Debian NEW package overview for kerchunk
kerchunk_0.2.9-1_amd64.changes (click to toggle)
Format:1.8
Date:Sun, 28 Dec 2025 08:17:47 +0000
Source:kerchunk
Binary:python-kerchunk-doc python3-kerchunk
Architecture:source all
Version:0.2.9-1
Distribution:unstable
Urgency:low
Maintainer:Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Changed-By:Antonio Valentino <antonio.valentino@tiscali.it>
Description:
python-kerchunk-doc - Cloud-friendly access to archival data (documentation)
python3-kerchunk - Cloud-friendly access to archival data
Closes:1124102
Changes:
kerchunk (0.2.9-1) unstable; urgency=low

  * Initial release (Closes: #1124102).
Files:
ee239506897c27012cdc1c3ee4b81cd6 4478 python optional kerchunk_0.2.9-1.dsc
37d48624e7e1c39a79f866204090a04c 124716963 python optional kerchunk_0.2.9.orig.tar.gz
11ebcb233ec497e28816f9aa7d308b21 6788 python optional kerchunk_0.2.9-1.debian.tar.xz
a11caa524e56106d5ea2948292180c7b 15504 python optional kerchunk_0.2.9-1_amd64.buildinfo
f51d33ddafc9030684928e144ba9492c 712192 doc optional python-kerchunk-doc_0.2.9-1_all.deb
bbbec3cc4d6806d23718105723c1a38d 466932 python optional python3-kerchunk_0.2.9-1_all.deb
kerchunk_0.2.9-1.dsc (click to toggle)
Format:3.0 (quilt)
Source:kerchunk
Binary:python3-kerchunk, python-kerchunk-doc
Architecture:all
Version:0.2.9-1
Maintainer:Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Uploaders:Antonio Valentino <antonio.valentino@tiscali.it>
Homepage:https://github.com/fsspec/kerchunk
Description:
Cloud-friendly access to archival data
Kerchunk is a library that provides a unified way to represent a
variety of chunked, compressed data formats (e.g. NetCDF, HDF5, GRIB),
allowing efficient access to the data from traditional file systems or
cloud object storage.  It also provides a flexible way to create
virtual datasets from multiple files.  It does this by extracting the
byte ranges, compression information and other information about the
data and storing this metadata in a new, separate object.
This means that you can create a virtual aggregate dataset over
potentially many source files, for efficient, parallel and
cloud-friendly *in-situ* access without having to copy or translate
the originals. It is a gateway to in-the-cloud massive data processing
while the data providers still insist on using legacy formats for
archival storage.

Features:

 * completely serverless architecture
 * metadata consolidation, so you can understand a many-file dataset
   (metadata plus physical storage) in a single read
 * read from all of the storage backends supported by fsspec,
   including object storage (s3, gcs, abfs, alibaba), http, cloud user
   storage (dropbox, gdrive) and network protocols (ftp, ssh, hdfs,
   smb...)
 * loading of various file types (currently netcdf4/HDF, grib2, tiff,
   fits, zarr), potentially heterogeneous within a single dataset,
   without a need to go via the specific driver (e.g., no need for
   h5py)
 * asynchronous concurrent fetch of many data chunks in one go,
   amortizing the cost of latency
 * parallel access with a library like zarr without any locks
 * logical datasets viewing many (>~millions) data files, and direct
   access/subselection to them via coordinate indexing across an
   arbitrary number of dimensions
Standards-Version:4.7.2
Vcs-Browser:https://salsa.debian.org/debian-gis-team/kerchunk
Vcs-Git:https://salsa.debian.org/debian-gis-team/kerchunk.git
Testsuite:autopkgtest-pkg-pybuild
Build-Depends:debhelper-compat (=13), dh-sequence-python3, dh-sequence-sphinxdoc<!nodoc>, pybuild-plugin-pyproject, python3-aiohttp<!nocheck>, python3-all, python3-astropy<!nodoc>, python3-dask<!nocheck>, python3-cfgrib, python3-cftime, python3-eccodes<!nodoc>, python3-fsspec, python3-h5netcdf<!nocheck>, python3-h5py, python3-netcdf4<!nocheck>, python3-numcodecs, python3-numpy, python3-numpydoc<!nodoc>, python3-pytest<!nocheck>, python3-scipy, python3-setuptools, python3-setuptools-scm, python3-sphinx<!nodoc>, python3-sphinx-rtd-theme<!nodoc>, python3-tifffile<!nodoc>, python3-ujson, python3-xarray, python3-zarr
Package-List:python-kerchunk-doc deb doc optional arch=all python3-kerchunk deb python optional arch=all
Files:
37d48624e7e1c39a79f866204090a04c 124716963 kerchunk_0.2.9.orig.tar.gz
11ebcb233ec497e28816f9aa7d308b21 6788 kerchunk_0.2.9-1.debian.tar.xz
lintian 2.116.3+deb12u1 check for kerchunk_0.2.9-1.dsc (click to toggle)
README.source for kerchunk_0.2.9-1.dsc (click to toggle)
No README.source in this package
control file for python-kerchunk-doc_0.2.9-1_all.deb (click to toggle)
Package:python-kerchunk-doc
Source:kerchunk
Version:0.2.9-1
Architecture:all
Maintainer:Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Installed-Size:2464
Depends:libjs-jquery (>=3.6.0), libjs-sphinxdoc (>=8.2), sphinx-rtd-theme-common (>=3.0.2+dfsg)
Suggests:www-browser
Section:doc
Priority:optional
Homepage:https://github.com/fsspec/kerchunk
Description:
Cloud-friendly access to archival data (documentation)
 Kerchunk is a library that provides a unified way to represent a
 variety of chunked, compressed data formats (e.g. NetCDF, HDF5, GRIB),
 allowing efficient access to the data from traditional file systems or
 cloud object storage.  It also provides a flexible way to create
 virtual datasets from multiple files.  It does this by extracting the
 byte ranges, compression information and other information about the
 data and storing this metadata in a new, separate object.
 This means that you can create a virtual aggregate dataset over
 potentially many source files, for efficient, parallel and
 cloud-friendly *in-situ* access without having to copy or translate
 the originals. It is a gateway to in-the-cloud massive data processing
 while the data providers still insist on using legacy formats for
 archival storage.
 .
 Features:
 .
  * completely serverless architecture
  * metadata consolidation, so you can understand a many-file dataset
    (metadata plus physical storage) in a single read
  * read from all of the storage backends supported by fsspec,
    including object storage (s3, gcs, abfs, alibaba), http, cloud user
    storage (dropbox, gdrive) and network protocols (ftp, ssh, hdfs,
    smb...)
  * loading of various file types (currently netcdf4/HDF, grib2, tiff,
    fits, zarr), potentially heterogeneous within a single dataset,
    without a need to go via the specific driver (e.g., no need for
    h5py)
  * asynchronous concurrent fetch of many data chunks in one go,
    amortizing the cost of latency
  * parallel access with a library like zarr without any locks
  * logical datasets viewing many (>~millions) data files, and direct
    access/subselection to them via coordinate indexing across an
    arbitrary number of dimensions
 .
 This package provides the HTML documentation for kerchunk.
lintian 2.116.3+deb12u1 check for python-kerchunk-doc_0.2.9-1_all.deb (click to toggle)
contents of python-kerchunk-doc_0.2.9-1_all.deb (click to toggle)
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lrwxrwxrwx root/root         0 2025-12-28 08:17 ./usr/share/doc/python-kerchunk-doc/html/_static/doctools.js -> ../../../../javascript/sphinxdoc/1.0/doctools.js
lrwxrwxrwx root/root         0 2025-12-28 08:17 ./usr/share/doc/python-kerchunk-doc/html/_static/fonts/Lato-Bold.ttf -> ../../../../../sphinx_rtd_theme/static/fonts/Lato-Bold.ttf
lrwxrwxrwx root/root         0 2025-12-28 08:17 ./usr/share/doc/python-kerchunk-doc/html/_static/fonts/Lato-Bold.woff2 -> ../../../../../sphinx_rtd_theme/static/fonts/Lato-Bold.woff2
lrwxrwxrwx root/root         0 2025-12-28 08:17 ./usr/share/doc/python-kerchunk-doc/html/_static/fonts/Lato-BoldItalic.ttf -> ../../../../../sphinx_rtd_theme/static/fonts/Lato-BoldItalic.ttf
lrwxrwxrwx root/root         0 2025-12-28 08:17 ./usr/share/doc/python-kerchunk-doc/html/_static/fonts/Lato-BoldItalic.woff2 -> ../../../../../sphinx_rtd_theme/static/fonts/Lato-BoldItalic.woff2
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control file for python3-kerchunk_0.2.9-1_all.deb (click to toggle)
Package:python3-kerchunk
Source:kerchunk
Version:0.2.9-1
Architecture:all
Maintainer:Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
Installed-Size:3972
Depends:python3-fsspec, python3-numcodecs, python3-numpy, python3-ujson, python3-zarr, python3:any
Recommends:python3-cfgrib, python3-cftime, python3-h5py, python3-scipy, python3-xarray
Suggests:python3-aiohttp, python3-dask, python3-netcdf4
Section:python
Priority:optional
Homepage:https://github.com/fsspec/kerchunk
Description:
Cloud-friendly access to archival data
 Kerchunk is a library that provides a unified way to represent a
 variety of chunked, compressed data formats (e.g. NetCDF, HDF5, GRIB),
 allowing efficient access to the data from traditional file systems or
 cloud object storage.  It also provides a flexible way to create
 virtual datasets from multiple files.  It does this by extracting the
 byte ranges, compression information and other information about the
 data and storing this metadata in a new, separate object.
 This means that you can create a virtual aggregate dataset over
 potentially many source files, for efficient, parallel and
 cloud-friendly *in-situ* access without having to copy or translate
 the originals. It is a gateway to in-the-cloud massive data processing
 while the data providers still insist on using legacy formats for
 archival storage.
 .
 Features:
 .
  * completely serverless architecture
  * metadata consolidation, so you can understand a many-file dataset
    (metadata plus physical storage) in a single read
  * read from all of the storage backends supported by fsspec,
    including object storage (s3, gcs, abfs, alibaba), http, cloud user
    storage (dropbox, gdrive) and network protocols (ftp, ssh, hdfs,
    smb...)
  * loading of various file types (currently netcdf4/HDF, grib2, tiff,
    fits, zarr), potentially heterogeneous within a single dataset,
    without a need to go via the specific driver (e.g., no need for
    h5py)
  * asynchronous concurrent fetch of many data chunks in one go,
    amortizing the cost of latency
  * parallel access with a library like zarr without any locks
  * logical datasets viewing many (>~millions) data files, and direct
    access/subselection to them via coordinate indexing across an
    arbitrary number of dimensions
lintian 2.116.3+deb12u1 check for python3-kerchunk_0.2.9-1_all.deb (click to toggle)
contents of python3-kerchunk_0.2.9-1_all.deb (click to toggle)
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drwxr-xr-x root/root         0 2025-12-28 08:17 ./usr/
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Timestamp: 28.12.2025 / 11:02:43 (UTC)