# Page 2 | The Jupyter Notebook Reviews 2026. Verified Reviews, Pros & Cons | Capterra > Page 2 - Is The Jupyter Notebook the right Integrated Development Environment (IDE) solution for you? Explore 78 verified user reviews from people in industries like yours to make a confident choice. Source: https://www.capterra.com/p/234967/The-Jupyter-Notebook/reviews --- The Jupyter Notebook 4.7 (78) [View alternatives](https://www.capterra.com/p/234967/The-Jupyter-Notebook/alternatives/) Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Learn more](https://www.capterra.com/our-story/) * * * Last updated March 13th, 2026 # Page 2 - Reviews of The Jupyter Notebook ## Showing most helpful reviews Showing 26-50 of 78 Reviews Sort by: Most Helpful Rating Company Size Reviewer's Role Length of Use Frequency of Use Md Kazi S. Data Scientist Computer Software Used the software for: 2+ years ### "Jupyter Notebook Review" August 12, 2024 4.0 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. 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. Review Source Joseph M. Senior Developer Computer Software Used the software for: 2+ years ### "Agrxis Review on The Jupyter Notebook" May 14, 2023 5.0 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. 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. Review Source cR christ R. Product engineer Information Technology and Services Used the software for: 1-2 years ### "Most developer friendly Python IDE particularly for data science and machine learning" December 6, 2022 5.0 I have been using Jupyter Notebook for quite a while mostly for my work as a product engineer to mainly for data analytics and visualisation which are parts of my current role usually done during pre production cycle and sometimes I also use it outside of work for my personal deep learning projects related to image classification. My overall experience with Jupyter Notebook has been positive due to a lot of useful tools this platform has to offer, thing that stand out the most is its ability to handle large dataset which in my opinion is very necessary aspect for big data project. Therefore, I'd recommend this platform for all works related to data science, machine learning, deep learning as it has all you need to excel. Pros There are many aspects from Jupyter Notebook that I really like, however there are three main things which stand out the most in my personal opinion. Firstly, I like the nature of Jupyter Notebook that allows users or developers to not only write the code in blocks but also save, compile, and get the output of the code individually. This particular feature enables me to analyse the code easier and detect any error in the code as early as possible. Secondly, Jupyter Notebook has the capability of handling extremely large dataset where I never had a major issue related to big data size on this platform. Last but not least, when it come to visualising data for instance using Python libraries, such as matplotlib or seaborn, Jupyter Notebook has a very clean and solid graph. Cons Perhaps there are only few aspects that I dislike from this platform and I believe there are still rooms for improvement. The first thing is the installation and configuration set up process that might take a lot of time especially for beginners who are not familiar with this type of software. Other than that, since Jupyter Notebook currently only supports Python, it would be great and appreciated if in the future, they consider to support more programming languages related to data science like R or scala. Review Source VV Vikas V. Data Analyst Real Estate Used the software for: 1-2 years ### "Jupyter Notebook Is very helpful." June 14, 2023 4.0 The overall experience with Jupyter Notebook can vary depending on the user's familiarity with coding, their specific use case, and personal preferences. Many data scientists, researchers, and educators find Jupyter Notebook to be a powerful tool for data exploration, analysis, and documentation. Its interactive nature and support for multiple programming languages make it versatile and widely used in the data science community. However, it's important to consider the learning curve and potential challenges with debugging and version control when deciding whether Jupyter Notebook is the right tool for your specific needs. Pros Jupyter Notebook provides an interactive coding environment that allows users to write and execute code in a browser-based interface. This interactivity promotes exploratory data analysis and experimentation. Jupyter Notebook has a large and active user community, which means there are many resources, libraries, and extensions available. It supports multiple programming languages, including Python, R, Julia, and more. Cons While Jupyter Notebook is generally user-friendly, it can have a steep learning curve for beginners who are new to coding or the notebook interface. Compared to integrated development environments (IDEs) dedicated to coding, Jupyter Notebook's debugging capabilities are relatively limited. It may not provide extensive tools for debugging complex code. Due to the nature of the notebook format, tracking changes and managing version control can be challenging, especially when multiple collaborators are working on the same notebook. Review Source shivani S. Graduate student Biotechnology Used the software for: 1-2 years ### "Running code line by line in Jupyter Notebook" March 14, 2024 4.0 I use Jupyter Notebook daily to maintain and collaborate on my code. I highly recommend its use, especially for academicians. 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. Review Source Austin M. Software Analyst Pharmaceuticals Used the software for: 2+ years ### "Jupyter notebook, my number one Python Partner" October 27, 2023 5.0 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. 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. Review Source Debarpan M. Student Marketing and Advertising Used the software for: 2+ years ### "Excellent open source interactive development environment" April 18, 2022 5.0 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. 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 Review Source Filippo C. Senior Data Scientist Marketing and Advertising Used the software for: 2+ years ### "The starting point for your training with Python!" October 19, 2023 4.0 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. 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 Review Source VR Verified Reviewer My Jupyter Experience Information Technology and Services Used the software for: 2+ years ### "My Jupyter Notebook Experience" January 18, 2023 4.0 I am using it for research and class projects. It is really easy to use and good for python beginners. Pros I love the easy use of the software and I use this every day of my life for self and school projects. Its python extensions also made it easy to synchronize with other softwares. Cons I do not like the way it stopped working without prompt notice. Sometimes, I have to shut down, sign out and relaunch it before it will work fine. Review Source Eutimio A. Computer Intern in the IT Department Computer Software Used the software for: 6-12 months ### "Jupyter Notebook: The Ultimate Coding Tool?" April 2, 2023 5.0 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. 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. Review Source Soham A. Marketing and Operations Head Hospital & Health Care Used the software for: 6-12 months ### "The most flexible IDE out there!" April 15, 2022 5.0 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. 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. Alternatives considered [PyCharm](https://www.capterra.com/p/186625/PyCharm/) Reason for choosing The Jupyter Notebook Much simpler and cost effective Review Source JC Joan C. Data Scientist Research Used the software for: 2+ years ### "Herramienta muy recomendable para programar en Python" June 3, 2023 5.0 Pros Para desarrolladores que quieren programar mediante Python con una buena interfaz gráfica que permite ejecutar líneas de código de forma inmediata. Cons En el momento en el que estoy programando un algoritmo que requiere de muchas funciones, cuesta organizar las partes del Notebook. Quizás sería interesante disponer de una función que permita gestionarlo. Review Source VR Verified Reviewer Data Scientist Information Services Used the software for: 2+ years ### "Python lifesaver" October 6, 2021 4.0 Pros I prefer using JN instead of editing code in an IDE as it allows for more flexibility. It is easy to simply write a script and execute it line by line. If there are any errors, it's easy to rectify it on the spot. What's good is that the output is executed within the cells and stays there till you refresh it to do something new. Even though it is not exclusively for Python, it still makes the job a lot easier for me so I avoid making mistakes. Writing the notebooks is easy and I can save it to share with others so that we can work on the same thing. Google Collab is one platform where I can upload the notebooks and run it on the cloud for my data analysis and Machine Learning needs. The best part is I can run it easily from any browser or use it on the cloud. Cons File management is terrible at times. On some rare occasions, it doesn't execute properly or gives weird errors. Some notebooks aren't marked so one isn't sure if they are compatible with python 2 or 3. There is no flexibility to interchange between the two. Review Source EH Eunice H. Data Scientist Market Research Used the software for: 1-2 years ### "Super logiciel pour tester des bouts de codes et visualiser ses données" February 8, 2023 5.0 J'ai commencé à coder avec Jupyter Notebook et il m'accompagne pour toutes les fonctions que je dois écrire. Je l'utilise beaucoup pour les tester avant de les écrire "proprement" dans un fichier python. Je l'utilise donc toujours comme un brouillon pour mes programmes ce qui m'aide énormément. Pros J'aime beaucoup le format "bloc-notes". Il est très facile de visualiser des Dataframes, des données en général ainsi que des graphiques. J'adore vraiment le fait de pouvoir exécuter chaque bloc et voir les résultats tout de suite, sans même avoir besoin de faire un "print". Cons Le déboggage n'est pas aussi pratique qu'avec d'autres logiciels. Review Source VR Verified Reviewer data scientist Research Used the software for: 2+ years ### "User-friendly practical interface" November 20, 2022 5.0 Line - line and fluent. Ideal for training. Pros The interface of Jupyter Notebook is very simple. It is very practical especially for students and beginners because you can easily see the outputs of the code you have written. You can assign titles in the script. It is loaded with Anaconda. It is easy to debug. Its performance isn't bad. It is an open source tool. Ideal for data visualization. Cons A tool that can only be used with Python. Sometimes there are memory errors that shouldn't happen. Review Source Poorna C. Data Scientist Information Technology and Services Used the software for: 2+ years ### "Easy to Use" December 1, 2021 5.0 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. Alternatives considered [PyCharm](https://www.capterra.com/p/186625/PyCharm/) Review Source MS Madhusudan S. Software Engineer Computer Software Used the software for: 2+ years ### "The most effective programming languages for computing" February 23, 2023 5.0 I've figured out Data Science, Machine Learning, and Python Web Development issues. Also, I've connected Python with SQL-based databases. I've benefited from Jupyter notebook in terms of programming workflow. Pros Compared to alternative IDEs, I like the Jupyter Notebook UI. It functions flawlessly and is incredibly light in my browser. The programme can be written in blocks, and Jupyter saves the output of each block of code separately. I can easily restart the kernel and carry out the process again if my code freezes. It gives you the freedom to independently run any code block. It is excellent that so many programming languages are supported. Cons Jupyter notebook does not support all programme integration. Also, I wish Jupyter Notebook could connect to an external server and enable GPU functionality similar to Google Colab. Review Source AP Aditya P. Software Engineer Computer Software Used the software for: 2+ years ### "Using Jupyter Notebook to explore insights" February 19, 2023 5.0 With a wealth of features that make it a popular option for many users, Jupyter Notebook is an effective tool for data science, research, and education. It is a flexible and adaptable platform that can be used for a variety of jobs since it allows code, visuals, and text to be combined in a single document. Pros I have utilised Jupyter Notebook at one of India's biggest banks. I had performed data studies using the R programming language, including data cleaning, data analysis, and forecasting the future. It is incredibly simple to use, and installing it on your computer is trouble-free. Also, there are numerous libraries that you can easily install. Cons In installing new packages, such as PyViz packages, it makes a few mistakes. You will encounter a download error if you launch the Jupyter Lab in the Chrome browser. Review Source Ryan M. Senior Research Analyst E-Learning Used the software for: 1-2 years ### "Jupyter Notebook is the language of many data science projects" July 18, 2022 5.0 Very positive. I would recommend that anyone looking into data science become familiar with Jupyter Notebooks. I think that using this platform will take you from being an amateur to appearing professional. But, you also shouldn't stop there. After your analysis is done, you should take the results of the notebook and draw up a real story. Pros I like that it can be used to generate reports and continually updated with new data. For example, I have one notebook that queries my database and so everytime I run it, I see different results pop through my analysis Cons It is slightly weird that it has to be started from a command line and then run in a browser. In some ways, that is nice but I would prefer to just use an app. I should also note that sometimes Jupyter couldn't find the packages that I had installed with other python programs so I had to pip install the packages directly on Jupyter to make it work which was a little clunky Review Source VR Verified Reviewer Student Higher Education Used the software for: Less than 6 months ### "Amazing program for learning to code and for processing datra" March 10, 2023 5.0 Overall great experience! Easy to learn and to use. 10/10 would recommend. Pros I have used and am using Jupyter Notebook for programming for both of my biology classes. As someone with no prior programming experience, I found Jupyter Notebook very easy to use once you have learned how to use. The process of inserting and creating a new data file is very logical and easy to remember. In addition, if there are any bad data points, you can omit the points in your data directly within in Jupyter Notebook. Some of my features are the graphing features where I can graph different types of graphs like bar graphs and histograms as well as how I can sort generate summaries/analysis of the data directly within Jupyter Notebook. Jupyter Notebook automatically saves your work but there is also an additional button for manual saving Cons Something I hope that Jupyter Notebook could improve is the speed of the server when there a lot of people on site. Other than this, I don't have any other complaints. Review Source Moustafa Medhat A. Student Medical Devices Used the software for: 1-2 years ### "My Review of The Jupyter Notebook" April 9, 2022 4.0 My overall experience with The Jupyter Notebook is good and I enjoyed using it. Pros It enables me to visualize and present my code in a professional way. It has a user-friendly UI. Also, it supports most of the python Math libraries. Cons It requires me to restart the notebook every time I install a new package or a library. It is not good when opening a .py extension file. Also, it doesn't provide a Dark mode option. Review Source Surya P. Process Developer Consumer Services Used the software for: 6-12 months ### "Much needed tool for begineer who are trying to learn R and Python." March 26, 2022 5.0 Overall its a very useful and friendly interface tool for learning python and R Pros Very user-friendly software for the people who daily work with R and Python Especially. Also, It allows you to go step by step through your code which makes it easier to find errors in your code. it makes easier to explore and plot your data. We can run Jupyter notebook by using any browser. Cons Nothing much as of now, only one thing that as of now there is no IDE Integration with the product which can be improved in future. Review Source TD Thien D. Graduate research assistant Education Management Used the software for: 2+ years ### "My favorite Python editor" November 8, 2022 5.0 Pros It’s so lightweight and has one of the cleanliest interfaces for coding editors. The full set of keyboard shortcuts is very useful and helps increase your coding efficiency. The ability to display the outputs right next to the input codes makes it an ideal choice when it comes to teaching coding. Cons Parallel computing is not natively supported and requires a great deal of additional configuration. There is also no feature of version control. Review Source SNHS Syed Najaf Haider S. Research Assistant Education Management Used the software for: 1-2 years ### "Jupyter Noterbook - a hassle free python IDE" April 14, 2022 4.0 I have been using Jupyter Notebook for more than 1 year. Mostly I run small scripts of code for testing and debugging. My overall experience so far is good. I would recommend beginners to start with Jupyter Notebook to fully understand how each line of the code works. However, for advanced programmers, It could be improved by adding more features like integration with other software tools etc. Pros Using Juypter Notebook, one can run or debug lengthy python codes line by line. An easy and time saving platform for coding. One can even use it without downloading it separately. Just type jupyter notebook on the windows command prompt and there you go. The presentation tool of Jupyter Notebook is very attractive. One can easily understand the codes written by others. Cons For beginners, Its interface is good but for moderate and advanced programmers, it is not their cup of tea. There should be more features and flexibility to target them as well. Sometimes I face problems in opening it. It gets hanged and takes time to get stable. Review Source VR Verified Reviewer Software Engineer Computer Software Used the software for: 2+ years ### "Best open source software for implementing python." December 22, 2022 5.0 Overall I felt great after using it, earlier it was little bit confusing to get its functionalities but it seems very easy to use and working on it on big projects also.Its speed of running the code is great. Pros \*Best suited for python for writing effective code. We can easily run the code.\*It is cloud based which helps to share also.\*If working on the machine learning, data science and AI then it is very helpful, when we write code it suggest the correct next part of code. Cons \*I am completely satisfied with its feature, not more to dislike. But I will say to improve libraries to use.\*Limited programming language it has, they also have to add more languages. Review Source Similar Products Featured