AWS Cloud9 vs. Spyder

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Cloud9
Score 8.6 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
Spyder
Score 8.5 out of 10
N/A
Spyder is a scientific environment for Python, built for scientists, engineers and data analysts. It combines advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with data exploration, interactive execution, deep inspection, and visualization capabilities similar to a scientific package. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.N/A
Pricing
AWS Cloud9Spyder
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Cloud9Spyder
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
AWS Cloud9Spyder
Small Businesses
PyCharm
PyCharm
Score 9.3 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.3 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
Enterprises
PyCharm
PyCharm
Score 9.3 out of 10
PyCharm
PyCharm
Score 9.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Cloud9Spyder
Likelihood to Recommend
7.1
(9 ratings)
9.8
(7 ratings)
Usability
8.0
(2 ratings)
-
(0 ratings)
Support Rating
8.0
(3 ratings)
8.0
(4 ratings)
User Testimonials
AWS Cloud9Spyder
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.
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Open Source
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.
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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.
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Open Source
  • 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
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.
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Open Source
  • 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
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.
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Open Source
No answers on this topic
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.
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Open Source
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
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.
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Open Source
It is not fair to say that Spyder takes upward from all these IDE's, but likewise Jupyter Notebook is also useful for the Python programming purpose. But as the visual studio it is more suitable and also helps in collaboration work, but Spyder has the limitations working with git and other stuff.
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Return on Investment
Amazon AWS
  • Positive: No need to buy additional hardware to serve as buffer.
  • Negative: Service downtime causes significant productivity losses.
  • Negative: Users get locked into a certain subset of tools, which are not always appropriate.
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Open Source
  • Less time spent on employee training.
  • Limited integration with Git.
  • No tools for repository.
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ScreenShots