---
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 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=10&section=pricing&secure%5Bexpires_at%5D=2026-08-09+06%3A27%3A54+-0500&secure%5Bsession_id%5D=a00f1a20-7aba-4a90-8870-e8d2b6cc0639&secure%5Btoken%5D=8f7e292be6eb8b4356e8f9506e86bd92a6ed2de2c7221e7cdcf136b361f0b0a7&format=llm_user)
## The Jupyter Notebook Integrations
  - [GitHub](https://www.g2.com/products/github/reviews)
  - [Google Colab Copilot](https://www.g2.com/products/google-colab-copilot/reviews)
  - [machine-learning in Python](https://www.g2.com/products/machine-learning-in-python/reviews)
  - [PythonAnywhere](https://www.g2.com/products/pythonanywhere/reviews)
  - [Turing.com](https://www.g2.com/products/turing-com/reviews)

## The Jupyter Notebook Features
**AI Copilot**
- AI Copilot

**Generative AI**
- Generative AI

**For Developers**
- For Developers

**Game Development**
- Game Development

**Deployment Management**
- Deployment Management

**Code Development**
- Code Development

**Code Editing**
- Code Editing

**Website Development**
- Website Development

**Web/Mobile App Development**
- Web/Mobile App Development

**Debugging**
- Debugging

**Data Modeling**
- Data Modeling

**Graphical User Interface**
- Graphical User Interface

**Functionality **
- Ease of Use
- File Management
- Multi-Language Support
- Customization
- Straight-Out-the-Box Functionality
- Help Guides
- Patching & Updates

**Agentic AI - AWS Marketplace**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration

## Top The Jupyter Notebook Alternatives
  - [Eclipse](https://www.g2.com/products/eclipse/reviews) - 4.3/5.0 (3,097 reviews)
  - [PyCharm](https://www.g2.com/products/pycharm/reviews) - 4.6/5.0 (766 reviews)
  - [AWS Cloud9](https://www.g2.com/products/aws-cloud9/reviews) - 4.3/5.0 (355 reviews)

