python-deep | Flexible comparison of nested python datastrucures

by tahajahangir Python Version: Current License: LGPL-3.0

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

kandi X-RAY | python-deep Summary

python-deep is a Python library. python-deep has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

Flexible comparison of nested python datastrucures and objects. (fork of

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Quality

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License

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Support

python-deep has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of python-deep is current.

Quality

python-deep has no bugs reported.

Security

python-deep has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

python-deep is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

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

Build file is available. You can build the component from source.

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

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python-deep Key Features

No Key Features are available at this moment for python-deep.

python-deep Examples and Code Snippets

No Code Snippets are available at this moment for python-deep.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install python-deep

You can download it from GitHub.
You can use python-deep 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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