Software Alternatives, Accelerators & Startups

CodeRunner VS Jupyter

Compare CodeRunner VS Jupyter and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

CodeRunner logo CodeRunner

An advanced, highly flexible, and easy-to-use programming editor for your Mac.

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.
  • CodeRunner Landing page
    Landing page //
    2021-09-22
  • Jupyter Landing page
    Landing page //
    2023-06-22

CodeRunner features and specs

  • Multi-language Support
    CodeRunner supports a wide range of programming languages, making it a versatile tool for developers who need to work with multiple syntaxes.
  • Lightweight and Fast
    The application is designed to be lightweight, which results in fast performance and quick startup times compared to more resource-intensive IDEs.
  • Customizable Features
    CodeRunner offers users the ability to highly customize their coding environment, from themes to shortcuts, enhancing user productivity and comfort.
  • Integrated Debugging Tools
    Comes with built-in debugging tools which aid in identifying and resolving coding errors more efficiently.

Possible disadvantages of CodeRunner

  • Limited Advanced Tools
    While it covers basics well, CodeRunner might lack some of the advanced tools and plugins available in more comprehensive IDEs.
  • MacOS Exclusive
    CodeRunner is only available for MacOS, which limits its accessibility for users on other operating systems like Windows or Linux.
  • Not Free
    The application is not free, requiring a purchase, which might be a barrier for some users considering it alongside free alternatives.
  • Less Community Support
    Due to its smaller user base compared to popular IDEs like Visual Studio Code, community support and plugins might be more limited.

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.

CodeRunner videos

CGRundertow CODERUNNER for iPhone Video Game Review

More videos:

  • Review - CodeRunner - Review & Preview [Mac OS X Mavericks]
  • Review - Best Mac Developer Tool 2016 - CodeRunner 2 (Review)

Jupyter videos

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 CodeRunner and Jupyter)
Text Editors
100 100%
0% 0
Data Science And Machine Learning
IDE
100 100%
0% 0
Data Dashboard
0 0%
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 CodeRunner and Jupyter

CodeRunner Reviews

Top 10 Notepad++ Alternatives for Mac in 2022
Here we have discussed more Notedpad++ Mac alternatives. We discussed that it is actually not available on Mac. However, we have discussed different alternatives you can choose with your computer. These include Atom, Sunset Code, Brackets, BBEdit, SlickEdit, Komodo IDE, Coderunner, and Coda, among others. All of these have their own limitations, capabilities, and features,...
Source: www.imymac.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.
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.

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than CodeRunner. While we know about 216 links to Jupyter, we've tracked only 4 mentions of CodeRunner. 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.

CodeRunner mentions (4)

  • Simple compile and run?
    Https://coderunnerapp.com is a good lightweight alternative if you want to try out snippets of Swift code. Source: over 3 years ago
  • Xcode users how can I disable this blue line?
    BTW, if you're just start learning C++, get CodeRunner. Xcode is for project development, not a good learning tool. Source: over 3 years ago
  • Best IDE for C++ on M1 Mac
    I'm going to presage this by saying that if what you want from an IDE is that you can open a tab, tap in some C++, add some breakpoints if necessary and hit run, and if you're willing to spend $20, then I highly recommend CodeRunner. You can also set it up to invoke whatever you want to invoke for building, allowing you to use it as a full project-management IDE, but I usually don't bother with that. But it's... Source: almost 4 years ago
  • Your Username Story
    Mine is simple, probably wont win but I made this my username cause I like code, conuidentley coderunner is a program editor for macOS. Source: about 4 years ago

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 1 month 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
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What are some alternatives?

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

VS Code - Build and debug modern web and cloud applications, by Microsoft

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.

SlickEdit - SlickEdit is a cross-platform, multi-language source code editor text editor that allows programmers to developer in over 40 languages on seven platforms.

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

Light Table - Light Table is a new interactive IDE that lets you modify running programs and embed anything from...

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