scftpy | python package for performing polymer self

by liuyxpp Python Version: Current License: Non-SPDX

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

kandi X-RAY | scftpy Summary

scftpy is a Python library. scftpy has no bugs, it has no vulnerabilities, it has build file available and it has low support. However scftpy has a Non-SPDX License. You can download it from GitHub.

A python package for performing polymer self-consistent field theory calculations.

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Quality

Security

License

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Support

scftpy has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of scftpy is current.

Quality

scftpy has no bugs reported.

Security

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

License

scftpy 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

scftpy 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.

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scftpy Key Features

No Key Features are available at this moment for scftpy.

scftpy Examples and Code Snippets

No Code Snippets are available at this moment for scftpy.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install scftpy

You can download it from GitHub.
You can use scftpy 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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