Users report that AWS Cloud9 offers robust multi-language support, particularly excelling in JavaScript and Python, while The Jupyter Notebook is noted for its strong capabilities in data science and machine learning, primarily supporting Python and R.
Reviewers mention that AWS Cloud9's file management system is intuitive, allowing for easy navigation and organization of files, whereas users on G2 highlight that The Jupyter Notebook's file management can be less straightforward, especially when dealing with multiple notebooks.
G2 users say that AWS Cloud9 shines in its ease of setup, with a rating of 8.4, making it accessible for new users, while The Jupyter Notebook has a higher ease of use rating at 9.1, indicating a smoother experience once set up.
Reviewers mention that AWS Cloud9 provides excellent patching and updates, with a score of 8.2, ensuring users have the latest features and security, while The Jupyter Notebook has a slightly higher score of 8.3, indicating a reliable update process as well.
Users say that AWS Cloud9's customization options are somewhat limited, scoring 7.8, which can restrict advanced users, while The Jupyter Notebook offers more flexibility in customization, scoring 8.2, allowing users to tailor their environment more effectively.
Reviewers report that both platforms have solid help guides, but The Jupyter Notebook edges out with a score of 8.2 compared to AWS Cloud9's 8.4, indicating that users find the documentation for Jupyter more comprehensive for troubleshooting and learning.
Pricing
Entry-Level Pricing
AWS Cloud9
No pricing available
The Jupyter Notebook
No pricing available
Free Trial
AWS Cloud9
No trial information available
The Jupyter Notebook
No trial information available
Ratings
Meets Requirements
8.8
230
8.9
204
Ease of Use
8.7
233
9.1
205
Ease of Setup
8.5
107
9.1
45
Ease of Admin
8.6
67
8.8
30
Quality of Support
8.5
217
8.4
169
Has the product been a good partner in doing business?
Do you have any plans to keep allowing users to save jupyter notebooks without obligating them to use "cloud services"?
1 Comment
TM
I always encourage students to have a local copy. I just wish there was an easier way to run it locally on Win10/Mac. Anaconda makes it simpler but it is...Read more
What are the features of Jupyter notebook?
1 Comment
DG
1.Code cells for writing and editing code.
2.Markdown cell for writing comments and/or code functions.
3.Raw Jupyter NBConvert cells.
4.A support for...Read more
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