--- description: Review of The Jupyter Notebook Software: system overview, features, price and cost information. Get free demos and compare to similar programs on Software Advice Ireland. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: The Jupyter Notebook | Reviews, Pricing & Demos - SoftwareAdvice IE --- Breadcrumb: [Home](/) > [Integrated Development Environment (IDE) Software](/directory/4413/ide/software) > [The Jupyter Notebook](/software/320459/the-jupyter-notebook) # The Jupyter Notebook Canonical: https://www.softwareadvice.ie/software/320459/the-jupyter-notebook Page: 1 / 4\ Next: [Next page](https://www.softwareadvice.ie/software/320459/the-jupyter-notebook?page=2) > 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**. ----- ## 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.ie/directory/4413/ide/software) ## Alternatives 1. 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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. ----- ### "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. ----- ### "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. ----- ### "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. ----- ### "Excellent open source interactive development environment" — 5.0/5 > **Debarpan** | *18 April 2022* | Marketing & Advertising | Recommendation rating: 10.0/10 > > **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 > > 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. ----- Page: 1 / 4\ Next: [Next page](https://www.softwareadvice.ie/software/320459/the-jupyter-notebook?page=2) ## Links - [View on SoftwareAdvice](https://www.softwareadvice.ie/software/320459/the-jupyter-notebook) ## This page is available in the following languages | Locale | URL | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | ----- ## Structured Data