Matrex
Matrex 1.3.8
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Vectorial spreadsheet tool for mathematical models, stats, more.   Free
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Matrex is a vectorial spreadsheet. It gives you the same functionalities of a classic spreadsheet application in a new, different way. Matrex is excellent when working with blocks of data coming from databases, feeds, files, external applications, simulations.

Matrex is the perfect tool for mathematical models and for other statistical, engineering, physical, and generally scientific calculations.

It is strongly multithreaded, expandable and improves readability. Adapters to matlab, scilab, octave, R, are available here.
What's New
Version 1.3.8:
  • [Internal] It uses a reasonable amount of memory when importing large CSV files
  • [GUI] Applied patch of Nikolay Zamosenchuk to fix a performance problem when selecting cells in tables
Requirements
Intel/PPC, Mac OS X 10.4 or later





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Matrex User Discussion (Write a Review)
ver. 1.x:
Your rating: Now say why...
Overall:

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burypromote
Andrea Ferrandi commented on 10 Jul 2009
The purpose of version 1.3.6 was exactly to remove any problems with MacOSX.
Now you can use it with Java 5 (matrex_1_3_6_macosx_32.jar) and Java 6 (matrex_1_3_6_macosx_64.jar) as you can read in http://matrexblog.blogspot.com/2009/06/matrex-136.html .
Please report a bug if there are still problems.
[Version 1.3.6]


burypromote

-3
albion had trouble on 21 Feb 2009
Installs fine, does not execute. OS X 10.5.6 with Java update 3.
[Version 1.3.01]


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Downloads:3,486
Version Downloads:2,019
Type:Education : Mathematics
License:Free
Date:06 Nov 2009
Platform:PPC 32 / Intel 32 / OS X
Price:Free0.00
Overall (Version 1.x):
Features:
Ease of Use:
Value:
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Matrex is a vectorial spreadsheet. It gives you the same functionalities of a classic spreadsheet application in a new, different way. Matrex is excellent when working with blocks of data coming from databases, feeds, files, external applications, simulations.

Matrex is the perfect tool for mathematical models and for other statistical, engineering, physical, and generally scientific calculations.

It is strongly multithreaded, expandable and improves readability. Adapters to matlab, scilab, octave, R, are available here.


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