numpy-mandelbrot | Mandelbrot image generator written in Python

by ChrisCalderon Python Version: Current License: GNU GPLv3

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

kandi X-RAY | numpy-mandelbrot Summary

numpy-mandelbrot is a Python library. numpy-mandelbrot has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However numpy-mandelbrot build file is not available. You can download it from GitLab.

A Mandelbrot image generator written in Python using numpy and pypng.

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Support

numpy-mandelbrot has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

numpy-mandelbrot has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of numpy-mandelbrot is current.

Quality

numpy-mandelbrot has no bugs reported.

Security

numpy-mandelbrot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

numpy-mandelbrot is licensed under the GNU GPLv3 License. This license is Strong Copyleft.

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

Reuse

numpy-mandelbrot releases are not available. You will need to build from source code and install.

numpy-mandelbrot has no build file. You will be need to create the build yourself to build the component from source.

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numpy-mandelbrot Key Features

No Key Features are available at this moment for numpy-mandelbrot.

numpy-mandelbrot Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install numpy-mandelbrot

You can download it from GitLab.
You can use numpy-mandelbrot 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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