Spyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.
$0
per month
The Welkin Suite
Score 9.0 out of 10
N/A
The Welkin Suite offers an integrated development environment with 105 features (and growing). The vendor aims to help you automate the chores of development, and therefore enhance your coding velocity and increase the quality of your deliverable code.
Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.
Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.
Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.
The Welkin Suite is a great IDE compared to the alternatives out there. If you need to code in Salesforce and you want a mostly seamless environment, then The Welkin Suite is the best option available, in my opinion. I have also been using it for Apex Tests and find that the tools are really good for measuring code coverage and highlighting those areas that are uncovered.
It would be nice if IDE feature releases were timed to coincide with Salesforce releases (i.e. make Lightning Web Components available on the day they become available in Salesforce instances).
The IDE can be a bit buggy especially when you have several windows of the IDE open to different Salesforce instances at the same time on one machine.
Sometimes, when you click to retrieve your data too soon, before the program has a chance to ask you to connect to the instance, it can cause the IDE to freeze.
It is fairly straightforward to use. Pretty much good to go as soon as you install it. The IDE itself is very user friendly, and it is only limited by whatever limitations Python has as a language. Great for those who want to run their scripts quickly or do some Python programming without fussing.
Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
In general, when you need support there is someone there to give you an answer. I think there could be an improvement in this area, but it's hard to provide a substantial amount of support for a product that is charging roughly $15 a month. Do I feel I get more than $15 worth of support value when I need to request it? Yes.
I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors