glueviz 1.0.1+dfsg-1 source package in Ubuntu


glueviz (1.0.1+dfsg-1) unstable; urgency=medium

  * New upstream release (1.0.1)
  * debian/control: Add jupyter-client as package dependency
  * Refresh debian/patches

 -- Josue Ortega <email address hidden>  Mon, 18 Jan 2021 19:22:18 -0600

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Uploaded by:
Debian Astronomy Maintainers
Uploaded to:
Original maintainer:
Debian Astronomy Maintainers
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Impish release universe misc
Hirsute release universe misc


Hirsute: [FULLYBUILT] amd64


File Size SHA-256 Checksum
glueviz_1.0.1+dfsg-1.dsc 2.4 KiB f4810562e47fd0814020e27a78cd6d3255a2116e6eb5880ed00ca307008b0229
glueviz_1.0.1+dfsg.orig.tar.gz 22.2 MiB 6efb4a093de49d0dcd803273ed13b625348b7557b25c633e55c28a2694b8245e
glueviz_1.0.1+dfsg-1.debian.tar.xz 13.9 KiB 984b046f5607d6fedf94cbbc368bd44767f044c9bdc3528ddfe35030782f060f

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Binary packages built by this source

glueviz: Linked data visualization

 Glue is a Python project to link visualizations of scientific datasets across
 many files. Some of its features are:
  * Interactive, linked statistical graphics of multiple files.
  * Support for many file formats including common image formats,
    ascii tables, astronomical image and table formats (fits, vot, ipac), and
    HDF5. Custom data loaders can also be easily added.
  * Highly scriptable and extendable.

python3-glue: Python 3 library for data interaction

 python3-glue is a Python library for data interaction, it blurs the boundary
 between GUI-centric and code-centric data exploration.
 There are many ways to leverage Glue from Python. Among other things, you can
 write code to do the following:
  * Send data in the form of NumPy arrays or Pandas DataFrames to Glue for
  * Write startup scripts that automatically load and clean data,
    before starting Glue.
  * Write custom functions to parse files, and plug these functions into the
    Glue GUI.
  * Write custom functions to link datasets, and plug these into the Glue GUI.
  * Create your own visualization modules.