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Jupyter VS Microsoft Visual Studio

Compare Jupyter VS Microsoft Visual Studio and see what are their differences

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Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Microsoft Visual Studio logo Microsoft Visual Studio

Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Microsoft Visual Studio Landing page
    Landing page //
    2023-01-18

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

Microsoft Visual Studio features and specs

  • Comprehensive Development Environment
    Microsoft Visual Studio offers a robust and comprehensive integrated development environment (IDE) that supports multiple programming languages, including C#, VB.NET, F#, C++, and Python. This makes it versatile for a wide variety of development needs.
  • Rich Feature Set
    The platform provides an extensive set of built-in tools and features, such as code analysis, debugging, and version control. These tools improve productivity and help maintain code quality.
  • IntelliSense
    Visual Studio’s IntelliSense offers powerful code completion, highlighting, and suggestion features that enhance the coding experience and reduce the likelihood of errors.
  • Integration with Azure and Other Microsoft Services
    The IDE integrates seamlessly with Microsoft Azure and other Microsoft services, making it easier to develop, deploy, and manage applications in the cloud.
  • Large Community and Support
    As a popular IDE, Visual Studio has a large user base and an active community. This results in a wealth of resources, including tutorials, forums, and extensions.
  • Customizability
    Visual Studio allows extensive customization through extensions and plugins, enabling developers to tailor the IDE to meet their specific needs.

Possible disadvantages of Microsoft Visual Studio

  • Resource Intensive
    Visual Studio is known to be resource-heavy, requiring significant system memory and processing power. This can slow down development, especially on less powerful machines.
  • Complexity
    The abundance of features and tools in Visual Studio can make it overwhelming for beginners or those new to the IDE. Navigating through its numerous menus and options can be challenging initially.
  • Cost
    While Visual Studio Express is free, many advanced features and professional tools are only available in the paid versions (Professional and Enterprise). This can be a drawback for individual developers and small businesses with restricted budgets.
  • Frequent Updates
    Although frequent updates can bring new features and improvements, they can also introduce bugs and require ongoing time investment to manage transitions and adapt to changes.
  • Windows-Centric
    While Visual Studio now supports macOS, it is traditionally Windows-centric and may not provide the same level of performance or features on other operating systems compared to its Windows counterpart.
  • Learning Curve
    Due to its extensive feature set and capabilities, there is a steep learning curve associated with Visual Studio. It may take considerable time for new users to become proficient.

Jupyter videos

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Microsoft Visual Studio videos

No Microsoft Visual Studio videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Jupyter and Microsoft Visual Studio)
Data Science And Machine Learning
IDE
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Text Editors
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Jupyter and Microsoft Visual Studio

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.

Microsoft Visual Studio Reviews

9 Of The Best Android Studio Alternatives To Try Out
Microsoft Visual Studio (Download Here) is an Android studio alternative developed by Microsoft. You can build computer programs, websites, web services, and web applications and use platforms like windows forms, windows stores, Microsoft Silverlight, and Windows API.
What's The Best C++ IDE? Our Top C++ IDEs & Editors In 2024
As you'd expect, this IDE supports a vast array of C++ standards, libraries, and frameworks, catering to legacy applications and modern, cutting-edge projects. So whether you're building a simple console application or a high-performance game using Unreal Engine, Visual Studio is up to the job.
Source: hackr.io
Android Studio Alternative
Visual Studio is the best alternative for android studio. It is an IDE platform developed by Microsoft. It is used to build computer programs, website, web apps, mobile apps and web services. It uses various Microsoft software development platforms such as windows forms, windows API, windows store, windows presentation foundation and microsoft silverlight. Visual studio has...
Source: www.educba.com
Top 10 Visual Studio Alternatives
Visual studio has been in the game for 20 years or more. The first version of the visual studio was established in 1997. However, since the establishment years of the Visual Studio, there have been many changes. Microsoft visual studio is an integrated development environment that Microsoft programs.
Best Eclipse Alternatives to Use
Visual Studio is the most used IDE for .Net developers. It is an IDE that can be used to create almost all types of applications. It is used by many developers across the world to create many types of applications, both desktop and web-based.
Source: eclipsewin.com

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Microsoft Visual Studio. While we know about 216 links to Jupyter, we've tracked only 1 mention of Microsoft Visual Studio. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 1 month ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
View more

Microsoft Visual Studio mentions (1)

  • Why don't schools teach the modern c++?
    While the editor seems to old fashioned there isn't anything particularly wrong in using it for learning. Alternatively you can propose to your teacher about https://visualstudio.microsoft.com/vs/express/ . IMO editor is not a big factor when we are talking about high school learning. Source: almost 4 years ago

What are some alternatives?

When comparing Jupyter and Microsoft Visual Studio, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

VS Code - Build and debug modern web and cloud applications, by Microsoft