Users report that "The Jupyter Notebook" excels in its interactive computing capabilities, allowing for real-time code execution and visualization, which is particularly beneficial for data analysis and educational purposes.
Reviewers mention that "Spyder" offers a more integrated development environment (IDE) experience, with features like variable exploration and a built-in console, making it easier for users to manage their coding projects.
G2 users highlight that "The Jupyter Notebook" has a strong community support system, with extensive help guides and resources available, which enhances the learning curve for new users.
Users on G2 report that "Spyder" shines in its file management capabilities, allowing for better organization of scripts and projects, which is crucial for larger coding tasks.
Reviewers say that while both products have similar ease of use ratings, "Spyder" has a slight edge in setup ease, making it quicker for users to get started with their coding projects.
Users mention that "The Jupyter Notebook" has a more flexible approach to multi-language support, but "Spyder" provides a more robust experience for Python development specifically, catering to users focused on that language.
Pricing
Entry-Level Pricing
The Jupyter Notebook
No pricing available
spyder download
No pricing available
Free Trial
The Jupyter Notebook
No trial information available
spyder download
No trial information available
Ratings
Meets Requirements
8.9
205
8.8
49
Ease of Use
9.1
206
9.1
50
Ease of Setup
9.1
46
9.6
8
Ease of Admin
8.8
30
8.1
7
Quality of Support
8.4
170
8.1
43
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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