oryx-diff | Tool to check equipment losses on Oryx

by SleepingSoul Python Version: Current License: MIT

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

kandi X-RAY | oryx-diff Summary

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

Tool to check equipment losses on Oryx

Support

Quality

Security

License

Reuse

Support

oryx-diff 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.

oryx-diff has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of oryx-diff is current.

Quality

oryx-diff has no bugs reported.

Security

oryx-diff has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

oryx-diff 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

oryx-diff releases are not available. You will need to build from source code and install.

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

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oryx-diff Key Features

No Key Features are available at this moment for oryx-diff.

oryx-diff Examples and Code Snippets

No Code Snippets are available at this moment for oryx-diff.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install oryx-diff

You can download it from GitHub.
You can use oryx-diff 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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