High-performance library for inlining CSS into HTML 'style' attributes
Project description
css_inline
css_inline
is a high-performance library for inlining CSS into HTML 'style' attributes.
This library is designed for scenarios such as preparing HTML emails or embedding HTML into third-party web pages.
For instance, the library transforms HTML like this:
<html>
<head>
<style>h1 { color:blue; }</style>
</head>
<body>
<h1>Big Text</h1>
</body>
</html>
into:
<html>
<head></head>
<body>
<h1 style="color:blue;">Big Text</h1>
</body>
</html>
- Uses reliable components from Mozilla's Servo project
- 10-400x faster than alternatives
- Inlines CSS from
style
andlink
tags - Removes
style
andlink
tags - Resolves external stylesheets (including local files)
- Can process multiple documents in parallel
- Works on Linux, Windows, and macOS
- Supports HTML5 & CSS3
Playground
If you'd like to try css-inline
, you can check the WebAssembly-powered playground to see the results instantly.
Installation
Install with pip
:
pip install css_inline
Pre-compiled wheels are available for most popular platforms. If not available for your platform, a Rust compiler will be needed to build this package from source. Rust version 1.65 or higher is required.
Usage
import css_inline
HTML = """<html>
<head>
<style>h1 { color:blue; }</style>
</head>
<body>
<h1>Big Text</h1>
</body>
</html>"""
inlined = css_inline.inline(HTML)
# HTML becomes this:
#
# <html>
# <head>
# <style>h1 { color:blue; }</style>
# </head>
# <body>
# <h1 style="color:blue;">Big Text</h1>
# </body>
# </html>
When there is a need to inline multiple HTML documents simultaneously, css_inline
offers the inline_many
function.
This feature allows for concurrent processing of several inputs, significantly improving performance when dealing with a large number of documents.
import css_inline
css_inline.inline_many(["<...>", "<...>"])
Under the hood, inline_many
, spawns threads at the Rust layer to handle the parallel processing of inputs.
This results in faster execution times compared to employing parallel processing techniques at the Python level.
Note: To fully benefit from inline_many
, you should run your application on a multicore machine.
Configuration
For configuration options use the CSSInliner
class:
import css_inline
inliner = css_inline.CSSInliner(keep_style_tags=True)
inliner.inline("...")
inline_style_tags
. Specifies whether to inline CSS from "style" tags. Default:True
keep_style_tags
. Specifies whether to keep "style" tags after inlining. Default:False
keep_link_tags
. Specifies whether to keep "link" tags after inlining. Default:False
base_url
. The base URL used to resolve relative URLs. If you'd like to load stylesheets from your filesystem, use thefile://
scheme. Default:None
load_remote_stylesheets
. Specifies whether remote stylesheets should be loaded. Default:True
extra_css
. Extra CSS to be inlined. Default:None
preallocate_node_capacity
. Advanced. Preallocates capacity for HTML nodes during parsing. This can improve performance when you have an estimate of the number of nodes in your HTML document. Default:32
You can also skip CSS inlining for an HTML tag by adding the data-css-inline="ignore"
attribute to it:
<head>
<style>h1 { color:blue; }</style>
</head>
<body>
<!-- The tag below won't receive additional styles -->
<h1 data-css-inline="ignore">Big Text</h1>
</body>
The data-css-inline="ignore"
attribute also allows you to skip link
and style
tags:
<head>
<!-- Styles below are ignored -->
<style data-css-inline="ignore">h1 { color:blue; }</style>
</head>
<body>
<h1>Big Text</h1>
</body>
If you'd like to load stylesheets from your filesystem, use the file://
scheme:
import css_inline
# styles/email is relative to the current directory
inliner = css_inline.CSSInliner(base_url="file://styles/email/")
inliner.inline("...")
XHTML compatibility
If you'd like to work around some XHTML compatibility issues like closing empty tags (<hr>
vs. <hr/>
), you can use the following snippet that involves lxml
:
import css_inline
from lxml import html, etree
document = "..." # Your HTML document
inlined = css_inline.inline(document)
tree = html.fromstring(inlined)
inlined = etree.tostring(tree).decode(encoding="utf-8")
Performance
css-inline
is powered by efficient tooling from Mozilla's Servo project and significantly outperforms other Python alternatives in terms of speed.
Most of the time it achieves over a 10x speed advantage compared to the next fastest alternative.
Here is the performance comparison:
Size | css_inline 0.11.2 |
premailer 3.10.0 |
toronado 0.1.0 |
inlinestyler 0.2.5 |
pynliner 0.8.0 |
|
---|---|---|---|---|---|---|
Basic | 230 B | 6.75 µs | 131.50 µs (19.48x) | 666.20 µs (98.70x) | 1.05 ms (155.82x) | 1.20 ms (178.63x) |
Realistic-1 | 8.58 KB | 138.79 µs | 1.43 ms (10.34x) | 16.52 ms (119.07x) | 27.59 ms (198.85x) | 51.74 ms (372.84x) |
Realistic-2 | 4.3 KB | 86.95 µs | 2.69 ms (31.03x) | ERROR | 18.06 ms (207.76x) | ERROR |
GitHub page | 1.81 MB | 338.88 ms | 25.58 s (75.49x) | ERROR | ERROR | ERROR |
The "Basic" case was obtained from benchmarking the example from the Usage section.
Note that the toronado
, inlinestyler
and pynliner
libraries both encountered errors when used to inline CSS in the last scenario.
The benchmarking code is available in the benches/bench.py
file. The benchmarks were conducted using the stable rustc 1.74.1
on Python 3.11.6
.
Comparison with other libraries
Besides performance, css-inline
differs from other Python libraries for CSS inlining.
- Generally supports more CSS features than other libraries (for example,
toronado
andpynliner
do not support pseudo-elements); - It has fewer configuration options and not as flexible as
premailer
; - Works on fewer platforms than LXML-based libraries (
premailer
,inlinestyler
,toronado
, and optionallypynliner
); - Does not have debug logs yet;
- Supports only HTML 5.
Python support
css_inline
supports CPython 3.7, 3.8, 3.9, 3.10, 3.11, 3.12 and PyPy 3.7, 3.8, 3.9, 3.10.
Further reading
If you want to know how this library was created & how it works internally, you could take a look at these articles:
License
This project is licensed under the terms of the MIT license.
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