turbojpeg

library0.0.2pypypi✓ verified 84d ago

Python bindings for libjpeg-turbo using pybind11, providing fast JPEG compression and decompression with access to lossless crop/scale operations. Current version 0.0.2.post1, requires Python >=3.7. Development is slow with only a few releases.

serialization data

pip install turbojpeg

github ↗package ↗

INSTALL

IMPORT

SIG · TURBOJPEG

turbojpeg

serializationpythonv0.0.2

Install

1.7s avg

Import

—

Disk

19MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.0.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 22.9MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.7s · import 0.000s · 20MB

19MB installed

● package 19MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

TurboJPEG

✓ import turbojpeg

✗ from turbojpeg import TurboJPEG

Basic JPEG decode and encode using TurboJPEG.

from turbojpeg import TurboJPEG import os # Initialize TurboJPEG jpeg = TurboJPEG() # Read JPEG file and decompress input_file = 'input.jpg' with open(input_file, 'rb') as f: jpeg_data = f.read() img = jpeg.decode(jpeg_data) # img is a numpy array (height, width, channels) # Compress back to JPEG output_file = 'output.jpg' with open(output_file, 'wb') as f: f.write(jpeg.encode(img))

Debug

Known issues

gotchaThe package version 0.0.2.post1 is very early and may have API changes without notice. Not recommended for production.

fix

Pin version or monitor for updates.

affects: <1.0

gotchaPlatform compatibility: binary wheels are not provided for all platforms (e.g., aarch64, manylinux2014). You may need to install libjpeg-turbo system-wide or build from source.

fix

Install libjpeg-turbo via system package manager (e.g., apt install libjpeg-turbo8-dev) or use Docker.

affects: all

deprecatedThe 'decode' method returns a numpy array with HWC format (height, width, channels). Some users expect CHW.

fix

Ensure numpy and array handling match expected layout.

affects: all

Upgrade

Version history

0.0.2latest on PyPI · released Aug 6, 2023

Audit

Dependencies

libjpeg-turbooptionalDynamic library required for binary wheels not provided on all platforms

Agent activity

29 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/Dobatymo/turbojpeg-python ↗

packagehttps://pypi.org/project/turbojpeg/ ↗