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React Native Paper by Callstack VS Jupyter

Compare React Native Paper by Callstack VS Jupyter and see what are their differences

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React Native Paper by Callstack logo React Native Paper by Callstack

Material Design for React Native (Android & iOS)

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 Native Paper by Callstack Landing page
    Landing page //
    2023-10-16
  • Jupyter Landing page
    Landing page //
    2023-06-22

React Native Paper by Callstack features and specs

  • Cross-Platform Compatibility
    React Native Paper provides a consistent design and behavior across both iOS and Android platforms, allowing developers to build applications that work seamlessly on multiple devices.
  • Material Design Integration
    The library is based on Google's Material Design, offering a set of pre-built, highly customizable components that enable developers to achieve a cohesive look and feel for their applications.
  • Theming Support
    React Native Paper includes comprehensive theming support, allowing developers to easily switch themes and adjust colors to meet brand requirements or user preferences.
  • Active Community and Support
    Being maintained by Callstack, a company with significant expertise in React Native, ensures that React Native Paper is well-documented, frequently updated, and supported by an active community.
  • Customizable Components
    The components provided by React Native Paper are highly customizable, enabling developers to override default styles and functionalities to better suit their application's needs.

Possible disadvantages of React Native Paper by Callstack

  • Performance Overhead
    While React Native Paper provides many useful components, integrating it into a project can introduce some performance overhead, which might be noticeable in resource-constrained environments.
  • Learning Curve
    Developers new to React Native Paper or Material Design may face a learning curve understanding how to effectively use and customize the components according to the design guidelines.
  • Lacks Advanced Components
    Although React Native Paper covers most of the basic UI components, it may lack some advanced components or features, which might require developers to integrate additional libraries.
  • Dependency on Material Design
    Since React Native Paper relies heavily on Material Design principles, it may not be suitable for applications that require a unique or non-material design aesthetic.

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 Native Paper by Callstack videos

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Jupyter videos

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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 React Native Paper by Callstack and Jupyter)

React Native Paper by Callstack

Jupyter

React Native
100 100%
React Native
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Development Tools
100 100%
Development Tools
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 React Native Paper by Callstack and Jupyter

React Native Paper by Callstack Reviews

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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 seems to be a lot more popular than React Native Paper by Callstack. While we know about 216 links to Jupyter, we've tracked only 12 mentions of React Native Paper by Callstack. 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.

React Native Paper by Callstack mentions (12)

  • 5 Easy Methods to Implement Dark Mode in React Native
    Several UI libraries are available for React Native developers today. One of the most prominent is React Native Paper, a cross-platform material design for React Native. It is a collection of customizable and production-ready components for React Native, following Google’s Material Design guidelines. With 30+ customizable components, it is a great choice to use with Material UI. - Source: dev.to / 3 months ago
  • Exploring the Best UI Component Libraries for React Native apps
    React Native Paper is a set of customizable and production-ready React Native components based on Google's Material Design specifications. It offers an option for integrating a Babel plugin, thereby minimizing its bundle size by eliminating modules that are not in use. Overall, React Native Paper is a popular choice for developers looking to create aesthetically pleasing user interfaces for React Native... - Source: dev.to / about 1 year ago
  • 7 Popular React Native UI Component Libraries You Should Know
    React Native Paper is a collection of customizable and production-ready components for React Native, following Google’s Material Design guidelines. Global theming support and an optional babel plugin to reduce bundle size are also there. - Source: dev.to / over 2 years ago
  • Is There Something Like Bootstrap (or Responsive design) in React Native?
    Nothing exists that I'm aware of like bootstrap in that sense, especially because people are typically moving away from it. There are UI kits like react-native-paper and Tamagui that exports pre-styled components. Source: over 2 years ago
  • is there a react native equal to MUI for reactjs?
    You don't name what kind of components you want to have all in one lib so I think react native paper is close to MUI visually. Source: over 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 / 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 / about 1 year ago
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What are some alternatives?

When comparing React Native Paper by Callstack and Jupyter, you can also consider the following products

NativeBase - Experience the awesomeness of React Native without the pain

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.

React Native UI Kitten - Customizable and reusable react-native component kit

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

Galio - Free and open-source React Native UI built from the ground up as a framework

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

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