[guppi-list] Guppi 0.40.3 Released

[Jon Trowbridge <trow gnu org>]

Your Guppi development team is pleased to announce the release of
Guppi 0.40.3, code name "I forget most of it but it was clever".

Guppi is a GNOME-based framework for graphing and interactive data
analysis.

* What's New

	- Miscellaneous bug fixes.
	- The guile dependency has been removed.
	- The distributed .spec file now actually works.
	- We no longer crash on PPC.
	- We can now add/delete series in Gnumeric.
	- Graphs in Gnumeric can now use dates.
	- Rendering fixes to produce crisper-looking graphs.
	- A more sensible marker size range in bubble plots.
	- The code base has been purged of lots of cruft.


* Friends of the Fish

	Roy-Mange Mo, Jonathan Blanford, Greg Leblanc and Adrian Custer
	helped to fix and test the new .spec file.

	Morten Welinder and Etsushi Kato helped resolve the PPC issues.

	Jody Goldberg implemented the cool new Gnumeric stuff.


* Availability

        You can get the Guppi 0.40.3 tarball here:

           http://download.gnome.org/GNOME/stable/sources/Guppi

	An RPM for Red Hat 7.2 is available at:
	
	   http://download.gnome.org/GNOME/stable/redhat/i386/Guppi

	A source RPM is at:
	
	   http://download.gnome.org/GNOME/stable/redhat/SRPMS/Guppi


* Information

        Visit http://www.gnome.org/projects/guppi to learn more about
        Guppi.


* Prerequisites

        Guppi basically requires a complete and fairly up-to-date
        GNOME 1.4 installation, such as Ximian GNOME. You will need to
        have (among other things)

                - bonobo 1.0.8
                - gnome-print 0.28

        installed. 

        To use this version of Guppi to insert graphs into your Gnumeric
        spreadsheets, you *must* have Gnumeric 1.0.3 (or better) with
        Bonobo support installed *before* compiling Guppi.


* Caveats

	Be aware that Guppi is still EXPERIMENTAL software, and
	support for graphs in Gnumeric is still VERY INCOMPLETE.
	Feedback and bug reports are always welcome, but you don't
	need to tell us that lots of features are missing: We already
	know that.