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Scratch VS Jupyter

Compare Scratch VS Jupyter and see what are their differences

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Contents:
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  3. » Reviews
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Scratch logo Scratch

Scratch is the programming language & online community where young people create stories, games, & animations.

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.
  • Scratch Landing page
    Landing page //
    2021-10-17
  • Jupyter Landing page
    Landing page //
    2023-06-22

Scratch features and specs

  • Engaging Interface
    Scratch offers a visually appealing and user-friendly interface that makes it accessible for kids and beginners to learn programming concepts.
  • Community Support
    The platform has a large and active community where users can share projects, get feedback, and collaborate with others, fostering a sense of community and support.
  • Educational Value
    Scratch is designed with a strong pedagogical foundation, helping users to develop problem-solving skills, logical thinking, and creativity.
  • Drag-and-Drop Programming
    The block-based coding in Scratch eliminates syntax errors and simplifies the process of learning programming logic, making it ideal for beginners.
  • Free to Use
    Scratch is completely free to use, which makes it accessible to a wide audience without any financial barriers.
  • Portable
    Being web-based, Scratch can be accessed from any device with an internet connection, providing ease of access and flexibility.

Possible disadvantages of Scratch

  • Limited Advanced Capabilities
    Scratch is mainly designed for beginners and might not offer the depth or complexities needed for more advanced programming projects.
  • Performance Issues
    Larger projects can sometimes become slow or unresponsive, particularly on less powerful devices.
  • Simplified Programming
    The drag-and-drop nature of Scratch, while educational, might limit exposure to the syntax and intricacies of written programming languages.
  • Internet Dependency
    Scratch primarily requires an internet connection, which could be a limitation in areas with poor connectivity.
  • Age Focus
    The platform is highly targeted towards younger audiences, which might not be appealing or suitable for older learners or adults seeking beginner resources.
  • Privacy Concerns
    As with any online community, there are potential privacy and security risks, especially for younger users, which require careful monitoring and guidance.

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.

Scratch videos

+ Add

Scratch 3.0 Review: My Thoughts About Scratch 3.0

More videos:

  • Review - Numark PT01 Scratch Review
  • Review - Meguiar's scratch X 2.0 review

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 Scratch and Jupyter)

Scratch

Jupyter

Kids Education
100 100%
Kids Education
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Game Development
100 100%
Game Development
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Scratch and Jupyter. 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 Scratch and Jupyter

Scratch Reviews

  1. Pratham shah
    · nothing at none ·
    TOO GOOD

    It is just awesome. you can make so many things WITHOUT A TEAM! If you are starting then this is an awesome place to start at.

    🏁 Competitors: Python, Java, Code.org
    👍 Pros:    Good UI|Remix|Works perfectly|100% free|Many, many languages
Top 15 educational software to streamline the learning process
Scratch lets students create interactive stories, games, and animations. The coding projects allow students to experiment and express their ideas, developing 21st-century skills like computational thinking and creativity. Scratch introduces students to programming, STEM and digital literacy in a fun way.
Source: www.lookdigitalsignage.com
16 Scratch Alternatives
It can even permit anyone to access its junior program through which kids can learn how to make any app by taking their focus on the study related to programming. Scratch also comes with facilitating users with the permission to mix all the programming blocks so that they can create multiple characters for singing, jumping, dancing, moving, and more.
Source: www.justalternativeto.com
Coding Websites That Help Kids Learn Programming In A Fun Way in 2023
Scratch, created by MIT students, teaches coding by allowing students to create tales, games, and animations using programming blocks. There is a vibrant online community as well as a step-by-step tutorial to assist those who are just getting started. Students can also use an offline editor to revise their work. ScratchJr, a simplified version of the software, is targeted at...
Source: www.jetlearn.com
20 Best Scratch Alternatives 2023
Unlike Scratch, Snap targets not only kids but also high school and college students. The platform provides a solution for serious computer science study, while Scratch focuses on just the basics.
Source: rigorousthemes.com

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, Scratch should be more popular than Jupyter. It has been mentiond 569 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.

Scratch mentions (569)

  • TikTok Is Harming Children at an Industrial Scale
    I anticipate my kid needing to live in a word with capitalism, it doesn't ncessarily mean that they need a Mastercard at 4 years old. Same with many other things: condoms, keys to a car, access to alcohol. There is a time for everything, and at the age of 4, a young human probably has not yet maxxed out on analog stimuli opportunities. I learned YouTube when it came out in 2006 and I was 21. I've got 19 years of... - Source: Hacker News / about 1 month ago
  • How I Got Started in IT: My Journey to Becoming an Apprentice Support Engineer 🚀
    I've always been fascinated by the technology. I spent many hors playing video games and the first dive into the world of development was when I had to code a game on Scratch. The excercise looked pretty easy: Create a Tamagotchi-like game. Let me tell you - It wasn't easy at all for someone of a young age! There were many things that I needed to pay attention to: Things I have never heard of before! - Source: dev.to / 6 months ago
  • Principles of Educational Programming Language Design
    I would be surprised if your first program was C++? Specifically, getting a decent C++ toolchain that can produce a meaningful program is not a small thing? I'm not sure where I feel about languages made for teaching and whatnot, yet; but I would be remiss if I didn't encourage my kids to use https://scratch.mit.edu/ for their early programming. I remember early computers would boot into a BASIC prompt and I... - Source: Hacker News / 5 months ago
  • There is no such thing as a global method (in Ruby)
    I've been teaching a teenager how to code with smalltalk (Scratch): https://scratch.mit.edu/. - Source: Hacker News / 7 months ago
  • Ask HN: Platform for 11 year old to create video games?
    A good place to start with kids that age is Scratch: https://scratch.mit.edu/. - Source: Hacker News / 8 months ago
View more

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 / 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 / 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

What are some alternatives?

When comparing Scratch and Jupyter, you can also consider the following products

Godot Engine - Feature-packed 2D and 3D open source game engine.

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.

Code.org - Code.org is a non-profit whose goal is to expose all students to computer programming.

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

GDevelop - GDevelop is an open-source game making software designed to be used by everyone.

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

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