Jupyter Notebook vs. Vim

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Jupyter Notebook
Score 8.9 out of 10
N/A
Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A
Vim
Score 9.7 out of 10
N/A
Vim is an open source configurable text editor.N/A
Pricing
Jupyter NotebookVim
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Jupyter NotebookVim
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
Features
Jupyter NotebookVim
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Jupyter Notebook
8.5
21 Ratings
1% above category average
Vim
-
Ratings
Connect to Multiple Data Sources9.021 Ratings00 Ratings
Extend Existing Data Sources9.220 Ratings00 Ratings
Automatic Data Format Detection8.514 Ratings00 Ratings
MDM Integration7.415 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Jupyter Notebook
9.6
21 Ratings
13% above category average
Vim
-
Ratings
Visualization9.621 Ratings00 Ratings
Interactive Data Analysis9.621 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Jupyter Notebook
9.0
21 Ratings
9% above category average
Vim
-
Ratings
Interactive Data Cleaning and Enrichment9.320 Ratings00 Ratings
Data Transformations8.921 Ratings00 Ratings
Data Encryption8.514 Ratings00 Ratings
Built-in Processors9.314 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Jupyter Notebook
8.9
21 Ratings
5% above category average
Vim
-
Ratings
Multiple Model Development Languages and Tools9.020 Ratings00 Ratings
Automated Machine Learning9.218 Ratings00 Ratings
Single platform for multiple model development9.221 Ratings00 Ratings
Self-Service Model Delivery8.020 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Jupyter Notebook
8.8
19 Ratings
3% above category average
Vim
-
Ratings
Flexible Model Publishing Options8.819 Ratings00 Ratings
Security, Governance, and Cost Controls8.718 Ratings00 Ratings
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Jupyter NotebookVim
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Score 8.2 out of 10
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Score 8.2 out of 10
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Score 9.1 out of 10
Enterprises
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Score 7.8 out of 10
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Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Jupyter NotebookVim
Likelihood to Recommend
8.4
(22 ratings)
10.0
(9 ratings)
Usability
10.0
(1 ratings)
8.0
(1 ratings)
Support Rating
9.0
(1 ratings)
6.0
(5 ratings)
User Testimonials
Jupyter NotebookVim
Likelihood to Recommend
Open Source
I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
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Open Source
I would recommend Vim in any scenario where text files have to be viewed, created, or edited on GNU/Linux computers. Regardless if you need to quickly change a few things in a configuration file, or you need to write up a full document, Vim is great. I wouldn't use Vim to view, edit, or create anything that requires "rich-text". In other words, if you need to format the text (bolding, font colours, word-art, etc), then Vim isn't the tool to use.
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Pros
Open Source
  • Simple and elegant code writing ability. Easier to understand the code that way.
  • The ability to see the output after each step.
  • The ability to use ton of library functions in Python.
  • Easy-user friendly interface.
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Open Source
  • The efficient modal editing makes it very fast to write/edit code as I think of it.
  • The customization and wide range of plugins let me do very specific things and automate parts of my workflow.
  • The fact that it runs inside a terminal simplifies my window management and just becomes another Tmux window in my workflow.
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Cons
Open Source
  • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
  • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.
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Open Source
  • Without a doubt the hardest program to learn. It is a completely different paradigm of thinking compared to other editors
  • By default it doesn't have lots of fancy features you would find in larger IDE programs like code completion and linking
  • It lives in the command line so a user has to be comfortable with this interface
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Usability
Open Source
Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
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Open Source
I don't consider the steep learning curve to be a hinderance on the overall usability. I would rate this a ten, but to be honest a lot of people do get hung up at the beginning and just abandon it. However, for people who have made the moderate effort to get over the hump, nothing can be more usable.
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Support Rating
Open Source
I haven't had a need to contact support. However, all required help is out there in public forums.
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Open Source
There is no commercial support for Vim. Thus, it will not get a mark beyond 5. However, community support is very good. You can easily find solutions for most of the problems in the community.
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Alternatives Considered
Open Source
With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
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Open Source
Vim's keybindings are a lot more complex than Notepad++. With that, comes a whole bunch of capability that Notepad++ just can't match. Emacs is comparable, in terms of capabilities--because Vim is built into so many unix systems, I chose to learn it instead of Emacs. Knowing both probably isn't a bad idea, but there's enough to learn in either camp to keep you busy
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Return on Investment
Open Source
  • Positive impact: flexible implementation on any OS, for many common software languages
  • Positive impact: straightforward duplication for adaptation of workflows for other projects
  • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
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Open Source
  • It always increases productivity.
  • Sometimes feature discovery is not easy. It could be documented well like how to install a plugin and if it supported well or not.
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ScreenShots