PySBD | Testing soft body simulation in Python , based on SPH

by chrsbell Python Version: Current License: No License

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kandi X-RAY | PySBD Summary

PySBD is a Python library. PySBD has no bugs, it has no vulnerabilities and it has low support. However PySBD build file is not available. You can download it from GitHub.

#PySBD ###Testing soft body simulation in Python, based on SPH. I wrote this little program for my term project in the fall of 2013 for 15-112 at CMU. The SPH simulator portion was ported from a C++ project I started earlier that year. This simulation uses a base of SPH, or smoothed particle hydrodynamics, in addition to inter-particle springs modeled by Hooke's Law to roughly simulate two dimensional soft bodies. Soft bodies are deformable solids like pillows, cloth, etc.

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PySBD has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

PySBD has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PySBD is current.

Quality

PySBD has no bugs reported.

Security

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

License

PySBD does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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

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

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PySBD Key Features

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PySBD Examples and Code Snippets

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Vulnerabilities

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Install PySBD

You can download it from GitHub.
You can use PySBD 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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