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.
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PyCharm
Score 9.0 out of 10
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PyCharm is an extensive Integrated
Development Environment (IDE) for Python developers. Its
arsenal includes intelligent code completion, error detection, and rapid
problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable
code by offering PEP8 checks, testing assistance, intelligent refactorings, and
inspections. Moreover, it caters to web development frameworks like Django and
Flask by providing framework…
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.
It's easy to create virtual environments and install packages for different projects as we may need project-specific packages for doing our experiments, also it's easy to see what changes we have made and create pull requests faster. But sometimes we want some light python editor like Jupiter notebook as PyCharm is relatively heavier, also Jupiter notebooks are a good option when we need to run remote code on local machines.
Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands.
Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly.
Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless.
Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files.
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.
The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities.
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.
I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
[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.
PyCharm is the best IDE for python development. PyCharm offers various features: source code completion, support for unit testing, integration with Docker/GitLab/Git, ability to manage and configure virtual environments, auto-indentation, and re-factoring code with ease. Support for JSON/Shell scripts and support for Flask/Django Other tools are effective for creating isolated scripts but not for handling projects with more than two scripts.
Buying the licensed pro version is a bit costly, but overall because of its features and its speed, the time taken by a developer to develop something can be improved. Indirectly getting a good return of Investment.
Considering the team size and its features, one can go for the licensed version as the ROI is high.
Customer support is also good for a licensed version, thereby saving the time, which in turn shows ROI as high.
