The Jupyter Notebook 2026: Benefits, Features & Pricing

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On this page

Overview
Pricing and Plans
Features
User Reviews

Overview

The Jupyter Notebook

4.7

(78)

Pricing

Pricing available upon request

About The Jupyter Notebook

JupyterLab is an open-source web application implementing the Jupyter interactive computing environment. As a multi-user system with many different roles and workflows, JupyterLab provides a flexible interface for configuring different types of work and exploring data. The modular design allows extensions to add functionality to the core components of JupyterLab, including workspace management, file storage, and the notebook interface for entering text, code and results.

The Jupyter Notebook Screenshots

The Jupyter Notebook Pricing and Plans

Starting price: Pricing available upon request

Free Trial

Free Version

The Jupyter Notebook Features

Popular features found in Integrated Development Environment (IDE)
Code Development
Code Editing
Debugging
Deployment Management
More features of The Jupyter Notebook
For Developers
Graphical User Interface

The Jupyter Notebook User Reviews

Overall Rating

4.7

Ratings Breakdown

73%

27%

Secondary Ratings

Ease of Use

4.5

Value for money

4.8

Customer support

4.2

Functionality

4.6

shivani s.

Verified reviewer

Biotechnology

10000+ employees

Used daily for less than 2 years

Review source

Reviewed March 2024

Running code line by line in Jupyter Notebook

I use Jupyter Notebook daily to maintain and collaborate on my code. I highly recommend its use, especially for academicians.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I do not troubleshoot my errors in Jupyter Notebook but the ease of splitting and running code into chunks plays a part in making troubleshooting more effective. It helps to narrow down the specific part of the code that is throwing the error.

Cons:

Adding comments is a little time-consuming with the number of # characters for each heading etc. Commenting on the code throughout is at the heart of good coding practice, but it takes a while to do so in the NB. Some shortcuts would come in very handy to save time on this.

Abeer Rehan K.

Verified reviewer

Computer Software

51-200 employees

Used weekly for less than 12 months

Review source

Reviewed September 2022

Easy development and testing

Well, when you require complex calculation and plotting or working with Machine learning, Jupyter Notebook is the perfect tool to use even on the go

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Easy to use Testing made easy Complex calculations does quite well Plotting on the GUI is responsive

Cons:

Requires good hardware to work Google Colabs is similar and is more responsive than Jupyter Support only for Python

Reasons for choosing The Jupyter Notebook

Same as above

Reasons for switching to The Jupyter Notebook

It provided an easier method to test ny programs

Shane J.

Verified reviewer

Government Administration

201-500 employees

Used weekly for less than 6 months

Review source

Reviewed June 2022

Makes code accessible

I used Jupyter with a team of others doing group work in a 3-month data science training program. It was a great platform for teaching and making new code accessible.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

It provides a really nice way to summarize work by integrating tables, graphics and source code. It's great for collaboration and makes a great tool for explaining to others what work was done and what the results were. Being able to see source code and output next to eachother is a big time saver for some applications

Cons:

As someone use to working in R, it takes longer to complete tasks in Jupyter. However, it's still helpful for displaying work in a way that helps others understand it. In that way, it has an advantage pure scripting language applications.

Joseph M.

Verified reviewer

Computer Software

501-1000 employees

Used daily for more than 2 years

Review source

Reviewed May 2023

Agrxis Review on The Jupyter Notebook

The Jupyter Notebook was a great tool for me, in my opinion. For me, it was a game-changer to be able to write and run code, make visualizations, and document my work all in one location. The nature of the notebook makes it simple for me to collaborate and share my work with others. Additionally, there are many resources and extensions accessible thanks to the vibrant Jupyter Notebook community. Overall, The Jupyter Notebook is a flexible, strong, and user-friendly tool for everyone who requires it for their programming and data science needs.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

The Jupyter Notebook's adaptability and versatility are highly appealing to me. I value having a platform that enables me to effortlessly merge my work and documentation in a single environment because I frequently work with data and code. It is a highly potent tool for data analysis, machine learning, and even teaching due to its support for several languages and libraries, graphical user interface, and thorough documentation. Since you can share your notebooks with others and work on projects together in real time, it's also fantastic for collaboration. Overall, The Jupyter Notebook is a priceless tool for anyone who frequently works with code and data.

Cons:

When using huge datasets or intricate models, the Jupyter Notebook can use a lot of resources. For users who are unfamiliar with the platform, in particular, the user interface can feel cluttered or overwhelming.

Austin M.

Verified reviewer

Pharmaceuticals

51-200 employees

Used daily for more than 2 years

Review source

Reviewed October 2023

Jupyter notebook, my number one Python Partner

I'm using Jupyter Notebook for every initial software development process, helping me along the way as one of my best partners.. Having a lot of fun using it and I can't imagine myself without it.

Ratings Breakdown

Ease of use

Functionality

Pros:

I think the most impactful thing about Jupyter Notebook is the ease of implementation, you just do some clicks and configuration and you're ready to go, making it insanely useful and easy to code.You work with cells, blocks of code that can be split or run altogether, and see what happens in every cell separately.

Cons:

I think some shortcuts for cells could be improved, for example deleting a cell is a simple 'D' and your work is gone, time to search for it.. Maybe some configuration regarding those could be great.

Debarpan M.

Verified reviewer

Marketing and Advertising

201-500 employees

Used weekly for more than 2 years

Review source

Reviewed April 2022

Excellent open source interactive development environment

We used the Jupyter notebook for python code development to analyse incoming log files from business processes. Using libraries of python, we ingested large volumes of log files from multiple data sources. Next, we cleaned the data, transformed it and standardised it according to pre-defined requirements. All of these were performed using Jupyter notebooks. Furthermore, with the Jupyter notebook, we plotted scientific plots to extract insights from the data and next built a model to predict disruptions in the business processes. All these improved the efficiency of operations, reduced latency, and added business value.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Intuitive and easy to use interface Simple debugging Web-based interface - can be easily set up with minima installation Excellent application for creating and sharing notebooks with graphs, scientific plots, statistical analysis, intelligent algorithms and advanced analytics to uncover insights from data Easy sharing with the team for better collaboration and communication Multiple modes to save the notebook hence good for demos purposes, training, and storing in a repository for reference at a later date Open source - good community support Pricing - Free to use

Cons:

Better memory allocation for huge datasets Some standard libraries could be installed beforehand to reduce the time to get started

Filippo C.

Verified reviewer

Marketing and Advertising

51-200 employees

Used weekly for more than 2 years

Review source

Reviewed October 2023

The starting point for your training with Python!

I've moved my first steps in Python using Jupyter Notebook many years ago and I still use it to create new code. Definitely suggested for beginners, due to its semplicity, but also for experts. You can also exports jupyters notebooks to other external platform for big data processing, like Databricks.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Jupyter Notebook is definitely the place where you can start programming with Python. The simple graphical interface let's you create notebook, write and launch code to see results immediately. Implementation is made easy with Conda installation and all the packages and libraries you need can be installed with Conda as well.

Cons:

It's a tool for testing purpose, I've never used it in a production environment

Eutimio A.

Verified reviewer

Computer Software

501-1000 employees

Used weekly for less than 12 months

Review source

Reviewed April 2023

Jupyter Notebook: The Ultimate Coding Tool?

During my academic training, I used Jupyter to create codes related to data mining. This tool allowed me to gain a deeper understanding of the basic concepts in this subject, and it quickly became one of the best IDEs in my programming toolbox. Jupyter Notebook's powerful features enable users to carry out any programming activity with ease, provided that the available computational resources are adequate. Overall, I highly recommend Jupyter Notebook as an essential tool for any programmer, especially those interested in data mining.

Ratings Breakdown

Ease of use

Value for money

Functionality

Pros:

Jupyter Notebook is a free and open-source coding application, provides an interactive programming environment. This software has gained popularity among data scientists and programmers all over the world due to its availability in a large number of programming languages and the capability to make and share Jupyter documents. Even those who are new to writing can use it because of the interface's simplicity and intuitiveness.

Cons:

Despite its benefits, Jupyter Notebook can be a little slow and uses a lot of system resources when executing complicated codes. Although it has a vibrant user group and thorough documentation, some users might find the learning curve to be a little challenging. In conclusion, Jupyter Notebook is a useful tool for programmers, but it might not be appropriate for all tasks and ability levels.

Reasons for switching to The Jupyter Notebook

I wanted to work with the resources of my computer instead of the resources provided by the google cloud.

Soham A.

Verified reviewer

Hospital & Health Care

2-10 employees

Used daily for less than 12 months

Review source

Reviewed April 2022

The most flexible IDE out there!

I think the jupyter notebook should be the first place a data analyst/data scientist goes to. The ability to execute code in cells , in an efficient manner, is a must have.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

I think the sheer ability to create a story out of data using this notebook is phenomenal. The resources it uses up are very minimal and the simple aesthetic of it keeps everything neat. In addition installing it with the anaconda distribution has been a blessing to our team. We can import datasets and analyze them in minutes without having to run the code multiple times like in IDE's such as Spyder and Pycharm.

Cons:

Jupyter notebook seems very error prone at times. It spits out errors which can seemingly be resolved by restarting the notebook.

Reasons for choosing The Jupyter Notebook

Much simpler and cost effective

Poorna C.

Verified reviewer

Information Technology and Services

501-1000 employees

Used daily for more than 2 years

Review source

Reviewed December 2021

Easy to Use

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

Since it supports an interpreter we can develop the python code more conveniently and also the debug of an error is quit easy as we have already found of the line of error

Cons:

The Jupyter Notebook has very less disadvantages one of those is the sometimes we need to manually close all the running kernals. There must be an option to close the kernals automatically after certain amount of time.

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