Difference between revisions of "Q6"
From Viz Matters
Tim Morris (Talk | contribs) |
Tim Morris (Talk | contribs) |
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#[[gnuplot]] - 5 replies | #[[gnuplot]] - 5 replies | ||
#[[Materials Studio]] - 3 replies | #[[Materials Studio]] - 3 replies | ||
| − | #Matlab - 3 replies, but is not discussed in this section as the responses are extremely similar. | + | #Matlab - 3 replies, but is not discussed in this section as the responses are extremely similar to those in question 5. |
#[[Paraview]] - 3 replies | #[[Paraview]] - 3 replies | ||
| − | #PyMol - 3 replies, | + | #PyMol - 3 replies, also not discussed here. |
| − | #VMD - 3 replies, | + | #VMD - 3 replies, also not discussed here. |
Other tools that had two responses: | Other tools that had two responses: | ||
Revision as of 11:37, 24 November 2014
Comments on the respondents' second most used visualisation tool.
47 replies were given.
The most commonly used tools, with links to answers are:
- gnuplot - 5 replies
- Materials Studio - 3 replies
- Matlab - 3 replies, but is not discussed in this section as the responses are extremely similar to those in question 5.
- Paraview - 3 replies
- PyMol - 3 replies, also not discussed here.
- VMD - 3 replies, also not discussed here.
Other tools that had two responses:
- CCPN Analysis
- Discovery Studio
- IMOD
- JMOL
- Vesta
- Visit
- xmgrace
Overall
A few observations can be drawn from these responses:
- Users will prefer software that is written specifically for their domain of interest.
- Large datasets must be handled efficiently.
- Scripting or other ability to extend the tool is required.
- Publication quality output is a valued bonus.
