jp15
Python bindings for OpenJPH HTJ2K encode/decode, with an optional Zarr v3 codec.
Installation
pip install "jp15[zarr]" # with Zarr codec support
pip install jp15 # encode/decode only
Basic usage
import jp15
import numpy as np
data = np.random.randint(0, 60000, (64, 128), dtype=np.uint16)
encoded = jp15.encode(
data,
irreversible=False,
qstep=None,
num_decompositions=5,
block_size=(64, 64),
progression_order="LRCP",
color_transform=False,
planar=True,
)
decoded = jp15.decode(encoded)
np.testing.assert_array_equal(decoded, data)
decode requires no dtype or shape hint from the caller. HTJ2K codestreams carry a SIZ
(image size) marker in their header that records the image dimensions, number of
components, bit depth, and signedness at encode time. decode reads this marker and
uses it to allocate the output buffer and select the correct element type, so the
reconstructed array always matches the original without any extra bookkeeping on the
caller's side.
Zarr v3 codec
OpenJPHCodec is a Zarr v3 array-to-bytes codec passed in the array's codecs pipeline.
from jp15.zarr import OpenJPHCodec
import numpy as np
import zarr
data = np.arange(64 * 96, dtype=np.uint16).reshape(64, 96)
array = zarr.create(
store="example.zarr",
shape=data.shape,
chunks=data.shape,
dtype=data.dtype,
codecs=[OpenJPHCodec(layout="yx")],
zarr_format=3,
)
array[:] = data
np.testing.assert_array_equal(array[:], data)
Release files for jp15 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jp15-0.1.0.tar.gz | 16.3 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| jp15-0.1.0-py3-none-win_arm64.whl | Python 3 | none | Windows ARM64 | Details |
| jp15-0.1.0-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| jp15-0.1.0-py3-none-manylinux_2_28_x86_64.whl | Python 3 | none | Linux glibc 2.28+ x86-64 | Details |
| jp15-0.1.0-py3-none-manylinux_2_28_aarch64.whl | Python 3 | none | Linux glibc 2.28+ ARM64 | Details |
| jp15-0.1.0-py3-none-macosx_11_0_arm64.whl | Python 3 | none | macOS 11.0+ ARM64 | Details |
| jp15-0.1.0-py3-none-macosx_10_15_x86_64.whl | Python 3 | none | macOS 10.15+ x86-64 | Details |
Total release size: 1.1 MB
Release files / jp15-0.1.0.tar.gz
| Download URL | jp15-0.1.0.tar.gz |
|---|---|
| Size | 16.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
423c4d624a12097de49ef14a631de418fcf1f1f0faafe5f6b30e4a87125a3825
|
|
BLAKE2b-256 checksum How to use checksums |
f16bbba4338e6587ce8c549f55d2ef287a2261c79acef8704e0c7e0ef9e608df
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency logRelease files / jp15-0.1.0-py3-none-win_arm64.whl
| Download URL | jp15-0.1.0-py3-none-win_arm64.whl |
|---|---|
| Size | 106.8 kB |
| Tags | Python 3 Windows ARM64 |
|
SHA-256 checksum How to use checksums |
f278cb74de4f57e53db94edd0675530920cedf73fb79d6cc0f5fff437e2cc8fb
|
|
BLAKE2b-256 checksum How to use checksums |
b8112346ac1ada94e413164486fd9c74800ea67a86cb324038d62a77037d02d5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency logRelease files / jp15-0.1.0-py3-none-win_amd64.whl
| Download URL | jp15-0.1.0-py3-none-win_amd64.whl |
|---|---|
| Size | 162.6 kB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
3870b72840249162c2ae6a13d1f39edcefff0a9fccb00f203b83bd2c4a341506
|
|
BLAKE2b-256 checksum How to use checksums |
2e1a01cfab96d70de83e5600c216d98cb90d497db2c89825dc9dc2ddfa16524b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency logRelease files / jp15-0.1.0-py3-none-manylinux_2_28_x86_64.whl
| Download URL | jp15-0.1.0-py3-none-manylinux_2_28_x86_64.whl |
|---|---|
| Size | 255.0 kB |
| Tags | Linux glibc 2.28+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
31b06abad0b57ba1c63d4c881549b9853c29012b94ae999d79b0d078e754a958
|
|
BLAKE2b-256 checksum How to use checksums |
4d4d0a389a1a4910b7df794ae3fb7814e94d7921cd7973b11dd4e8d62ff1c4f9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency logRelease files / jp15-0.1.0-py3-none-manylinux_2_28_aarch64.whl
| Download URL | jp15-0.1.0-py3-none-manylinux_2_28_aarch64.whl |
|---|---|
| Size | 178.0 kB |
| Tags | Linux glibc 2.28+ ARM64 Python 3 |
|
SHA-256 checksum How to use checksums |
0accaafb5cc2b72242699b6ef5e54d43bb648c09f9c2aa9bd656735e23f5d8c3
|
|
BLAKE2b-256 checksum How to use checksums |
a9d6ed2e353c1cae93f5865b99b5fa9d2e9b5670a242c72abdbece6f288da960
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency logRelease files / jp15-0.1.0-py3-none-macosx_11_0_arm64.whl
| Download URL | jp15-0.1.0-py3-none-macosx_11_0_arm64.whl |
|---|---|
| Size | 136.9 kB |
| Tags | Python 3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
d6cea1b6326f1c574c48aaac5f1aedc68c8dcf52fa06f2339295e4f35d911202
|
|
BLAKE2b-256 checksum How to use checksums |
6126e13d67edce11a30f7c80fb418b418dd3dbe9f644c2d4b803baa4a93223d4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency logRelease files / jp15-0.1.0-py3-none-macosx_10_15_x86_64.whl
| Download URL | jp15-0.1.0-py3-none-macosx_10_15_x86_64.whl |
|---|---|
| Size | 205.2 kB |
| Tags | Python 3 macOS 10.15+ x86-64 |
|
SHA-256 checksum How to use checksums |
f59e8bc13ce027e79d88ac25fa518869da53a3c797b9fc78ddc534237c672eab
|
|
BLAKE2b-256 checksum How to use checksums |
8ea4f359bfee3c9d3572b999ccba82c67689f10644303b6904757814f3129d79
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 23, 2026.
Transparency log
