blitz-py

Render HTML/CSS to images from Python — no browser, no GPU, no JavaScript, no network.

Powered by Blitz, DioxusLabs' modular web engine: real CSS via Stylo (Servo/Firefox's style engine), flexbox/grid layout via Taffy, text shaping via Parley, and CPU rasterization via vello_cpu.

A 240×240 widget renders in ~1.5ms warm on an M-series Mac (~40ms for the first render). Output is deterministic and identical across platforms: the Inter font (SIL OFL 1.1) is bundled as the default face, so text renders the same on your laptop and in a fontless Alpine container.

What it looks like

Dashboard rendered from Tailwind v4 CSS: bento grid, SVG donut and sparkline, avatar stack, gradients

240x240 smart display composed from Templates with render_layers, ellipsized title, glow accent Bootstrap 5.3 card with buttons, badge, alert and progress bar

Unedited output: a Tailwind v4 dashboard (render_png — grid, SVG donut + sparkline, gradients), a 240×240 smart display (one render_layers call over four Template cells, ellipsized title, glow accent), and Bootstrap 5.3 components.

Install

pip install blitz-py

Prebuilt wheels (abi3, Python ≥ 3.10): Linux glibc + musl (x86_64, aarch64), macOS (arm64, x86_64), Windows (x64, arm64).

No 32-bit (armv7l) wheels — this is an explicit drop, not an oversight: the rendering stack (anyrender 0.11) does not compile on 32-bit targets, and Home Assistant itself removed 32-bit support as of 2025.12. Frozen 32-bit installs on Pi 2/3 cannot use this package; we'll revisit if the engine gains 32-bit support.

Usage

import blitz_py

png = blitz_py.render_png(
    """
    <style>
      body { margin: 0; background: #000; color: #fff; font-family: sans-serif; }
      .screen { display: flex; flex-direction: column; align-items: center;
                justify-content: center; height: 240px; }
      .temp { font-size: 64px; font-weight: 600; }
      .label { color: #8e8e93; }
    </style>
    <body><div class="screen">
      <div class="temp">21.5&deg;</div>
      <div class="label">Living room</div>
    </div></body>
    """,
    width=240,
    height=240,
)
with open("out.png", "wb") as f:
    f.write(png)

Or get raw pixels for Pillow:

from PIL import Image

w, h, rgba = blitz_py.render_rgba(html, width=240, height=240)
Image.frombytes("RGBA", (w, h), rgba).convert("RGB").save("out.jpg", quality=90)

Animated GIFs

Animated dashboard: radar sweep, equalizer bars, deploy progress, typewriter terminal — pure CSS keyframes

Everything above is Tailwind classes + CSS @keyframes (source): satellites on different orbital periods, a live-scrolling traffic chart (a periodic series drawn two cycles wide, translated one cycle per loop — new data appears to stream in), an indeterminate progress sweep, and a steps()-driven typewriter — 48 frames rendered in ~220ms, seamless 4s loop.

CSS animations are evaluated on a deterministic clock: render_frames renders the document at any list of timestamps (seconds), and Pillow assembles the GIF. Frames after the first reuse the parsed document, so they're fast — ~1ms per 240×240 frame:

fps, seconds = 12, 3.2
gif = blitz_py.render_gif(
    html, width=240, height=240,
    times=[i / fps for i in range(int(fps * seconds))],
)
open("widget.gif", "wb").write(gif)   # ~16KB, encoded natively in ~20ms

Anything @keyframes can express — transforms, opacity, colors — loops perfectly because you control the clock. The encoder uses one shared palette (colors=64 by default), no dithering, and transparency-based inter-frame deltas — the combination that keeps UI-animation GIFs small. Frame delays follow the spacing of times. See examples/animated_widget.py.

Need custom encoding (dithering, APNG/WebP, per-frame palettes)? render_frames returns raw RGBA frames for Pillow/ffmpeg.

Fast repeated renders: `Template`

For dashboards and device widgets that re-render the same document with fresh data, parse once and mutate by element id:

tpl = blitz_py.Template(html, width=240, height=240)
tpl.update(temp="21.5°", hum="48%")       # batch text update, one round-trip, atomic
tpl.set_html("alerts", "".join(f"<li>{a}</li>" for a in alerts))  # re-render a region
tpl.set_style("bar", "width", "62%")
tpl.set_attribute("icon", "src", data_uri)
jpeg = tpl.render_jpeg(quality=90)        # ~0.5ms — straight to the device
gif = tpl.render_gif(times=[i/12 for i in range(38)])  # animated, current data

Templates are safe to share across threads (the document lives on its own worker thread), and renders release the GIL — 4 rendering threads get ~3.5× throughput.

Recipes

OG / social cards — deterministic, ~6ms per 1200×630 card, no Chromium to babysit:

OG card sample

card = blitz_py.render_png(OG_TEMPLATE, width=1200, height=630,
                           css_vars={"title": post.title, "kicker": post.tag})

Email-HTML previews — auto-height gives you the full message at client width:

png = blitz_py.render_png(email_html, width=600)   # height=None → sized to content

Visual snapshot tests — renders are byte-identical across platforms (CI-verified), so hashes are stable:

def test_widget_looks_right():
    png = blitz_py.render_png(widget_html, width=240, height=240)
    assert hashlib.sha256(png).hexdigest() == "9d62e494..."  # exact, on every OS

Device dashboards (the original use case) — Template + render_jpeg/render_gif for sub-millisecond updates pushed to small displays.

API

Six functions and a class, same keyword arguments:

render_png(html, *, width, height=None, ...) -> bytes       # PNG; height=None → content height
render_jpeg(html, *, width, height=None, quality=90, ...) -> bytes  # JPEG (opaque background)
render_rgba(html, *, width, height=None, ...) -> (w, h, bytes)   # raw RGBA pixels
render_frames(html, *, width, height, times, ...) -> (w, h, [bytes, ...])  # animation frames
render_gif(html, *, width, height, times, colors=64, ...) -> bytes  # looping GIF, native encoder
Template(html, *, width, height, ...)                       # parse once, re-render fast

Template methods: set_text(id, text) · update(**id_to_text) (batch, atomic) · set_html(id, fragment) (replace a region, new ids indexed) · set_style(id, prop, value) · set_attribute(id, name, value) · render_png/jpeg/rgba(time=...) · render_frames(times=...) · render_gif(times=..., colors=...)

Layered compositing

render_layers composites several documents and/or Templates into one surface in a single call — positions, paint order, alpha, and clipping handled in Rust, with native PNG/JPEG output. Per-layer blur and tint unlock effects the engine can't do in CSS, like text glow:

neon text glow via blurred tinted layers

frame = blitz_py.render_layers_jpeg(
    [
        {"html": backdrop_html, "width": 240, "height": 240},
        {"template": clock_cell, "x": 8,   "y": 8},     # Templates re-render in ~0.4ms
        {"template": temp_cell,  "x": 124, "y": 8},
        {"html": glow_html, "width": 240, "height": 240, "blur": 8, "tint": "#00d9ff"},
        {"html": glow_html, "width": 240, "height": 240},   # sharp pass on top
    ],
    width=240, height=240, background="#000000", quality=90,
)

Layers paint in list order (explicit z-order) and are clipped to their rects — a whole multi-widget display becomes one call.

Layout introspection

Ask the engine where things actually landed instead of mirroring CSS math in Python:

tpl.get_box("forecast")   # -> (x, y, width, height) in CSS px, post-layout
tpl.boxes()               # -> {id: rect} for every element with an id

Text utilities

Ellipsis, clamping, fitting and balancing — computed with the renderer's own shaper so they're exact:

blitz_py.ellipsize(title, max_width=120, font_size=14)          # "Living room te…"
blitz_py.line_clamp(desc, max_width=200, max_lines=2, font_size=13)
blitz_py.fit_font_size("23.5°C", max_width=180, max_size=72)    # hero autoscaling
blitz_py.wrap_balanced(headline, max_width=200, font_size=18)   # text-wrap: balance
blitz_py.measure_text_lines(text, font_size=13, max_width=200)  # per-line metrics
blitz_py.register_fonts([font_bytes])                           # once, process-wide

Text measurement

measure_text exposes the engine's own shaper (Parley + the same font collection used for rendering), so Python-side fitting logic — ellipsis, autoscaling, wrapping estimates — uses the same metrics the renderer will use, instead of a second font system that drifts:

w, h = blitz_py.measure_text("Living room temperature", font_size=16, font_weight=600)
_, wrapped_h = blitz_py.measure_text(long_text, font_size=14, max_width=208.0)

def ellipsize(text, max_w, **kw):
    while text and blitz_py.measure_text(text + "…", **kw)[0] > max_w:
        text = text[:-1]
    return text + "…"

Argument	Default	Meaning
`width`, `height`	required	CSS-pixel viewport size
`scale`	`1.0`	Device-pixel ratio; output is `widthscale` × `heightscale` physical pixels. Use `2.0` for supersampled/hi-dpi output.
`color_scheme`	`"light"`	`"light"` or `"dark"` — drives `@media (prefers-color-scheme: ...)`
`background`	`"#ffffff"`	Base canvas color (`#rgb`, `#rrggbb`, `#rrggbbaa`), or `None` for transparent
`base_url`	`None`	Base for resolving relative URLs
`css`	`None`	Extra CSS appended after the document's styles (wins the cascade)
`css_vars`	`None`	Dict of CSS custom properties set on `:root`, e.g. `{"accent": "#f00"}` → `var(--accent)`
`fonts`	`None`	List of font file `bytes` (TTF/OTF, variable fonts OK) to register
`default_font_family`	`None`	Family name to use for all CSS generic families (`sans-serif`, `serif`, ...) and as text fallback
`allow_file_urls`	`False`	Permit `file://` URLs for images/resources

Images and resources

Rendering is fully offline. Embed images as data: URIs, or enable allow_file_urls=True and use file:// paths. http(s) URLs are intentionally ignored.

import base64
b64 = base64.b64encode(open("icon.png", "rb").read()).decode()
html = f'<img src="data:image/png;base64,{b64}" style="width:32px">'

CSS frameworks (Bootstrap, Tailwind, ...)

Any framework that ships as plain CSS works — inline it in a <style> tag:

css = open("bootstrap.min.css").read()  # fetch/cache it however you like
html = f"<style>{css}</style><body class='p-4'><div class='card'>...</div></body>"

Bootstrap 5 components (cards, buttons, badges, alerts, progress bars) render correctly. For Tailwind, run its build step and inline the generated CSS — the JS "Play CDN" won't work because there is no JavaScript engine. JS-driven behavior (modals opening, dropdowns) doesn't apply to static rendering anyway.

Fonts

Bundled Inter is the default for every CSS generic family and the Latin-script fallback, everywhere. Explicit family names (font-family: "Comic Sans MS") resolve against system fonts where available (macOS/Windows natively; Linux via fontconfig loaded at runtime if present — never a link dependency). To use your own font:

font = open("MyFont.ttf", "rb").read()
blitz_py.render_png(html, width=240, height=240,
                    fonts=[font], default_font_family="My Font")

@font-face also works with data: (or file://) sources — state the format explicitly, either as the unquoted CSS keyword or a bare extension string:

@font-face {
  font-family: MyWebFont;
  src: url(data:font/ttf;base64,...) format(truetype);  /* or format("ttf") */
}

WOFF/WOFF2 sources are supported too. local(...) sources and format-less data URIs are currently skipped by the engine.

Note on coverage: bundled Inter covers Latin scripts (plus Greek/Cyrillic). For CJK, Arabic, and other scripts on systems without suitable fonts, pass an appropriate font (e.g. a Noto variant) via fonts=.

What's supported

Modern CSS as implemented by Stylo/Taffy: flexbox, grid, gradients, border-radius, shadows, transforms, calc(), custom properties, media queries, SVG images, WOFF... No JavaScript, no @font-face fetching, no external resources. Blitz itself is pre-1.0: capable but not pixel-perfect against browsers.

Performance

Measured on an M-series Mac (arm64), each scenario in a fresh process, release build — reproduce with examples/bench.py:

Scenario	Output px	First render	Warm render	Peak RSS after 200 renders
`<h1>Hello</h1>`	200×100	35ms	0.5ms	42MB
240×240 widget @2× (flex + gradients)	480×480	32ms	1.8ms	45MB
Bootstrap 5.3 card (233KB CSS)	880×720	39ms	8.2ms	51MB
Tailwind v4 dashboard (the gallery image)	1520×1328	60ms	22ms	62MB
Long article	800×4000	56ms	21ms	73MB
Animated GIF: widget, 38 frames	240×240×38	56ms total	1.5ms/frame	76MB

GIF encoding on top of rendering (Pillow quantize + LZW, 38 frames): ~60ms, 18KB output.

More performance properties, all verified in CI or by examples/bench.py:

Template re-renders in ~0.4ms (parse and first style pass amortized away).
Thread scaling: the GIL is released during rendering; 4 threads → ~3.5× throughput.
Deterministic across platforms: CI renders a golden set on Linux, macOS, and Windows and asserts the outputs are byte-identical. Snapshot tests in your project can compare exact hashes.
Package ships type stubs (py.typed), so the API autocompletes and type-checks.

The first render pays a one-time system-font scan; after that the font collection is cached and cloned per render. Importing the module adds ~1MB RSS; memory stays flat under sustained rendering (no per-render growth — verified over 1000+ renders). On an Alpine/arm64 container the warm widget render measures ~0.8ms.

The GIL is released during rendering, so concurrent renders from Python threads scale and async event loops aren't blocked.

Why not a headless browser?

Playwright/Chromium render HTML too — at ~150MB+ of install, a browser process to babysit, and cold starts in the hundreds of milliseconds. blitz-py is a ~7MB self-contained wheel with millisecond renders, suitable for embedded targets like Home Assistant integrations generating widget images for small displays (its original use case).

License

MIT OR Apache-2.0. Bundled Inter font: SIL OFL 1.1 (assets/LICENSE-Inter.txt).

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0.5.0

Aug 17, 2026

0.4.2

Aug 7, 2026

0.4.1

Aug 7, 2026

0.4.0

Aug 7, 2026

0.3.0

Aug 7, 2026

0.2.0

Aug 7, 2026

0.1.0

Aug 7, 2026

blitz-py 0.5.0

blitz-py

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Fast repeated renders: `Template`