Skip to main content

Build Status PyPI version Code Coverage Maintainability Rating Security Rating

Wenmode is a composable Markdown toolkit for Python by the same author as Mistune. It is a rewrite informed by Mistune’s design, with a stronger focus on explicit rule composition, mdast-compatible AST output, extension state, and pluggable rendering.

The top-level Wenmode class combines a parser and a renderer. By default, Wenmode parses CommonMark-style Markdown and renders HTML.

Documentation: https://wenmode.lepture.com

Use Wenmode to:

  • render Markdown to HTML with safe defaults for user-authored content,

  • choose the exact Markdown rules your application accepts,

  • inspect or store an mdast-compatible AST,

  • build a custom Markdown dialect with parser rules and renderer handlers,

  • stream HTML output from Markdown input.

Installation

pip install wenmode

Run the CLI without installing it permanently:

uvx wenmode render --preset=github README.md
uvx wenmode ast --preset=github README.md

After installation, use either the console script or Python module entry point:

wenmode render README.md --preset=github
python -m wenmode ast README.md --positions

Quick start

from wenmode import Wenmode

wen = Wenmode()

text = '''
# Hello

This is **wenmode**.
'''
expected = '''
<h1>Hello</h1>
<p>This is <strong>wenmode</strong>.</p>
'''

html = wen.render(text)
assert html == expected.lstrip()

Use parse() when you need the mdast-compatible syntax tree:

from wenmode import Wenmode

wen = Wenmode()
text = 'A [link](https://example.com).'

tree = wen.parse(text)
ast = tree.to_ast()

assert ast == {
    'type': 'root',
    'children': [
        {
            'type': 'paragraph',
            'children': [
                {'type': 'text', 'value': 'A '},
                {
                    'type': 'link',
                    'children': [{'type': 'text', 'value': 'link'}],
                    'url': 'https://example.com',
                },
                {'type': 'text', 'value': '.'},
            ],
        }
    ],
}

Set positions=True to include source ranges for editor integration, diagnostics, or AST-based tooling:

from wenmode import Wenmode

wen = Wenmode(positions=True)
ast = wen.parse('A **bold**.\n').to_ast()

assert ast['children'][0] == {
    'type': 'paragraph',
    'position': {
        'start': {'line': 1, 'column': 1, 'offset': 0},
        'end': {'line': 2, 'column': 1, 'offset': 12}
    },
    'children': [
        {
            'type': 'text',
            'position': {
                'start': {'line': 1, 'column': 1, 'offset': 0},
                'end': {'line': 1, 'column': 3, 'offset': 2}
            },
            'value': 'A '
        },
        {
            'type': 'strong',
            'position': {
                'start': {'line': 1, 'column': 3, 'offset': 2},
                'end': {'line': 1, 'column': 11, 'offset': 10}
            },
            'children': [
                {
                    'type': 'text',
                    'position': {
                        'start': {'line': 1, 'column': 5, 'offset': 4},
                        'end': {'line': 1, 'column': 9, 'offset': 8}
                    },
                    'value': 'bold'
                }
            ]
        },
        {
            'type': 'text',
            'position': {
                'start': {'line': 1, 'column': 11, 'offset': 10},
                'end': {'line': 1, 'column': 12, 'offset': 11}
            },
            'value': '.'
        }
    ]
}

Pass a renderer when you need reStructuredText or AsciiDoc output:

from wenmode import AsciiDocRenderer, Wenmode

wen = Wenmode(renderer=AsciiDocRenderer())

text = '# Hello'
expected = '= Hello\n'

asciidoc = wen.render(text)
assert asciidoc == expected

Rules, presets, and plugins

Most applications start with a preset:

  • commonmark, the default CommonMark-style rule set,

  • github, for GitHub-flavored Markdown features such as tables and task lists,

  • streaming, for incremental HTML output.

Rules are opt-in and composable. Wenmode() uses the commonmark preset by default. Pass an explicit rule list to define a custom Markdown dialect.

from wenmode import Wenmode
from wenmode.rules import AtxHeading, FencedCode, Image, InlineCode, Link

wen = Wenmode([AtxHeading, FencedCode, Link, Image, InlineCode])
text = '''
# h1

hi `code` **strong**
'''
expected = '''
<h1>h1</h1>
<p>hi <code>code</code> **strong**</p>
'''

assert wen.render(text) == expected.lstrip()

Because Emphasis is not enabled above, **strong** stays as text.

Use Parser directly when you only need an AST and want to choose rendering separately:

from wenmode import HTMLRenderer, Parser
from wenmode.presets import commonmark

parser = Parser(commonmark)
text = '# Hello'

tree = parser.parse(text)

html = HTMLRenderer().render(tree)

Use the github preset for GitHub-flavored Markdown features such as tables, task lists, strikethrough, extended autolinks, and footnotes:

from wenmode import Wenmode
from wenmode.presets import github

wen = Wenmode(github)

Use built-in plugins for non-standard syntax, document metadata, and rendering behavior such as front matter, math, definition lists, abbreviations, spoilers, ruby text, HTML smart punctuation, and extra inline formatting:

from wenmode import Wenmode
from wenmode.plugins import inline_math

wen = Wenmode(plugins=[inline_math])

assert wen.render('Inline $x + y$.\n') == (
    '<p>Inline <span class="math math-inline">x + y</span>.</p>\n'
)

Benchmark

Wenmode is designed so enabling more rules adds limited dispatch overhead. The benchmark script compares Markdown-to-HTML throughput across Wenmode and the libraries covered by the migration guides:

uv run --locked --group benchmark python scripts/benchmark.py --case all

wenmode-core uses CommonMark-style rules plus pipe tables. It disables raw HTML passthrough and URL sanitization to match the other HTML renderers. Mistune, Python-Markdown, markdown-it-py, and markdown2 enable table support. Marko uses its broader GFM helper. commonmark.py is a CommonMark-only baseline because it does not support pipe tables.

wenmode-all uses the github preset plus Wenmode’s built-in plugins, including front matter, math, definition lists, abbreviations, spoilers, ruby text, heading IDs, GitHub alerts, and additional inline formatting. The benchmark corpora use few of these extra rules. This target measures rule dispatch overhead, not equivalent syntax coverage.

All benchmark targets are created once before warmup and timed iterations, then reused for every render call. Python-Markdown resets the same reusable Markdown instance before each conversion.

Versions used in these snapshots:

Library

Version

wenmode

0.14.0

mistune

3.3.4

mistletoe

1.6.0

python-markdown

3.10.2

markdown-it-py

4.2.0

markdown2

2.5.5

marko

2.2.3

commonmark.py

0.9.2

Mean time from one local Python 3.12.9 --case all run:

Case

Bytes

Library

Mean

MB/s

vs core

docs

138,514

wenmode-core

21.05ms

6.91

1.00x

docs

138,514

wenmode-all

24.74ms

5.81

0.85x

docs

138,514

mistune

25.26ms

5.54

0.83x

docs

138,514

mistletoe

53.46ms

2.60

0.39x

docs

138,514

python-markdown

78.48ms

1.84

0.27x

docs

138,514

markdown-it-py

42.04ms

3.44

0.50x

docs

138,514

markdown2

181.37ms

0.78

0.12x

docs

138,514

marko

173.29ms

0.87

0.12x

docs

138,514

commonmark.py

115.60ms

1.39

0.18x

rust-book

1,226,057

wenmode-core

168.42ms

7.54

1.00x

rust-book

1,226,057

wenmode-all

187.55ms

6.72

0.90x

rust-book

1,226,057

mistune

224.58ms

5.60

0.75x

rust-book

1,226,057

mistletoe

468.09ms

2.63

0.36x

rust-book

1,226,057

python-markdown

588.85ms

2.10

0.29x

rust-book

1,226,057

markdown-it-py

337.24ms

3.71

0.50x

rust-book

1,226,057

markdown2

4.117s

0.30

0.04x

rust-book

1,226,057

marko

1.092s

1.12

0.15x

rust-book

1,226,057

commonmark.py

9.831s

0.13

0.02x

progit

502,090

wenmode-core

29.05ms

17.30

1.00x

progit

502,090

wenmode-all

38.04ms

14.70

0.76x

progit

502,090

mistune

46.85ms

11.87

0.62x

progit

502,090

mistletoe

147.81ms

3.53

0.20x

progit

502,090

python-markdown

139.58ms

3.73

0.21x

progit

502,090

markdown-it-py

74.58ms

7.73

0.39x

progit

502,090

markdown2

1.452s

0.35

0.02x

progit

502,090

marko

331.42ms

1.54

0.09x

progit

502,090

commonmark.py

338.07ms

1.61

0.09x

In this run, wenmode-all remains faster than the other parsers even after loading many extra rules that the benchmark inputs mostly do not use.

Benchmark numbers depend on hardware, Python version, corpus, and parser configuration. See the full methodology in the Benchmarks documentation.

Streaming

Use the streaming preset to render HTML chunks before the complete document is parsed and rendered:

from wenmode import Wenmode
from wenmode.presets import streaming

wen = Wenmode(streaming)

text = '''
# Hello

A [link](/url).
'''

for chunk in wen.stream(text):
    send(chunk)

Pass the returned iterator to a streaming response in Django, Flask, FastAPI, or another framework. The streaming preset keeps tables, strikethrough, direct links, and direct images enabled. It excludes reference-style links, footnotes, and other deferred document-wide transforms.

Learn more

Release files for wenmode 0.14.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for wenmode 0.14.0
File Size Uploaded
wenmode-0.14.0.tar.gz 90.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for wenmode 0.14.0
File Interpreter ABI Platform
wenmode-0.14.0-py3-none-any.whl Python 3 none any Details

Total release size: 228.3 kB

Release files / wenmode-0.14.0.tar.gz

Download URL wenmode-0.14.0.tar.gz
Size 90.9 kB
Tags Source
SHA-256 checksum
How to use checksums
fa5d1383099b32bcbc0b475646d3409d9355cbf156dae4eeef22478cb9ddb107
BLAKE2b-256 checksum
How to use checksums
e85b7cdd0745788bdadbe4e4d911db9b13ebb659077253652401407d0b1cea4b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 20, 2026.

Transparency log

Release files / wenmode-0.14.0-py3-none-any.whl

Download URL wenmode-0.14.0-py3-none-any.whl
Size 137.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0ee4f092984ba3e4ef96115d25f6689f404b0a2f0f1d72dc3df4be1d0d4d5ad0
BLAKE2b-256 checksum
How to use checksums
b10409714a6ff24eb693a7f742204e4355c6d03ae7fb328201104cdd39d12f3e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 20, 2026.

Transparency log

Release history Release notifications | RSS feed

0.15.1

2 release files

0.15.0

2 release files

0.14.1

2 release files

This release

0.14.0 This release

2 release files

0.13.2

2 release files

0.13.1

2 release files

0.13.0

2 release files

0.12.1

2 release files

0.12.0

2 release files

0.11.1

2 release files

0.11.0

2 release files

0.10.0

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.0

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.0

2 release files

0.4.0

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page