Jupyter Notebook vs. Visual Studio Code Comparison


Jupyter Notebook Project Jupyter	Visual Studio Code Microsoft	+	+
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About The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.	About Visual Studio Code (VS Code) is Microsoft’s open-source AI code editor designed to make coding faster, smarter, and more collaborative. It supports thousands of extensions and nearly every programming language, offering developers a lightweight yet powerful environment for writing, testing, and debugging code. With AI-powered features like GitHub Copilot, Next Edit Suggestions, and Agent Mode, VS Code helps you code with precision, automate complex tasks, and streamline development workflows. It integrates seamlessly with cloud services, remote repositories, and tools like Git, Docker, and Azure. The editor is fully customizable, allowing you to personalize your layout, color themes, and keyboard shortcuts. Whether coding locally or in the browser, VS Code delivers a complete development experience for individuals and teams alike.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Anyone who wants to create and share documents that contain live code, equations, visualizations and narrative text	Audience Developers, data scientists, and engineering teams seeking a customizable, AI-powered code editor that enhances productivity, supports all major languages, and integrates seamlessly with cloud and collaboration tools
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.0 / 5 support 4.5 / 5 Read all reviews	Reviews/Ratings Overall 4.8 / 5 ease 4.8 / 5 features 4.8 / 5 design 4.8 / 5 support 4.7 / 5 Read all reviews
Pros & Cons from Real Users Pros Step-by-step casual coders like me dream of such a simple software. I use the tool to execute simple Python scripts and Jupyter is far easier to code on that Visual Studio or even the Python shell itself. Keyboard shortcuts make it even easier to use. • It is web-based, so saves you a lot of space. • Allows you to import your own code in many formats. • You can also work with visuals and charts. • I like that you can code line-by-line or all at once with ctrl + Enter shortcut, which is very useful for debugging. • Mostly, I like that it is also a great tool for teaching and practicing machine learning. Cons Would be better if installation is easier. I had to watch a few YouTube videos to understand how to start installation. • It gets buggy at times, and takes some time to load initially. • Can be slow even on high speed networks. • The interface is pretty old fashioned.	Pros & Cons from Real Users Pros I have used Visual Studio Code mainly for automation scripting and day to day code updates and I like that it is lightweight, easy to navigate, and supports useful extensions. It makes it convenient to manage scripts, terminal commands and quick debugging in one place Lightweight and very fast Excellent extensions for HTML, CSS, JSON, schema, Markdown Makes debugging tracking scripts much easier Powerful search across folders and files Free and works smoothly even on low systems Linux, macOS, and Windows are among the operating systems that Visual Studio Code (VS Code) is compatible with. Its cross-platform compatibility makes it a flexible option for developers working in various contexts. 1. It has an excellent set of tools for debugging and testing the code. 2. It can be customized heavily from the settings or from the configuration files. 3. Furthermore, it has a lot of extensions available on the extension store to increase the features and functionality of the code editor. 4. It supports all the major programming languages and frameworks. 5. It is extremely light on the system. Best free IDE that i have used so far. It is very light weight in terms of memory utilisation and works smooth on my Mac Book PRO. I really like the window splitting feature and renaming my terminal tabs. I can run my different environments in different named tabs. Cons One issue I have seen is that it can slow down a bit when too many extensions are installed or when the project becomes large Slight learning curve if you’ve never seen code editors Too many extensions can become confusing Not beginner-friendly on day one without YouTube help VS Code could be thought to be less efficient for really big projects when compared to more complex IDEs. Nevertheless, the size and complexity of any project will determine this. It does not have dedicated build tools available on the options and to use that the user has to use command in the terminal. Although the features are great, one feature that i really miss out on this IDE is the use of GIT. E.g. if it does not support a GUI to resolve merge conflicts. It is handy for updating the repo but not that flexible for resolving conflicts.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Project Jupyter Founded: 2014 jupyter.org	Company Information Microsoft Founded: 1975 United States code.visualstudio.com
Alternatives Amazon SageMaker Amazon	Alternatives Anaconda
Posit	Dataiku
Databricks	PopSQL
JupyterLab Jupyter	JetBrains Fleet JetBrains
JetBrains DataSpell JetBrains View All	Atom GitHub View All
Categories Application Development Supported Data Science Supported	Categories AI IDEs Supported Code Editors Supported HTML Editors Supported IDE Supported JSON Editors Supported Markdown Editors Supported Software Development Life Cycle (SDLC) Supported Software Documentation Supported Source Code Management Supported Text Editors Supported
	Show More Features Software Documentation Features Access Roles / User Permissions Supported Automatic Documentation Generation Supported Collaboration Tools Supported Docs Web Hosting Supported Feedback Capture Supported Markdown Support Supported Multiple Formats Support Supported Multiple Versions Support Supported reStructured Text Support Supported Version Control Supported Webhooks Supported WYSIWIG Editor Not Supported Source Code Management Features Access Controls/Permissions Not Supported Bug Tracking Supported Build Automation Supported Change Management Supported Code Review Supported Collaboration Not Supported Continuous Integration Not Supported Repository Management Not Supported Version Control Not Supported Text Editors Features API Supported Auto-Complete Supported Code Folding Supported Column Editing Supported Customizable Themes Supported Debugging Supported Formatting / Table Editing Supported Keyboard Shortcuts Supported Multi-Monitor Editing Supported Syntax Highlighting Supported WYSIWYG Supported
Integrations Anaconda Supported Apolo Supported Azure Marketplace Supported BLACKBOX AI Supported Crowdin Supported Devin Desktop Supported Elice Test Supported Google Colab Supported Jovian Supported NEO Supported Noma Supported Pop!_OS Supported Posit Supported PostgresML Supported Racket Supported Tabnine Supported Thunder Compute Supported VESSL AI Supported goormIDE Supported packet.ai Supported Show More Integrations View All 140 Integrations	Integrations Anaconda Supported Apolo Supported Azure Marketplace Supported BLACKBOX AI Supported Crowdin Supported Devin Desktop Supported Elice Test Supported Google Colab Supported Jovian Supported NEO Supported Noma Supported Pop!_OS Supported Posit Supported PostgresML Supported Racket Supported Tabnine Supported Thunder Compute Supported VESSL AI Supported goormIDE Supported packet.ai Supported Show More Integrations View All 479 Integrations
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