md2p | markdown rendering library based on python PIL

by sena-nana Python Version: Current License: MIT

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

kandi X-RAY | md2p Summary

md2p is a Python library. md2p has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However md2p build file is not available. You can download it from GitHub.

A markdown rendering library based on python PIL with CJK typesetting support，一个基于PIL的python markdown渲染库，自带中文排版

Support

Quality

Security

License

Reuse

Support

md2p has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

md2p has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of md2p is current.

Quality

md2p has no bugs reported.

Security

md2p has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

md2p 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

md2p releases are not available. You will need to build from source code and install.

md2p has no build file. You will be need to create the build yourself to build the component from source.

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md2p Key Features

No Key Features are available at this moment for md2p.

md2p Examples and Code Snippets

No Code Snippets are available at this moment for md2p.

Community Discussions

No Community Discussions are available at this moment for md2p.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install md2p

You can download it from GitHub.
You can use md2p 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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