thumbleweed 🌵
Unified image hashing, thumbnailing, and compression for Python.
Rust-powered via PyO3 + maturin. Zero mandatory dependencies.
- ✅ ThumbHash — compact image placeholder hashes (drop-in for
thumbhash&fast-thumbhash) - ✅ BlurHash — smooth gradient placeholders (drop-in for
blurhash-python) - ✅ ColorThief — dominant colour + palette extraction (drop-in for
colorthief&fast-colorthief) - ✅ Thumbnails — real rasterised thumbnails for images, videos (MP4), and PDFs, with a pure-Rust crude fallback that needs no ffmpeg, no pdfium
- ✅ Compression — optional pixo-powered JPEG/PNG re-encoder, auto-applied to thumbnail output (mozjpeg/oxipng-class quality, pure Rust)
- ✅ Python 3.11 – 3.15 (including free-threaded
3.14t/3.15t) - ✅ Pre-built wheels for Windows | Linux
x86,AMD64,ARM64and macOSIntel Based|Apple Silicon - ✅ Pillow > 13.0 integration (optional)
- ✅ Typed (
py.typed+.pyistubs) - ✅ Pure-Rust core — no C extensions, no NumPy required
Installation
pip install thumbleweed
# with Pillow helpers:
pip install "thumbleweed[pillow]"
Optional Rust-side features
A few capabilities are gated behind cargo features so the default wheel stays small and portable. The Python install extras are documentation hooks — to actually enable a feature you must build the wheel from source with the matching cargo feature:
| Cargo feature | What it enables | Pulls in |
|---|---|---|
pixo |
mozjpeg/oxipng-class JPEG & PNG compression; auto-applied to thumbnail output via compress=True |
pure Rust |
auto-thumbnail |
High-fidelity thumbnail backend including PDF (via pdfium-render) and video (via ffmpeg/video-rs) |
pdfium + ffmpeg |
Build from source with extras enabled:
# Compression only (lightweight, pure Rust)
MATURIN_PEP517_ARGS="--features pixo" pip install thumbleweed --no-binary thumbleweed
# Compression + full pdf/video backend (requires system pdfium + ffmpeg)
MATURIN_PEP517_ARGS="--features pixo,auto-thumbnail" \
pip install thumbleweed --no-binary thumbleweed
Without these features the crude thumbnail engine is still available
(MP4 cover-art atom scrape + PDF JPEG-stream scrape + deterministic
gradient placeholder) and the compress module degrades to a safe
pass-through.
Note that auto-thumbnail is currently an all-or-nothing upstream feature:
enabling it pulls in both PDF and video support together rather than as
separate cargo toggles.
Development with uv
curl -LsSf https://astral.sh/uv/install.sh | sh
make sync
make test
All import paths work:
import thumbleweed # the unified package
import thumbhash # ThumbHash only
import blurhash # BlurHash only
import colorthief # ColorThief
from thumbleweed import thumbnail # rasterised thumbnails
from thumbleweed import compress # optional pixo compression
Quick-start
ThumbHash
import thumbhash as th
# Encode — rgba_bytes must be bytes/bytearray of length w*h*4 (R G B A, non-premultiplied)
hash_bytes: bytes = th.encode(w, h, rgba_bytes)
# Decode
w_out, h_out, rgba_out = th.decode(hash_bytes)
# Helpers
r, g, b, a = th.average_rgba(hash_bytes) # dominant colour [0, 1]
ratio = th.approximate_aspect_ratio(hash_bytes) # width / height
BlurHash
import blurhash as bh
# Encode
hash_str: str = bh.encode(rgba_bytes, cx=4, cy=3, width=w, height=h)
# Decode
rgba: bytes = bh.decode(hash_str, width=64, height=64)
Pillow images / BytesIO
from PIL import Image
import io
# From a Pillow Image
import thumbhash as th
img = Image.open("photo.jpg")
hash_str = th.encode_image(img) # base64 string; input is resized internally
placeholder = th.decode_image(hash_str) # → RGBA Image, ≈32 px
# From a BytesIO object
buf = io.BytesIO(open("photo.jpg", "rb").read())
hash_str = th.encode_image(buf)
# BlurHash
import blurhash as bh
hash_str = bh.encode_image(img, cx=4, cy=3)
placeholder = bh.decode_image(hash_str, width=64, height=64)
ColorThief
import colorthief as ct
# From encoded image bytes (PNG, JPEG, WebP, …)
dominant = ct.get_color(image_bytes) # → (r, g, b)
palette = ct.get_palette(image_bytes, color_count=5) # → [(r, g, b), (r, g, b), ...]
# From a file path
dominant = ct.get_color("photo.jpg")
# From a BytesIO object
import io
buf = io.BytesIO(open("photo.jpg", "rb").read())
dominant = ct.get_color(buf) # accepts bytes, BytesIO, file path, or PIL Image
palette = ct.get_palette(buf, color_count=5)
# Class-based API (drop-in for the colorthief package)
thief = ct.ColorThief("photo.jpg")
dominant = thief.get_color()
palette = thief.get_palette(color_count=8)
thumbleweed (unified)
import thumbleweed
# ThumbHash raw-pixel API
hash_bytes = thumbleweed.thumbhash_encode(w, h, rgba) # raw ThumbHash bytes
w, h, rgba = thumbleweed.thumbhash_decode(hash_bytes)
# ThumbHash image helper API
hash_str = thumbleweed.thumbhash_encode_image(image_bytes) # base64 string like BlurHash
# BlurHash
hash_str = thumbleweed.blurhash_encode(rgba, 4, 3, w, h)
rgba = thumbleweed.blurhash_decode(hash_str, 64, 64)
# ColorThief
dominant = thumbleweed.colorthief_get_color(image_bytes)
palette = thumbleweed.colorthief_get_palette(image_bytes, 5, 10)
Thumbnails (images / videos / PDFs)
from thumbleweed import thumbnail
# Works on JPEG, PNG, WebP, GIF, BMP, MP4, MKV/WebM, PDF —
# accepts bytes, BytesIO, file paths, pathlib.Path, and PIL.Image.
jpeg_bytes = thumbnail.create("holiday.mp4", width=256, height=256)
png_bytes = thumbnail.create("manual.pdf", format="png", width=128, height=128)
webp_bytes = thumbnail.create("photo.jpg", format="webp", width=64, height=64)
# Save directly
thumbnail.save("video.mp4", "video_thumb.jpg", width=256, height=256)
# Inspect the wheel's capabilities
print(thumbnail.detect_kind("file.pdf")) # → "pdf"
print(thumbnail.available_backends()) # → ['crude'] or ['crude', 'auto-thumbnail']
Two engines ship in the wheel:
crude(always available): pure-Rust pipeline. Resizes images via theimagecrate; scrapes embedded cover art from MP4 (covratom) and the first JPEG (/DCTDecode) image stream from PDFs; otherwise generates a deterministic colour-gradient placeholder.auto-thumbnail(cargo feature): wraps the auto-thumbnail crate for proper PDF rasterisation (pdfium) and video frame extraction (ffmpeg).
Default engine="auto" picks auto-thumbnail when present, falling
back to crude on any failure — you always get something back.
Compression (optional, pixo-backed)
from thumbleweed import compress, thumbnail
if compress.is_available():
smaller = compress.compress(open("photo.jpg", "rb").read(), quality=85)
bytes_saved = compress.compress_path("photo.jpg") # in-place
# Auto-applied to thumbnail output (the default — pass compress=False to skip)
thumb = thumbnail.create("photo.jpg", width=256, height=256) # compressed
thumb = thumbnail.create("photo.jpg", width=256, height=256, compress=False)
When the wheel is not built with --features pixo, every function in
thumbleweed.compress becomes a no-op pass-through, so compress=True
remains safe to leave on as the default everywhere.
Project structure
thumbleweed/
├── src/
│ ├── lib.rs # PyO3 module — Python bindings
│ ├── thumbhash.rs # Pure Rust ThumbHash encode/decode
│ ├── blurhash.rs # Pure Rust BlurHash encode/decode
│ ├── colorthief.rs # ColorThief — dominant colour & palette extraction
│ ├── thumbnail.rs # Rasterised thumbnails (crude + auto-thumbnail)
│ └── compress.rs # Optional pixo-powered JPEG/PNG re-encoder
├── python/
│ ├── thumbleweed/ # Main package — re-exports everything
│ │ ├── thumbnail.py # High-level thumbnail submodule
│ │ └── compress.py # High-level compression submodule
│ ├── thumbhash/ # Backward-compatible ThumbHash shim
│ ├── blurhash/ # BlurHash shim
│ └── colorthief/ # ColorThief shim
├── tests/
│ ├── test_thumbhash.py # 70+ ThumbHash tests
│ ├── test_blurhash.py # 28+ BlurHash tests
│ ├── test_colorthief.py# ColorThief tests
│ ├── test_thumbnail.py # 153 thumbnail tests across all jpg / mp4 / pdf fixtures
│ ├── test_compress.py # 60+ compression + integration tests
│ └── test_imports.py # import / version-consistency tests
└── Cargo.toml
API reference
ThumbHash (import thumbhash)
| Function | Description |
|---|---|
encode(w, h, rgba) → bytes |
Encode raw RGBA bytes → ThumbHash |
decode(hash) → (w, h, rgba) |
Decode ThumbHash → raw RGBA bytes |
average_rgba(hash) → (r,g,b,a) |
Dominant colour in [0, 1] |
approximate_aspect_ratio(hash) → float |
Width / height of the original image |
encode_image(img) → str |
Encode a Pillow Image (Pillow required), or encoded image bytes, BytesIO, or file path (no Pillow required) → base64 ThumbHash string |
decode_image(hash) → Image |
Decode a base64 ThumbHash string or raw ThumbHash bytes to a Pillow Image (requires Pillow) |
BlurHash (import blurhash)
| Function | Description |
|---|---|
encode(pixels, cx, cy, w, h) → str |
Encode raw RGBA bytes → BlurHash string |
decode(hash, w, h) → bytes |
Decode BlurHash → raw RGBA bytes |
encode_image(img, cx, cy) → str |
Encode a Pillow Image (Pillow required), or encoded image bytes, BytesIO, or file path (no Pillow required) → BlurHash |
decode_image(hash, w, h) → Image |
Decode to a Pillow Image (requires Pillow) |
ColorThief (import colorthief)
| Function | Description |
|---|---|
get_color(image, quality) → (r,g,b) |
Dominant colour from bytes, BytesIO, file path, or PIL Image |
get_palette(image, color_count, quality) → list[(r,g,b)] |
Colour palette from bytes, BytesIO, file path, or PIL Image |
ColorThief(image) |
Class-based API — accepts bytes, BytesIO, file path, or PIL Image |
Thumbnail (from thumbleweed import thumbnail)
| Function | Description |
|---|---|
create(source, width, height, quality, format, engine, compress) → bytes |
Build a thumbnail from any image / video / PDF source |
create_from_bytes(data, ...) → bytes |
Build from raw encoded bytes (skip the input-normalisation overhead) |
create_from_path(path, ...) → bytes |
Build from a file path |
save(source, output_path, ...) → None |
Build a thumbnail and write it to disk |
detect_kind(source) → str |
Inspect magic bytes — returns "image" / "video" / "pdf" / "unknown" |
available_backends() → list[str] |
Lists which backends were compiled in — always includes "crude" |
Compress (from thumbleweed import compress)
| Function | Description |
|---|---|
compress(source, format, quality) → bytes |
Re-encode JPEG/PNG via pixo's max preset (no-op for WebP / unknown / when feature is off). Returns the input verbatim if pixo can't shrink it. |
compress_path(input, output=None, ...) → int |
Compress a file in-place (or to output). Returns bytes saved. |
is_available() → bool |
True if the wheel was built with the pixo cargo feature |
detect_format(source) → str |
"jpeg" / "png" / "webp" / "unknown" |
Performance Benchmark Results
Benchmark configuration: 5 rounds × 100 iterations (pure-Python libraries use 5 iterations). Input corpus: all real image fixtures in
tests/(one.jpg,two.jpg,four.jpg,OPS.jpg). All times are mean per-call latency. Lower is better.
| Operation | thumbleweed | Comparison | Result |
|---|---|---|---|
| ThumbHash encode (real test images) | 825.4 µs | thumbhash-python (pure Python): 27.26 ms | 33.0× faster |
| ThumbHash decode (real test images) | 56.4 µs | thumbhash-python (pure Python): 5.49 ms | 97.3× faster |
| BlurHash encode (real test images) | 4.98 ms | blurhash-python (CFFI): 4.42 ms | 1.1× slower |
| BlurHash decode 64×64 (real test images) | 902.4 µs | blurhash-python (CFFI): 842.2 µs | 1.1× slower |
| ColorThief dominant (real test images) | 5.09 ms | fast-colorthief (C ext + NumPy): 18.62 ms | 3.7× faster |
| ColorThief palette-10 (real test images) | 5.17 ms | fast-colorthief (C ext + NumPy): 18.38 ms | 3.6× faster |
(The above values are updated by a benchmark script ocassionally)
Notes on ColorThief timing: thumbleweed includes image decode in its timing because it accepts raw encoded bytes from the real test fixtures, while fast-colorthief also reads from in-memory file-like objects in these benchmarks. This measures realistic end-to-end usage rather than just the inner palette routine.
Building from source
git clone https://github.com/New-Elysium/thumbleweed.git
cd thumbleweed
make sync # sync uv environment + install editable
make test # run Python + Rust tests
Make targets
make sync— sync uv environment and install the extension in editable modemake test— run Python tests and Rust testsmake dist— build wheels intodist/make upload— uploaddist/*withtwine
Running Benchmarks
Benchmarks require bench dependencies which are not compatible with every Python version (blurhash-python has no wheels for 3.13+, fast-colorthief none for 3.15+). To avoid conflicts, run them with a fully supported Python version (e.g. 3.12):
# Sync using a Python version that supports all benchmark dependencies
uv sync --group bench --python 3.12
uv run python tests/bench_comparison.py
# Refresh the benchmark table in this README
uv run python scripts/update_readme.py
Licence
MIT — see LICENCE.
1 maintainer
Metadata
1 maintainer
Release files for thumbleweed 0.2.6
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