AWS Cloud9 vs. Python IDLE

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Cloud9
Score 8.3 out of 10
N/A
AWS Cloud9 is a cloud-based integrated development environment (IDE) used to write, run, and debug code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, and PHP, with no need to install files or configure a development machine to start new projects.N/A
Python IDLE
Score 8.7 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.
$0
Pricing
AWS Cloud9Python IDLE
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Cloud9Python IDLE
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Best Alternatives
AWS Cloud9Python IDLE
Small Businesses
PyCharm
PyCharm
Score 9.0 out of 10
PyCharm
PyCharm
Score 9.0 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.0 out of 10
PyCharm
PyCharm
Score 9.0 out of 10
Enterprises
PyCharm
PyCharm
Score 9.0 out of 10
PyCharm
PyCharm
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Cloud9Python IDLE
Likelihood to Recommend
7.8
(8 ratings)
2.0
(6 ratings)
Usability
8.0
(2 ratings)
10.0
(1 ratings)
Support Rating
8.0
(2 ratings)
8.0
(1 ratings)
User Testimonials
AWS Cloud9Python IDLE
Likelihood to Recommend
Amazon AWS
When I am working with a large team of developers. Also, when a security policy, you are not allowed to install any app on your laptop. Cloud 9 is well integrated with Cloud commit. So we don't have to spend time in configurations.
Read full review
Python Software Foundation
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.
Read full review
Pros
Amazon AWS
  • It provides an extremely intuitive and easy-to-use interface, so adapting to it does not take much time.
  • It contains the most common programming languages.
  • It allows the export of files, either directly to the repository or to the team where you want it.
  • It is housed in the cloud so you can work with it from anywhere.
  • Allows you to share code or work on them with others in real-time.
  • Does not require installation.
Read full review
Python Software Foundation
  • Firstly, I would say Python IDLE interface is user friendly.
  • Easy to learn for the beginners.
  • Syntax highlighting is nice features.
  • Smart indent helps a lot.
Read full review
Cons
Amazon AWS
  • Confusing documentation - AWS's documentation remains quite confusing, and the layout of other services/settings that you have to use with Cloud9 can be a bit of a handful.
  • Sometimes slow - As the size of a project increases, the editor gets increasingly slower, and starts slowing down the browser overall.
  • Long setup process - The setup for Cloud9 can be hard and tough, especially since the documentation is quite hard to understand.
Read full review
Python Software Foundation
  • 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)
Read full review
Usability
Amazon AWS
The interface for Cloud9 needs some improvement. It is simply not as powerful and intelligent as a local text editor would be and thus it lacks the capabilities of fast filling when coding. Otherwise, I think it has a fair interface that they have tried mimicking an IDE.
Read full review
Python Software Foundation
The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.
This IDE allows you to configure the environment, font, size, colors, .....
It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.
Once the IDE is executed you can start programming directly in it.
Read full review
Support Rating
Amazon AWS
Customer support is managed by the Cloud support team. I won't be able to comment on details, but it's fast.
Read full review
Python Software Foundation
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.
Read full review
Alternatives Considered
Amazon AWS
[AWS] Cloud9 offers specific features not available in the competition: Code collaboration using the chat features is the highlight which sets it apart. [The] code completion feature makes [it] very similar to the offline IDE like eclipse. It's much easier to use compared to Codeanywhere. It provides terminal access to EC2 instances and hence other amazon services.
Read full review
Python Software Foundation
It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter Notebook on my cloud desktop
Read full review
Return on Investment
Amazon AWS
  • We save time since we do not need to configure files or our equipment.
  • We have the most appropriate tools for software development in one place.
  • We can work from anywhere so if that day we could not get to our office or something we can do from home.
  • We can code with a single browser.
Read full review
Python Software Foundation
  • 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.
Read full review
ScreenShots