flow_band | Flowband profile model for marine terminating glaciers

by AaronStGeorge Python Version: Current License: No License

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kandi X-RAY | flow_band Summary

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

Flowband profile model for marine terminating glaciers. Solves problems leading to steady state and transient solutions for surface profiles depicted on page 6 of "Beyond Back Stress: Model experiments on the stability of marine-terminating outlet glaciers" by Kees van der Veen. Written by: Glen Granzow.

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flow_band 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.

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

It has a neutral sentiment in the developer community.

The latest version of flow_band is current.

Quality

flow_band has no bugs reported.

Security

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

License

flow_band 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.

Reuse

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

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

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flow_band Key Features

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flow_band Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install flow_band

You can download it from GitHub.
You can use flow_band 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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