pybluemonday

PyPI

pybluemonday is a library for sanitizing HTML very quickly via bluemonday.

pybluemonday takes untrusted user generated content as an input, and will return HTML that has been sanitised against a whitelist of approved HTML elements and attributes so that you can safely include the content in your web page.

Note: This library is in a useable state but is still experimental. It may not have feature parity with the actual bluemonday and is likely to sanitize HTML slightly differently than other libraries. PRs and feedback are welcome on improving this library.

Installation

pip install pybluemonday

Examples

from pybluemonday import UGCPolicy
s = UGCPolicy()

print(s.sanitize("<script>alert(1)</script><b class='stuff'>testing</b>"))
# <b>testing</b>

s.AllowAttrs("class", "style").Globally()
print(s.sanitize("<script>alert(1)</script><b class='stuff' style='color: red;'>testing</b>"))
# <b class="stuff" style="color: red;">testing</b>

from pybluemonday import StrictPolicy
s = StrictPolicy()

s.sanitize("<center><b>Blog Post Title</b></center>")
# Blog Post Title

How does this work?

pybluemonday is a binding to bluemonday through a shared library built through cgo. However, instead of replicating the entire API, pybluemonday uses reflection on the Go side and some type checking on the Python side to call the right bluemonday function when you try to call a method.

Essentially you want to create a Policy with the provided pybluemonday.UGCPolicy, pybluemonday.StrictPolicy, and pybluemonday.NewPolicy classes and then call methods that map to the appropriate bluemonday struct method.

This is an open area of improvement but gets reasonable coverage of the original bluemonday interface.

Also because it's difficult to share Go structs over to Python, pybluemonday keeps an ID reference to the struct in the Go side and passes the reference for every Go call. This means that if you corrupt or change the ID for some nonsensical reason you may likely end up with a memory leak. This is also an open area of improvement.

Performance

Most Python based HTML sanitizing libraries will need to rely on html5lib for parsing HTML in a reasoanble way. Because of this you will likely see performance hits when using these libraries.

Since pybluemonday is just bindings for bluemonday it has very good performance because all parsing and processing is done in Go by bluemonday. Go also ships an HTML5 parser which means we avoid html5lib but still process HTML pretty well.

Always take benchmarks with a grain of salt but when compared to other similar Python sanitizing libraries pybluemonday executes far faster:

❯ python benchmarks.py
bleach (20000 sanitizations): 37.613802053
html_sanitizer (20000 sanitizations): 17.645683948
lxml Cleaner (20000 sanitizations): 10.500760227999997
pybluemonday (20000 sanitizations): 0.6188559669999876

Benchmarks taken on a MacBook Pro 15-inch, 2016 (2.7 GHz Intel Core i7, 16 GB RAM)

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for kchung from gravatar.com kchung

Credits

Author: Kevin Chung

License

MIT License

Requires

Python >=3.7

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for kchung from gravatar.com kchung

Credits

Author: Kevin Chung

License

MIT License

Requires

Python >=3.7

Classifiers

Report project as malware

Release files for pybluemonday 0.0.14

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

Source distribution (sdist)

Source distribution for pybluemonday 0.0.14
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pybluemonday-0.0.14.tar.gz 9.6 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for pybluemonday 0.0.14
File
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pybluemonday-0.0.14-pp310-pypy310_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.3 MB PyPy 3.10 PyPy 3.10 7.3 Linux glibc 2.17+ x86-64, Linux glibc 2.5+ x86-64 Details
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pybluemonday-0.0.14-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.3 MB PyPy 3.7 PyPy 3.7 7.3 Linux glibc 2.17+ x86-64, Linux glibc 2.5+ x86-64 Details
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pybluemonday-0.0.14-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.3 MB CPython 3.11 CPython 3.11 Linux glibc 2.5+ x86-64, Linux glibc 2.17+ x86-64 Details
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pybluemonday-0.0.14-cp310-cp310-musllinux_1_2_i686.whl 1.3 MB CPython 3.10 CPython 3.10 Linux musl 1.2+ x86-32 Details
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pybluemonday-0.0.14-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.3 MB CPython 3.10 CPython 3.10 Linux glibc 2.5+ x86-64, Linux glibc 2.17+ x86-64 Details
pybluemonday-0.0.14-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 1.3 MB CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-32, Linux glibc 2.5+ x86-32 Details
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pybluemonday-0.0.14-cp310-cp310-macosx_10_9_x86_64.whl 1.3 MB CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
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pybluemonday-0.0.14-cp39-cp39-musllinux_1_2_x86_64.whl 1.3 MB CPython 3.9 CPython 3.9 Linux musl 1.2+ x86-64 Details
pybluemonday-0.0.14-cp39-cp39-musllinux_1_2_i686.whl 1.3 MB CPython 3.9 CPython 3.9 Linux musl 1.2+ x86-32 Details
pybluemonday-0.0.14-cp39-cp39-musllinux_1_2_aarch64.whl 1.2 MB CPython 3.9 CPython 3.9 Linux musl 1.2+ ARM64 Details
pybluemonday-0.0.14-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.2 MB CPython 3.9 CPython 3.9 Linux glibc 2.17+ ARM64 Details
pybluemonday-0.0.14-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.3 MB CPython 3.9 CPython 3.9 Linux glibc 2.5+ x86-64, Linux glibc 2.17+ x86-64 Details
pybluemonday-0.0.14-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 1.3 MB CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-32, Linux glibc 2.5+ x86-32 Details
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pybluemonday-0.0.14-cp39-cp39-macosx_10_9_x86_64.whl 1.3 MB CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
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pybluemonday-0.0.14-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.2 MB CPython 3.8 CPython 3.8 Linux glibc 2.17+ ARM64 Details
pybluemonday-0.0.14-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.3 MB CPython 3.8 CPython 3.8 Linux glibc 2.5+ x86-64, Linux glibc 2.17+ x86-64 Details
pybluemonday-0.0.14-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 1.3 MB CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-32, Linux glibc 2.5+ x86-32 Details
pybluemonday-0.0.14-cp38-cp38-macosx_11_0_arm64.whl 1.2 MB CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
pybluemonday-0.0.14-cp38-cp38-macosx_10_9_x86_64.whl 1.3 MB CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
pybluemonday-0.0.14-cp37-cp37m-win_amd64.whl 1.2 MB CPython 3.7 CPython 3.7 pymalloc Windows x86-64 Details
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pybluemonday-0.0.14-cp37-cp37m-musllinux_1_2_i686.whl 1.3 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.2+ x86-32 Details
pybluemonday-0.0.14-cp37-cp37m-musllinux_1_2_aarch64.whl 1.2 MB CPython 3.7 CPython 3.7 pymalloc Linux musl 1.2+ ARM64 Details
pybluemonday-0.0.14-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 1.2 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ ARM64 Details
pybluemonday-0.0.14-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1.3 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64, Linux glibc 2.5+ x86-64 Details
pybluemonday-0.0.14-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl 1.3 MB CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-32, Linux glibc 2.17+ x86-32 Details
pybluemonday-0.0.14-cp37-cp37m-macosx_10_9_x86_64.whl 1.3 MB CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details

Total release size: 102.2 MB

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