dfm_tools | Python package for pre- and postprocessing D-FlowFM model

by Deltares Python Version: v0.11.0 License: GPL-3.0

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kandi X-RAY | dfm_tools Summary

dfm_tools is a Python library. dfm_tools has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install dfm_tools' or download it from GitHub, PyPI.

A Python package for pre- and postprocessing D-FlowFM model input and output files. Contains convenience functions built on top of other packages like [xarray] [xugrid] [hydrolib-core] and many more.

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Support

dfm_tools has a low active ecosystem.

It has 45 star(s) with 6 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 25 open issues and 69 have been closed. On average issues are closed in 16 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dfm_tools is v0.11.0

Quality

dfm_tools has no bugs reported.

Security

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

License

dfm_tools 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

dfm_tools releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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

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dfm_tools Key Features

No Key Features are available at this moment for dfm_tools.

dfm_tools Examples and Code Snippets

No Code Snippets are available at this moment for dfm_tools.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install dfm_tools

You can install using 'pip install dfm_tools' or download it from GitHub, PyPI.
You can use dfm_tools 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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