Python

fastpylight is a community-maintained Python runtime from Answer.AI. It has its own API and releases.

Installation

Requires Python 3.10 or later.

pip install fastpylight

HTML with spans

highlight_spans returns a <pre><code> block with a class on each token. Include the CSS returned by theme_css in your page to apply the theme.

from fastpylight import highlight_spans, theme_css

code = "def greet(name):\n    return f'Hello, {name}'\n"
html = highlight_spans(code, "python")
css = theme_css("github_light", "pre code")

Languages and themes

Call languages() and themes() to list what's available in your installed version. guess accepts source code and an optional language name, extension, or filename.

from fastpylight import guess, languages, themes, highlight_spans

language = guess("print('hello')", "example.py")
html = highlight_spans("print('hello')", language)
available_languages = languages()
available_themes = themes()

The highlighting functions require an exact language name. An unknown name raises ValueError; use "plaintext" for unhighlighted output.

Other output options

• highlight returns a <hl-code> element that uses the browser's CSS Custom Highlight API. This output needs the JavaScript returned by component_js() and the appropriate theme CSS.
• tokenize provides token data for custom rendering.
• theme_colors provides theme styles as Python data, useful for highlighting code in Word documents.

See the fastpylight README for supported features and complete examples. The formatter classes and parser-package installation instructions elsewhere in these docs are for the first-party runtimes.