Python IDLE vs. Spyder

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Python IDLE
Score 8.9 out of 10
N/A
Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.N/A
Spyder
Score 8.2 out of 10
N/A
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.N/A
Pricing
Python IDLESpyder
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Python IDLESpyder
Free Trial
NoNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Python IDLESpyder
Best Alternatives
Python IDLESpyder
Small Businesses
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Enterprises
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Python IDLESpyder
Likelihood to Recommend
3.2
(0 ratings)
8.0
(0 ratings)
Usability
8.2
(0 ratings)
8.0
(0 ratings)
Support Rating
8.0
(0 ratings)
8.0
(0 ratings)
User Testimonials
Python IDLESpyder
Likelihood to Recommend
IDLE is a good option to run small scripts directly on the console, and that's it. It is a good exit when you don't want or need to open a proper IDE like Pycharm.
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Spyder is well suited if you're limited on hardware. You have to work with single code file. You need to quickly write some code and test it. Apart from this if you want to have a look at your variables then you can make use of Spyder. If you're working with Anaconda navigator then this can be the best to start with as it can be installed with single click there.
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Pros
  • The best thing is the debug that incorporates.
  • Friendly graphic environment.
  • Provide keyword auto-fill.
  • Color the command syntax automatically.
  • Very configurable.
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  • Debugging of your existing code
  • Generates figures very quickly as part of a figures tab which lets users understand results quickly
  • Different layouts are available for the software which will give the users freedom to decide what layout works best for them
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Cons
  • Too simplistic
  • Could not find source revision management integration support
  • Only basic debugging is available
  • Does not have data-science-specific notebooks (but can be installed separately)
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  • Colors in code format
  • Add a broadcast to share the project with friends
  • Contains more than one important language such as Python
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Usability
1-Ease of use: python IDLE is relatively ease to use,especially for developers familiar with python. Its simple and intuitive interface makes it easy to navigate and find basic features 2- learnability:python IDLE is relatively easy to learn especially for developers with prior experience with python or other programming Languages 3- efficiency: Python IDLE efficiency is limited by its basic feature set and lack of advanced tools.while it’s great for rapid prototyping and small scale developers
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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.
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Support Rating
Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
As this IDE is made in Python, the support is the same group of Python developers.
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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.
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Alternatives Considered
I chose python IDLE for its simplicity and ease of use, which made it ideal for rapid prototyping and small scale development future sets: while python IDLE offers a basic set of features, including syntax highlighting, auto completion and basic debugging tools Performance :python IDLE is relatively lightweight and doesn’t require significant system resources, making it an excellent choice for older machines or resources constrained environment
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I have chosen Spyder because it's free and open-source that comes with properly documented comments in the code. I have been using Spyder for more than 2 years and it always feels good to work with Spyder every time start my work. In Spyder, we have three windows one for man code window, idle window, and the other is for running your code and analyze. So to test a particular code I use the idle window to see what is going to be the result when I use this set of codes. That the main reason, I use Spyder.
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Return on Investment
  • In a short time, we were able to develop several ML models for various teams to make accurate decisions.
  • Beginners can easily understand and adapt to GUI.
  • We could automate several manual validation tasks and so could reduce human intervention.
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  • Less time spent on employee training.
  • Limited integration with Git.
  • No tools for repository.
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ScreenShots