--- title: The Jupyter Notebook Reviews meta_title: 'The Jupyter Notebook Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 254 reviews by the users' company size, role or industry to find out how The Jupyter Notebook works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 254 scale: '5' date_modified: '2026-08-07' parent_category: name: Integrated Development Environments (IDE) url: https://www.g2.com/categories/integrated-development-environments-ide --- # The Jupyter Notebook Reviews **Vendor:** Jupyter Open Source **Category:** [Python Integrated Development Environments (IDE)](https://www.g2.com/categories/python-integrated-development-environments-ide) **Average Rating:** 4.6/5.0 **Total Reviews:** 254 ## About The Jupyter Notebook Jupyter Notebook is an open-source, web-based interactive computing environment that enables users to create and share documents containing live code, equations, visualizations, and narrative text. It supports over 40 programming languages, including Python, R, Julia, and Scala, making it a versatile tool for data science, scientific computing, and machine learning. Key Features: - Interactive Computing: Allows real-time code execution and immediate feedback, facilitating an interactive development process. - Multi-Language Support: Supports numerous programming languages, enabling flexibility in project development. - Rich Text Integration: Incorporates Markdown for formatting text, creating headings, lists, and embedding links alongside code. - Data Visualization: Integrates seamlessly with libraries like Matplotlib and Seaborn to produce dynamic, inline visualizations. - Notebook Sharing: Enables easy sharing of notebooks via email, GitHub, or conversion to formats like HTML and PDF. - Extensible Architecture: Supports extensions and plugins, allowing for customization and additional functionality. - Kernel Flexibility: Allows switching between different programming languages within the same notebook. Primary Value and User Solutions: Jupyter Notebook streamlines the process of developing, documenting, and sharing computational workflows. Its interactive environment promotes reproducibility and transparency in research, making it an invaluable tool for data scientists, educators, and researchers. By combining code execution, rich text, and visualizations in a single document, it enhances collaboration and simplifies the communication of complex ideas. ## The Jupyter Notebook Pros & Cons **What users like:** - Users appreciate the **ease of use** of Jupyter Notebook, making it perfect for beginners and efficient for data projects. (7 reviews) - Users value the **easy implementation of data visualizations** in Jupyter Notebook, enhancing their Python and machine learning projects. (6 reviews) - Users value the **powerful data analysis capabilities** of Jupyter Notebook, enabling interactive insights and seamless visualizations. (5 reviews) - Users value the **interactive prototyping and language flexibility** of Jupyter Notebook, enhancing their data analysis workflows. (5 reviews) - Users value the **unmatched interactive prototyping** capabilities of Jupyter Notebook, enhancing their data analysis and experimentation. (4 reviews) - Code Editing (3 reviews) - Users appreciate the **user-friendly interface** of Jupyter Notebook, making data analysis easy and efficient. (3 reviews) - Users appreciate the **easy data management capabilities** of Jupyter Notebook, enhancing their project organization and execution. (3 reviews) - Feature Variety (3 reviews) - Flexibility (3 reviews) **What users dislike:** - Users find **file management cumbersome** in Jupyter Notebook, particularly with large projects and outdated UI limitations. (3 reviews) - Users report that handling **large datasets** is slow, often leading to crashes and performance issues. (3 reviews) - Users experience a **complex setup** with Jupyter Notebook, finding the initial learning process and configuration overwhelming. (2 reviews) - Users find **difficult management** aspects challenging, especially in setting up environment configurations and handling version control. (2 reviews) - Users find the **steep learning curve** of Jupyter Notebook challenging, requiring significant time to grasp initial setup and commands. (2 reviews) - Users find Jupyter Notebook has **limited features** , making it less efficient compared to other IDEs like VS Code. (2 reviews) - Poor Customer Support (2 reviews) - Users face challenges with **code errors** , struggling to understand complex messages and manage version control effectively. (1 reviews) - Users find **complex coding** in Jupyter Notebook challenging, especially with error messages and version control difficulties. (1 reviews) - Connection Issues (1 reviews) ## The Jupyter Notebook Reviews ### 1. Great for data science projects **Rating:** 4.5/5.0 stars **Reviewed by:** Ganesh B. | Fullstack Developer - Software, Small-Business (50 or fewer emp.) **Reviewed Date:** November 07, 2019 **What do you like best about The Jupyter Notebook?** Jupyter notebooks helps to annotate code effective , If we give someone a jupyter notebook with the markdown annotations, they can not only read the code but also run it and the best part is the code runs inside the browser. It also supports graphical display libraries like Matplotlib this enables us to not only run data analysis but also plot the results in beautiful graphs. It is difficult to send the code and dependencies to someone else to reproduce the results, but since Jupyter notebooks are self contained, one can easily send the whole notebook with all the annotations and the receiver can completely run the setup and see the same output and edit it on the fly if need be, Jupyternoteboos come with a handy auto save checkpoint feature so that one can roll back to a previous version if need be, since Jupyter is an opensource software, all the open issues are public and the software becomes extensible. Since Jupyter notebook is a sever based software that binds to a port, it can be deployed in a remote instance and can be accessed from anywhere in the world easily. **What do you dislike about The Jupyter Notebook?** Jupyter notebooks consumes a lot CPU cycles and RAM, hence we need to be mindful of it **Recommendations to others considering The Jupyter Notebook:** Jupyter notebook is a one of kind software that has no other alternatives, so go for it without fretting much. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Binding of code and annotations that is editable by the receiver is made possible by Jupyter notebooks. ### 2. Love love love Jupyter! **Rating:** 5.0/5.0 stars **Reviewed by:** Darius D. | CFO, Mid-Market (51-1000 emp.) **Reviewed Date:** November 07, 2019 **What do you like best about The Jupyter Notebook?** I have used a combination of Perl, Fortran, NCL, Matlab, R and others for routine research, but found out this general- purpose language, Python, can handle almost all in an efficient way from requesting data from remote online sites to statistics, and graphics. **What do you dislike about The Jupyter Notebook?** Once I posted a snippet from a jupyter notebook into slack python developer group. I cannot say how ashamed I felt about the way they blamed me for not following pep conventions. Jupyter has no kind of linting meaning you can write very badly styled coded. Just try to copy your code into your favorable code editor with linting, and you will see what I mean. Data Scientist are not software engineers and therefore tools that govern their code quality and help to improve it are very important. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter has great features. These features, perhaps, come with a minor cost of reduced language performance, but this is a trade-off the vast majority of users are willing to make in order to gain all the advantages Python has to offer. ### 3. Jupyter Notebook: Best live coding web application **Rating:** 5.0/5.0 stars **Reviewed by:** Ankit D. | Mid-Market (51-1000 emp.) **Reviewed Date:** January 21, 2020 **What do you like best about The Jupyter Notebook?** First of all the interactive interface provided by Jupyter notebook is really nice. Jupyter notebook is very easy to use and the live coding feature is really awesome. Jupyter notebook works very efficiently in scientific programming. **What do you dislike about The Jupyter Notebook?** It is very frustrating when it comes to reusing the code. We have to refresh the kernel before running in some cases such as when accessing a file from hard disk. **Recommendations to others considering The Jupyter Notebook:** If you are looking for a website application that supports live coding, saving and sharing of your documents and is easy to use then you should go for Jupyter notebook. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I do scientific programming in Jupyter notebook. Jupyter Notebook is very useful when it comes to code in python. I make a lot of presentation codes and share them with my team. It is very easy to understand the code when shown to a large group of people(Workshops). ### 4. Jupyter Notebook for Data Science **Rating:** 3.5/5.0 stars **Reviewed by:** Zainab P. | Computer Scientist, Research, Mid-Market (51-1000 emp.) **Reviewed Date:** October 24, 2019 **What do you like best about The Jupyter Notebook?** It is hands down one of the best IDEs out there for data science development. While different in functionality from spyder, I prefer jupyter notebooks for the times when I need to work on individual blocks of code, or to build a project piece by piece. This makes the writing of complicated code pretty easy too because of the easy on the eyes structure. **What do you dislike about The Jupyter Notebook?** What I don't like about Jupyter notebook is the lack of features available for unit testing of lack of support for a TDD environment. You cannot force stop a block of code already running if you need to for debugging, and if you meddle with it a lot, then it just freezes. **Recommendations to others considering The Jupyter Notebook:** If you are new to the world of data science, Jupyter notebook would be a good start. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Mostly for web scraping, data analysis, and model training. It's definitely one of the better software out there for ML once you get the hang of it. ### 5. Python for Data analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Abu Ofa A. | Pricing Analyst, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2019 **What do you like best about The Jupyter Notebook?** Can be used to work in chunks without executing the whole code. This helps in sub sectioning your code to read it better. JN is available on the browser so very easy to use. **What do you dislike about The Jupyter Notebook?** The autosave function will erase your work if you have made too much modification to the work. There isn't much dynamic validation function that will help to debug. Not enough customization option to have a dark background. No color-coded debugs functionality. **Recommendations to others considering The Jupyter Notebook:** A great web-based tool for python. It is great because a lot of tutorials is available with JN. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use it to analyze large data sets using numpy and Pandas. I use it to write code that helps sort and filter large data sets. I have used pandas profiling to get a description of my data sets. I have also used this to run ML models that help with predictive analysis. ### 6. Best tool for Learning, Presentation and Live Coding **Rating:** 5.0/5.0 stars **Reviewed by:** AKHILESH R. | Software Engineer - 1, Enterprise (> 1000 emp.) **Reviewed Date:** December 18, 2019 **What do you like best about The Jupyter Notebook?** My journey with Jupyter Notebook is more than six years and it has made my work easier to explain to clients and colleagues. Following points I live about Jupyter Notebook :- 1. Doing Live Coding in IDE is quite hard and not very presentable. Jupyter Notebook make's it lot more easier with its easy to move around short cuts keys. 2. Supports multiple language, people have doubts that Jupyter Notebook is only for Python but its not true, it support various other popular language. 3. Flexible environment and easy to share. 4. Writing document with Code snippets and graph to represent your facts can be easily done in Jupyter Notebook. **What do you dislike about The Jupyter Notebook?** Jupyter Notebook is almost like an IDE but not an IDE, it does not support features like debugging, or file management system is also not that great. Short cuts keys are hard to remember as some of them require multiple keys to press simultaneously. **Recommendations to others considering The Jupyter Notebook:** A platform where you can easily present your code and make the changes at the same time if required and after that easily share those files. Good for learning new language as you can type small code snippets and run them then create new shell and again write your code which can be or need not be related to previous shell. I highly recommend. **What problems is The Jupyter Notebook solving and how is that benefiting you?** My most of the work in Jupyter Notebook is related to prepare presentation or Short code samples to give my colleague some idea about my program. ### 7. Learning Python Machine Learning with Jupyter Notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Christopher G. | RPA Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 29, 2019 **What do you like best about The Jupyter Notebook?** I like the predictive text function, an the easy integration with many programming languages. Also like that I can test my code part by part, that is awesome. **What do you dislike about The Jupyter Notebook?** I dislike the interface is a little rough an not very friendly to new users. I got some problems starting to programming because I did not know how to create a new file. **Recommendations to others considering The Jupyter Notebook:** Expect and environment where you can program in script and test it part by part. Hard to start, but easy to get use to. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am solving problems of training Machine Learning Models, from loading a dataset, training and evaluating to implement it to and application. I have realized that is not that complicated to understand the topic. ### 8. Very nicely formatted **Rating:** 5.0/5.0 stars **Reviewed by:** sruthi k. | Business Intelligence Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** August 13, 2020 **What do you like best about The Jupyter Notebook?** The neatly formatted notebook like structure **What do you dislike about The Jupyter Notebook?** Conversion to python script form can be improved **Recommendations to others considering The Jupyter Notebook:** It's best for beginners **What problems is The Jupyter Notebook solving and how is that benefiting you?** Classification, regression, time series problems ### 9. Good IDE to be used in data analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Theja W. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 23, 2020 **What do you like best about The Jupyter Notebook?** The Jupyter notebook allows to easily write and execute python or R codes. It also support many libraries such as data visualization and graph representations. Also it has simple and user friendly interface even though it runs on the browser. **What do you dislike about The Jupyter Notebook?** The IDE doesn't give much support in debugging and code fragment suggesting. Also the color coding and analysis is not much developed. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data analyzing in technical forums related text ### 10. Excellent tool for using and developing code **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** July 02, 2020 **What do you like best about The Jupyter Notebook?** I like how easy it is to use for developing and running code. The ability to organize your code and separate your work into different cells is a great tool. Also, the ease of saving your work is great as well. **What do you dislike about The Jupyter Notebook?** Sometimes your notebook will disconnect leading to issues with saving work or losing some progress, but this is a rare occurrence. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am able to develop and use code efficiently that I use to complete my research. ### 11. Notebook for Learning and Presenting. **Rating:** 5.0/5.0 stars **Reviewed by:** Himanshi N. | Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** September 02, 2019 **What do you like best about The Jupyter Notebook?** Jupyter notebook is best IDE for learning Machine Learning and Data Science, also it is compatible with various other programming languages too. So you can easily code and see how its working as it works like interpreter. My conclusion of Jupyter Notebook as follows: 1. Easy to Learn and use. 2. Fast and innovative interface. 3. Compatible with various language. 4. Easy shortcuts to interact with IDE. 5. Easily accessible, you can say portable and shareable with colleagues. **What do you dislike about The Jupyter Notebook?** I'm working with Jupyter Notebook from more than 3 years and i like it too but its not a complete IDE. Jupyter Notebook is a wonderful tool for many task like explanatory data analysis, result presentation, insight sharing with co-workers. But more and more I'm coming to the conclusion that Jupyter Notebook can't be the last resort, especially when working with teams that aim to build that are enabled by means of ML,DS,AI etc. No code versioning and there is no IDE integration, no linting, no code style correction. Jupyter Notebook is good for Learning and Presenting your work but its not yet comparable with VSCode or Jupyter or PyCharm. Maybe in future it will. **Recommendations to others considering The Jupyter Notebook:** Try jupyter notebook if you have't because its completely different experience than using an IDE like VSCode and PyCharm. For student i totally recommend Jupyter Notebook. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Presenting my work, sharing results with colleagues and teaching newcomers how to code and ML. ### 12. A must have tool for a Data Scientist **Rating:** 4.0/5.0 stars **Reviewed by:** Giuseppe V. | Sr Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** November 13, 2019 **What do you like best about The Jupyter Notebook?** - The fact that you can selectively run pieces of code and having the output right below. - It gives me the possibility to have visualizations and tables in the same page. - It integrates in a fantastic way with the libraries the I uses the most: numpy, pandas, matplotlib and sklearn. - I can use different languages and not change the way in which I use it. - The interactive tools are fantastic. You can make charts and interfaces to interact with them very easily. **What do you dislike about The Jupyter Notebook?** - It's easy to lose track of the variables in the notebook and override important data or fill up the memory or your machine. - It's very hard to keep track of different versions of your code. - When you have too much code the notebooks get hard to handle and it becomes difficult to search in notebook. **Recommendations to others considering The Jupyter Notebook:** Don't mistake it for a development IDE. **What problems is The Jupyter Notebook solving and how is that benefiting you?** - I can try ideas quickly without wasting time in designing my code properly. - I can have the code of my prototype and the results all in the same place. - It's my tool to go for one off analysis because I can quickly make chart and copy them into my presentations. - It's a great tool to use when you have to teach programming and data analysis. - It can be used to make interactive presentation where you can show dynamically the output of your work. ### 13. Jupyter Notebook: Best live coding web application **Rating:** 5.0/5.0 stars **Reviewed by:** kuldeep S. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** January 26, 2020 **What do you like best about The Jupyter Notebook?** Jupyter Notebook is very efficient in terms of interface, functionality, and power. Also, we can easily share our work with others because of the nice sharing feature of Jupyter Notebook **What do you dislike about The Jupyter Notebook?** Jupyter Notebook is not good for creating software or games. Basically Jupyter Notebook works good for Scientific programming but it works very badly when it comes to making software or games. **Recommendations to others considering The Jupyter Notebook:** If you are looking for a web application for live coding that is easy to use and has a nice interface then you should go for Jupyter Notebook. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I do Scientific programming in Jupyter notebook. It is super easy to use Jupyter notebook and the interface of Jupyter notebook is really nice. ### 14. Jupyter Notebook - **Rating:** 5.0/5.0 stars **Reviewed by:** Sahitya C. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** August 09, 2019 **What do you like best about The Jupyter Notebook?** One of my favorite tools is Jupyter notebook because it helps me manage all my projects in one place. It also helps me organize all my notebooks and helps me work on multiple notebooks at the same time with ease. The knowledge of this tool helped me get through my Machine Learning class with an A as my professor only used Jupyter notebook for his class notes and also for assignments. Every assignment was a problem that I had to solve but I got to learn how to tweak around the code and keep my code organized with the help of Jupyter notebook. With every error I faced, I understood more and more about the code I was writing and how I could optimize it better. I like how Jupyter is platform-independent and detects the version of python installed on the system. I like how it can be installed with ease with the help of Anaconda Navigator. I can say that Jupyter is the best tool for aspiring data scientists or students who would like to start their data science journey. **What do you dislike about The Jupyter Notebook?** As a graduate student, I am still in a learning stage and I would like to learn how my code is running, for example, I would like to know how if the variables are populated correctly or if my code is exiting a loop correctly. I would like it if Jupyter had a debugger that could help me create checkpoints and analyze the code properly. **Recommendations to others considering The Jupyter Notebook:** As a student, I would request for more debugging options **What problems is The Jupyter Notebook solving and how is that benefiting you?** I work on projects that involve running Machine Learning algorithms and visualizing data. I have implemented my Machine Learning course's final project on Jupyter notebook. While working a group project I realized that I could share my notebook over with my teammates which reduced the efforts of having to be physically present there to make modifications to the code. This feature of Jupyter is very useful is a blessing for students who aspire to be data scientists. ### 15. Amazing tool for distributed cooperation **Rating:** 4.5/5.0 stars **Reviewed by:** Maciej S. | Big Data Engineer trainee, Mid-Market (51-1000 emp.) **Reviewed Date:** November 18, 2019 **What do you like best about The Jupyter Notebook?** The ability to quickly share code with extensive comments with others being able to reproduce my results in their own environment. We were able to learn simultaneously on the same excercise and easily push notebook to GitHub account to track its changes and finally convert notebook to usual Python code for further usage as an example external library for other projects. **What do you dislike about The Jupyter Notebook?** It requires setting up environment if not used on cloud. **Recommendations to others considering The Jupyter Notebook:** Easy to use tool, quick setup. I would advise to write as much text comments as possible so they are not embedded in code, it is then easier to switch to pure python code later. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Teaching artificial intelligence introduction and machine learning techniques. We were able to work simultaneously on the same exercise and compare our approaches and discuss them to combine best of our ways. ### 16. The best IDE for Data Science **Rating:** 4.5/5.0 stars **Reviewed by:** Meliksah T. | Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 17, 2019 **What do you like best about The Jupyter Notebook?** - I can work step by step in a modular way. I can turn back and change the queue according to where I was left in my program - it is possible to leave good looking commends using markdowns, whether it's a title kind of huge texts or simple commends. - It is possible to visualize and plot graphs between cells. That's precious to analyze and narrate the analysis. **What do you dislike about The Jupyter Notebook?** It is somewhat an issue to interrupt/stop an on-going process. It mostly does not work for me and I manually have to shut down the kernel. **Recommendations to others considering The Jupyter Notebook:** Use shortcuts, it will make your world better in Jupyter Notebook. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am using Jupyter Notebook to solve Data-Science based problems where I analyze and visualize data, use machine learning models to solve business problems. It's a good place that brings these two together. ### 17. Jupyter Notebook **Rating:** 4.5/5.0 stars **Reviewed by:** abdal A. | Mid-Market (51-1000 emp.) **Reviewed Date:** January 22, 2020 **What do you like best about The Jupyter Notebook?** Jupyter notebook interpreter provides an excellent ide for the python development . The blocks in the jupyter notebook makes the debugging easier **What do you dislike about The Jupyter Notebook?** It does not support flask library of the python therefore the web applications cannot be developed. **Recommendations to others considering The Jupyter Notebook:** jupyter notebook provides easier development and deployement of the python code **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use jupyter notebook for the development of my machine learning models. ### 18. One for All!!! **Rating:** 5.0/5.0 stars **Reviewed by:** shubham s. | Software Engineering Trainee, Banking, Enterprise (> 1000 emp.) **Reviewed Date:** July 19, 2019 **What do you like best about The Jupyter Notebook?** 1. Rich Features like multiple language (python, java, etc), different environment. 2. You don't have to install multiple IDE, Jupyter Notebook can handle all. 3. Easy to use, a single ENTER will compile your code. 4. Good for writing complex structure as you can easily break into chunks and compile in Jupyter Notebook. 5. Best for Presentation and Educational purposes. **What do you dislike about The Jupyter Notebook?** 1. Easy to use not that easy to adapt. Its complex structure sometimes overwhelm you. 2. Not good for heavy usage. 3. Support tool for Notebook files is not that great compare to other software. 4. Without network you cannot access your files which are on cloud. Its good to access file from anywhere but sometime it can be a problem too. **Recommendations to others considering The Jupyter Notebook:** Jupyter Notebook is great for Developers as they can present their work, for students as they can learn their easily, writing code is easy in Jupyter Notebook. **What problems is The Jupyter Notebook solving and how is that benefiting you?** In my company we mostly use Jupyter Notebook for Educational purpose and some time to present statistical information to the clients as i don't find any better way to do it. ### 19. The Python Notebook **Rating:** 5.0/5.0 stars **Reviewed by:** Stanley D. | Data Engineer, Computer Hardware, Small-Business (50 or fewer emp.) **Reviewed Date:** July 02, 2019 **What do you like best about The Jupyter Notebook?** I love the fact that when I am learning something new, I can add text blocks (markdown) to my notebook, as this helps me explain whatever the code in the code block is saying for future purposes. I also love the fact that one can save files as either .ipynb or .py. **What do you dislike about The Jupyter Notebook?** I dislike the fact that when I am running a block of code which will take a while to run (for instance, training a neural network), and I mistakenly close my browser or any other form of interruption occur, I always have to restart my training process (which is annoying), because it doesn't continue anymore. **What problems is The Jupyter Notebook solving and how is that benefiting you?** When learning anything new on python, data science or deep learning, I am able to save everything I have learned so far on one notebook file, without clearing my code. This helps me whenever I want to revise something I have learned before. ### 20. Fastest in Development process **Rating:** 5.0/5.0 stars **Reviewed by:** Sachin P. | Associate Professor, Enterprise (> 1000 emp.) **Reviewed Date:** July 14, 2019 **What do you like best about The Jupyter Notebook?** The code block execution is best feature a developer needs for fast prototyping and debugging. It really helps for small scripting and project types. Most of the time we do need to share a piece of code written, the in built facility in jupyter notebook to export the code is very code. **What do you dislike about The Jupyter Notebook?** Occasionally, for a large project the initialisation of notebook does take some time. Code versioning is kind of feature it lacks. Also the git commit is a lot of tedious task to remove the css block details. I have also seen the kernel does freezes some time, and then not able to restart kernel (rather it needs whole process of re initialize kernel) **Recommendations to others considering The Jupyter Notebook:** Adopt and take ideas to fast prototyping **What problems is The Jupyter Notebook solving and how is that benefiting you?** Majorly scrapping data for data science project. For python scripting used in mini project ### 21. Awesome fast and light weight ... impressed **Rating:** 4.5/5.0 stars **Reviewed by:** Vijay C. | Software Engineer, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** June 20, 2019 **What do you like best about The Jupyter Notebook?** as a developer i need that the tool may must be fast and easy to handle and flexible and this all properties are present into the jupyter notebook. I use it for python and it is i guess the best solution present into the market. am very very happy to use it **What do you dislike about The Jupyter Notebook?** the thing i do not like is it do not have dark theme and i need it to get the feel of a hard code developer. one more thing it do not have direct git support. otherwise all the things are upto the mark **Recommendations to others considering The Jupyter Notebook:** i would like to tell every one to use it for python and it is very fast and good to code and to impress client **What problems is The Jupyter Notebook solving and how is that benefiting you?** i use it to make my POC's and to code and learn python it is the best for the python and fast ### 22. Review for Jupyter Notebook **Rating:** 3.0/5.0 stars **Reviewed by:** Alan L. | Software Developer, Enterprise (> 1000 emp.) **Reviewed Date:** May 29, 2019 **What do you like best about The Jupyter Notebook?** The good features of the jupyter notebook are the data analysis tools, and working as a team on a project and sharing or collaborating on the notebook at the same time. I also find the presentation mode of the jupyter notebook pretty helpful and convenient. **What do you dislike about The Jupyter Notebook?** There is a lot that I don't like about the notebook too. It does not have an IDE integration and as a python developer, i find the lack of linting annoying. Code testing is not feasible through jupyter either, and the version control on it is horrible. You lose track the moment you merge 2 notebooks. **Recommendations to others considering The Jupyter Notebook:** As I mentioned earlier, I would recommend using jupyter for data analysis and basic coding, but not for complete backend development. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Our team has used Jupyter notebook a lot for general data analysis and data mining for R&D work. Although it is good for simple analytical tools, I would not recommend jupyter notebook for full on software development. ### 23. The perfect tool for data science. **Rating:** 5.0/5.0 stars **Reviewed by:** Mridul A. | .NET Developer intern, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2019 **What do you like best about The Jupyter Notebook?** Jupyter notebook for me is a global solution to all my needs for data analysis and predictions. I use it as the ultimate tool for practicing machine learning and deep learning. **What do you dislike about The Jupyter Notebook?** It does have some glitches reguarding the package avaialblities and stuff like kernel refresh rate etc , but all in all it is close to perfect ye improvement would me appriciated. **Recommendations to others considering The Jupyter Notebook:** Good for python practice and data science **What problems is The Jupyter Notebook solving and how is that benefiting you?** Working on laege image datasets and tabular data becomes easy when I use the cell based structure of jupyter. Unlike writing the code all at once and then running it, I could easily rectify error by running cell by cell making it easy for building good models. ### 24. Perfect python coding platform for all time use **Rating:** 4.0/5.0 stars **Reviewed by:** Madushika B. | Enterprise (> 1000 emp.) **Reviewed Date:** January 19, 2020 **What do you like best about The Jupyter Notebook?** Code Fragment by Fragment compiling is the best option **What do you dislike about The Jupyter Notebook?** Not in the IDE form which runs in the browser itself **What problems is The Jupyter Notebook solving and how is that benefiting you?** Python programming Neural Network training ### 25. Best way to write Python scripts **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** August 29, 2019 **What do you like best about The Jupyter Notebook?** It is one of the most simplest and easy way to write Python codes. It can run small snippets in individual cells without the hassle of executing the whole program again and again. It's very intuitive as well as user-friendly. Python Jupyter Notebooks can be easily shared and viewed by others. **What do you dislike about The Jupyter Notebook?** Sometimes it gets stuck when restarting the kernel, and takes a lot of time in the initial application start. It becomes difficult to remember keyboard shortcuts as they are not clearly outlined. The official help documentation is not very useful. **Recommendations to others considering The Jupyter Notebook:** There's no other competitor in the market for Jupyter Notebook, so just go for it. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Results/outputs can be viewed instantly and changes can be made on the fly. Python jupyter notebooks can be shared and viewed easily. ### 26. Greate IDE for machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Amith D. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 14, 2020 **What do you like best about The Jupyter Notebook?** Best thing is can compile line by line or block by block. Also easy to share file to others code with outputs. **What do you dislike about The Jupyter Notebook?** In jupyter notebook it is hard to copy whole file at once. **What problems is The Jupyter Notebook solving and how is that benefiting you?** For machine learning it is best IDE for python development. ### 27. Most user friendly platform to learn and solve problems in Python. **Rating:** 4.0/5.0 stars **Reviewed by:** Ankit S. | SDE Intern, Enterprise (> 1000 emp.) **Reviewed Date:** November 29, 2019 **What do you like best about The Jupyter Notebook?** Ease of use, easy compilation, increases productivity. **What do you dislike about The Jupyter Notebook?** Managing the code is a bit difficult else a very good platform to work on. **Recommendations to others considering The Jupyter Notebook:** Use it for improved productivity. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It helped me to speed up the process while I am programming. ### 28. An amazing IDE for python development **Rating:** 4.0/5.0 stars **Reviewed by:** Kiran S. | Student Worker, Enterprise (> 1000 emp.) **Reviewed Date:** October 11, 2019 **What do you like best about The Jupyter Notebook?** I love the fact we can run the code in individual cells so during testing we do not have to run the entire code again. **What do you dislike about The Jupyter Notebook?** I do not like the fact it uses .pyc file instead of .py file. I also do not like the fact that I cannot runt .py files. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Developing in python for all projects in school and at work. ### 29. Jupyter Notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** January 02, 2020 **What do you like best about The Jupyter Notebook?** The GUI interface and the heading descriptions which i liked the most of Jupyter notebook. Best thing is it provides great learning as we can interpret each line of code **What do you dislike about The Jupyter Notebook?** I dislike the most of Jupyter notebook is debugging or bugs is tough hence have to lot of work to debug code **Recommendations to others considering The Jupyter Notebook:** As we know Python is an interpreter langage and trust me for that Jupyter is best framework for executing line by line code. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am writing the day to day python code using jupyter notebook and it workes very well. ### 30. Great n Fast in converting ideas to implemntation **Rating:** 4.5/5.0 stars **Reviewed by:** Sachin P. | Senior Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 20, 2019 **What do you like best about The Jupyter Notebook?** The step wise execution of cell in kernel is the best feature an developer can ask for. Used many other editor where we need to run whole code or need to manually select the piece of code but Jupyter notebook comes to rescue. Also the cell markdown which I used majorly to explain the working of piece of code. Other than this download feature to directly export file into .py format **What do you dislike about The Jupyter Notebook?** Majorly when committing a notebook in GIT it takes all the changes of checkpoint/output which then is considered as new change where actually there is no change in checkpoint. Rerunning the importing of package does not takes the changes into consideration, need to restart the kernel. Some time the kernel just hangs, needs to restart the kernel; occasionally it takes lot of time to restart. The absence of variable viewer. **What problems is The Jupyter Notebook solving and how is that benefiting you?** At personal & work level I do write a python code to solve business problem. Be it data scrapping, data manipulation or development of Machine learning/Deep Learning models. It does helps to solve the problem of lack of efficient debugger in python when we run the code line by line and we come to know where the exact error is ### 31. Makes Python Enjoyable **Rating:** 4.0/5.0 stars **Reviewed by:** Hope A. | Research Assistant, Mid-Market (51-1000 emp.) **Reviewed Date:** June 16, 2019 **What do you like best about The Jupyter Notebook?** Among all the other features of Jupyter notebook, I'd say the best one is the debugging tools. It has a very good client-server layout on the localhost. Adding HTML components to the notebook is very easy along with single line code execution. Exporting and importing work from the notebook is super easy too, and it just makes python development a very smooth process. **What do you dislike about The Jupyter Notebook?** Jupyter notebook most often comes as a part of a bigger set of tools with Anaconda. This makes it incredibly slow to start and sometimes it even freezes while it is still running. That is the only downside of it, in my opinion. **Recommendations to others considering The Jupyter Notebook:** I think Jupyter Notebook is a must have for the field of data science. Libraries such as scikit and numpy work blissfully with this. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use Jupyter Notebook a lot to manage python projects mostly in data science at UIUC. I think prototyping a project and just visualizing is very easy through the notebook. It is a great IDE and is much better than a simple text editor. ### 32. Instruction Use **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** August 30, 2019 **What do you like best about The Jupyter Notebook?** Interactive! Trying to teach coding with Powerpoint slides is just snooze-ville. With Jupyter Lab it is fully interactive and with Hub I can keep track of which students are where in the material plus with NBgrader I can offload 75% of my grading so the students get faster feedback and I can focus on the scripts/programs that can't be done with it (yet). The whole eco-system forming around it is great. The table of contents extension works great. **What do you dislike about The Jupyter Notebook?** Not really a problem with Juypter but the vendors need to step up and support the kernels for their products. A Powershell kernel is available but having one from Microsoft that is supported would be better. A Cisco IOS kernel or better yet a tie-in to PacketTracer would be awesome. **Recommendations to others considering The Jupyter Notebook:** It's not just for programming. If you are teaching anything give it a try. The callysto.ca project is moving all grade 5-12 curriculum to it. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Faster feedback to students. Less marking of repetitious stuff for me. Students interact a lot more in lectures. Faster for instructor to add material. ### 33. Jupyter Notebook **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** January 03, 2020 **What do you like best about The Jupyter Notebook?** The best thing which i like about jupyter is we can run line by line python code and stop the execution anywhere any point of time. **What do you dislike about The Jupyter Notebook?** it is a bit tough to handle with keyboard shortcut key, Shortcuts are complicated, it can be easier. **Recommendations to others considering The Jupyter Notebook:** I would recommend jupyter notebook to run the python code for daily work and task as it is true interpreter framework. **What problems is The Jupyter Notebook solving and how is that benefiting you?** we solve the data science problems mostly . We are using Jupyter notebook for writing day to day code related to machine learning. ### 34. Best IDE for python developmet **Rating:** 4.0/5.0 stars **Reviewed by:** Thanuja G. | Student, Small-Business (50 or fewer emp.) **Reviewed Date:** January 21, 2020 **What do you like best about The Jupyter Notebook?** Code fragment by fragment compiling possibility **What do you dislike about The Jupyter Notebook?** It uses a browser as the platform. Has no specific IDE **Recommendations to others considering The Jupyter Notebook:** Using jupyter as a python IDE has to be don with other IDE on the side **What problems is The Jupyter Notebook solving and how is that benefiting you?** Python development Neural network training Fast fourier transform ### 35. python coder's paradise **Rating:** 4.5/5.0 stars **Reviewed by:** kumar k. | Assistant system Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 02, 2019 **What do you like best about The Jupyter Notebook?** the integration with web browser excites me a lot doesn't feel like you are doing heavy coding. Also you need to use stack overflow/stack abuse websites along with coding that is quite easy and quick. **What do you dislike about The Jupyter Notebook?** Nothing much to be honest. It is much much better than any other IDE i have used for python programming **Recommendations to others considering The Jupyter Notebook:** Great place to code as it has individual cells that can run at a time. Therefore it is easy to understand the code. It is also easy to work with as most of us do a lot of web browsing and it feels the same. That is a good to have feature. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I did all my work on the jupyter notebook. This is how it impacted my work. ### 36. The best tool for Data Professionals **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 12, 2019 **What do you like best about The Jupyter Notebook?** That we can code , save the outputs - like graphs and images -and create a documentation in a single place. **What do you dislike about The Jupyter Notebook?** When we are training big ML models, the Jupyter notebook sometimes just crash. **Recommendations to others considering The Jupyter Notebook:** - Follow all setups,carefully , that are discribed in Jupyter.org website - Start with a small projects to understand the main features , and after that keep improving and learning more advanced features and integrations with another services - Be creative :) You have a world of possibilities inside a Jupiter Notebook - Follow the community channels **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data Science Machine Learning ML Documentation RPA Benefits : All in one integration ( code , visualization, documentation ) ### 37. The best IDE for Data Science and Machine Learning Engineers **Rating:** 5.0/5.0 stars **Reviewed by:** Raghuvar P. | Big Data Developer & AWS Certified Solution Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** May 30, 2019 **What do you like best about The Jupyter Notebook?** It's not I like Jupiter Notebook, I love it. It has some flaws but I still love it. It is free and open source. the UI of Jupiter notebook is clean and simple, anyone can get it within minutes. It supports multiple languages, mainly Python and R. Jupiter Notebook has cells, where we write the code and you have to run the cell individually. It helps in ML and Data Science part where if you import a data once you don't have to re run and import again. The visualisation provided is amazing. The keyboard shortcuts are also y handy. You have to run the Jupiter Notebook on browser, you can run it on server also. Also, you can export the code in off, html and many more **What do you dislike about The Jupyter Notebook?** There are some flaws, the code workflow is not linear which makes it hard to test he code. To import the large data file it gets hang. **Recommendations to others considering The Jupyter Notebook:** For people who are stating on Data Science and Machine Learning Jupiter Notebook is must. It gives you lot of things, provides good support for libraries such as pandas, Numpy, sci-kit learn. It is very easy to import it and work with these libraries. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Being a Data Scientist, Jupiter Notebook is inevitable part of my life. I use it to create Machine Learning models, analysis of customers data, scraping the data from web to add into ML model, and many more. I have used Jupiter notebook on Google Cloud also so that it will work fast and run continuesly. ### 38. Review of Jupyter notebook **Rating:** 4.0/5.0 stars **Reviewed by:** Arun S. | Software Engineer, Computer Software, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2019 **What do you like best about The Jupyter Notebook?** The User Interface is very interactive. I love the concept of having cells and being able to execute them separately. It makes my life much easier to run very big codes.. **What do you dislike about The Jupyter Notebook?** I find the kernel gets hung quite often especially when doing some tedious calculations. And also, the option to add support for other languages like R is quite cumbersome. **Recommendations to others considering The Jupyter Notebook:** If you are someone with naive experience in python or R, this will the ideal tool to learn and easily pick up the skills. This software will make your life easy. The best part is it can support multiple versions of python along with R kernel. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I have been trying to do lot of preprocessing of data which is then supplied through pipeline for data analytics models. ### 39. The best IDE for Python and Machine Learning: simple, effective and pure love **Rating:** 4.5/5.0 stars **Reviewed by:** Vikas P. | Associate System Engineer , Small-Business (50 or fewer emp.) **Reviewed Date:** May 28, 2019 **What do you like best about The Jupyter Notebook?** Honestly, Jupyter Notebook is my favorite IDE for coding in Python, especially Machine Learning. It is open source and easy to install. Jupyter Notebook has cells and you can run each cell individually. It helps you to understand the code line by line. They provide a lot of exporting options such as python, pdf, HTML and many The user interface is simple and amazing, You can import many libraries very easily and use it. One of the best things is the graphs, nice beautiful. Command line shortcuts are also very handy to use. **What do you dislike about The Jupyter Notebook?** Currently, to import libraries it takes more time, so it will be good if they can improve it. The code workflow is non-linear which makes it little difficult to debug the code. Also, if your data is big and want to import in a data structure it might hang or will not do at all. **Recommendations to others considering The Jupyter Notebook:** If you are just starting in Data Science and Machine Learning then there is no better alternative than Jupyter Notebook. Just install it and have fun. Highly recommended..!!! **What problems is The Jupyter Notebook solving and how is that benefiting you?** It solves tons of problems for me. Even for my normal python coding, I use Jupyter Notebook as it provides line by line output. For Machine Learning related stuff I use Jupyter Notebook extensively. ### 40. Excellent notebook ! Maily used for python and R **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 24, 2019 **What do you like best about The Jupyter Notebook?** - browser based IDE - Ability to change kernel - Growing support for languages - Good visualizations capabilities - Presentation mode - Easy collaboration - Documentation can be done along with the code - selective cell level execution ( really helpful in data science work ) **What do you dislike about The Jupyter Notebook?** - In memory variables can be overwritten - Long notebook are a nightmare to handle - Kernel death can occur **What problems is The Jupyter Notebook solving and how is that benefiting you?** I mainly use jupyter notebook to run data analysis, data visualization and machine learning implementation using python for data science work ### 41. A necessary tool for data science **Rating:** 4.5/5.0 stars **Reviewed by:** Vatsal P. | Student, Enterprise (> 1000 emp.) **Reviewed Date:** May 08, 2019 **What do you like best about The Jupyter Notebook?** Jupyter Notebook is interactive, fast, flexible, and portable. The best feature I like is the ability to run some lines of code separately from other lines of code. This helps a lot while building and debugging a project. It also supports multiple kernels making it easier to write code in many environments. And because it's a notebook server, it runs in a browser with all features of a typical desktop application, so it doesn't take up too much resources on a computer and makes it accessible on an average laptop / PC. **What do you dislike about The Jupyter Notebook?** Notebooks are good for experimentation purposes, but using them to build real software is tedious and time consuming. Also, a small nitpick is, you have to use a console to start notebooks unless you are using some kind of software which integrates Jupyter, which can sometimes be frustrating. **Recommendations to others considering The Jupyter Notebook:** Avoid using it for production level coding. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I have done some projects on Jupyter, and it has never come in the way of solving a problem, and that is one of the best things that a tool can aim for, to get work done without you realizing that you are using that tool. ### 42. Python App Development with jupyter notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Oluwatosin O. | Mr, Mid-Market (51-1000 emp.) **Reviewed Date:** June 13, 2019 **What do you like best about The Jupyter Notebook?** The Jupyter Notebook allows users to have access to fast prototyping.It is embedded into web browser and gives visual and quick results and easily allows for debugging. It is useful when drawing up plots with your data **What do you dislike about The Jupyter Notebook?** It is more suited to exploring than production Codes are difficult to structure when used for production. **Recommendations to others considering The Jupyter Notebook:** Jupyter notebook is highly recommended for new users sto writing and debugging python codes **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter has supported and given increased efficiency to testing of codes on python scripts that i developed ### 43. I use this product a few years and I like it so mucc. **Rating:** 4.0/5.0 stars **Reviewed by:** Andrei K. | Data Scientist, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** November 14, 2019 **What do you like best about The Jupyter Notebook?** I can do fast analytics or use it for calculate something **What do you dislike about The Jupyter Notebook?** I don't like that I haven't seen some new features in this product **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use this product before write code in IDE, because it easy to check and test my code. ### 44. good choice for fast python code testing **Rating:** 4.5/5.0 stars **Reviewed by:** Sergio R. | Small-Business (50 or fewer emp.) **Reviewed Date:** November 12, 2019 **What do you like best about The Jupyter Notebook?** The way I can isolate small parts of code in different rows and test them separately **What do you dislike about The Jupyter Notebook?** go back to the top to run specific row again **Recommendations to others considering The Jupyter Notebook:** Nice for testing your Python code, including graphic results **What problems is The Jupyter Notebook solving and how is that benefiting you?** data science, machine learning ### 45. Clean User Interface for Cloud Computing **Rating:** 5.0/5.0 stars **Reviewed by:** Dami A. | Senior Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 06, 2019 **What do you like best about The Jupyter Notebook?** The user interface is really clean and the dashboard is extremely simple and easy to use. It is easy to locate and click the pertinent icons. The functionality is unprecedented and the access to different languages is available. I use it to run python code and I am able to access a variety of libraries that I need. I have used other user interfaces such as Spyder and IPython and Jupyter Notebooks is my favorite because of the simplicity of use and navigation. **What do you dislike about The Jupyter Notebook?** I dislike the error tracking window that shows up when you open Jupyter Notebooks. The window does not automatically close when I exit out of the Jupyter Notebook on the web application. I usually forget to close the window since it is not on the web application but instead running on the desktop background. Also, it would be useful if the navigation to try to go up a directory when searching through a folder structure was available on the left hand side. **Recommendations to others considering The Jupyter Notebook:** The Jupyter Notebook is an open source platform that allows interactive sharing and live coding. I would recommend that you take advantage of this free platform as well as try out R and Julia as you can program in Python, R, and Julia on Jupyter Notebook. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use Jupyter Notebooks as my preferred platform to create, run, test, and debug python code. Some of the codes I have written in the past have been used to perform web, document and, text scraping using Regex and BeautifulSoup. I have also written Machine Learning algorithms including supervised and unsupervised learning algorithms for example k-means clustering, k-nearest neighbors classification, random forest, neural networks. I have also accessed multiple libraries for example scipy, numpy, scikit-learn, pandas, matplotlib, and IPython. ### 46. best data exploration tool **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 20, 2019 **What do you like best about The Jupyter Notebook?** being able save outputs and results and plots **What do you dislike about The Jupyter Notebook?** Not ideal for collaboration and version control **Recommendations to others considering The Jupyter Notebook:** jupyter labs **What problems is The Jupyter Notebook solving and how is that benefiting you?** prototyping, testing, data exploration ### 47. Great for data exploration **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Alternative Medicine | Mid-Market (51-1000 emp.) **Reviewed Date:** November 13, 2019 **What do you like best about The Jupyter Notebook?** I love being able to run snippets in cells **What do you dislike about The Jupyter Notebook?** I dislike not having supoort for classes **Recommendations to others considering The Jupyter Notebook:** Just give it a shot, it doesn't take long to learn how to use it **What problems is The Jupyter Notebook solving and how is that benefiting you?** As a data scientist I use it for data exploration and analysis. It's great for setting up a proof of concept. ### 48. Super prototyping tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** November 21, 2019 **What do you like best about The Jupyter Notebook?** ease of use, flexibility, ability to tell a story with analysis and graphs **What do you dislike about The Jupyter Notebook?** Version control is not easy and it is not suitable for collaboration **Recommendations to others considering The Jupyter Notebook:** Custom ipykernels can be made for pipenv or conda enviroments **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data exploration and prototyping, helpful aid when writing a larger code base ### 49. Writing python scripts never been easier **Rating:** 5.0/5.0 stars **Reviewed by:** Tabresh R. | Manager, Enterprise (> 1000 emp.) **Reviewed Date:** May 24, 2019 **What do you like best about The Jupyter Notebook?** It is a wonderful tool for tasks like exploratory data analysis, result presentaion and insight sharing. **What do you dislike about The Jupyter Notebook?** It is almost impossible to enable good versioning. There is no IDE integration, no linting and no style correction. **Recommendations to others considering The Jupyter Notebook:** Go for it if you have data analysis and presentation requirement **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use it to write python codes for Web scraping and also data analysis on excel. ### 50. super easy for first steps of DA and DS **Rating:** 4.5/5.0 stars **Reviewed by:** Elham K. | Machine Learning Engineer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2018 **What do you like best about The Jupyter Notebook?** easy to write python code to learn about data, visualize it. Also, I use it a lot for my presentation. **What do you dislike about The Jupyter Notebook?** for what I use it there no negative point. I will not use it for production-ready code though. **What problems is The Jupyter Notebook solving and how is that benefiting you?** data analysis, visualizing, runing POC models ## The Jupyter Notebook Discussions - [Why is Jupyter notebook so popular?](https://www.g2.com/discussions/why-is-jupyter-notebook-so-popular) - 1 comment, 1 upvote - [What is the use of Jupyter notebooks?](https://www.g2.com/discussions/what-is-the-use-of-jupyter-notebooks) - 1 comment, 1 upvote - [Do you have any plans to keep allowing users to save jupyter notebooks without obligating them to use "cloud services"?](https://www.g2.com/discussions/do-you-have-any-plans-to-keep-allowing-users-to-save-jupyter-notebooks-without-obligating-them-to-use-cloud-services) - 1 comment, 1 upvote - [What is the best way to debug using Jupyter notebook?](https://www.g2.com/discussions/14324-what-is-the-best-way-to-debug-using-jupyter-notebook) - 1 comment, 1 upvote - [What is The Jupyter Notebook used for?](https://www.g2.com/discussions/what-is-the-jupyter-notebook-used-for) - 1 comment - [View The Jupyter Notebook pricing details and edition comparison](https://www.g2.com/products/the-jupyter-notebook/reviews?page=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-08+19%3A18%3A08+-0500&secure%5Bsession_id%5D=f6c69e16-6c28-43f7-949f-c24939107053&secure%5Btoken%5D=a20bfd174568e1ebc7d27514f72071323ffa9213bca6745c3d500ef79962a5ec&format=llm_user) ## The Jupyter Notebook Integrations - [GitHub](https://www.g2.com/products/github/reviews) - [Google Colab Copilot](https://www.g2.com/products/google-colab-copilot/reviews) - [machine-learning in Python](https://www.g2.com/products/machine-learning-in-python/reviews) - [PythonAnywhere](https://www.g2.com/products/pythonanywhere/reviews) - [Turing.com](https://www.g2.com/products/turing-com/reviews) ## The Jupyter Notebook Features **AI Copilot** - AI Copilot **Generative AI** - Generative AI **For Developers** - For Developers **Game Development** - Game Development **Deployment Management** - Deployment Management **Code Development** - Code Development **Code Editing** - Code Editing **Website Development** - Website Development **Web/Mobile App Development** - Web/Mobile App Development **Debugging** - Debugging **Data Modeling** - Data Modeling **Graphical User Interface** - Graphical User Interface **Functionality ** - Ease of Use - File Management - Multi-Language Support - Customization - Straight-Out-the-Box Functionality - Help Guides - Patching & Updates **Agentic AI - AWS Marketplace** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration ## Top The Jupyter Notebook Alternatives - [Eclipse](https://www.g2.com/products/eclipse/reviews) - 4.3/5.0 (3,097 reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - 4.6/5.0 (766 reviews) - [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) - 4.3/5.0 (355 reviews)