Caspio vs. Enthought Canopy

Contact forms are incredibly easy to build and customize, as are most other kinds of more involved forms. Forms allow html input and can be designed in a number of ways. It's helpful if you know some HTML. JavaScript knowledge can add advanced options, but is not necessary for the most common uses. The company used to call itself "No-Code," but has changed to say "Low Code," which is much more accurate.

Incentivized

Enthought Canopy is best suites for scripting data analytical concepts. It has a wide range of data analytical libraries and also is good for data visualization. I would not recommend using Enthought Canopy only as an IDE, there may be better options available. If you're looking for a good data simulation & visualization package, Canopy it is.

Incentivized

• Caspio is an online database platform. It allows one to create multiple tables and views to be stored via the web. Tables can be configured to not only hold data but also to hold files like Word docs and images.
• Caspio is great at creating online forms and reports. It allows the user to create forms to capture, update data, whether it's password protected or just a simple form.
• As a database platform, one can create online tables and forms linking multiple tables and views to each other. I would say it is the Microsoft Access of the online platforms.
• The system is very easy. Wizards allow one to create forms, tables, and datapages. Since the platform is online, you may access your database anywhere.

Incentivized

• 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.

• Pricing for additional storage could be a bit more competitive
• The builder wizard is helpful, however there could be a tutorial for first time users
• Calendar pdf exports would be usefull

Incentivized

• Canopy does not support Python 3
• There were times the Python shell crashed, and I would have to restart it
• Some Python libraries are slow.

Incentivized

We are committed to Caspio Bridge. We could migrate to another product, but we would not be able to do so quickly. I estimate that we would need about a year (maybe more) to convert all of our forms and processes if we were to switch to some other product

Incentivized

I've had some instances where my team and I discovered a bug in Caspio. We alerted the company, and the bug was fixed in the next regular update of the software. The few times that I've had to contact support, it was a pretty good experience. They're not terribly quick to respond and take action, but they don't ignore you, either.

Incentivized

GroupHigh is so frustrating to use. It is constantly changing the way you can search for bloggers, and we can never find exactly what we are looking for

Incentivized

Before Canopy with its python we were working with Matlab. We decided for Canopy against Matlab for two reasons: First, we believe that python together with NumPy or SciPy can achieve the objectives with less code and therefore less training, and second the prizes are much lower than matlab which is most robust, expensive and less intuitive. It's clear we are making the comparison with python and it has nothing to with canopy. But with Canopy you feel you have all those tools close together without the problem of configuration, besides a lot of personalized libraries that complements a typical python environment.

• Positive impact of easy of adding new varieties.
• Positive impact of having new emails added directly to email list through Zapier.
• Positive impact on increasing productivity of our staff.

Incentivized

• Its easier to define KPI's with Enthought
• It is good for reiteration and building on top of existing scripts
• Its dedicated Python console makes it easier to execute projects.

Incentivized