IR_Lab_Package

by m516825 Python Version: Current License: MIT

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

kandi X-RAY | IR_Lab_Package Summary

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

IR_Lab_Package

Support

Quality

Security

License

Reuse

Support

IR_Lab_Package has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of IR_Lab_Package is current.

Quality

IR_Lab_Package has no bugs reported.

Security

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

License

IR_Lab_Package 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

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

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

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IR_Lab_Package Key Features

No Key Features are available at this moment for IR_Lab_Package.

IR_Lab_Package Examples and Code Snippets

No Code Snippets are available at this moment for IR_Lab_Package.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install IR_Lab_Package

You can download it from GitHub.
You can use IR_Lab_Package 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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