xsar_slc | Functions for Sentinel-1 SLC products

by umr-lops Python Version: 2023.03.28 License: GPL-3.0

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

kandi X-RAY | xsar_slc Summary

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

Functions for Sentinel-1 SLC products.

Support

Quality

Security

License

Reuse

Support

xsar_slc has a low active ecosystem.

It has 2 star(s) with 2 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 12 open issues and 38 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xsar_slc is 2023.03.28

Quality

xsar_slc has no bugs reported.

Security

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

License

xsar_slc 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

xsar_slc releases are available to install and integrate.

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

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

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xsar_slc Key Features

No Key Features are available at this moment for xsar_slc.

xsar_slc Examples and Code Snippets

No Code Snippets are available at this moment for xsar_slc.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install xsar_slc

You can download it from GitHub.
You can use xsar_slc 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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