Ubuntu
starjava-ttools package

starjava-ttools 3.4-2 source package in Ubuntu

Changelog

starjava-ttools (3.4-2) unstable; urgency=medium

  * Add versioned dependencies for starlink-table and -util

 -- Ole Streicher <email address hidden>  Thu, 04 Feb 2021 22:26:11 +0100

Upload details

Uploaded by:
Debian Astronomy Maintainers
Uploaded to:
Sid
Original maintainer:
Debian Astronomy Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Builds

Hirsute: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
starjava-ttools_3.4-2.dsc 2.9 KiB 73c7b60768a11b996a3f147e457a792536e4cb1d0a024931280e57f03c3bdb5a
starjava-ttools_3.4.orig.tar.xz 3.2 MiB ced51d981e1fbd9c1e4d169be02c4af308fee16e2c559c541ff5af73bb7a6817
starjava-ttools_3.4-2.debian.tar.xz 29.9 KiB 026e287b27caffa6a55681f4e7c81912aac4d2d981f0dd5b04ec5f676e839e77

Available diffs

No changes file available.

Binary packages built by this source

jython-stilts: Starlink Tables Infrastructure Library Tool Set (Jython package)

 The STIL Tool Set is a set of command-line tools based on STIL, the
 Starlink Tables Infrastructure Library. It deals with the processing
 of tabular data; the package has been designed for, but is not
 restricted to, astronomical tables such as object catalogues. Some of
 the tools are generic and can work with multiple formats (including
 FITS, VOTable, CDF, CSV, SQL and ASCII), and others are
 specific to the VOTable format. In some ways, STILTS forms the
 command-line counterpart of the GUI table analysis tool TOPCAT. The
 package is robust, fully documented, and designed for efficiency,
 especially with very large datasets.
 .
 This package contains the Jython package.

starlink-ttools-java: Starlink Tables Infrastructure Library Tool Set (Java library)

 The STIL Tool Set is a set of command-line tools based on STIL, the
 Starlink Tables Infrastructure Library. It deals with the processing
 of tabular data; the package has been designed for, but is not
 restricted to, astronomical tables such as object catalogues. Some of
 the tools are generic and can work with multiple formats (including
 FITS, VOTable, CDF, CSV, SQL and ASCII), and others are
 specific to the VOTable format. In some ways, STILTS forms the
 command-line counterpart of the GUI table analysis tool TOPCAT. The
 package is robust, fully documented, and designed for efficiency,
 especially with very large datasets.
 .
 This package contains the `ttools` Java library used as the
 foundation for STILTS.

starlink-ttools-java-doc: Starlink Tables Infrastructure Library Tool Set (Javadoc)

 The STIL Tool Set is a set of command-line tools based on STIL, the
 Starlink Tables Infrastructure Library. It deals with the processing
 of tabular data; the package has been designed for, but is not
 restricted to, astronomical tables such as object catalogues. Some of
 the tools are generic and can work with multiple formats (including
 FITS, VOTable, CDF, CSV, SQL and ASCII), and others are
 specific to the VOTable format. In some ways, STILTS forms the
 command-line counterpart of the GUI table analysis tool TOPCAT. The
 package is robust, fully documented, and designed for efficiency,
 especially with very large datasets.
 .
 This package contains the JavaDoc documentation.

stilts: No summary available for stilts in ubuntu impish.

No description available for stilts in ubuntu impish.

stilts-doc: Starlink Tables Infrastructure Library Tool Set (documentation)

 The STIL Tool Set is a set of command-line tools based on STIL, the
 Starlink Tables Infrastructure Library. It deals with the processing
 of tabular data; the package has been designed for, but is not
 restricted to, astronomical tables such as object catalogues. Some of
 the tools are generic and can work with multiple formats (including
 FITS, VOTable, CDF, CSV, SQL and ASCII), and others are
 specific to the VOTable format. In some ways, STILTS forms the
 command-line counterpart of the GUI table analysis tool TOPCAT. The
 package is robust, fully documented, and designed for efficiency,
 especially with very large datasets.
 .
 This package contains the documentation.