Why another processing package ?
Anyone who has ever done NMR has had the problem at some point or another that a problem has occurred during an experiment and that that dataset was corrupted because of that. Now what do you do when you are using a commercial processing package ? Very simple: you redo the experiment because the processing software does not allow you to do what has to be done.
The need for flexibility is therefore one of the reasons matNMR has been written. Another reason is that you never get nice pictures when you use a commercial program, because you always want something that just isn't supported by the program. What do you do ?
Yet again matNMR offers a solution by using Matlab's vast set of graphics routines ...

MatNMR is more than a static program that can be used only for processing data. It offers a wide variety of commonly-used processing techniques for 1D and 2D spectra and combines these with the powerful graphical and numerical possibilities of MATLAB. Basically the concept of matNMR is that the user can do what ever he likes at any time. So without ever losing the capabilities that MATLAB has to offer or crashing matNMR.
Only minor knowledge of Matlab is required to operate matNMR, although to be most efficient, good knowledge of Matlab is naturally very helpful.
If you want to use your own functions, change plots manually, manipulate matrices while still having all matNMR windows opened, that's also fine!
Because the most important word when talking about matNMR is: Flexibility.

Here is just a selection of what is supported in version 2.5 and higher :

MatNMR is completely GUI!

Full processing capacilities for 1D and 2D spectra (real, TPPI, STATES, (whole) echo)

Several filters to read in data from various types of spectrometers

Semi-automatic and manual Baseline corrections for 1D and 2D spectra

Two types of linear prediction for 1D and 2D spectra

Shearing transformation for 2D spectra in time and frequency domain

Symmetrizing of 2D spectra

Peak picking in 2D spectra

Peak Fitting of (arrays of) 1D spectra

T1 Fitting (arbitrary exponential functions)

A wide variety of functions for creating (multiple) 2D contour, 3D mesh plots, stack plots and raster plots

Drop-down menus for easy manipulating of plots

Easy printing of plots

A Processing history is recorded during processing

Full reprocessing capabilities from the processing history

No need to save large spectra on disk,

No need to keep track of processing parameters in lab journals.

Just connect the processing history to the FID and save this to disk, for later use.

Reload the FID from disk and reprocess to regain the same spectrum again!

If there is anything that needs to be added quickly: IT CAN BE DONE

And that is where matNMR beats any commercial package

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