---
description: Review of The Jupyter Notebook Software: system overview, features, price and cost information. Get free demos and compare to similar programs.
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title: The Jupyter Notebook | Reviews, Pricing & Demos - SoftwareAdvice GB
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# The Jupyter Notebook

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> 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.
> 
> Verdict: Rated **4.7/5** by 78 users. Top-rated for **Likelihood to recommend**.

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## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.7/5** | 78 Reviews |
| Ease of Use | 4.5/5 | Based on overall reviews |
| Customer Support | 4.2/5 | Based on overall reviews |
| Value for Money | 4.8/5 | Based on overall reviews |
| Features | 4.6/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Jupyter

## Commercial Context

- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Supported Languages**: English
- **Available Countries**: United States

## Features

- Debugging
- For Developers
- Graphical User Interface

## Category

- [Integrated Development Environment (IDE) Software](https://www.softwareadvice.co.uk/directory/4413/ide/software)

## Alternatives

1. [Microsoft Visual Studio](https://www.softwareadvice.co.uk/software/410128/microsoft-visual-studio) — 4.6/5 (3004 reviews)
2. [IntelliJ IDEA](https://www.softwareadvice.co.uk/software/207805/intellij-idea) — 4.7/5 (1256 reviews)
3. [PyCharm](https://www.softwareadvice.co.uk/software/207982/pycharm) — 4.7/5 (368 reviews)
4. [Eclipse IDE](https://www.softwareadvice.co.uk/software/207988/eclipse-ide) — 4.3/5 (202 reviews)
5. [Apache NetBeans](https://www.softwareadvice.co.uk/software/207943/apache-netbeans) — 4.3/5 (231 reviews)

## Reviews

### "Jupyter Notebook Review" — 4.0/5

> **Md Kazi** | *12 August 2024* | Computer Software | Recommendation rating: 9.0/10
> 
> **Pros**: The interface is incredibly user-friendly. You enter your code in a cell, and the results appear right beneath it, which is fantastic for visualizing data. It supports key languages like Python and R, which aligns perfectly with my needs. Plus, the ability to add documentation alongside your code is a major advantage, helping me keep everything well-organized and understandable.
> 
> **Cons**: It's not as fast as other IDEs and isn't ideal for building fully deployable Data Science applications.
> 
> Using Jupyter Notebook has been a great experience overall. The intuitive interface makes coding and visualizing data really straightforward, and the ability to keep documentation next to your code is a huge plus for clarity. This helps me immensely during my presentations.

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### "Agrxis Review on The Jupyter Notebook" — 5.0/5

> **Joseph** | *14 May 2023* | Computer Software | Recommendation rating: 10.0/10
> 
> **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.
> 
> 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.

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### "Makes code accessible" — 4.0/5

> **Shane** | *30 June 2022* | Government Administration | Recommendation rating: 6.0/10
> 
> **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.
> 
> 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.

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### "Running code line by line in Jupyter Notebook" — 4.0/5

> **shivani** | *14 March 2024* | Biotechnology | Recommendation rating: 10.0/10
> 
> **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.
> 
> I use Jupyter Notebook daily to maintain and collaborate on my code. I highly recommend its use, especially for academicians.

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### "Jupyter notebook, my number one Python Partner" — 5.0/5

> **Austin** | *27 October 2023* | Pharmaceuticals | Recommendation rating: 10.0/10
> 
> **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.
> 
> 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.

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## Links

- [View on SoftwareAdvice](https://www.softwareadvice.co.uk/software/320459/the-jupyter-notebook)

## This page is available in the following languages

| Locale | URL |
| en | <https://www.softwareadvice.com/ide/the-jupyter-notebook-profile/> |
| en-AU | <https://www.softwareadvice.com.au/software/320459/the-jupyter-notebook> |
| en-GB | <https://www.softwareadvice.co.uk/software/320459/the-jupyter-notebook> |
| en-IE | <https://www.softwareadvice.ie/software/320459/the-jupyter-notebook> |
| en-NZ | <https://www.softwareadvice.co.nz/software/320459/the-jupyter-notebook> |

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