Difference between revisions of "Paraview"
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====Type of Data==== | ====Type of Data==== | ||
| − | + | Will accept multiple data types | |
====Size of Data Set==== | ====Size of Data Set==== | ||
| − | + | Respondents have processed data sets of up to a few TB | |
====Advantages==== | ====Advantages==== | ||
| − | + | *Good performance | |
| + | *Free | ||
====Quality of Documentation/Tutorials==== | ====Quality of Documentation/Tutorials==== | ||
| − | + | Good/Excellent documentation | |
====Range of Data Formats==== | ====Range of Data Formats==== | ||
| − | + | "the major formats can be read" | |
====Level of Support Available==== | ====Level of Support Available==== | ||
| − | + | Good support is available.Tutorials and a user guide are available on the website. The developers also host a mailing list. | |
====Performance==== | ====Performance==== | ||
| − | + | Performance is good, provided that sufficient memory is available for the data set - it can be run over multiple nodes to provide this. | |
====Limitations==== | ====Limitations==== | ||
| − | + | Remote connections with X system is slow. | |
====Comments==== | ====Comments==== | ||
| + | The comments only reitereted points made previously: it is free and open source | ||
Latest revision as of 12:59, 24 November 2014
[ParaView] "is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView’s batch processing capabilities.
ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of petascale size as well as on laptops for smaller data, has become an integral tool in many national laboratories, universities and industry, and has won several awards related to high performance computation."
Contents
Type of Data
Will accept multiple data types
Size of Data Set
Respondents have processed data sets of up to a few TB
Advantages
- Good performance
- Free
Quality of Documentation/Tutorials
Good/Excellent documentation
Range of Data Formats
"the major formats can be read"
Level of Support Available
Good support is available.Tutorials and a user guide are available on the website. The developers also host a mailing list.
Performance
Performance is good, provided that sufficient memory is available for the data set - it can be run over multiple nodes to provide this.
Limitations
Remote connections with X system is slow.
Comments
The comments only reitereted points made previously: it is free and open source
