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Jupyter VS React Boilerplate

Compare Jupyter VS React Boilerplate and see what are their differences

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Contents:
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  3. » Reviews
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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.

React Boilerplate logo React Boilerplate

Offline-first, highly scalable foundation for your next app
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • React Boilerplate Landing page
    Landing page //
    2023-09-18

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.

React Boilerplate features and specs

  • Established Structure
    React Boilerplate provides a well-organized and consistent project structure, making it easier for developers to follow best practices and maintain a scalable codebase.
  • Advanced Configuration
    The boilerplate offers a comprehensive setup with support for modern JavaScript features, including Webpack, Babel, and ESLint, reducing the need for manual configuration.
  • Redux Integration
    React Boilerplate comes with built-in support for Redux, helping manage application state efficiently and seamlessly.
  • Performance Optimization
    The boilerplate includes performance-focused tools and configurations such as code splitting, which helps in optimizing the application's performance.
  • Community and Documentation
    Being a popular project, React Boilerplate has extensive documentation and an active community, providing plenty of resources and support.
  • Testing Setup
    It includes testing frameworks like Jest and Enzyme, which facilitate writing and running tests for your React components and applications.

Possible disadvantages of React Boilerplate

  • Complex Initial Setup
    The extensive initial setup and configuration process might be daunting for beginners or developers unfamiliar with advanced React and Webpack configurations.
  • Overhead for Small Projects
    For small or simple projects, the boilerplate might feel like overkill, introducing unnecessary complexity and overhead.
  • Steep Learning Curve
    Due to its comprehensive nature and numerous built-in features, there can be a steep learning curve for developers who are new to the ecosystem.
  • Maintenance
    Keeping up with updates and changes in all included libraries and tools can be time-consuming and may require regular maintenance to ensure compatibility and security.
  • Customization Difficulties
    Altering the default configurations and structures to fit unique needs can sometimes be challenging and may require in-depth knowledge of the underlying tools.

Analysis of React Boilerplate

Overall verdict

  • React Boilerplate is a solid choice for developers looking to kickstart their React projects with a robust and comprehensive setup. It is particularly beneficial for projects that require scalability and performance optimizations from the start. However, it might be overkill for small or simple applications, where a lighter setup could be more efficient.

Why this product is good

  • React Boilerplate is considered good by many developers because it provides a well-structured framework for building scalable and maintainable React applications. It includes best practices and optimizations out of the box, such as Redux for state management, code splitting for performance, and built-in tools for testing, linting, and transpiling. This allows developers to focus more on building features rather than configuring and setting up the infrastructure.

Recommended for

    React Boilerplate is recommended for mid to large-scale React projects, teams that value architecture and maintainability, and developers who want to enforce coding standards and best practices from the beginning. It's also ideal for projects that anticipate a need for additional features, as its modular structure allows for easier expansion.

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

React Boilerplate videos

+ Add

React Boilerplate com Redux e TypeScript

Category Popularity

0-100% (relative to Jupyter and React Boilerplate)

Jupyter

React Boilerplate

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
React
0 0%
React
100% 100

User comments

Share your experience with using Jupyter and React Boilerplate. For example, how are they different and which one is better?
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Reviews

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

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

React Boilerplate Reviews

We have no reviews of React Boilerplate yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than React Boilerplate. While we know about 216 links to Jupyter, we've tracked only 10 mentions of React Boilerplate. 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 / 3 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 / 4 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 / 5 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 / 9 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 / 12 months ago
View more

React Boilerplate mentions (10)

  • Redux developers, please stop doing this!
    I worked on a React project in 2019, I believe it was built on top of the react-boilerplate template, and the developer experience with Redux was so bad that I became a Vue developer. - Source: dev.to / 10 months ago
  • Top 5 React Boilerplates to Know in 2023
    2 React Boilerplate is a reliable and well-designed boilerplate in the Javascript UI Libraries, with 28.2k ratings on GitHub. The super-rich component and font base, together with Redux, Mocha, Redux-Saga, Jest, React Router, PostCSS, and reselect are all included. They support SEO indexing. Concentrating on app development and performance is more than enough. - Source: dev.to / over 2 years ago
  • Redux Sagas firing multiple times if injected in different containers
    We are using https://github.com/react-boilerplate/react-boilerplate and have a classic store layout with multiple components. Source: about 3 years ago
  • react-boilerplate authentication login page flashes on page reload
    I'm working on an app with a login page and the rest of the pages of the app (should be logged in to view). I'm using react-boilerplate. From this example, I edited my asyncInjectors.js file to have redirectToLogin and redirectToDashboard methods:. Source: about 3 years ago
  • Identity Server 4 Social Login for SPA
    I'm working on application using a Web API(asp.net core) and a SPA (react-boilerplate). I'm starting work in user registration/login and one of the requirements is to allow for user to sign in with facebook, google, etc. Source: about 3 years ago
View more

What are some alternatives?

When comparing Jupyter and React Boilerplate, 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.

mvpbase - An MVP boilerplate marketplace where you can find developers and designers to make the first version of your SaaS product.

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

React Native Desktop - Build OS X desktop apps using React Native

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

SaaS Boilerplate - Launch a SaaS business faster with this boilerplate app

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