Python Mistune

Posted on  by admin

Conda create -n tensorflow python=3.5 (Use this command even if you are using python 3.6 because TensorFlow will get upgraded in the following steps) Activate the conda environment by issuing the following command: activate tensorflow After this step, the command prompt will change to (tensorflow).

  1. Python markdown - 30 examples found. These are the top rated real world Python examples of mistune.markdown extracted from open source projects. You can rate examples to help us improve the quality.
  2. The PyPI package mistune receives a total of 3,668,550 downloads a week. As such, we scored mistune popularity level to be Key ecosystem project. Based on project statistics from the GitHub repository for the PyPI package mistune, we found that it has been starred 1,924 times, and that 0 other projects in the ecosystem are dependent on it.
  3. News and feature lists of Linux and BSD distributions.

mistletoe is a Markdown parser in pure Python,designed to be fast, spec-compliant and fully customizable.

Apart from being the fastestCommonMark-compliant Markdown parser implementation in pure Python,mistletoe also supports easy definitions of custom tokens.Parsing Markdown into an abstract syntax treealso allows us to swap out renderers for different output formats,without touching any of the core components.

Remember to spell mistletoe in lowercase!

Python Mistune


  • Fast:mistletoe is the fastest implementation of CommonMark in Python,that is, 2 to 3 times as fast as Commonmark-py,and still roughly 30% faster than Python-Markdown.Running with PyPy yields comparable performance with mistune.

    See the performance section for details.

  • Spec-compliant:CommonMark is a useful, high-quality project.mistletoe follows the CommonMark specificationto resolve ambiguities during parsing.Outputs are predictable and well-defined.

  • Extensible:Strikethrough and tables are supported natively,and custom block-level and span-level tokens can easily be added.Writing a new renderer for mistletoe is a relativelytrivial task.

    You can even write a Lisp in it.

Some alternative output formats:

  • HTML
  • LaTeX
  • Jira Markdown (contrib)
  • Mathjax (contrib)
  • Scheme (contrib)
  • HTML + code highlighting (contrib)


mistletoe is tested for Python 3.3 and above. Install mistletoe with pip:

Alternatively, clone the repo:

See the contributing doc for how to contribute to mistletoe.

Mistune Python Docs


Basic usage

Here's how you can use mistletoe in a Python script:

mistletoe.markdown() uses mistletoe's default settings: allowing HTML mixinsand rendering to HTML. The function also accepts an additional argumentrenderer. To produce LaTeX output:

Finally, here's how you would manually specify extra tokens and a rendererfor mistletoe. In the following example, we use HTMLRenderer to renderthe AST, which adds HTMLBlock and HTMLSpan to the normal parsingprocess.

From the command-line

pip installation enables mistletoe's command-line utility. Type the followingdirectly into your shell:

This will transpile into HTML, and dump the output to stdout. To savethe HTML, direct the output into a file:

You can pass in custom renderers by including the full path to your rendererclass after a -r or --renderer flag:


Running mistletoe without specifying a file will land you in interactivemode. Like Python's REPL, interactive mode allows you to test how yourMarkdown will be interpreted by mistletoe:

The interactive mode also accepts the --renderer flag:


mistletoe is the fastest CommonMark compliant implementation in Python.Try the benchmarks yourself by running:

We notice that Mistune is the fastest Markdown parser,and by a good margin, which demands some explanation.mistletoe's biggest performance penaltycomes from stringently following the CommonMark spec,which outlines a highly context-sensitive grammar for Markdown.Mistune takes a simpler approach to the lexing and parsing process,but this means that it cannot handle more complex cases,e.g., precedence of different types of tokens, escaping rules, etc.

To see why this might be important to you,consider the following Markdown input(example 392 from the CommonMark spec):

The natural interpretation is:

... and it is indeed the output of Python-Markdown, Commonmark-py and mistletoe.Mistune (version 0.8.3) greedily parses the first two asterisksin the first delimiter run as a strong-emphasis opener,the second delimiter run as its closer,but does not know what to do with the remaining asterisk in between:

The implication of this runs deeper,and it is not simply a matter of dogmatically following an external spec.By adopting a more flexible parsing algorithm,mistletoe allows us to specify a precedence level to each token class,including custom ones that you might write in the future.Code spans, for example, has a higher precedence level than emphasis,so

... is parsed as:

... whereas Mistune parses this as:

Of course, it is not impossible for Mistune to modify its behavior,and parse these two examples correctly,through more sophisticated regexes or some other means.It is nevertheless highly likely that,when Mistune implements all the necessary context checks,it will suffer from the same performance penalties.

Contextual analysis is why Python-Markdown is slow, and why CommonMark-py is slower.The lack thereof is the reason mistune enjoys stellar performanceamong similar parser implementations,as well as the limitations that come with these performance benefits.

If you want an implementation that focuses on raw speed,mistune remains a solid choice.If you need a spec-compliant and readily extensible implementation, however,mistletoe is still marginally faster than Python-Markdown,while supporting more functionality (lists in block quotes, for example),and significantly faster than CommonMark-py.

One last note: another bottleneck of mistletoe compared to mistuneis the function overhead. Because, unlike mistune, mistletoe chooses to splitfunctionality into modules, function lookups can take significantly longer thanmistune. To boost the performance further, it is suggested to use PyPy with mistletoe.Benchmark results show that on PyPy, mistletoe's performance is on par with mistune:

Developer's Guide

Here's an example to add GitHub-style wiki links to the parsing process,and provide a renderer for this new token.

A new token

GitHub wiki links are span-level tokens, meaning that they reside inline,and don't really look like chunky paragraphs. To write a new span-leveltoken, all we need to do is make a subclass of SpanToken:

mistletoe uses regular expressions to search for span-level tokens in theparsing process. As a refresher, GitHub wiki looks something like this:[[alternative text target]]. We define a class variable, pattern,that stores the compiled regex:

The regex will be picked up by SpanToken.find, which is used by thetokenizer to find all tokens of its kind in the document.If regexes are too limited for your use case, consider overridingthe find method; it should return a list of all token occurrences.

Three other class variables are available for our custom token class,and their default values are shown below:

Note that alternative text can also contain other span-level tokens. Forexample, [[*alt* link]] is a GitHub link with an Emphasis token as itschild. To parse child tokens, parse_inner should be set to True(the default value in this case), and parse_group should correspondto the match group in which child tokens might occur(also the default value, 1, in this case).

Once these two class variables are set correctly,GitHubWiki.children attribute will automatically be set tothe list of child tokens.Note that there is no need to manually set this attribute,unlike previous versions of mistletoe.

Lastly, the SpanToken constructors take a regex match object as its argument.We can simply store off the target attribute from

There you go: a new token in 5 lines of code.

Side note about precedence

Normally there is no need to override the precedence value of a custom token.The default value is the same as InlineCode, AutoLink and HTMLSpan,which means that whichever token comes first will be parsed. In our case:


... will be parsed as:

If we set GitHubWiki.precedence = 6, we have:

A new renderer

Adding a custom token to the parsing process usually involves a lotof nasty implementation details. Fortunately, mistletoe takes careof most of them for you. Simply pass your custom token class tosuper().__init__() does the trick:

We then only need to tell mistletoe how to render our new token:

Cleaning up, we have our new renderer class:

Take it for a spin?

It is preferred that all mistletoe's renderers be used as context managers.This is to ensure that your custom tokens are cleaned up properly, so thatyou can parse other Markdown documents with different token types in thesame program.

For more info, take a look at the base_renderer module in mistletoe.The docstrings might give you a more granular idea of customizing mistletoeto your needs.

Why mistletoe?

'For fun,' says David Beazley.

Copyright & License

  • mistletoe's logo uses artwork by Freepik, underCC BY 3.0.
  • mistletoe is released under MIT.
s0md3v / Photon — Incredibly fast crawler which extracts urls, emails, files, website accounts and much more.
donnemartin / system-design-primer — Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
chubin / — the only cheat sheet you need
mkaz / termgraph — a python command-line tool which draws basic graphs in the terminal
tensorflow / models — Models and examples built with TensorFlow
colental / byob — BYOB (Build Your Own Botnet)
instacart / lore — Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
vinta / awesome-python — A curated list of awesome Python frameworks, libraries, software and resources
wannabeOG / Mask-RCNN — A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
toddmotto / public-apis — A collective list of public JSON APIs for use in web development.
MarkPKCollier / NeuralTuringMachine — Tensorflow implementation of a Neural Turing Machine
keras-team / keras — Deep Learning for humans
rg3 / youtube-dl — Command-line program to download videos from and other video sites
zulip / zulip — Zulip server - powerful open source team chat
Nekmo / dirhunt — Find web directories without bruteforce
ansible / ansible — Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications — automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.
python / cpython — The Python programming language
nbedos / termtosvg — Record terminal sessions as SVG animations
pallets / flask — The Python micro framework for building web applications.
pypa / pipenv — Python Development Workflow for Humans.
XX-net / XX-Net — a web proxy tool
salesforce / decaNLP — The Natural Language Decathlon: A Multitask Challenge for NLP
tristandeleu / pytorch-maml-rl — Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch