Data analysis and scientific applications with python integrated in a beautifully designed environment.
Pros
- Providing scientific libraries, both open source and Enthought's own libraries which are excellent.
- Training. They provide several courses in python for general use and for data analysis.
- Debugging tools. Several IDEs provides tools for debugging, but I think they are insufficient or too general. Canopy has a special debugging tool, specially design for python.
Cons
- Lack of python 3 support. I hope this will chance in the near future.
- Canopy is perfect for scientific application, but it would be even more perfect if they include more general purpose libraries.
Return on Investment
- Canopy increased our efficiency in processing , analyzing and plotting our data.
- Canopy reduced the cost of developing several libraries.

