All the data visualization in my master's thesis was done by Igor pro. All the plots and graphs were done using this software. It was difficult at the beginning but I got faster with it day by day.

- The whole array of functions available there are quite useful

- Steep learning curve. It takes time to get used to it.

I have used Igor (and Igor Pro) for over 20 years. I used it to control data acquisition and analysis for laboratory instrumentation, spectral series analysis and most recently to control and acquire data from semiconductor wafer probing.

The extensive programming capability of Igor Pro means that data can be explored by hand or a complete analysis work flow can be programmed. The programming language is "C" like and very fast. Many data analysis routines/techniques are included and publication quality graphics are easy to create. GPIB interface integration allows programming of data acquisition all the way to data analysis. Dynamic interaction with graphs and maps make Igor a powerful tool for data mining.

I would like to see easier integration of Igor Pro with SQL databases.

I use IGOR Pro everyday for data regarding atmospheric chemistry and air pollutant levels and it is very efficient in processing large amounts of data.

As an atmospheric chemist, IGOR is the best program to use because it is compatible with instruments that collect data. It is super intuitive and the code is very easy to understand and read. You can easily pick it up by reading some code after a week or two. If you don't want to code, you can also click around to do what you want, and the code will appear in the command line which you can take note of to learn how to code. Plots look very professional.

It would be great if the online community for it was bigger to help solve problems.

We have a project that needs to analyze a huge amount of pictures, fitting and subtract the main parameter to track dynamic changes. Igor Pro can do the analysis very efficiently. We have another principal investigator that works on the Macintosh system and we can share the results and update codes without any problem.

It will take a while to learn the language and adapt to it.

It was very straightforward to use, very competent for chemical kinetics data fitting.

Very expensive! Not extremely versatile and customization.

This software was effective in analyzing SAXS data to help characterize the distribution of nanoparticles in solution and enables you to implement system parameters

The software had a steep learning curve but this is also due to the fact that the theory and math behind the analysis is cumbersome.

The combination of Macro-programming and the ability to perform numerical operations with the ability to create good user interfaces has been very useful, allowing me to create high-quality scientific graphics.

When I started using it I did it specifically to do time series analysis with a high volume of data. Looking for trends, seasonality, etc.

The support of the libraries and the incorporated functions are much smaller than similar programs like Matlab, for example.