dataclasses-dict | Easily convert dataclasses to and from dicts

by lidatong Python Version: 0.0.1 License: No License

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

kandi X-RAY | dataclasses-dict Summary

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

Easily convert dataclasses to and from dicts

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dataclasses-dict 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 12 months.

dataclasses-dict has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dataclasses-dict is 0.0.1

Quality

dataclasses-dict has no bugs reported.

Security

dataclasses-dict has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dataclasses-dict does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Deployable package is available in PyPI.

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

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dataclasses-dict Key Features

No Key Features are available at this moment for dataclasses-dict.

dataclasses-dict Examples and Code Snippets

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Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install dataclasses-dict

You can install using 'pip install dataclasses-dict' or download it from GitHub, PyPI.
You can use dataclasses-dict 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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