--- 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: '2026-08-09' 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. Jupyter Notebook Review: The Gold Standard for Interactive Data Exploration **Rating:** 4.0/5.0 stars **Reviewed by:** Ajay M. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2025 **What do you like best about The Jupyter Notebook?** Pros: Unmatched Interactive Prototyping: Combines code execution, visualizations (Matplotlib/Plotly), and Markdown documentation in a single notebook. Ideal for iterative workflows like model tuning or data cleaning, where immediate feedback accelerates experimentation Language Flexibility: Supports 40+ languages (Python, R, Julia) via kernels, making it indispensable for cross-functional teams. Python integration is seamless, especially for libraries like Pandas and TensorFlow Zero-Cost & Open Source: Free accessibility lowers barriers for students and startups. Active community support ensures continuous updates (e.g., JupyterLab improvements) Educational Powerhouse: Step-by-step code execution and inline visualizations (e.g., heatmaps, graphs) simplify complex concepts—perfect for teaching statistics or sharing reproducible analyses Integration Ecosystem: Works natively with big-data tools (Apache Spark, Hadoop) and exports to PDF/HTML for reports. Integrates with VS Code for hybrid IDE workfllow **What do you dislike about The Jupyter Notebook?** Collaboration Challenges: Lacks real-time co-editing (unlike Google Colab). Merging changes from multiple users often causes version conflicts, requiring manual reconciliation Debugging Limitations: Weak error tracing in notebook cells complicates large-scale debugging. Users frequently switch to PyCharm/VSCode for complex projects Performance Bottlenecks: Struggles with memory-intensive operations (e.g., processing 10GB+ datasets). Kernel crashes force workarounds like batch processing Steep Learning Curve: Magic commands (%%time, !pip install), kernel management, and environment setup overwhelm beginners **What problems is The Jupyter Notebook solving and how is that benefiting you?** At GeoIQ, we use Jupyter for rapid influencer ROI analysis. We scrape social data, visualize engagement trends, and share notebooks with marketing teams—cutting report time by 65%. But we avoid it for pipeline deployment. ### 2. Jupyter Notebook: The Ultimate Tool for Interactive Data Science **Rating:** 4.0/5.0 stars **Reviewed by:** Priyanshu D. | Jr. Executive Business Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 12, 2025 **What do you like best about The Jupyter Notebook?** Being a Data Scientist and Proactively working in the field of Data Analysis, Jupyter have become a essential tool in my daily task, due to its easy-to-use structure, as we can write code in a very simple way ie in small chunks running them independently making the debugging and iteration easier.Coming to the Visualization part, It is very useful in creating interactive graphs and plots, thanks to diffrent libraries it support (ex- Matplot, plotly, seaborn). **What do you dislike about The Jupyter Notebook?** Handling large Dataset is bit slow and sometime involves server/browser crash. Not very well suited for large dataset. **What problems is The Jupyter Notebook solving and how is that benefiting you?** Its helps me in EDA and Visualizaing My data in most efficient way possible. ### 3. Clean Interface That Enhances Productivity **Rating:** 5.0/5.0 stars **Reviewed by:** Gaurav G. | Application Developer II, Small-Business (50 or fewer emp.) **Reviewed Date:** December 19, 2025 **What do you like best about The Jupyter Notebook?** it has a clean interface and good for python use and machine learning work **What do you dislike about The Jupyter Notebook?** it does not have autocomplete feature of certain code snippet and sometimes does not give warning on wrong syntax **What problems is The Jupyter Notebook solving and how is that benefiting you?** it is helping me with the IDE of python, i can perform various machine learning tasks in it without any hassle ### 4. Best tool for Python coding in parts/modules **Rating:** 5.0/5.0 stars **Reviewed by:** Shantanu R. | Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** December 26, 2024 **What do you like best about The Jupyter Notebook?** It has the most easy and understanable UI. A beginner would find easy to use all the tools, how to make paths for the files and to make projects. Also the code runs in cells making it easier to debug and to remove any error or issue in the program as soon as it gets detected. It provide the feature to decorate your texts in code like comments or a simple line by changing the size, boldness and font of the text. It supports various languages like Python, R, Ruby, etc which also makes it to have better cross language support in the program. Use of data visualisation modules like Matplotlip and Seaborn is quite efficient on this platform. I use this often to make my python projects and ML projects. **What do you dislike about The Jupyter Notebook?** Sometimes if the code is big and has too many cells, it takes too much time to execute. It runs on the browser of your choice but it aslo depends on the version of the browser thus it is very important to maintain the version of the browser updated. And it is difficult to make any version control changes like Git or to upload it to Github. **What problems is The Jupyter Notebook solving and how is that benefiting you?** As the code runs in seperate cells it solves the problem of real time data visualisation and representation on a map, bar graph, pie chart, etc. thus it is faster to view and make analysis of the information of a scattered data. This platform provides the ease of learning by giving free tutorials to the users and documentations. The UI is suitable for new users to make used to the platform. ### 5. Best for Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 20, 2024 **What do you like best about The Jupyter Notebook?** The User Interface that allows flexibility of Data Analysis **What do you dislike about The Jupyter Notebook?** File loading issues of the file's size is too large **What problems is The Jupyter Notebook solving and how is that benefiting you?** It helps solving any complex problems which are data centric ## 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?filters%5Bsentiment_snippet%5D=1809736&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+22%3A16%3A27+-0500&secure%5Bsession_id%5D=b4eaf059-9474-4f20-89ae-d8469e5c885d&secure%5Btoken%5D=d3945329da54e0d87e6929e42037568d6d024d0bdce5e0cbb50fa597d8c8a96b&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 (3,098 reviews) - [PyCharm](https://www.g2.com/products/pycharm/reviews) - 4.6/5.0 (767 reviews) - [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) - 4.3/5.0 (355 reviews)