CVE and update status of the FreeBSD ports tree3,296 unaddressed CVEs in 671 portsAll times are CET
Port details

archivers/py-bitshuffle 0.5.2_2

Bitshuffle filter for improving typed data compression

Port info

Maintainer
sunpoet@FreeBSD.org
Packages
latest: 0.5.2_2
Upstream
up to date
Last update
to 0.5.2_2 · 2bf3834a19
Quarterly
2026Q4: 0.5.2_2
WWW
https://github.com/kiyo-masui/bitshuffle
Links
cgit · VuXML · Report wrong data

Install

Package
# pkg install py312-bitshuffle
installs 0.5.2_2 from latest; from quarterly (2026Q4) 0.5.2_2
Port
# cd /usr/ports/archivers/py-bitshuffle && make install clean
Size
158 KiB download · 695 KiB installed
Depends on
devel/py-setuptools 63.1.0_3, lang/python312 3.12.15, math/py-numpy 2.4.6_1,1, science/py-h5py 3.16.0_1
License
MIT

Packages by version and architecture

latest

FreeBSD versionamd64aarch64i386
FreeBSD 160.5.2_2✗–
FreeBSD 150.5.2_2✗–
FreeBSD 140.5.2_2✗0.5.2_2

quarterly (2026Q4)

FreeBSD versionamd64aarch64i386
FreeBSD 150.5.2_2✗–
FreeBSD 140.5.2_2✗0.5.2_2

version as in the ports tree (latest) or the most common one (quarterly) · different version · ✗ not built · – no packages for this platform. Package sets that have not been rebuilt for 60 days are left out.

Unaddressed and VuXML only (0)

No unaddressed CVE and nothing reported by pkg audit for the packaged version 0.5.2_2.

Fixed (0)

No VuXML entries for this package.

Problem reports (0) · open in Bugzilla, most recently changed first

None.

Commits (6)

Max Brazhnikov (makc) · 0.5.2_2
*/*: bump PORTREVISION after switching to NumPy 2.x
2bf3834a19
Max Brazhnikov (makc) · 0.5.2_1
*/*: Switch to NumPy 2.x

PR:		294328
Exp-run:	antoine
b0b4d9e1ea
Charlie Li (vishwin) · 0.5.2_1
math/py-numpy: switch all consumers to math/py-numpy1

...and bump PORTREVISIONs of consumers with hard RUN_DEPENDS

PR: 281470
d4bd5ba72e
Matthias Andree (mandree) · 0.5.2
*: Revise USES=python:... version range constraints

and strip all lower bounds of 3.9 or 3.10 because they are implied now.

python:3.9-X  -> python:-X
python:3.9+   -> python
python:3.10-X -> python:-X
python:3.10+  -> python
(options such as ,build preserved)
1403bb7765
Po-Chuan Hsieh (sunpoet) · 0.5.2
archivers/py-bitshuffle: Update to 0.5.2

Changes:	https://github.com/kiyo-masui/bitshuffle/releases
b1c39644b0
Po-Chuan Hsieh (sunpoet) · 0.5.1
archivers/py-bitshuffle: Add py-bitshuffle 0.5.1

Bitshuffle is an algorithm that rearranges typed, binary data for improving
compression, as well as a python/C package that implements this algorithm within
the Numpy framework.

The library can be used along side HDF5 to compress and decompress datasets and
is integrated through the dynamically loaded filters framework. Bitshuffle is
HDF5 filter number 32008.

Algorithmically, Bitshuffle is closely related to HDF5's Shuffle filter except
it operates at the bit level instead of the byte level. Arranging a typed data
array in to a matrix with the elements as the rows and the bits within the
elements as the columns, Bitshuffle "transposes" the matrix, such that all the
least-significant-bits are in a row, etc.

This does not in itself compress data, only rearranges it for more efficient
compression. To perform the actual compression you will need a compression
library. Bitshuffle has been designed to be well matched to Marc Lehmann's LZF
as well as LZ4 and ZSTD. Note that because Bitshuffle modifies the data at the
bit level, sophisticated entropy reducing compression libraries such as GZIP and
BZIP are unlikely to achieve significantly better compression than simpler and
faster duplicate-string-elimination algorithms such as LZF, LZ4 and ZSTD.
Bitshuffle thus includes routines (and HDF5 filter options) to apply LZ4 and
ZSTD compression to each block after shuffling.
c8b4d6d391