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Code.org VS Jupyter

Compare Code.org VS Jupyter and see what are their differences

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Code.org logo Code.org

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

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.
  • Code.org Landing page
    Landing page //
    2023-09-24
  • Jupyter Landing page
    Landing page //
    2023-06-22

Code.org features and specs

  • Accessibility
    Code.org provides free resources and courses to ensure that computer science education is accessible to everyone, regardless of socioeconomic status.
  • User-Friendly Interface
    The platform has a highly intuitive and easy-to-navigate interface, which is especially beneficial for young learners and beginners.
  • Comprehensive Curriculum
    Code.org offers a wide range of courses that cover fundamental concepts in computer science, from basic coding to more advanced topics like artificial intelligence.
  • Interactive Learning
    The platform incorporates interactive elements such as puzzles and games to make learning more engaging and enjoyable for students.
  • Professional Development
    Code.org provides resources and training programs for teachers, helping them integrate computer science into their classroom curriculum.
  • Community Support
    The platform has strong community support, including forums and user groups, which allows for peer-to-peer learning and collaboration.

Possible disadvantages of Code.org

  • Limited Depth
    While Code.org is excellent for beginners, it may not offer enough depth for advanced learners who seek more challenging content and robust problem-solving exercises.
  • Internet Dependency
    The platform requires a stable internet connection for most activities, which may not be feasible in areas with limited access to technology.
  • Standardized Curriculum
    The standardized curriculum may not fully align with the specific learning needs or interests of every student, making it less customizable.
  • Overemphasis on Visual Learning
    The heavy reliance on visual and interactive elements might not be suitable for all learning styles, particularly for those who prefer text-based or auditory learning.
  • Resource Limitations for Advanced Topics
    While the platform covers a broad range of topics, the depth and resources available for more specialized or advanced topics are limited compared to more specialized platforms.

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.

Analysis of Code.org

Overall verdict

  • Code.org is a highly valuable resource for anyone looking to learn the basics of coding and computer science. Its structured courses and supportive community make it an excellent starting point for beginners of all ages, especially in educational settings.

Why this product is good

  • Code.org is a widely recognized nonprofit organization that aims to expand access to computer science education. It offers a variety of free curriculum and resources designed to introduce students of all ages to coding and computer science. The platform is praised for its engaging, interactive courses, which often use gamified lessons to make learning fun and accessible. Code.org also works to promote diversity in tech by reaching schools in underserved communities and encouraging participation from women and underrepresented minorities.

Recommended for

  • K-12 students
  • Educators seeking resources for teaching coding
  • Beginners interested in learning programming
  • Parents looking for educational activities for their children
  • Anyone interested in exploring computer science fundamentals

Code.org videos

+ Add

Programming For Kids: Scratch vs Code.org

More videos:

  • Review - What is code.org?
  • Review - Code.org Review and Short Description

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 Code.org and Jupyter)

Code.org

Jupyter

Online Learning
100 100%
Online Learning
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Kids Education
100 100%
Kids Education
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Code.org 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 Code.org and Jupyter

Code.org Reviews

  1. Aaryan Mantri
    · policeman at hello.com ·
    Code.Org Review

    Code.org is much easier to use than Thunkable.First of all names say everything.Second,it has more modes than just "drag-and-drop".

    👍 Pros:    Pretty design|Price|Easy layout
    👎 Cons:    Unproffesional|Lack support by phone|No sign up cost
16 Scratch Alternatives
Code.org is an online marketplace that can empower students, specifically students, to get detailed knowledge regarding the principles of the computer sciences. This platform can let its users access the free coding lessons so that everyone with the seek can get their required data without paying anything. It can even permit schools to add more about computer science and the...
Source: www.justalternativeto.com
20 Best Scratch Alternatives 2023
Nevertheless, the platform has the stats to prove its dependability. More than 67 million people use Code.org, including over two million teachers. In addition, the platform records over 208 million projects so far.
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, Code.org should be more popular than Jupyter. It has been mentiond 385 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.

Code.org mentions (385)

  • Behold
    Code.org uses an extremely outdated version of javascript, It's so hard to access data in array, im basically forced to do this. Cant wait to ditch this shit. Source: over 1 year ago
  • Ask HN: Animation Software for Kids?
    I'm not sure if your 4.5yo is old enough to try Scratch[1] but nothing is too young these days. My elder got into Scratch around that time. These days, my younger one is into https://code.org and she make things go around, do stuffs, etc. 1. https://scratch.mit.edu. - Source: Hacker News / over 1 year ago
  • Please help me with my code.org project. I cant post on the code.org forum bc its only for teachers
    So I am using code.org to make a platforming game, and if I am halfway off of a platform I slide off of it. Idk if this is a quirk with code.org or if I did something wrong. You can check the hitboxes by pressing debug sprites in the bottom right corner. Source: over 1 year ago
  • [Grade 9 Digital Literacy] How do I view the assessment on code.org
    My school hosts the unit tests for digital literacy on code.org as the "assessment day" at the bottom of the unit. Is there any way to view the test before it is unlocked by the teacher on a student account? Source: over 1 year ago
  • Advice for my autistic son
    My four year old was kicked out of his preschool class, and the school recommended I set him up with applied behavioral analysis. Though it hurt to read the email from the school, I don't blame them at all, he does have impulse control issues and doesn't always pay attention when others are talking to him. He sometimes also throws things and apparently pushed another student once. Outside of the social... Source: over 1 year 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 / 12 months ago
View more

What are some alternatives?

When comparing Code.org and Jupyter, you can also consider the following products

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

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.

Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, we’ve taught over 45 million people using a tested curriculum and an interactive learning environment.

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

Free Code Camp - Learn to code by helping nonprofits.

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

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