IntelliJ IDEA is an IDE that aims to give Java and Kotlin developers everything they need out of the box, including a smart code editor, built-in developer tools, framework support, database support, web development support, and much more.
$19.90
per month
Jupyter Notebook
Score 8.5 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
Pricing
IntelliJ IDEA
Jupyter Notebook
Editions & Modules
For Individual Use (Monthly billing)
$19.90
per month
For Organizations (Monthly billing)
$71.90
per month
For Individual Use (Yearly billing)
$199
per year
For Organizations (Yearly billing)
$719
per year
No answers on this topic
Offerings
Pricing Offerings
IntelliJ IDEA
Jupyter Notebook
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
All Products Pack (For Individual Use) – $299 /1st year, $ 239 /2nd year and $ 179 /3d year onwards
All Products Pack (For Organizations) – $979 / year
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More Pricing Information
Community Pulse
IntelliJ IDEA
Jupyter Notebook
Features
IntelliJ IDEA
Jupyter Notebook
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
IntelliJ IDEA
-
Ratings
Jupyter Notebook
9.0
22 Ratings
8% above category average
Connect to Multiple Data Sources
00 Ratings
10.022 Ratings
Extend Existing Data Sources
00 Ratings
10.021 Ratings
Automatic Data Format Detection
00 Ratings
8.514 Ratings
MDM Integration
00 Ratings
7.415 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IntelliJ IDEA
-
Ratings
Jupyter Notebook
7.0
22 Ratings
19% below category average
Visualization
00 Ratings
6.022 Ratings
Interactive Data Analysis
00 Ratings
8.022 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
IntelliJ IDEA
-
Ratings
Jupyter Notebook
9.5
22 Ratings
15% above category average
Interactive Data Cleaning and Enrichment
00 Ratings
10.021 Ratings
Data Transformations
00 Ratings
10.022 Ratings
Data Encryption
00 Ratings
8.514 Ratings
Built-in Processors
00 Ratings
9.314 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
IntelliJ IDEA
-
Ratings
Jupyter Notebook
9.3
22 Ratings
10% above category average
Multiple Model Development Languages and Tools
00 Ratings
10.021 Ratings
Automated Machine Learning
00 Ratings
9.218 Ratings
Single platform for multiple model development
00 Ratings
10.022 Ratings
Self-Service Model Delivery
00 Ratings
8.020 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
This is a superb tool if your project involves a lot of backend development, especially in Java/Spring Boot and Kotlin. The support for the front end is great as well, but some developers may prefer to use the GitHub copilot add-on. I especially love using the GitHub copilot add-on. It may be less appropriate if your project requires heavy use of HotSwaps for backend debugging, as sometimes the support for that can be limited.
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.
Unit testing: Fully integrated into IntelliJ IDEA. Your unit tests will run smoothly and efficiently, with excellent debugging tools for when things get tricky.
Spring integration: Our Spring project using Maven works flawlessly in IntelliJ IDEA. I know firsthand that Apache is also easily and readily supported too. The integration is seamless and very easy to set up using IntelliJ IDEA's set up wizard when importing new projects.
Customization: IntelliJ IDEA comes out of the box with a bunch of handy shortcuts, as well as text prediction, syntax error detection, and other tools to help keep your code clean. But even better is that it allows for total customization of shortcuts you can easily create to suit your needs.
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.
VS Code is maturing and has a Scala plugin now. The overall experience with VS Code - for web development at least - is very snappy/fast. IntelliJ feels a bit sluggish in comparison. If that Scala plugin for VS Code is deemed mature enough - we may not bother renewing and resort to the Community Edition if we need it.
There is always room for improvement, but I haven't met any IDE that I liked more so far. Even if it did not fit a use case right out of the box, there is always a way to configure how it works to do just that.
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.
Customer support is really good in the case of IntelliJ. If you are paying for this product then, the company makes sure that you will get all the services adequately. Regular update patches are provided to improve the IDE. An online bug report makes it easier for the developers to find the solution as fast as possible. The large online community also helps to find the various solutions to the issues.
This installs just like any other application - its pretty straight forward. Perhaps licensing could be more challenging - but if you use the cloud licensing they offer its as simple as having engineers login to the application and it just works.
Eclipse is just so old, like a dinosaur, compared to IntelliJ. There are still formats that Eclipse supports better, especially old and/or propriety ones. Still, most of the modern software development needs can be done on IntelliJ, & in a much better way, some of them are not even supported on Eclipse.
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.