latex2mathml | Pure Python library for LaTeX to MathML conversion | Math library

by roniemartinez Python Version: 3.77.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | latex2mathml Summary

latex2mathml is a Python library typically used in Utilities, Math, Latex applications. latex2mathml has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However latex2mathml build file is not available. You can install using 'pip install latex2mathml' or download it from GitHub, PyPI.

Pure Python library for LaTeX to MathML conversion.

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Quality

Security

License

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Support

latex2mathml has a low active ecosystem.

It has 126 star(s) with 18 fork(s). There are 6 watchers for this library.

There were 1 major release(s) in the last 12 months.

There are 2 open issues and 80 have been closed. On average issues are closed in 23 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of latex2mathml is 3.77.0

Quality

latex2mathml has 0 bugs and 15 code smells.

Security

latex2mathml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

latex2mathml code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

latex2mathml 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

latex2mathml releases are available to install and integrate.

Deployable package is available in PyPI.

latex2mathml has no build file. You will be need to create the build yourself to build the component from source.

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

latex2mathml saves you 1376 person hours of effort in developing the same functionality from scratch.

It has 7966 lines of code, 34 functions and 14 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed latex2mathml and discovered the below as its top functions. This is intended to give you an instant insight into latex2mathml implemented functionality, and help decide if they suit your requirements.

Convert latex
Convert a command node
Convert the given command to the parent element
Convert a symbol into a symbol
Adds a diacritic element
Set the mathvariant font
Set cell alignment
Get column alignment
Splits text into modes and modes
Return alignment and column lines
Appends prefix element
Recursively convert a group of nodes
Appends a postfix element
Tokenize a latex string
Parse the latex file
Convert a matplotlib matrix element
Convert a symbol node
Make a matrix cell

Get all kandi verified functions for this library.

latex2mathml Key Features

No Key Features are available at this moment for latex2mathml.

latex2mathml Examples and Code Snippets

No Code Snippets are available at this moment for latex2mathml.

Community Discussions

Trending Discussions on latex2mathml

Converting Latex to MathML in HTML

QUESTION

Converting Latex to MathML in HTML

Asked 2018-Jan-09 at 20:55

I'm trying to convert latex code embedded in an HTML document (Intended to be used with a Javascript shim) into MathML. Pandoc seems like a great tool. Following this example: http://pandoc.org/demos.html,

...

ANSWER

Answered 2018-Jan-09 at 20:55

You'll need the --mathml flag (not the --latexmathml flag) to generate MathML and the tex_math_dollars extension enabled for reading the math between dollar signs:

Source https://stackoverflow.com/questions/41516510

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

Vulnerabilities

No vulnerabilities reported

Install latex2mathml

You can install using 'pip install latex2mathml' or download it from GitHub, PyPI.
You can use latex2mathml 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.