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Flutter VS Jupyter

Compare Flutter VS Jupyter and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Flutter logo Flutter

Build beautiful native apps in record time 🚀

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.
  • Flutter Landing page
    Landing page //
    2021-12-14
  • Jupyter Landing page
    Landing page //
    2023-06-22

Flutter features and specs

  • Cross-Platform Development
    Flutter allows you to create applications that run on multiple platforms, including iOS, Android, web, and desktop, using a single codebase, thereby significantly reducing development time and effort.
  • Hot Reload
    The Hot Reload feature allows developers to see the results of their code changes almost instantly without a full restart, boosting productivity and making the debugging process more efficient.
  • Rich Set of Pre-Built Widgets
    Flutter offers a comprehensive collection of customizable widgets that follow modern design guidelines, allowing developers to build attractive and consistent UIs effortlessly.
  • Performance
    Flutter applications are compiled directly to native ARM code, which can result in superior performance comparable to native applications.
  • Strong Community Support
    As an open-source project, Flutter has a large and active community, providing abundant resources, third-party libraries, and plugins to accelerate development.

Possible disadvantages of Flutter

  • Large App Size
    Flutter apps tend to have a larger file size compared to native apps, which could be a concern for users with limited storage space or slow internet connections.
  • Limited Ecosystem
    While Flutter is growing rapidly, its ecosystem is not yet as mature as those of more established frameworks, meaning that certain third-party libraries, tools, and plugins might be lacking or underdeveloped.
  • Platform-Specific APIs
    Despite its cross-platform capabilities, Flutter may require the development of custom platform-specific code for certain functionalities, which could complicate the development process.
  • Learning Curve
    Flutter uses Dart, a programming language that is less commonly used compared to JavaScript, Java, or Swift, which may result in a steeper learning curve for new developers.
  • State Management Complexity
    Managing states effectively in large applications can be challenging in Flutter, potentially leading to convoluted code if not handled properly.

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.

Flutter videos

+ Add

beginning of flutter youtube channel

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 Flutter and Jupyter)

Flutter

Jupyter

Development Tools
100 100%
Development Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Developer Tools
100 100%
Developer 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 Flutter and Jupyter

Flutter Reviews

Explore 9 Top Eclipse Alternatives for 2024
With Flutter 2’s release in 2021, developers now have full support to construct intuitive Windows apps, marking another milestone in Flutter’s inclusive cross-platform vision.
Source: aircada.com
Top 10 Flutter Alternatives for Cross-Platform App Development
So, above are some of the Flutter alternatives you can consider for your upcoming projects. To make the right selection, you should analyze the characteristics of your applications, which will help you make the most appropriate selection. You can also get in touch with a Flutter development company to go with the right option.
Source: www.moontechnolabs.com
Top 5 Flutter Alternatives for Cross-Platform Development
Qt’s native capabilities contribute to its good app performance and size. Compared to Flutter, Flutter apps tend to be larger than native apps. However, the framework’s features and language are designed to boost Flutter app performance.
Source: www.miquido.com
Exploring 15 Powerful Flutter Alternatives
Beyond official Flutter built by Google, Flutter Community is an open-source fork-adding capability and component. Flutter Community has specifically expanded device testing coverage beyond Google’s in-house capabilities. With contributors volunteering devices for testing worldwide, Flutter Community tracks compatibility across over 3000 device variants spanning multiple...
Source: positiwise.medium.com
Top 10 Android Studio Alternatives For App Development
Flutter is a framework that is used by stack developers to build multi-platform apps from a single codebase. It is an open-source project which was developed by Google to build app UI.
Source: www.geeksforgeeks.org

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, Flutter should be more popular than Jupyter. It has been mentiond 363 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.

Flutter mentions (363)

  • 🚀 iOS vs Android Development: Which One Should You Learn First? (The Truth No One Tells You!)
    🎯 Still confused? Start with Flutter, which lets you build both iOS & Android apps with one codebase! Check it out here. - Source: dev.to / about 2 months ago
  • Writing and Reading NFC in Flutter | Comprehensive Guide
    Flutter provides robust support for NFC through third-party packages, making implementation seamless. - Source: dev.to / 2 months ago
  • Building cost-effective AI-driven MVPs with Flutter development services
    Flutter is a powerful, popular, and open-source platform known for its developer-friendly environment, wide ecosystem of libraries, extensions and other tools. A key feature of Flutter app development services is that it promotes the development of cross-platform applications without needing to build or write two or three different codebases. - Source: dev.to / 3 months ago
  • How to Build a CRUD Application Using Flutter & Strapi
    In this tutorial, I'll show you how to build a full-featured mobile CRUD application with Flutter and Strapi 5. - Source: dev.to / 4 months ago
  • React v19 has been released
    I don't agree but if you're looking for something that renderers everything in a canvas it's called Flutter https://flutter.dev/, and strangely it's made by Google, even though Flutter's success means the end of scraping the web for search. - Source: Hacker News / 5 months 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 Flutter and Jupyter, you can also consider the following products

React Native - A framework for building native apps with React

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.

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

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

Ionic Framework - A front-end SDK to develop applications with HTML5 , CSS3 and JavaScript.

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

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