--- 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. Using Python with Jupyter Notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Pablo S. | Data Science Fellow, Small-Business (50 or fewer emp.) **Reviewed Date:** July 26, 2019 **What do you like best about The Jupyter Notebook?** Jupyter notebook is a great way to be able to present your code and work in Python. Importing python scripts are easy and the finished product looks great. **What do you dislike about The Jupyter Notebook?** Sometimes the Jupyter Notebook randomly crashes, but that problem could be a local device issue. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Solving statistical problems and large data wrangling tasks have become easier with Jupyter notebook ### 2. Easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** October 10, 2019 **What do you like best about The Jupyter Notebook?** The UI is great and I use it all the time for analysis and stuff. For my ML and RL assignments too, this product is one of the requirements **What do you dislike about The Jupyter Notebook?** gets cluttered very easily and is kinda slow. But you can just write python scripts and call functions in your notebook **What problems is The Jupyter Notebook solving and how is that benefiting you?** machine learning and now reinforcement learning stuff ### 3. It's good, but could be better **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Legal Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 01, 2019 **What do you like best about The Jupyter Notebook?** I like Jupyter. It makes my life easy because everyone uses it to code in Python -- (well, almost everyone). Jupyter notebooks make nice looking layouts for reports, especially for school and for quick work reports. When you need them to be beautiful client projects, though, they're not perfect. **What do you dislike about The Jupyter Notebook?** I don't love that Jupyter is so non GUI - based. If you do not know how to use your command line well, then Jupyter is really tricky. Plus, there are lots of bugs that I run into and take 100 years to solve. For example, using Jupyter lab (an offshoot of Jupyter notebook) sometimes the comment-shortcut functionality fails and I have to maneuver to get it back by installing and reinstalling everything. **Recommendations to others considering The Jupyter Notebook:** Try their Jupyter lab too, especially if you use RStudio for R. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I do lots and lots of machine learning with Jupyter notebook and its functionality alongside other Python packages like Keras and Pandas and Sci-kit learn. Making Jupyter notebook ipynb files of machine learning algorithm model building code is easy and looks navigate-able to readers. ### 4. Jupyter notebook for data analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** November 22, 2019 **What do you like best about The Jupyter Notebook?** Best tool for data analysis especially I'm using for Python 3 for data cleaning, wrangling etc. **What do you dislike about The Jupyter Notebook?** nothing yet noticed from my 1 year of experience **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data Analysis, coding in Python, visualization etc. ### 5. The best way to debug your code **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 08, 2019 **What do you like best about The Jupyter Notebook?** If you want to use Python and have problems with knowing where your code is going wrong, just use Jupyter Notebook. It's native with Anaconda and by using it you can break your code up and run it piece by piece to see where the error is. **What do you dislike about The Jupyter Notebook?** There's really not much to dislike about this. I guess the one thing is that you have to copy and paste your code from the notebook to a module, which sucks to an extent, but things could be worse. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I've used this to solve many business problems, but most recently I used it to make sure that I was gathering all of the data rather than a subset accidentally. ### 6. Best tool for reports **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** October 01, 2019 **What do you like best about The Jupyter Notebook?** Great tool to test code and to do reproducible data analysis as is easy to share with other people. **What do you dislike about The Jupyter Notebook?** Sometimes is difficult to install new kernels. **Recommendations to others considering The Jupyter Notebook:** Spread its use. The more the merrier. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data analysis and sharing of reports/code ### 7. """'My View on Jupyter Notebooks""" **Rating:** 5.0/5.0 stars **Reviewed by:** Manju D. | Mid-Market (51-1000 emp.) **Reviewed Date:** September 16, 2018 **What do you like best about The Jupyter Notebook?** Jupyter Notebook is best IDE for Python and Machine learning learners .It is also best for SQL ,R language etc. Jupyter Notebooks, formerly known as IPython Notebooks. These points ,which are like in Jupyter Notebooks is given following .. 1. Its compile the code section by section . 2. I compiled many language like python,R language. 3. Its directly creates a PDF into HTML files. 4. Notebooks has the ability to re-run individual snippets. 5. In a notebook you can edit those snippets before re-running them. 6. Visualizing of Pandas data frames is awesome like excel sheet. 7. Importing python library in easy way . 8. Interface and user friendly compiler. 9.Easily shareable 10. Time of execution is so fast ,when we press shift + Enter and get instant output of code. 11.Notebook files, a HTML web page is automatically generated whenever the file is saved, which can immediately be viewed in any browser . **What do you dislike about The Jupyter Notebook?** There is nothing to hate Jupyter notebooks but there are some lacks in Jupyter ,I thinks it will be finished in next version of updation . 1. Testing code is so hard . 2. The workflow of Jupyter is not linear . 3. Every user is running a web server all the time. 4. Its difficult to track code. **Recommendations to others considering The Jupyter Notebook:** I recommends those python learners and Machine learners to switch to Jupyter Notebook ,feel to amazing . **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am learning machine learning using Jupyter Notebooks and solve my problems. ### 8. Jupyter , the best IDE for Data science learners **Rating:** 4.5/5.0 stars **Reviewed by:** abhinav j. | OPEN SOURCE DEVELOPER , Small-Business (50 or fewer emp.) **Reviewed Date:** August 21, 2018 **What do you like best about The Jupyter Notebook?** It is freely available. It allows to edit and run the notebooks via a web browser, also, it allows adding HTML components from images to videos. It is designed to create compelling presentations as it integrates code and its output into a single document that combines visualizations, narrative text, mathematical equations, and other rich media. Besides, all of this Jupyter notebooks easily convert into PDF and HTML files. It even allows running other languages besides Python, like R, SQL, etc. It’s perfect for those who are just starting out with data science! **What do you dislike about The Jupyter Notebook?** Take some time while importing the modules for the first time. Not possible to merge two jupyter notebooks. If changing the name of a variable is done in one place, you have to rename it in other places manually. **Recommendations to others considering The Jupyter Notebook:** It is the all-time best IDE for all the machine learners and data scientists. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I'm using jupyter often for solving data science problems, visualization, and Data analysis. ### 9. The best IDE or use it anywhere software for developing python code. **Rating:** 5.0/5.0 stars **Reviewed by:** ANAY P. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 20, 2018 **What do you like best about The Jupyter Notebook?** It's super easy to use. The ease of usage comes with its web based GUI. The best thing about jupyter notebook is that it helps in running small pieces of code written part by part in different sell which helps to keep checking the feature I am currently developing part by part. Another feature I like the most about Jupyter Notebook is that once I am done developing the different pieces of code for my solution its very easy to organise the whole file by moving the cells movement feature in Jupyter Notebook. And the complete solution it very easy to integrate into google colab for training neural network models. **What do you dislike about The Jupyter Notebook?** There is nothing that I dislike about the Jupyter notebook. **Recommendations to others considering The Jupyter Notebook:** If you are a Python Developer. Then this is the best piece of software that you can use for development. Highly recommended. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am using it from writing code in python, my usage of jupyter notebook for development ranges from writing python code for data science to developing web services or any web application development. ### 10. Dynamic platform for data analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Benjamin Chase W. | Business Analyst, Financial Services, Enterprise (> 1000 emp.) **Reviewed Date:** January 28, 2019 **What do you like best about The Jupyter Notebook?** Far reaching use cases from python to sql with ease of saving and sharing notebooks. Incredibly easy to use interface that’s intuitive right out of the gate. **What do you dislike about The Jupyter Notebook?** Lack of automation abilities is limiting and may drive users to other suites, but for use on servers and enterprise applications, Jupyter doesn’t have many competitors at the moment. **Recommendations to others considering The Jupyter Notebook:** The best use case for this system is enterprise wide but using in conjunction with python on a personal computer will make keeping scripts organized and documented an absolute breeze. **What problems is The Jupyter Notebook solving and how is that benefiting you?** All data analysis is done through jupyter, while running small scripts is done in other platforms, Jupyter is the go to suite for long term projects. ### 11. My Experience in using Jupyter notebook **Rating:** 5.0/5.0 stars **Reviewed by:** Haripriya B. | Summer Intern, Internet, Small-Business (50 or fewer emp.) **Reviewed Date:** August 29, 2018 **What do you like best about The Jupyter Notebook?** It is very useful to debug python code part by part and need not wait longer time to run the whole code at once. It enables us to run a code line by line which is the best part i would say. **What do you dislike about The Jupyter Notebook?** Nothing to dislike except the times when i get stuck which port the jupyter is opening as if 8888 is occupied then i need to figure it out. **Recommendations to others considering The Jupyter Notebook:** Its really good to use jupyter for large volume code because of its section by section compilation or line by line interpretation. I prefer and recommend it for all machine learning and deep learning purposes. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I run my neural networks python code in jupyter and its the best way to do because the volume of the code is large and time consuming to run it on terminal. So i prefer jupyter whenever i run a python code. ### 12. Jupyter review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** September 01, 2019 **What do you like best about The Jupyter Notebook?** It is easy to understand the results of each part of the code using Jupyter notebook. **What do you dislike about The Jupyter Notebook?** I think its difference with other coding environments is not so good. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use it to run codes. ### 13. Python environment done right **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Accounting | Mid-Market (51-1000 emp.) **Reviewed Date:** October 23, 2018 **What do you like best about The Jupyter Notebook?** I think the ability to test and build out solutions step by step is very intuitive and efficient. Often times when I am developing a script, I run into issues that are sometimes hard/difficult to pinpoint. When breaking down the script development, I think it creates a efficient and effective process that enables me to create my best scripts. **What do you dislike about The Jupyter Notebook?** In the files Navigator, there's a lot of noise. I have so many folders/files on my computer that aren't even remotely relevant to script development. I think expanded abilities to filter and customize this view would be very beneficial. **Recommendations to others considering The Jupyter Notebook:** Easy tool running from Anaconda. A great stack all around! **What problems is The Jupyter Notebook solving and how is that benefiting you?** I create scripts for a wide array of issues and challenges. There is no single problem, and listing out the problems would be extremely challenging. Python is very versatile and flexible - making it great for problem solving and manipulating/managing data. I think what's great about jupyter is the ability to test in increments and build a solution out from start to end in a productive and efficient fashion. ### 14. Student perspective **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** February 09, 2019 **What do you like best about The Jupyter Notebook?** It allows compiling code in parts. Step by Step output can be viewed to make debugging easier. It is available free of cost. The interface is very easy to use and learn. Allows saving files in various formats. Importing exporting notebooks are easy. Gives a lot of compatibilities. **What do you dislike about The Jupyter Notebook?** Every user is running a web server all the time. Uses more battery. Background running. The server does not shut down on closing jupyter. **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 scraping. I have coded Machine Learning algorithms including supervised and unsupervised learning algorithms. I have also accessed multiple libraries for example scipy, numpy, scikit-learn, pandas, matplotlib, and IPython. ### 15. Reviewing the amazing jupyter notebook **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** April 02, 2019 **What do you like best about The Jupyter Notebook?** can run interactively, do not need to run everything from scratch since you work with cells, can be used to save output states as they are to show the output to others, markdown, can be exported to python, can write terminal commands **What do you dislike about The Jupyter Notebook?** should be like google colab where i send a link to it online and automatically loads dataset from the web instead of my laptop **Recommendations to others considering The Jupyter Notebook:** totally awesome product. use if you do not want to rerun parts of your program. Amazing for experimentation. **What problems is The Jupyter Notebook solving and how is that benefiting you?** quick prototyping and saving time, sharing code via jupyter notebook ### 16. Used as an undergraduate for coursework **Rating:** 0.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** June 18, 2019 **What do you like best about The Jupyter Notebook?** I like that it makes it easier to access projects from different locations. **What do you dislike about The Jupyter Notebook?** The interface doesn't do much for me. Is much easier just coding in the terminal directly, than having to go through the notebook. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I used Jupyter Notebook to analyze reaction times to neurological stimuli. It is easy to pair with arduino boards. ### 17. I am currently working on research project in Brain tumor segmentation **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** June 06, 2019 **What do you like best about The Jupyter Notebook?** I use jupyter notebook because it is easy to edit codes and run code with quick edits as it save the progress and data. **What do you dislike about The Jupyter Notebook?** Running code on Jupyter impacts the run time of the code. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I am solving machine learning and deep learning problem using the Jupyter Notebook. ### 18. An amazing tool for teaching computer programming **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** July 24, 2018 **What do you like best about The Jupyter Notebook?** I love the way jupyter notebooks allows me to mix code and explanations. The first time I discovered it, I realized the significant amount of possibilities that jupyter can offer to both teachers and students. I like the possibility of having different cells with code, and run only some of these cells instead of all of them. **What do you dislike about The Jupyter Notebook?** I do not like that jupyter notebooks does not allow me to profile programming code. Although jupyter is very useful for explaining programming, it does not offer a litter window (or something similar) with variables, values, etc. I do not either like how jupyter behaves with code requiring a lot of memory. In some examples of use, the notebook did not answer until several minutes after I run a cell. **Recommendations to others considering The Jupyter Notebook:** I recommend using Jupyter for teaching computer programming if you want to mix text explanations and some examples of code in the same document. The main advantage of using jupyter notebooks is that you can run small cells with code and see the results of only that code. On the other hand, you can also use Jupyter for your notes about code and examples. However, if you only want to run a program, I recommend using an IDE instead of Jupyter. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I mainly use Jupyter for teaching computer programming using python. Notebooks allow me to include text and code as part of my classes. Those, I can write short explanations about different structures or instructions, and a little example of code that can be tested in the same environment. I also use Jupyter to store new contents about different libraries. I write the main ideas of the purpose and ways of handling such libraries, and afterward, I include some examples of code and results. can ### 19. Best, **Rating:** 5.0/5.0 stars **Reviewed by:** Ankit J. | Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2018 **What do you like best about The Jupyter Notebook?** I have been using Jupyter Notebook for just more than a year. One thing I would say is, It has some amazing features which makes you biased towards any software of that sort. I used this for Python Kernel and has helped me a lot in maintenance of the Code. The Performance that you get with Jupyter Notebook is Untouchable. Even the heavy libraries like Seaborn and Scikit learn run like in no time. Absolutely love it. Must try. **What do you dislike about The Jupyter Notebook?** Configuration management can be little hectic and confusing. For example, to change default path of the libraray, you got to do plenty of work by looking online. **Recommendations to others considering The Jupyter Notebook:** Once you try it, You will start loving it. It is very easy to use and has amazing features. You ll focus only on the logic that you should be worried about. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I typically use Jupyter Notebook everyday and run Machine Learning Algorithms. I have developed some pretty cool Predictive models and Jupyter has made my life so easy in that process by handling unnecessary abstraction. ### 20. Quick for coding and User Friendly **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek B. | Research Assistant, Small-Business (50 or fewer emp.) **Reviewed Date:** November 28, 2018 **What do you like best about The Jupyter Notebook?** In a notebook you can edit those snippets before re-running them. It compiles the code section by section. Time of execution is pretty fast. HTML web page is automatically generated whenever the file is saved, which can immediately be viewed in any browser. **What do you dislike about The Jupyter Notebook?** Difficult to track code and testing is a bit difficult. Also workflow is not linear. **Recommendations to others considering The Jupyter Notebook:** Jupyter Notebook is amazing for Machine Learning. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I write my Python code in Jupyter Notebook. Data Cleaning, Visualization and machine learning models were created. ### 21. Review of Jupyter notebook **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** February 19, 2019 **What do you like best about The Jupyter Notebook?** It's possible to run and re-run each and every line of code. **What do you dislike about The Jupyter Notebook?** there is no debugging integration in jupyter notebook **Recommendations to others considering The Jupyter Notebook:** Easy to use **What problems is The Jupyter Notebook solving and how is that benefiting you?** Analyzing and visualizing data and also doing machine learning projects. ### 22. Jupyter notebook is best for Machine Learning developers **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 30, 2018 **What do you like best about The Jupyter Notebook?** I have seen so many people already doing a lot of Data science and Machine learning stuff in the Jupyter notebook that I am already convinced that this is the best. Its fast, light and elegant looking. You can later revisit the code and notes that you write like we do with an actual notebook. **What do you dislike about The Jupyter Notebook?** I wish Jupyter notebook had autocompletion features also like most IDEs have. I know there are some plugins available in market for that. But, it should be made a default feature. **Recommendations to others considering The Jupyter Notebook:** If you code in python and you are going to do some Machine Learning and Data Science stuff then Jupyter notebook is a great place to write code and preserve it like notes in our notebooks. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Jupyter notebook provides a great place to write code and notes for python developers. It is already very popular among the Machine Learning community. ### 23. Amazing for Data Science/Machine Learning **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** October 19, 2018 **What do you like best about The Jupyter Notebook?** Ability to have markdown cells, with ability to include images, html tables, etc. is amazing. Also, the ability to persist variables using %store and use it across different notebooks. The interface also gives you a nice presentation in itself which you can straightaway present to stakeholders. **What do you dislike about The Jupyter Notebook?** Working with the directory structure in their UI is quite cumbersome. For example, creating a new folder with a given name is a lot more steps. Also, displaying large outputs often leads to bad interface. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data Science and Machine Learning Projects ### 24. Jupyter is an ideal data science IDE. **Rating:** 5.0/5.0 stars **Reviewed by:** Evan O. | Statistics PhD Student, Higher Education, Enterprise (> 1000 emp.) **Reviewed Date:** February 21, 2018 **What do you like best about The Jupyter Notebook?** Having an easy record of attempts at processing data, while also being able to clean it up for external consumption. **What do you dislike about The Jupyter Notebook?** More of a Python problem, but it's annoying to have to restart the kernel to load changes in libraries, making things like the input/output number somewhat meaningless. **Recommendations to others considering The Jupyter Notebook:** Great for projects where the data/experiment can be run on your own machine. I don't have experience with using the server format, but have seen people in my lab avoid Jupyter when it comes to running massively parallel operations on a cluster, in favor of vanilla Python. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I'm solving data science problems, often plotting data, exploring it, running experiments. In addition to the notebook format combining code and markdown, a couple great benefits are the tab-complete and built-in documentation for many functions, and being able to blend between an exploratory Python shell and a formal IDE. ### 25. Hand and hand with Spyder **Rating:** 5.0/5.0 stars **Reviewed by:** Ashanti B. | Intern, Public Safety, Mid-Market (51-1000 emp.) **Reviewed Date:** July 13, 2018 **What do you like best about The Jupyter Notebook?** The prototyping is very fast, the results you get are visual, and your insights are shareable. **What do you dislike about The Jupyter Notebook?** Can be useful to show something step by step and share it on internet as interactive page but not to create full program. Collaboration is quite tricky, and it's prone to producing complexity. **What problems is The Jupyter Notebook solving and how is that benefiting you?** good for creating and sharing documents that contain live code, equations and visualizations without lines of code being misplaced. ### 26. Interactive, open source, and user friendly **Rating:** 5.0/5.0 stars **Reviewed by:** Sohrab R. | Senior Data Scientist, Management Consulting, Enterprise (> 1000 emp.) **Reviewed Date:** March 25, 2018 **What do you like best about The Jupyter Notebook?** It’s free. It’s interactive and enables you to evaluate your code in separate blocks of code. It enables you to effectively combine text, visualization and code to communicate your results with your colleagues. **What do you dislike about The Jupyter Notebook?** The in-browser is feature free, that is, it treats your code as simple text and does not give you any editing power which is found in some editors such as sublime and R studio. **Recommendations to others considering The Jupyter Notebook:** Enable text-editing features **What problems is The Jupyter Notebook solving and how is that benefiting you?** I have resolved a llot of data science projects and Jupyter is always my first choice due to the fact that it enables me to effectively communicate my code with my clients/colleagues in a report format. Also, being able to run cells separately makes the debugging process much easier. ### 27. Very good local service which user your computing power to train models **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 08, 2019 **What do you like best about The Jupyter Notebook?** The speed compared to many other cloud ML platforms **What do you dislike about The Jupyter Notebook?** I don't have the comfort of dragging and dropping features but instead I need to import libraries and use them **What problems is The Jupyter Notebook solving and how is that benefiting you?** Building predictive and descriptive models ### 28. Jupyter makes prototyping and data analysis simple! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Legal Services | Mid-Market (51-1000 emp.) **Reviewed Date:** March 27, 2018 **What do you like best about The Jupyter Notebook?** I like how I can quickly prototype functions to test it out on a sample of my dataset and instantly visualize the output. It is also a super convenient tool for quick visualizations and data inspection. I also like that the Jupyter notebook have an option to view the notebook as slides which makes it easy to present. **What do you dislike about The Jupyter Notebook?** I love it! Nothing to dislike - it's a great tool I use almost everyday. **Recommendations to others considering The Jupyter Notebook:** It's a great data science tool that I use for my day to day work. Makes prototyping, visualization and analysis easier. I would highly recommend this tool to anyone working in the Data science or Analytics field. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I typically use Jupyter notebook for all my data analysis - whether it be doing some initial data analysis to more in depth digging and visualization. The best aspect of this tool is to instantly have the output displayed right below your code, thus making it a great tool to show off your for a non technical audience as well. ### 29. One of the best environment for Python/R **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** July 29, 2018 **What do you like best about The Jupyter Notebook?** Jupyter notebook is really easy to install through Anaconda, and gives you a great way to visualize and organize your code in a notebook style. **What do you dislike about The Jupyter Notebook?** Some of the advanced functions are not easy to access, and require little bit of research. Some of the solutions are rather a "hack", and requires you to be creative. **Recommendations to others considering The Jupyter Notebook:** Start with Jupyter when migrating teams over to Python/R. This is the future of analytics and data science. **What problems is The Jupyter Notebook solving and how is that benefiting you?** We are building data-pipelines and data science capabilities. Compared to previous system, the notebook style allows users to share code easily. The markdown makes it really easy to document code further than adding few comments. You can add blocks of documentation explaining what the code is intending to do. ### 30. A useful tool for nearly every analytics task **Rating:** 5.0/5.0 stars **Reviewed by:** Patrick R. | Data Analytics Manager, Accounting, Mid-Market (51-1000 emp.) **Reviewed Date:** January 30, 2018 **What do you like best about The Jupyter Notebook?** Jupyter offers multiple kernel environments, and with its numerous magic commands, I can perform nearly every aspect of your data science project in a single environment. I can load data the database management system of my choice, perform transformations, explore and analyze the data, and create a final pdf or html report, all without leaving the Jupyter platform. **What do you dislike about The Jupyter Notebook?** The only drawback that I have encountered is how tedious it can be to handle page breaks when creating a pdf report from my analysis. However, my understanding is that the development team is aware of the formatting challenges and continues to improve on Jupyter's capabilities in that area. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I handle all of my analytics and data visualization projects in Jupyter. It allows me to structure my workflow, maintain notes, and write code all in one place. ### 31. Awesome tool for ml prototype **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** January 31, 2019 **What do you like best about The Jupyter Notebook?** Interactive python Visual effects Plots and charts Debugging easier Web interface **What do you dislike about The Jupyter Notebook?** Slow because it runs on browser as it has limited resources **What problems is The Jupyter Notebook solving and how is that benefiting you?** Project in machine learning ### 32. Jupyter notebook **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2018 **What do you like best about The Jupyter Notebook?** The notebook dashboard tells which notebooks are running and also tells about their location in the machine. It has a notebook type structure, where you can run the code cell by cell. That adds up to ease of use and helps in building small snippets of code. Also by running the code cell by cell , we can see intermediate results.its easy to install libraries thru anaconda. **What do you dislike about The Jupyter Notebook?** I don't dislike anything. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data Analysis and building machine learning models ### 33. You can do anything with Jupyter Notebook. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** October 25, 2018 **What do you like best about The Jupyter Notebook?** The best product to work on currently for any data scientist, analyst. Easy to use. You can program, use multiple libraries do make your work easy and effective. **What do you dislike about The Jupyter Notebook?** There's hardly anything to dislike. Maybe a person not in data can dislike it. Maybe it could be better for statistics and graphs like R. But it's still great product. **What problems is The Jupyter Notebook solving and how is that benefiting you?** It let's you analyze your data best. You can do anything with the data. ### 34. Great for newbees, easy to lean and visualize. **Rating:** 4.0/5.0 stars **Reviewed by:** Neha S. | Software Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 02, 2018 **What do you like best about The Jupyter Notebook?** It is possible to use this on quite literally any machine. almost like a web app. The interactive editor is able to display complex equations, charts, graphs, etc. making this particular editor very well-regarded among data scientists. **What do you dislike about The Jupyter Notebook?** Run Jupyter on a VM in the cloud and do your editing through a web browser on a different computer (e.g. a Chromebook), Some security work is required to ensure that it is set up in a secure manner. **Recommendations to others considering The Jupyter Notebook:** Strongly recommend it but intellij is catching fast better check those. its all about personal preference. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Mostly Data analysis, and visualization. also little bit in tutorials when I took classes of programming assignments. ### 35. A must for data science collaboration **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** July 26, 2018 **What do you like best about The Jupyter Notebook?** Ease of sharing and collaborating Visualizations within notebooks Rapid prototyping Auto save feature **What do you dislike about The Jupyter Notebook?** Timeouts and other stability issues. Inability to save and share state. Autosave could be more frequent. **Recommendations to others considering The Jupyter Notebook:** A must for data science collaboration. Notebooks are very useful for early stages of development, but much less so for production. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data science exploratory analysis across multiple teams. Model development with evaluations using python, tensorflow and spark. ### 36. I like it but I don't **Rating:** 4.0/5.0 stars **Reviewed by:** Sam B. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2018 **What do you like best about The Jupyter Notebook?** The best thing about this is it does not make me feel things too complex, I could accomplish things pretty fast and with a nice UI. Also the output is pretty well formatted in decent graphs **What do you dislike about The Jupyter Notebook?** When I used this software 6 months back I felt few things to be little too complex for new data science developers but I soon figured out most of the things. I did not like the inline graphs and results. **Recommendations to others considering The Jupyter Notebook:** It is okayish, you'll probably like it even though I didn't. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Mostly used it to learn more about IOT analytics. Things worked out fine but did not find it interesting enough to use it more often. ### 37. Jupyter is the best python editor **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Services | Mid-Market (51-1000 emp.) **Reviewed Date:** January 22, 2018 **What do you like best about The Jupyter Notebook?** The best python editor where you can try out python code before deploying it to scripts for automation. Extremely user friendly. A lot of features where it works in the concept of cells where we can add and delete cells and test out code **What do you dislike about The Jupyter Notebook?** There is nothing i dislike about this. this is the best tool. I often see updates coming. One thing I would suggest is that plotly integration for graphs to be more streamlined. I run into lot of issues when I try using plotly **Recommendations to others considering The Jupyter Notebook:** I would recommend this as the best tool for python coding. It has an extremely easy to use interface. The markup language is really good to actually deploy the neatly presented code with comments. A lot of features to quickly edit and modify cells. **What problems is The Jupyter Notebook solving and how is that benefiting you?** A lot of data analysis and visualization is done in jupyter. I have used jupyter to run automation scripts, data analysis, visualization and data science problem solving. ### 38. Perfect for keeping notes **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** November 05, 2018 **What do you like best about The Jupyter Notebook?** Run code in parts and see results. Develop notes on techniques for future reference **What do you dislike about The Jupyter Notebook?** Nothing in particular. Its perfect for what its made. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Making notes on particular algorithms and models, formatting makes it great for making notes that help in future. ### 39. No need to install anything. Great software to code **Rating:** 4.0/5.0 stars **Reviewed by:** Manali S. | Vice President - Quant Modelling Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** March 13, 2018 **What do you like best about The Jupyter Notebook?** There is no need to install any software to work. You can just work on the server. It has blocks to write your code and is a great place to write codes and compile **What do you dislike about The Jupyter Notebook?** Well I dont really dislike anything but sometimes it takes a lot of time to compile the program if the code has a large number of lines **What problems is The Jupyter Notebook solving and how is that benefiting you?** I write codes related to my work like fetching Data from web (web scraping). Its easy to start working on Jupyter ### 40. a great place to start coding rightaway **Rating:** 4.0/5.0 stars **Reviewed by:** Lilesh I. | Graduate Technical Intern - Market Risk, Enterprise Risk Management, Utilities, Enterprise (> 1000 emp.) **Reviewed Date:** April 29, 2018 **What do you like best about The Jupyter Notebook?** jupyter complies you program really fast. Also, there is no need to install heavy IDE in your pc. Just get your IDE working by writing a command in command prompt. **What do you dislike about The Jupyter Notebook?** Sometimes the IDE stops working while compiling, then you will have to interrupt the IDE and recompile the code. **Recommendations to others considering The Jupyter Notebook:** The best platform i have come across till now to get started with coding. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I write codes related to calculation of VaR, GVaR and other risk metrics . Jupyter helps in writing a draft code before finalizing it for business use. ### 41. I started using Jupyter **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Mechanical or Industrial Engineering | Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2018 **What do you like best about The Jupyter Notebook?** IT's a light way to access and run python code. **What do you dislike about The Jupyter Notebook?** I find it unstable sometimes. Otherwise, it's cool. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I develop my statistical data analysis programs using python on Jupyter. It helps me run predictions using data. ### 42. Versatile modular programming environment **Rating:** 5.0/5.0 stars **Reviewed by:** Wei Zhong G. | Research Assistant, Higher Education, Enterprise (> 1000 emp.) **Reviewed Date:** March 10, 2018 **What do you like best about The Jupyter Notebook?** Versatile, can intersperse code and output, can write and run code in chunks, easy to present code to others in an understandable way, ability to support both R and Python **What do you dislike about The Jupyter Notebook?** Takes a while to start up, cannot launch Jupyter notebook directly from Windows Explorer **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data analysis and presentation. Increased code readability, organization and communication. ### 43. Best notebook software to share work **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** July 24, 2018 **What do you like best about The Jupyter Notebook?** You can code in different languages with different kernels, you easily add nice formatted text and save as html, ran easily from Ubuntu and windows. **What do you dislike about The Jupyter Notebook?** It lacks a section to view all variables created, something like a section like the one Rstudio has **What problems is The Jupyter Notebook solving and how is that benefiting you?** Sharing amongst our data science team and being able to have template reports being automated ### 44. Jupyter Notebook review **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** April 12, 2018 **What do you like best about The Jupyter Notebook?** Everything in one window ! I love to tell stories about data and it allows me do that. It is free and you can run both Python and R kernels. Its perfect tool for a data scientist. **What do you dislike about The Jupyter Notebook?** Sometimes it runs slower than running R on R studio or R prompt. **Recommendations to others considering The Jupyter Notebook:** I highly recommend this Jupyter notebooks. It an awesome tool to share your analysis with notes and collaborate. I also use for quick presentations and it saves time ! **What problems is The Jupyter Notebook solving and how is that benefiting you?** I use Jupyter for R and Python both. It helps me to keep things organized and have notes of new research ideas and coding experiments all in one place. ### 45. Jupiter is best for ML dev **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Games | Enterprise (> 1000 emp.) **Reviewed Date:** September 03, 2018 **What do you like best about The Jupyter Notebook?** Highly recommended for ML developers. you can break code into cells and no need to run everything again. **What do you dislike about The Jupyter Notebook?** caching mechanism when data overflows is not good. it can definitely be made better. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Testing ML problems ### 46. Useful, but could use some improvements **Rating:** 4.5/5.0 stars **Reviewed by:** Yihui Q. | PhD, Applied Physics, Higher Education, Enterprise (> 1000 emp.) **Reviewed Date:** February 22, 2018 **What do you like best about The Jupyter Notebook?** Useful means of collaborating on code - working cells give the feel of a laboratory within which one can tinker with code **What do you dislike about The Jupyter Notebook?** 1) Need to scroll a lot between boxes with working code because of the printed output 2) Very difficult to share jupyter notebooks with collaborators who don't use github. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Scientific collaboration ### 47. Simplest way to demonstrate python code to others **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** February 01, 2018 **What do you like best about The Jupyter Notebook?** Jupyter allows me to easily walkthrough my python code with colleagues. It is nice being able to write code, document/explain it, and show output all in one place. This is especially helpful when I am writing prototype code for a new idea and need to share it with others for feedback/suggestions. **What do you dislike about The Jupyter Notebook?** I’ve experienced issues with jupyter crashing on my local machine. I will be executing a large chunk of code, but it will never finish running. When I click the stop button, sometimes the whole window will freeze and I will have to restart jupyter. This is frustrating, but doesn’t happen all the time. **What problems is The Jupyter Notebook solving and how is that benefiting you?** I write code for prototype projects / exploratory data analysis in jupyter. I can easily share this code with others. The code is mostly for predictive models in the credit industry. ### 48. Jupyter Python **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Mid-Market (51-1000 emp.) **Reviewed Date:** April 06, 2018 **What do you like best about The Jupyter Notebook?** Ease of development is the most liked feature on the Jupyter platform. We can easily create production ready code and then deploy it using various platforms. **What do you dislike about The Jupyter Notebook?** Processing is a bit of an issue when the code base increases. **What problems is The Jupyter Notebook solving and how is that benefiting you?** NUmerous business problems - 1. Eliminates the need for UI based editors. 2. increases ease of unit testing by breaking out the chunks in the code. ### 49. Jupyter Notebook **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Mining & Metals | Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2018 **What do you like best about The Jupyter Notebook?** Easy of use, easy prototyping for small Python projects. **What do you dislike about The Jupyter Notebook?** There is really nothing to dislike in Jupyter! **What problems is The Jupyter Notebook solving and how is that benefiting you?** Quick prototyping with Jupyter, Easy visualizations ### 50. Didn't find that intuitive **Rating:** 3.0/5.0 stars **Reviewed by:** Srujan B. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 05, 2018 **What do you like best about The Jupyter Notebook?** Quite easy and provides lot of libraries for data science developers for direct implementation **What do you dislike about The Jupyter Notebook?** I wish it didn't have this straightforward flow. This becomes quite boring after a while **What problems is The Jupyter Notebook solving and how is that benefiting you?** Data analysis ## 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=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-07+17%3A25%3A46+-0500&secure%5Bsession_id%5D=2120773e-aae2-46c1-a94f-d58d76703779&secure%5Btoken%5D=11ff49c0e29078a54cef5953e5615e1ca7cb99684d6f8819b76a502e56f7a519&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 (765 reviews) - [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) - 4.3/5.0 (354 reviews)