lompe

by klaundal Python Version: v1.1.1 License: MIT

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

kandi X-RAY | lompe Summary

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

image:: :target: LOcal Mapping of Polar ionospheric Electrodynamics (Lompe). Lompe is a tool for estimating regional maps of ionospheric electrodynamics using measurements of plasma convection and magnetic field disturbances in space and on ground.

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Quality

Security

License

Reuse

Support

lompe has a low active ecosystem.

It has 10 star(s) with 3 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of lompe is v1.1.1

Quality

lompe has no bugs reported.

Security

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

License

lompe is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

lompe releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

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lompe Key Features

No Key Features are available at this moment for lompe.

lompe Examples and Code Snippets

No Code Snippets are available at this moment for lompe.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install lompe

(NB: In the below, if you do not have mamba, replace mamba with conda).

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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