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ASP.NET VS Jupyter

Compare ASP.NET VS Jupyter and see what are their differences

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ASP.NET logo ASP.NET

ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.

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.
  • ASP.NET Landing page
    Landing page //
    2023-04-29
  • Jupyter Landing page
    Landing page //
    2023-06-22

ASP.NET features and specs

  • Performance
    ASP.NET is known for its high performance and scalability. It compiles server-side code to DLL files, which is executed on the server side, thereby speeding up the application's response time.
  • Security
    ASP.NET provides built-in security features like form authentication and Windows authentication, as well as protection against common threats such as SQL injection, cross-site scripting, and request forgery.
  • Rich Toolbox
    Visual Studio, the Integrated Development Environment (IDE) for ASP.NET, offers a rich toolbox with a plethora of controls, automatic deployment features, and other tools that significantly speed up development.
  • Cross-Platform Support
    ASP.NET Core is a cross-platform framework, which means you can run your web applications on Windows, Linux, and macOS.
  • Community and Support
    ASP.NET has a strong community and extensive documentation, making it easier to find solutions to problems and ensuring continuous improvement and support.

Possible disadvantages of ASP.NET

  • Learning Curve
    The framework can be complex for beginners, especially those without experience in C# or the .NET ecosystem.
  • Cost
    While ASP.NET Core is free and open-source, some advanced features and tools require a Visual Studio subscription, which can be expensive.
  • Hosting
    Although ASP.NET Core has improved in terms of cross-platform hosting, traditional ASP.NET applications are primarily optimized for Windows servers, limiting hosting options.
  • Resource Intensive
    ASP.NET applications can be more resource-intensive than applications built with some other frameworks, which can lead to higher infrastructure costs.
  • Complexity
    The framework offers a lot of features and functionalities, which can sometimes make it overly complex and harder to manage for smaller projects.

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.

ASP.NET videos

+ Add

Build Rating and Review System in ASP.NET MVC and Entity Framework

More videos:

  • Review - ASP.NET MVC - Review 0
  • Review - IMDeanyP Movie Review Site - ASP.NET / C# / SQL Server / MVC / Entity Framework

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

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

Category Popularity

0-100% (relative to ASP.NET and Jupyter)

ASP.NET

Jupyter

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Frameworks
100 100%
Web Frameworks
0% 0
Data Dashboard
0 0%
Data Dashboard
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 ASP.NET and Jupyter

ASP.NET Reviews

The 20 Best Laravel Alternatives for Web Development
ASP.NET’s got that Microsoft muscle, a powerhouse of a framework for building dynamic web services and more. It lets you roll out robust websites with the smoothness that comes with deep pockets. Perfect for .NET software development teams.
Source: tms-outsource.com
Top 10 Phoenix Framework Alternatives
Moving over to the .NET platform, Asp.Net is an open-source web framework developed by Microsoft that allows developers to build dynamic web pages, apps, and services using HTML, JavaScript, and CSS.
Source: blog.back4app.com
10 Ruby on Rails Alternatives For Web Development in 2022
Last but not least, a back-end web framework created by Microsoft for the development of dynamic web pages - ASP.NET. Built on top of C# it is one the fastest frameworks available on the market. ASP.NET is capable of handling 7.01 million requests per second while Django handles only 79,266 requests. The framework is mainly used for building web applications, APIs,...
Source: www.ideamotive.co

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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Jupyter should be more popular than ASP.NET. It has been mentiond 216 times since March 2021. 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.

ASP.NET mentions (22)

  • 30,656 Pages of Books About the .NET Ecosystem: C#, Blazor, ASP.NET, & T-SQL
    Most of the books teach C# and .NET, ASP.NET, Blazor, or T-SQL. I also found some .NET-specific coverage of wider topics: architecture and design, concurrency, automated tests, functional programming, and dependency injection. - Source: dev.to / about 2 months ago
  • Diversify Your Tech Stack: Uncovering Powerful Node js Alternatives
    Built by Microsoft, .NET is a high-performance application platform that uses C# for programming. .NET is cross-platform and comes with plenty of libraries and APIs covering collections, networking, and machine learning to build different types of applications. ASP.NET Core widens the .NET developer platform with libraries and tools geared towards web applications. - Source: dev.to / 9 months ago
  • C# Fundamentals
    Web Applications: ASP.NET, a powerful framework for building web applications, is primarily based on C#. Developers can create dynamic websites, web APIs, and services with ASP.NET. - Source: dev.to / 12 months ago
  • What’s New in Bold Reports 6.1 April 2024 Release
    The Bold Reporting Tools ASP.NET MVC and ASP.NET Web Forms will no longer be deployed in the embedded build. However, bug fixes are diligently transferred to our public repositories until Microsoft officially announces the end of support for these platforms. For new web application development or to stay up-to-date, Blazor or ASP.NET Core are recommended. - Source: dev.to / about 1 year ago
  • Is ASP.NET Core the next step in my career being an ASP.NET MVC developer? Or are there other technologies I should look at?
    Sorry for the possibly dumb questions. But then does .NET 5 have a "Model View Controller" workflow? I'm seeing ASP.NET still exists. But it's just "ASP.NET", no "MVC" or "Core" attached to the end. And they seem to recommend Blazor instead of C# which is something I only know the name of. Source: about 2 years ago
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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 2 months 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

What are some alternatives?

When comparing ASP.NET and Jupyter, you can also consider the following products

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

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.

Django - The Web framework for perfectionists with deadlines

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

Laravel - A PHP Framework For Web Artisans

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

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