2019-Mar-10 at 16:56

I have a model Campaign, that has multiple Months:

...

ANSWER

Answered 2019-Mar-10 at 16:56

You could use SwifQL lib for complex queries

I'm not sure that with SQLite it is possible to subquery Months, but with PostgreSQL it is really easy cause it supports JSON

So for PostgreSQL your query may look like

Source https://stackoverflow.com/questions/55089886

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

Vulnerabilities

No vulnerabilities reported

Install vapory

You can download it from GitHub.
You can use vapory 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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