Native Imaging
This is an experiment in seeing how far you can get using platform-provided packages such as GraphicsMagick, CoreImage, etc. to provide a PIL-like interface but taking advantage of their support for more advanced features such as threading, broader format support (including JPEG-2000), vectorization, etc.
The goal is simple: a user should be able to install NativeImaging and do something like this to a program which is currently using PIL:
from NativeImaging import get_image_class
Image = get_image_class("GraphicsMagick")
Status
aware
Very fast JPEG 2000 thumbnail generation compared to GraphicsMagick. Requires the non-OSS AWARE library: http://www.aware.com/imaging/jpeg2000.htm
GraphicsMagick
Currently supports typical web application usage: loading an image, resizing it and saving the result. Testing reveals mixed results, beating PIL when producing thumbnails from large TIFFs and underperforming when thumbnailing equivalent JPEGs, both by about 2:1.
Both CPython and PyPy are supported, with PyPy seeing performance gains using the CFFI backend instead of ctypes. Significant optimization gains are likely possible, particularly where the I/O functions marshall data in and out of the non-filename-based APIs where data is currently being copied.
Jython
Currently supports basic usage: loading an image, resizing it, and saving the result. Performance is generally quite decent as the Java Advanced Imaging API is quite tuned, if somewhat baroque in design.
1 maintainer
Metadata
1 maintainer
Release files for NativeImaging 0.0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| NativeImaging-0.0.10.tar.gz | 30.6 MB | Without provenance | Details for NativeImaging-0.0.10.tar.gz |
Release files / NativeImaging-0.0.10.tar.gz
| Download URL | NativeImaging-0.0.10.tar.gz |
|---|---|
| Size | 30.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
85a5450672534b1378621bc61ec4fd2ba81c5fc659dbf6431f736dd197d85b19
|
|
BLAKE2b-256 checksum How to use checksums |
b82a9197173b1d4fa9d74d1e491a0c78e7f68ee3701db93205b56977f0de4b43
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for NativeImaging 0.0.10
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
