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GitHub Codespaces VS iPython

Compare GitHub Codespaces VS iPython and see what are their differences

GitHub Codespaces logo GitHub Codespaces

GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • GitHub Codespaces Landing page
    Landing page //
    2023-09-01
  • iPython Landing page
    Landing page //
    2021-10-07

GitHub Codespaces videos

Brief introduction of GitHub Codespaces

More videos:

  • Review - GitHub Codespaces First Look - 5 things to look for

iPython videos

No iPython videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GitHub Codespaces and iPython)
Text Editors
80 80%
20% 20
IDE
71 71%
29% 29
Python IDE
0 0%
100% 100
Programming
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GitHub Codespaces and iPython

GitHub Codespaces Reviews

12 Best Online IDE and Code Editors to Develop Web Applications
Beginners who want to try their luck can use GitHub Codespaces for free with limited benefits, but you will have enough features to carry on. If you are a team or an enterprise, you can start using GitHub Codespaces at $40/user/year.
Source: geekflare.com

iPython Reviews

We have no reviews of iPython yet.
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Social recommendations and mentions

Based on our record, GitHub Codespaces should be more popular than iPython. It has been mentiond 143 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.

GitHub Codespaces mentions (143)

  • From Text Editors to Cloud-based IDEs - a DevEx journey
    Then, we had the rise of the cloud and the arrival of cloud-based IDEs. The first cloud-based IDE was PHPanywhere (eventually becoming CodeAnywhere) in 2009, followed by Cloud9 in 2010 (before AWS bought it in 2016), Glitch (2018), GitPod (2019), GitHub Codespaces (2020), and Google’s Project IDX (2024). - Source: dev.to / 24 days ago
  • Mastering Code Quality: Setting Up ESLint with Standard JS in TypeScript Projects
    If your team is using a Cloud Development Environment such as GitHub Codespaces, or Dev Containers such as Docker, you can even share the installation of dbaeumer.vscode-eslint with your teammates, via devcontainer.json. - Source: dev.to / about 2 months ago
  • Coding on tab s9 ultra
    Https://github.com/features/codespaces Currently, it is probably the most convenient for coding on mobile devices. Source: 7 months ago
  • Learning Angular
    I am currently right now viewing Angular Essential Training (paid by my company but I have a personal Pluralsight) and using GitHub Codespaces for $4 a month to host the virtuals created for such coding/learning. Source: 7 months ago
  • Amazon CodeCatalyst - Is it ready for the enterprise?
    I’m very interested in recent advancements in cloud-hosted development environments. GitHub Codespaces is the option I have the most experience with and the one I use more generally. With cloud-hosted development environments, your local machine becomes more of a thin client that facilitates access to the internet and the development environment. That is a considerable step toward enabling better education in... - Source: dev.to / 7 months ago
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iPython mentions (19)

  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 months ago
  • Wanting to learn how to code, but completely lost.
    Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: about 1 year ago
  • IJulia: The Julia Notebook
    IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 1 year ago
  • How to "end" a loop in the REPL?
    Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 1 year ago
  • State of Object Oriented Shells for *nix
    I know this isn't quite what you're asking for, but IPython (https://ipython.org/) is very capable as a Python + bash (or other) shell, as it allows you to easily integrate the system shell into the interactive environment. Although they now recommend Xonsh (https://xon.sh/) for such purposes. Source: over 1 year ago
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What are some alternatives?

When comparing GitHub Codespaces and iPython, you can also consider the following products

replit - Code, create, andlearn together. Use our free, collaborative, in-browser IDE to code in 50+ languages — without spending a second on setup.

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.

CloudShell - Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

StackBlitz - Online VS Code Editor for Angular and React

IDLE - Default IDE which come installed with the Python programming language.