triangle_check | script allows to scan iTunes backups

by KasperskyLab Python Version: v0.0.1 License: MIT

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

kandi X-RAY | triangle_check Summary

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

triangle_check

Support

Quality

Security

License

Reuse

Support

triangle_check has a low active ecosystem.

It has 284 star(s) with 16 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of triangle_check is v0.0.1

Quality

triangle_check has no bugs reported.

Security

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

License

triangle_check 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

triangle_check 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, examples and code snippets are available.

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triangle_check Key Features

No Key Features are available at this moment for triangle_check.

triangle_check Examples and Code Snippets

No Code Snippets are available at this moment for triangle_check.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install triangle_check

The triangle_check utility can be installed from [PyPI](https://pypi.org/project/triangle-check/) (recommended):.

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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