graphics/py-tifffile: Update to 2022.3.25 tifffile drops official Python 3.7 support since 2022.2.2, but it still builds fine. Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rstff49b95133
Port details
graphics/py-tifffile2026.9.20
Read and write TIFF(r) files
- Maintainer
- sunpoet@FreeBSD.org
- Packages
- py312-tifffile 2026.9.20
- Upstream
- Higher version available: 2026.10.15
- CPE
- none, CVEs only via VuXML
- WWW
- https://www.cgohlke.com/docs/tifffile/
- Links
- cgit · VuXML
Unaddressed (0) · The CVE record lists this version as affected, no VuXML entry names the CVE
None. There is no CVE without a VuXML entry for this version.
VuXML only (0) · listed, port not fixed yet
None.
pkg audit reports nothing for this version.Fixed (0)
No VuXML entries for this package.
Commits (60)
graphics/py-tifffile: Update to 2021.11.2 Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rst7d945ba3b7
graphics/py-tifffile: Update to 2021.8.30 Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rstfd96ef12de
graphics/py-tifffile: Update to 2021.7.2 Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rstbf9ae52f8b
graphics/py-tifffile: Update to 2021.6.14 Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rstb595d762ab
graphics/py-tifffile: Update to 2021.4.8 Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rst701ecf0316
Remove # $FreeBSD$ from Makefiles.305f148f48
Update to 2021.2.1 Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rst31922cd409
Update to 2021.1.14 Changes: https://github.com/cgohlke/tifffile/blob/master/CHANGES.rstd93a60ad47
Add py-tifffile 2020.10.1 Tifffile is a Python library to - store numpy arrays in TIFF (Tagged Image File Format) files, and - read image and metadata from TIFF-like files used in bioimaging. Image and metadata can be read from TIFF, BigTIFF, OME-TIFF, STK, LSM, SGI, NIHImage, ImageJ, MicroManager, FluoView, ScanImage, SEQ, GEL, SVS, SCN, SIS, ZIF (Zoomable Image File Format), QPTIFF (QPI), NDPI, and GeoTIFF files. Image data can be read as numpy arrays or zarr arrays/groups from strips, tiles, pages (IFDs), SubIFDs, higher order series, and pyramidal levels. Numpy arrays can be written to TIFF, BigTIFF, OME-TIFF, and ImageJ hyperstack compatible files in multi-page, volumetric, pyramidal, memory-mappable, tiled, predicted, or compressed form. A subset of the TIFF specification is supported, mainly 8, 16, 32 and 64-bit integer, 16, 32 and 64-bit float, grayscale and multi-sample images. Specifically, CCITT and OJPEG compression, chroma subsampling without JPEG compression, color space transformations, samples with differing types, or IPTC and XMP metadata are not implemented. WWW: https://github.com/cgohlke/tifffile79453a591b