Genplot

Genplot 2.0

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Genplot

Genplot 2.0

A graphical data analysis and plotting package for scientists and engineers

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Computer Graphics Service

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Info updated on: Sep 28, 2024

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Genplot: A graphical data analysis and plotting package for scientists and engineers. Designed to meet the requirements of serious researchers unafraid of command line oriented programs. Has every analysis feature I've needed in my research - or that one of my collaborators and friends have convinced me would be useful.

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Dr. Bernardo Gomez (IFIR-Rosario)

The most versatile and fastest scientific software for data processing. I have been using it since a colleague taught me how to use it (1996).

6 months ago Was it helpful? yes(0) no(0) | Reply

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Dr. Bernardo Jose A Gomez

I got to know it thanks to a colleague, Phd Michael Russell, in 1996 and since then I have done all my work thanks to its versatility, speed of calculation and simplicity. I have been able to do everything I have needed for my work and research. I have tried all the other similar software, and yet I always come back to his scripts. Thank you for such good software.

Apr 16, 2024 Was it helpful? yes(0) no(0) | Reply

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Don

A great program. I've been using this for more than 30 years. As I meet new scientists, I learn to use the software they use. So over the years I've learned to use Matlab, Mathematica, Python, and perhaps some others. For all kinds of data analysis, both routine and sophisticated, nothing beats Genplot for its combination of power, simplicity, and efficiency. Commands are easy to remember ("color 2 plot datacurve1 -lt 1 ov datacurve2 -lt 2") The package is tiny, microscopic even, a few megabytes, so less than 1/1000th the size of the bloatware in the other packages. There are things other packages do, like manipulation of non-numerical data sets, that Genplot might not be to do (I don't know), but I can analyze analyze all kinds of numerical data including large arrays and images. Downsides: genplot plotting routines are not as versatile as other scientific data analysis packages. Plotting 3D data is not very good. A surprising upside: macros are easy to implement and run. You can create a macro as a text file, then edit it in Excel as a tab delimited text file, and create massive analyses of many data files. The editing capabilities of Excel to make additions and modifications trivial.

Dec 16, 2023 Was it helpful? yes(0) no(0) | Reply

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