Jupyter Notebook vs. Notepad++

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Jupyter Notebook
Score 8.4 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
Notepad++
Score 9.0 out of 10
N/A
Notepad++ is a popular free and open source text editor available under the GPL license, featuring syntax highlighting and folding, auto-complete, multi-document management, and ac customizable GUI.N/A
Pricing
Jupyter NotebookNotepad++
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Jupyter NotebookNotepad++
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
Community Pulse
Jupyter NotebookNotepad++
Features
Jupyter NotebookNotepad++
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Jupyter Notebook
9.0
22 Ratings
8% above category average
Notepad++
-
Ratings
Connect to Multiple Data Sources10.022 Ratings00 Ratings
Extend Existing Data Sources10.021 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
7.0
22 Ratings
19% below category average
Notepad++
-
Ratings
Visualization6.022 Ratings00 Ratings
Interactive Data Analysis8.022 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Jupyter Notebook
9.5
22 Ratings
15% above category average
Notepad++
-
Ratings
Interactive Data Cleaning and Enrichment10.021 Ratings00 Ratings
Data Transformations10.022 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
9.3
22 Ratings
10% above category average
Notepad++
-
Ratings
Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
Automated Machine Learning9.218 Ratings00 Ratings
Single platform for multiple model development10.022 Ratings00 Ratings
Self-Service Model Delivery8.020 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Jupyter Notebook
10.0
20 Ratings
16% above category average
Notepad++
-
Ratings
Flexible Model Publishing Options10.020 Ratings00 Ratings
Security, Governance, and Cost Controls10.019 Ratings00 Ratings
User Ratings
Jupyter NotebookNotepad++
Likelihood to Recommend
10.0
(23 ratings)
8.7
(62 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(1 ratings)
Usability
10.0
(2 ratings)
9.2
(4 ratings)
Support Rating
9.0
(1 ratings)
8.1
(15 ratings)
User Testimonials
Jupyter NotebookNotepad++
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
well suited for 1) Coding and Development - Writing and editing code, Quick prototyping and testing of code snippets, Debugging and inspecting code using syntax highlighting and line numbering, 2) web development - Creating and editing HTML, CSS, JavaScript, and other web-related files .Managing and organizing web projects with multiple files and directories. Not suited for - 1) processing huge files 2) graphic designing 3) complex gui designs 3) Data Analysis and Manipulation - Editing and cleaning up text-based data files before importing them into analytical tools. Applying regular expressions to extract, transform, and manipulate data. 4) System Administration and IT - change system configuration file
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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
  • Notepad++ allows us to keep open files in tabs. Like in a web browser, these tabs let us access these files quickly and easily. Furthermore, even if we forget to save the files when closing the program or shutting down the PC, Notepad++ retains them in the open tabs when we reopen it.
  • Notepad++ supports many different file types. We usually save our files created in Notepad as normal text files, but sometimes as JSON, PHP, and HTML files.
  • Notepad++ is lightweight and requires little resources. Using it is snappy and responsive.
  • The developer of Notepad++ frequently updates the software with bug fixes, performance improvements and new features.
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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
  • UI looks a bit dated.
  • Sometimes the number of options are overwhelming and require a quick search to figure out where to locate a particular function.
  • Some way to do a diff between files would be great. Still need to resort to another paid app for that - unless it is a buried function I don't know about or there's a plugin for it.
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Likelihood to Renew
Open Source
No answers on this topic
Open Source
I use it every day for 13 years already and it never disappointed me
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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
There are lot of features to talk about. Especially the usability is good. Everyone can easily to use and user-friendly. Can also update easily. Can also write and execute the programming languages like C, C++ etc. Encoding is also the major feature that helps me a lot and converter as well.
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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
I haven't needed to utilize any support related to Notepad++. I guess this is a good thing because I found it to be quite intuitive. There are almost infinite features you can tweak and plugins you can download but I haven't had to do that because Notepad++ is really good right out of the box.
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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
Notepad for Windows, Microsoft Word...LibreOffice Writer....I have used all of these for code writing and editing. Once again I like the universal feel of Notepad++. Basic Notepad, is just that, basic...and kind of clunky for what it is. This is a cool that I have installed on all my computers and also keep it on a thumb drive if I need it elsewhere.
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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
  • Productivity has increased for developers.
  • It's free so instead of buying a piece of software, you can use this to replace many of them that may only specialize in one thing.
  • It gives our developers confidence knowing they have such a reliable, free tool at their disposal.
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ScreenShots