DiffusionGLS | diffusion coefficient of a trajectory with a Generalized

by bio-phys Jupyter Notebook Version: Current License: GPL-3.0

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

kandi X-RAY | DiffusionGLS Summary

DiffusionGLS is a Jupyter Notebook library. DiffusionGLS has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Estimate the self-diffusion coefficient of a trajectory with a Generalized Least Squares (GLS) optimization procedure.

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Quality

Security

License

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Support

DiffusionGLS has a low active ecosystem.

It has 10 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DiffusionGLS is current.

Quality

DiffusionGLS has no bugs reported.

Security

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

License

DiffusionGLS is licensed under the GPL-3.0 License. This license is Strong Copyleft.

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

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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DiffusionGLS Key Features

No Key Features are available at this moment for DiffusionGLS.

DiffusionGLS Examples and Code Snippets

No Code Snippets are available at this moment for DiffusionGLS.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DiffusionGLS

You can download it from GitHub.

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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