---
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: '2026-08-04'
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 Notebook for Python Projects.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ashutosh V. | Assoc. Data Science Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** March 21, 2023

**What do you like best about The Jupyter Notebook?**

The best feature is its reporting ability, it is just so easy to create Data Science, and Data Analytics reports.

**What do you dislike about The Jupyter Notebook?**

The Jupyter Notebook is great for its purpose but the major issue it's limited ability for other projects other than Reporting, for e.g., web, projects.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

While working with Python for Data Science, reporting becomes difficult if we start writing codes for each component of the report; Jupyter makes it really easy to create all components in one place and present it without inconvenience.

  ### 2. Best for computing across all programming languages

**Rating:** 5.0/5.0 stars

**Reviewed by:** Dhaval R. | SMTS @ MetricStream, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 08, 2022

**What do you like best about The Jupyter Notebook?**

I like the interface of Jupyter Notebook better than any other IDE. It runs smoothly on my browser and is super lightweight. I can code the program in blocks and Jupyter saves the results of each code block individually. Whenever my code stocks I can easily restart the kernel and repeat the process. It provides the flexibility to run any code block independently. The support for different programming languages is commendable.

**What do you dislike about The Jupyter Notebook?**

The only con I find about Jupyter Notebook is that there is no separate dedicated IDE available for it. Also, it doesn't tell the time or show any progress about how much a code block will take to complete its execution.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I am using Jupyter Notebook to execute code for my test framework. In my organization, we have a separate Nutest framework which is used to run dedicated tests to determine any errors in production code. Running a single test can take up to 5 hours, but with Jupyter I can execute any code block independently which saves me a lot of time. I can also make changes in code like adding debug statements, print statements etc on the go.

  ### 3. Using jupyter notebook as a machine learning engineer

**Rating:** 5.0/5.0 stars

**Reviewed by:** Bassel M. | ADAS Machine Learning Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** July 02, 2023

**What do you like best about The Jupyter Notebook?**

Interactive cells execution and viewing directory

**What do you dislike about The Jupyter Notebook?**

Bugs when selecting which conda environments

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

they are fixing the caching problems which makes the ease of use better

  ### 4. Done your data scientist job with jupyter

**Rating:** 4.5/5.0 stars

**Reviewed by:** PREM R. | Data Scientist, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 04, 2023

**What do you like best about The Jupyter Notebook?**

Library management ,code execution and automat of library updation

**What do you dislike about The Jupyter Notebook?**

Their support center . I don't like support system

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Data science project,  data manipulation

  ### 5. Jupyter notebook review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sunag R. | Senior Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 14, 2022

**What do you like best about The Jupyter Notebook?**

Jupyter notebook gives a beautiful interface for python programming. The best part I liked is that it involves both Text and Code simultaneously. This is useful because the code can be explained as storytelling. Most cloud platforms like AWS, Azure and GCP use jupyter notebook as their coding interface, which is very useful.

**What do you dislike about The Jupyter Notebook?**

Some software integration does not work with Jupyter notebook. Also, I wish Jupyter notebook provide GPU like google colab by connecting to some external server.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I have solved python web development problems, Data Science and Machine Learning problems. I have also integrated python with Databases like SQL. Jupyter notebook has benefitted me in a day-to-day programming structure.

  ### 6. Excellent Python Coding IDE

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sreyas V. | Senior Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 07, 2022

**What do you like best about The Jupyter Notebook?**

The best thing about Jupyter Notebook is that it is super easy to use even if you are a fresher just taking baby steps in Python programming. It has got a clean UI offering simple yet streamlined code development environment.

**What do you dislike about The Jupyter Notebook?**

The major issue I have with Jupyter Notebook is that it does not provide a good version control mechanism. If you are planning to collaborate with others on your project, then it becomes virtualy impossible to do version controlling.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I started using Jupyter Notebook when I started to learn Python as part of my organizational development and to me it served my purpose well. I have also used it to come up with Python scripts to be used for automation purposes.

  ### 7. Highly recommended Python Interpreter

**Rating:** 4.5/5.0 stars

**Reviewed by:** Samreen S. | Data Engineer II, Enterprise (> 1000 emp.)

**Reviewed Date:** September 14, 2022

**What do you like best about The Jupyter Notebook?**

Jupyter Notebook is a very easy-to-use, integrated and modular interpreter for Python language. It can be used by a student, or working professional or freelancer for their big or small projects.

**What do you dislike about The Jupyter Notebook?**

There are not many things to dislike in Jupyter, but one thing I would like to mention is that it sometimes becomes slow when dealing with large data files; otherwise, its good to go.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Whenever I need to test or run a basic or complex Python code, I prefer Notebook because it's also straightforward to transfer the ipynb files from system to system.

  ### 8. An amazing user friendly Python IDE

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sameer S D. | Intern, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 12, 2022

**What do you like best about The Jupyter Notebook?**

The Jupyter Notebook is an amazing web-based interactive computing platform. Some of the things that I liked about the Jupyter Notebook are as follows:
1) It is very easy to install.
2) It is an open-source tool.
3) It has an excellent visualization of the codes.
4) It can be converted into various output formats such as HTML, LaTeX, PDF, Python, etc
5) Easy to detect and correct the errors in the code.
6) It has a user-friendly interface.

**What do you dislike about The Jupyter Notebook?**

I have used the Jupyter Notebook mainly as an IDE for Python coding. Some of the things I disliked are as follows:
1) The configuration and setup consumes a lot of time.
2) It would have been better if more programming languages were supported.
3) Sometimes, while executing lengthy codes, the tool gets stuck.
4) It cannot be used in collaborative work.

**Recommendations to others considering The Jupyter Notebook:**

I would surely recommend The Jupyter Notebook for those who are looking for an excellent IDE for Python coding. It is very user friendly. It has an excellent support. Above all, it is open source.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I use The Jupyter Notebook mainly as an IDE for Python coding. It has been very helpful in my academics and related activities and projects. I have used it for data processing, digital signal processing applications, signal compression, and implementation of neural networks and machine learning applications. It was very helpful to understand and implement these concepts.

  ### 9. Good notebook for python coding

**Rating:** 4.0/5.0 stars

**Reviewed by:** Ajumon R. | Test Engineer, Telecommunications, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 01, 2022

**What do you like best about The Jupyter Notebook?**

i tried google collab and jupytor notebook for python coding. I found that jopytor is far better than google collab. jupytor not book is fast, running smoothly with our system and did not crash while running.

**What do you dislike about The Jupyter Notebook?**

nothing. because I like the software. compare to other python coding software, it's very good. but i have a suggestion, the notbook don not have a catchy GUI. if it has a good GUI, thats better.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

first, I use google collab for python coding. sometimes the run time is ended and the code execution fails. like, it takes more time to execute the code. so I tried jupytor. It look like google collab and the speed of execution is very fast. that means, jupytor notebook mainly solves the time.

  ### 10. Amazing platform for Interactive coding

**Rating:** 4.5/5.0 stars

**Reviewed by:** Yash K. | Data Scientist, Enterprise (> 1000 emp.)

**Reviewed Date:** August 18, 2022

**What do you like best about The Jupyter Notebook?**

The best thing about Jupyter notebook is that it provides the function of being able to code in an interactive way. This is very helpful specially for beginners to learn how to code and see the results the their codes are producing!

**What do you dislike about The Jupyter Notebook?**

One of the negatives of juyter notebook is that there might be cases where the variables might get jumbled up as you can run the cells one by one. You might end up running a piece of code that might change the way the code running is expected.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Jupyter notebook solves the problem of being able to play with the data and visualize what code is being written and get a constant feedback on the development.

  ### 11. Jupyter Notebook is a great way to automate visual Python processes

**Rating:** 5.0/5.0 stars

**Reviewed by:** Ryan M. | Marketing Analytics Engineer, Marketing and Advertising, Enterprise (> 1000 emp.)

**Reviewed Date:** August 11, 2022

**What do you like best about The Jupyter Notebook?**

I like that Jupyter is easy to implement and it organizes code and output in a really digestible way.

**What do you dislike about The Jupyter Notebook?**

I wish there was a better visual for the data that was in the environment. I have used RStudio for many years and I appreciate that I can see the dataframes and vectors that are in the environment

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I am able to integrate Jupyter with my databases so that I can create dynamic reports and even export them to documents for later accessible sharing

  ### 12. Great for teamwork and code sharing

**Rating:** 4.0/5.0 stars

**Reviewed by:** Maximiliano P. | Technical Lead, Small-Business (50 or fewer emp.)

**Reviewed Date:** October 16, 2021

**What do you like best about The Jupyter Notebook?**

I love how you can share a Notebook or even work it in a centralized IDE workspace. The UI and customization possibilities as well. I find it is an excellent tool for exploratory and testing developments. The ability to render visualizations and prove hipothesis on the fly is amazing.

**What do you dislike about The Jupyter Notebook?**

Sometimes I find it is not the best option for development. It's great to test and explore, but  I usually do the final coding using a more software development optimized  IDE than Notebook.

**Recommendations to others considering The Jupyter Notebook:**

Use it for initial and exploratory analysis, great for code sharing.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Mostly data analysis related and initial development for extraction, reshaping, transformation, and loading of data from and to different data sources  (Telegram messages, JSON, databases, csv, API calls, etc.). Natural Language Processing, OpenCV and Keras image recognition, machine learning, clustering, regressions, etc.

  ### 13. Magic Notebook

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 21, 2022

**What do you like best about The Jupyter Notebook?**

It is very to install. It comes with rich export features. You can mark down the code and write notes in a cell after changing the cell type from code to markdown. Apart from that, it has a user-friendly UI. It is an open-source tool. So, it is free to use.

**What do you dislike about The Jupyter Notebook?**

Sometimes while running a lengthy code, then the notebook gets stuck. Assuming you work with multiple virtual environments. Then you would need to download the library in the right environment. And if you want to use the same library in another virtual environment, then you will have to redownload the library.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I use this tool mainly for data Analytics. It runs the code cell by cell, which is useful in some cases. The tool has a good UI. Therefore, I use this tool to get my trainees familiar with python.

  ### 14. I like to review on Jupyter Notebook.

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.)

**Reviewed Date:** September 25, 2022

**What do you like best about The Jupyter Notebook?**

What I like about the Jupyter notebook is its web-based platform and User Interface which is good to do programming in the python language and it is an open-source platform that is easy to use and open for all users.

**What do you dislike about The Jupyter Notebook?**

What I dislike about the Jupyter notebook is there is no IDE integration in this platform which is not and also no merging of the two notebook facilities for users to work in a team and it is quite difficult to use Jupyter in teamwork.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Users can use this to do the same coding work which is beneficial and useful in Jupyter it is basically helping you to use the platform to test and deploy the code in a python programming language.

  ### 15. A good alternative for a coding notebook

**Rating:** 3.5/5.0 stars

**Reviewed by:** Yousra A. | AI and Machine Learning Intern, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 21, 2022

**What do you like best about The Jupyter Notebook?**

Easy of use, simple interface and many useful commands. It provides a very smooth experience for coding and has support for multiple visualization libraries and dashboard functions.

**What do you dislike about The Jupyter Notebook?**

The notebook freezes frequently while running certain cells and most of the time it requires a full restart for the notebook and rerunning of all cells. The file management system is confusing a bit and takes time to get used to.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Jupyter is a coding notebook for developers and professionals. It's widely used in the different programming fields especially machine learning, business intelligence and data science.

  ### 16. jupyter review

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Non-Profit Organization Management | Small-Business (50 or fewer emp.)

**Reviewed Date:** August 23, 2022

**What do you like best about The Jupyter Notebook?**

As a data scientist, it was straightforward for me to work on the company data as we can attach the .csv files easily. So with that, I can be able to do data visualization and produce charts and graphs for my company.

**What do you dislike about The Jupyter Notebook?**

For me, there are no cons on my side as it is straightforward and flexible to use and even beginners will find it easy working on this platform.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

As it is not complicated to use I find it easy and flexible to use and I can perform various projects in Jupyter notebook, a free source open platform.

  ### 17. The Jupyter Notebook - Your very own Notebook

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Program Development | Small-Business (50 or fewer emp.)

**Reviewed Date:** February 03, 2022

**What do you like best about The Jupyter Notebook?**

I am a Python Developer. First of all, I would like to tell you that The Jupyter Notebook Editor Software is a Web-based, Interactive computing environment that is Free to Use and provides an easy-to-understand interface for developers, mainly for Python and its related libraries like Matplotlib, Pandas, NumPy, etc. To understand your codes just like you jot them down in your text notebook, Jupyter Notebook can help you with all of that and that too in just one directory.

**What do you dislike about The Jupyter Notebook?**

For a beginner, it might be overwhelming to open files from your computer into the Jupyter notebook because it uses Python Kernels to locate the files in your system. But it can be easily solved using some commands in the Anaconda cmd prompt. Moreover writing long codes can lead to duplicacy of same lines of code that are to be used to run the program so you have to be confident and keep a check on the code before its execution.

**Recommendations to others considering The Jupyter Notebook:**

It is free and easy to use. Just go for it and enjoy coding.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I have been solving some data visualization problems widely used in geoprocessing with tools like NumPy, MatplotLib, GDAL python modules for large datasets. The Jupyter Notebook handles all of them quickly and provides the output after the code snippet is executed. Moreover, Running the codes independently for a particular task is what I feel is handy.

  ### 18. Best IDE for Python Developers

**Rating:** 4.0/5.0 stars

**Reviewed by:** Sainath B. | Senior Technical Specialist (Automation), Enterprise (> 1000 emp.)

**Reviewed Date:** April 13, 2022

**What do you like best about The Jupyter Notebook?**

If you are new to Python programming then The Jupyter Notebook is the best option as the the look and feel of the IDE is very good. More over, it is free to use.

**What do you dislike about The Jupyter Notebook?**

For beginners it is okay but if you want to execute big projects then I personally don't recommend it as it just acts like a Notebook unlike Spyder IDE.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I use this IDE to teach basics to my trainees on Python programming as their level of programming is novice. As it looks like a notebook it's very much easy to explain each and every line rather than putting all the code in one block.

  ### 19. Best Python IDE for notebook style coding.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jatin S. | Graduate Engineering Trainee, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 31, 2022

**What do you like best about The Jupyter Notebook?**

Jupyter notebook is very light and does not take a lot of space. It works in your web browser itself. Also is very light on your system hardware. Compared to Google Colab it can be used in offline mode also.

**What do you dislike about The Jupyter Notebook?**

Importing libraries is very data consuming as we have to install them on our local machine. We also have to install the libraries in the correct working ev=nvironment. To import it into a new environment we have to again download it.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Making many python projects. It was very useful as we can see the results cell by cell. Also, opening and closing files using the Jupyter Notebooks is very easy and fast.

  ### 20. Most friendly software for running python codes

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sharan D. | Quality Assurance Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** April 01, 2022

**What do you like best about The Jupyter Notebook?**

Jupiter notebook is a very user-friendly software that we can use for python coding. It's simple to use and we can test a code line by line. we can interact with this software in a data science environment.

**What do you dislike about The Jupyter Notebook?**

Sometimes have imported some libraries to do our analysis and it's quite difficult. This software will be better if it already has some standard libraries. and sometimes I had to restart all the code after importing a new library.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I used this software at beginning of my data analysis career.it is very helpful for me as a bigger.it was very easy to use therefore I got interested to move with data analysis.

  ### 21. All in one tool for all your python needs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nitish K. | Data Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** September 18, 2022

**What do you like best about The Jupyter Notebook?**

Open source and Easy debugging of codes
Availability of documents for most of the inbuilt functions
Supports all the libraries and environment

**What do you dislike about The Jupyter Notebook?**

Only available for python, not for other languages
Need to install conda/ jupyter separately and needs internet connection sometimes to run on

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Developing python solutions for various problems of Machine Learning.
As pysql, pushing data from python to database.

  ### 22. Jupyter notebook software use for developing or coding purpose

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nayana P. | Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** July 12, 2022

**What do you like best about The Jupyter Notebook?**

This is best software comparitive to other software, basic purpose to use for  to support interactive data science and scientific computating across all programming languages.

**What do you dislike about The Jupyter Notebook?**

I used for data science and machine learning programming it's so easy software to understand and handle or run it., so nothing say like it has some cons as per my perspective upto till I am using

**Recommendations to others considering The Jupyter Notebook:**

Highly recommend for python user, or more recommended to entry level person

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Solving data science, python, scientific computing related programming it's run smoothly

  ### 23. Review for Jupyter Notebook

**Rating:** 4.5/5.0 stars

**Reviewed by:** Aniket M. | Research Intern, Data Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** February 22, 2022

**What do you like best about The Jupyter Notebook?**

One of the best software for Data Science and Data Analytics tasks. It is convenient to use and user-friendly. Have interactive fonts, which make codes easy to visualize. Outputs are clear and understanding. The best part is notebook can be downloaded in any format like pdf. We can share notebooks with teammates. Interactive plots are also supported. We can write documentations/explanations also for each code.

**What do you dislike about The Jupyter Notebook?**

Its good, not much disadvantage. Recommended. Maybe it could add new features to add mathematical formulas, equations easily in writing documentation/tutorials/explanations.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I use Jupyter Notebook for Data Analytics and Machine Learning tasks. We analyze data, draw insights and inferences. Also, build deep learning and ML models to solve our business layers.

  ### 24. Very good when your are new in coding

**Rating:** 3.5/5.0 stars

**Reviewed by:** Dhrumil S. | Data Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** July 29, 2022

**What do you like best about The Jupyter Notebook?**

Each and every steps getting results if you want
User friendly for novice user

**What do you dislike about The Jupyter Notebook?**

Not suitable much in real time.env
Not supporting other languages like java

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

If you want to to go with line by line debug that you can execute only this particular steps and it giving you a result.
We don't need to run our program from starting

  ### 25. Amazing   IDE Platform for Coding using various programming Language.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sweta S. | Data Scientist, Enterprise (> 1000 emp.)

**Reviewed Date:** January 03, 2022

**What do you like best about The Jupyter Notebook?**

Code execution using the cell-based approach, visibility to code, and results simultaneously along with documentation—very user-friendly UI.Easy to debug the code.
Support for multiple languages.
Excellent data visulization option.
It's an excellent IDE for showcasing Data Science work.
Very easy to share code with anyone.

**What do you dislike about The Jupyter Notebook?**

Maintaining versions of code is tedious.

The security of code is a big issue.

The notebook doesn't allow proper packaging.

Somebody can look into the memory error in the Jupyter notebook.

**Recommendations to others considering The Jupyter Notebook:**

Great open-source IDE to start with for any Data Science work

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

We are currently working on various Data Science problem statements -classification, time series, regression, segmentation.

Data Exploration and visualization and getting insights from the data using various graphs and sharing with the team is awesome.

  ### 26. Best open source website for data scientists.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** January 14, 2022

**What do you like best about The Jupyter Notebook?**

The Jupyter Notebook is the best webapp for python coding which includes data visualization, data cleansing, data transformation, it has all the awesome features that is supported by python . we can create code and run it which shows us different visualization.It also works as the best coding editor as it has all features.Another important feature is that it is open  source which means any one if free to contribute in it.

**What do you dislike about The Jupyter Notebook?**

The Jupyter Notebook is a trendy tool used by data scientists and anyone who is coding in python. It has all the emerging features. The features of colorful themes should be added in The Jupyter Notebook which makes the coding interesting.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I am using  The Jupyter Notebook for coding in python, and ploting data of data warehouse and data mining.Jupyter Notebook makes it vesy easy to plot datasets as it present output in very interactive and attractive manner.We can import various python libraries in it.I am also using  The Jupyter Notebook for writing Python scripts for automation.

  ### 27. jupyter notebook made coding with python really easy !

**Rating:** 4.5/5.0 stars

**Reviewed by:** Yash R. | Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** January 30, 2022

**What do you like best about The Jupyter Notebook?**

When it comes to performance, the jupyter notebook is fantastic, and it's especially beneficial for managing several Python files. Jupyter is fantastic for data research and data analysis, jupyter is a better IDE compared to pycharm or anaconda

**What do you dislike about The Jupyter Notebook?**

sometimes while doing high computation users might face runtime errors or get stuck, so reloading is needed. another improvement can be providing dark/night mode.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

we are looking for IDE for python and jupyter notebook is perfect for this, performance is awesome, easy to manage UI, lightweight web-based IDE, can be run multiple times on parallelly.

  ### 28. Best tool for practising python language

**Rating:** 5.0/5.0 stars

**Reviewed by:** Deepa D. | Associate data Analyst, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 27, 2022

**What do you like best about The Jupyter Notebook?**

Ease of use, suggestion while writing codes , notebooks and already installed library and its GUI

**What do you dislike about The Jupyter Notebook?**

Little slow than other environments. Takes time when big amount of data

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Easy to understand and write code on its notebook and gives suggestions while writing the codes

  ### 29. There was quite good experience but there are also another options for Jupyter.

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

**Reviewed Date:** August 02, 2022

**What do you like best about The Jupyter Notebook?**

There is a cell system in jupyter notebook in which I can run each segment of code or like a little function  in separate parts so it's the best part of jupyter Notebook.

**What do you dislike about The Jupyter Notebook?**

There is no IDE integration in Jupyter Notebook and also there is hard to run test in Jupyter Notebook.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

As i said in best part it solves the segment code problem which I think "Pycharm " doesn't provide.

  ### 30. Use of Jupyter Notebook in Coding

**Rating:** 4.5/5.0 stars

**Reviewed by:** sahi r. | Data Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 17, 2021

**What do you like best about The Jupyter Notebook?**

Its simplicity is the best thing I like most. Jupyter Notebook interface is simple and easy to understand, even for beginners.

**What do you dislike about The Jupyter Notebook?**

Its interface is simple, but the code is not colored. It is difficult to find the missing bracket with the same color, and the color code looked a little bit better to see.

**Recommendations to others considering The Jupyter Notebook:**

If you are a beginner, it is the best platform to code. And If you are an expert, you should give a chance to Jupyter Notebook because it is simple for large codes.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I am using Jupyter Notebook for my office work, which requires running codes offline and online.

  ### 31. Want to practice on python ?

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rafay K. | Associate Technical Consultant, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 05, 2021

**What do you like best about The Jupyter Notebook?**

It is the most accessible and most reliable platform for python developers. The thing I like the most about the Jupyter notebook is that it can export or download the library automatically, which we are using in our program, which saves our time to search those libraries from different websites.

**What do you dislike about The Jupyter Notebook?**

The negative point many users may face is that it requires a stable connection means once it is refreshing the browser, we can't continue our work. Sometimes it happens to me, but although the platform is although easy to practice python language.

**Recommendations to others considering The Jupyter Notebook:**

I would recommend to those students who are learning python in their university/college or online websites. It is the most accessible platform by which you can develop your skills in python.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

1. Implementing of new libraries
2. Plotting graphs
3. Implementation of OpenCv programs

  ### 32. How useful jupyter notebook in a coder life?

**Rating:** 4.0/5.0 stars

**Reviewed by:** Sahi R. | Data Scientist, Small-Business (50 or fewer emp.)

**Reviewed Date:** December 22, 2021

**What do you like best about The Jupyter Notebook?**

The simplicity of the Jupyter notebook is what I like most about it. I have been using it from the beginning. Not only It is easy to write code in Jupyter notebook, but it executes and performs other tasks.

**What do you dislike about The Jupyter Notebook?**

It is only simple to use for python; you have to do a lot of tasks to execute other language codes. And It should provide a colorful interface.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

It solved all my problems related to my company work and personal practice. For example, It allows creating automation code to scrape websites. And it is beneficial in dubbing code.

  ### 33. The best tool for ML and AI using Python or R.

**Rating:** 5.0/5.0 stars

**Reviewed by:** susanta r. | System Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** September 02, 2021

**What do you like best about The Jupyter Notebook?**

It is one of the best IDE for python programming. We can execute code line by line, which gives flexibility to new users to learn and do hands-on.
A combination of markdown description and python programming make it a champ in python learning. You can easily create projects anywhere in your local repo. You can easily import most of the python modules by using the Import keyword if an anaconda package is installed there. It is very easy to install as it comes with an anaconda package. Its user interface makes it unique from others.

**What do you dislike about The Jupyter Notebook?**

It should have an option for the dark theme. Waiting for the UI customization option.

**Recommendations to others considering The Jupyter Notebook:**

I will recommend others to use Jupyter notebooks, considering it features in python programming.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I am using Jupyter notebook for python programming and Data analysis. I am doing exploratory data analysis using various python modules., which includes data reading, data mining, data cleaning, etc.  It support file type CSV, JSON, and excel. Data visualization using matplotlib libraries. I am using its markdown features to create a note and description of a particular coding scenario. And many more features are there.

  ### 34. Fantastic tool for data analysis

**Rating:** 5.0/5.0 stars

**Reviewed by:** Andrew K. | Integration and Deployment Management, Mid-Market (51-1000 emp.)

**Reviewed Date:** January 07, 2022

**What do you like best about The Jupyter Notebook?**

I like how easy this tool is to use.  I can rapidly prototype new ideas and start digging into data sets and doing exporatory analysis.

**What do you dislike about The Jupyter Notebook?**

It can sometimes be a bit of a memory intensive application.  The ease of getting started can also lead to people being lazy and not following good practices

**Recommendations to others considering The Jupyter Notebook:**

I would suggest implementing best practices in your firm.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Jupyter notebooks are excellent for visualizing and working with data.  I can prototype my data pipeline and processing quickly.

  ### 35. Best IDE for ML and Data Analytics Projects

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** November 01, 2021

**What do you like best about The Jupyter Notebook?**

Jupyter notebook is the truly outstanding and most adored device or IDE for the Python programming language. It can likewise be utilized for the R programming language. The most accommodating and best capacity in Jupyter note pad is that it auto pickup libraries which we embedded in our code and this makes it a lot simpler for youthful designers to foster a program. We can execute code line by line, which gives adaptability to new clients to learn and do hands-on. We can also create different checkpoints for the code. It is extremely commonsense particularly for the people who are beginning to get familiar with Python. It's especially useful for showing diagrams and visuals intelligently. This is one of the most mind-blowing apparatus to comprehend essential Machine learning and information science coding alongside comprehension and executing more intricate calculations in profound learning.

**What do you dislike about The Jupyter Notebook?**

The thing that I dislike about the Jupyter notebook is that if the server kills then we have to run all the cells one by one.

**Recommendations to others considering The Jupyter Notebook:**

I would highly recommend it to ML and data analytics professionals, it is very handy and easy to use. A beginner can smoothly work with this IDE without any prerequisites.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Most of the time I used this IDE for the python projects and I also used this IDE for my machine learning and data analytics projects, it provides better visualization of data through graphs.

  ### 36. Review on Jupyter Notebook

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Oil & Energy | Enterprise (> 1000 emp.)

**Reviewed Date:** January 31, 2022

**What do you like best about The Jupyter Notebook?**

The interface compared to other standard analytics tool. The feature that you can execute the code kernel wise is new and useful for many analytics professional. Flexibility to use python and analysing excel sheets make it a go-to analytics tool.

**What do you dislike about The Jupyter Notebook?**

Nothing in particular but regular update is required for removal of bugs and also to include the line number on the left so that there is proper demarcation of problem while stating mistakes in code to someone else.

**Recommendations to others considering The Jupyter Notebook:**

Easy to use tool for students and professionals who need tk carry out set of analytics algorithm over a raw data using the widely known Python programming.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Used supervised learning while working in technical services to establish the relationship between feed and product purity in Butadiene unit. Currently using the Jupyter notebook to establish relation between feed composition and product composition using ANN.

  ### 37. Jupyter Notebook, friendly for running and visualize python codes and results

**Rating:** 5.0/5.0 stars

**Reviewed by:** Israel C. | Lecturer, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 02, 2022

**What do you like best about The Jupyter Notebook?**

Has everything you need for the run and visualize results of python codes. Markdown option is fabulous for teaching at university and keeping all content organized.

**What do you dislike about The Jupyter Notebook?**

Executing cells can sometimes be confusing. I would say you have to be careful. Perhaps this functionality should be extended to have various options and commands.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Deep Learning!, additionally, visualization with interactive data analysis for data science.

  ### 38. Attractive platform of Python IDE

**Rating:** 4.0/5.0 stars

**Reviewed by:** Muhammad Sheheryar I. | Systems Consultant, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 06, 2021

**What do you like best about The Jupyter Notebook?**

The most helpful and best function in Jupyter notebook is that it auto pickup libraries which we inserted in our code and this makes it much easier for young developers to develop a program. Jupyter Notebook has a user-friendly environment which I like the most. For a python developer, it's a good platform for them.

**What do you dislike about The Jupyter Notebook?**

The thing which I don't like about the Jupyter notebook is that it requires a stable connection and when connected it sometimes refreshes our program otherwise all is perfect. Python beginners should try this platform.

**Recommendations to others considering The Jupyter Notebook:**

It is beneficial for python learners or beginners who are practicing on python language.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

1. Solving Python IDE
2. Developing Python programs
3. Implementing to generate plots

  ### 39. Best web application to share to create and share python code.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Omkar Vilas M. | Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** December 28, 2021

**What do you like best about The Jupyter Notebook?**

Very user-friendly, Flexible, and intuitive. Easy display of functions.

**What do you dislike about The Jupyter Notebook?**

There are no bookmarks and dark mode options which makes sometimes difficult to navigate through the window.

**Recommendations to others considering The Jupyter Notebook:**

Please add dark mode. Could be really helpful.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I am using Jupyter notebook for creating and sharing python code. It's very good to display my data science projects. I create workflows for my data science projects using Jupyter notebook.

  ### 40. The most useful development environment

**Rating:** 3.5/5.0 stars

**Reviewed by:** deniz y. | Business Intelligence Manager, Enterprise (> 1000 emp.)

**Reviewed Date:** September 15, 2021

**What do you like best about The Jupyter Notebook?**

A nice application that allows you to use markdown and python code at the same time. Creating documentation dynamically is very easy. It is very practical especially for those who are starting to learn Python. I thought it was only used for python but it has support for a lot of languages. Very useful notebook application especially for reporting and presentation. Suitable for data science, machine learning, and deep learning studies. The interface is simple and beautiful. It's like writing code in Word.

**What do you dislike about The Jupyter Notebook?**

Due to not remembering the operations performed, it's very frustrating to have to run the kernel again every time I reconnect. It's hard to stop the kernel. When there is a problem with the browser, the code disappears without saving. Images do not open or load slowly during image processing.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

It helps me a lot in training. Markdown is very useful.

  ### 41. The Jupyter Notebook Review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Mun Q. | Biostatistician, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 10, 2021

**What do you like best about The Jupyter Notebook?**

Jupyter is accessible across all desktops and is accessible anywhere you go. The notebook is easy to use since the "code" mode is already embedded in the notebook.

**What do you dislike about The Jupyter Notebook?**

I do not have any issues with Jupyter so far.

**Recommendations to others considering The Jupyter Notebook:**

I highly recommend using this notebook. It is an important skill to learn to use it and apply codes to this notebook.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I am using Jupyter to fulfill my job as a data scientist. I am using this notebook to clean and organize data.

  ### 42. Jupyter for everyone

**Rating:** 4.5/5.0 stars

**Reviewed by:** falah anwar K. | Engineer Internship, Enterprise (> 1000 emp.)

**Reviewed Date:** October 15, 2021

**What do you like best about The Jupyter Notebook?**

Jupyter is easy to use, and you do not need to download it on your local machine.  You can use it on the browser which is you are using, which is helpful.

**What do you dislike about The Jupyter Notebook?**

The only thing which I do not like is you can only use it when the internet is on.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I started learning Data science from online and implemented all my work on Jupyter notebook. I got results quickly on jupyter notebook. You can perform maths calculations efficiently on Jupyter notebook. If you are a beginner, Jupyter is the best choice for you.

  ### 43. Web UI - based debugger for python code

**Rating:** 5.0/5.0 stars

**Reviewed by:** Zuber Ali K. | Sr. SDET - IT QA Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** January 14, 2022

**What do you like best about The Jupyter Notebook?**

Easy to use, light weight and user-friendly. Helps in creating dynamic documentation of the code making it very easy to explain.

**What do you dislike about The Jupyter Notebook?**

At the moment, there is limited integration of Jupiter notebooks with other tools, unless the integration is written from withing the python  code.

**Recommendations to others considering The Jupyter Notebook:**

For those who are planning to begin python coding or are already writing complex python code, this is a great tool to debug your code

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Makes easier to write data analytics code and visualizations. Output is easily created right at the code.

  ### 44. Jupyter Notebook for Python programming

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

**Reviewed Date:** January 04, 2022

**What do you like best about The Jupyter Notebook?**

Jupyter Notebook is great to showcase the work where you can see the code as well as the result. Run option cell by cell makes its convenient.Good for visualization. Can be used at any time without any issue

**What do you dislike about The Jupyter Notebook?**

No standard libraries imported already
Results and images are not alterable in size
Runtime is more
Display is not great
While executing codes sometimes screen gets freezed

**Recommendations to others considering The Jupyter Notebook:**

It is helpful in showcasing the work in step wise manner .
Good for EDA , hypothesis testing ,data exploration and running machine learning algorithms

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Solving machine learning algorithms.
Time series forecasting.
EDA.
Helps in showcasing forecasts and results of model clearly.
Exploratory data analysis makes it easy for client to understand

  ### 45. Ease of working on Python with Jupyter notebook

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** December 15, 2021

**What do you like best about The Jupyter Notebook?**

Ease of retrieving the desired results with just specifying the variable name. No print statement is req everytime as it is required in pycharm or other python terminals

**What do you dislike about The Jupyter Notebook?**

When the Notebook is open for long, the output results can get disturbed in between which changes final results. So youhave to restart the notebook again in that case.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I work with Time series and Machine learning analysis on Jupyter notebook. Another ease is working on code in different cells in one notebook itself trying new things.

  ### 46. Jupyter Notebook for all analysis/machine learning needs

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rita L. | Analytics Lead, Enterprise (> 1000 emp.)

**Reviewed Date:** June 17, 2021

**What do you like best about The Jupyter Notebook?**

Jupyter notebooks are very easy to use with minimal setup. It keeps all code, graphs, comments (it supports Markdown cells which make for amazing in-line commentary), models in a single document that I can share with colleagues/commit to Github. It's particularly good for displaying graphs and visuals interactively. For Data Science/Analytics, this tool allows for seeing code incrementally in-line, which helps when doing exploratory analyses. Also, it supports multi-language programming and can be converted to a variety of file formats.

**What do you dislike about The Jupyter Notebook?**

There is no linting and correction, and you can't integrate it with an existing IDE. Also, I wish it allows for easier collaboration. Bottom line, this is an excellent tool for data exploration but not the best option as a programming asset in production pipelines.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Data exploration
Data cleaning
Plotting/visualizing
Model building/tuning
Presenting results

  ### 47. IDE to be used from anywhere

**Rating:** 4.0/5.0 stars

**Reviewed by:** pawan s. | Data Scientist, Enterprise (> 1000 emp.)

**Reviewed Date:** November 20, 2019

**What do you like best about The Jupyter Notebook?**

Like jupyter notebook much since has can be accessed from any browser and different machine.Also running code in individual cells also looks great with online graphs display.
Can work from any system and access same code placed on cloud or git. Also can be installed on local machine easily.


**What do you dislike about The Jupyter Notebook?**

Sometime auto code completion for not work properly . Also in some other integrated environment like Google colab short cut not works

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Writing python codes for machine learning projects. Graps shown within editor found very useful.

  ### 48. Best tool for Python POCs and saving notes.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sumit S C. | Associate Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 18, 2021

**What do you like best about The Jupyter Notebook?**

The ability to add Notes as comments and as markdown makes Jupyter Notebook stand out. 
Another thing I like is we can run commands line by line, so basically, we don't need to run the whole code.

**What do you dislike about The Jupyter Notebook?**

There should be a way to compare changes on Git. When you save a Notebook on Git, I didn't find a way to compare the changes. It just updates it.

**Recommendations to others considering The Jupyter Notebook:**

I would highly recommend it for doing data processing work or POCs using Python or R programming.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

I mainly use Jupyter Notebook whenever I am working on Any Data related problem and or POC.

The benefits of using it are:
- I can add Markdown notes in it.
- I can separate the logic into chunks.
- I may necessarily not run all the blocks at once, but if I want to, I can do that too.

  ### 49. The best IDE for Pyhton developers

**Rating:** 4.5/5.0 stars

**Reviewed by:** Satbir S. | Data Management Expert, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 07, 2021

**What do you like best about The Jupyter Notebook?**

A straightforward and easy to use interface

**What do you dislike about The Jupyter Notebook?**

Lack of click-use/drag-drop commands for basic codes. Almost every control executed as a code (I mean updating packages and even basic snippets)

**Recommendations to others considering The Jupyter Notebook:**

It endows unlimited power equally to beginners and proffessional. Even beginners can start learning Python in The Jupyter Notebook without much to worry about Learning curves. And professionals can keep on exploring endless possibilities

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

Analyzing large data sets (mostly call logs from telecommunications processes)

  ### 50. Best IDE for python and julia related coding.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Kajal K. | Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 05, 2021

**What do you like best about The Jupyter Notebook?**

The Jupyter Notebook gives the best environment to code in python and Julia, in which we can run code or shell step by step according to our requirement, which I like the most about The Jupyter Notebook.

**What do you dislike about The Jupyter Notebook?**

The Jupyter Notebook should give a terminal attached to every .ibpy file we create, which will be more accessible for users to use terminal-based activity.

**Recommendations to others considering The Jupyter Notebook:**

If you are a python developer or want to learn python, then The Jupyter Notebook is the best IDE to start learning python.

**What problems is The Jupyter Notebook solving and how is that benefiting you?**

The Jupyter Notebook helps me to train machine learning and AI models for my company to deploy in the cloud, easy to use and install.


## 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 &quot;cloud services&quot;?](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=2&section=pricing&secure%5Bexpires_at%5D=2026-08-07+06%3A36%3A01+-0500&secure%5Bsession_id%5D=b6ef5b5e-3aa0-4d7e-a25e-176ff1d7b8fe&secure%5Btoken%5D=439290036f637d179250e8c7df1704f3742789eaa0f996588c3c7d0f1be25444&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 (355 reviews)

