Software Alternatives, Accelerators & Startups

iPython VS StackHive

Compare iPython VS StackHive and see what are their differences

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.

StackHive logo StackHive

Design, develop or publish websites right from your browser
  • iPython Landing page
    Landing page //
    2021-10-07
  • StackHive Landing page
    Landing page //
    2023-02-09

iPython features and specs

  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages of iPython

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

StackHive features and specs

  • User-Friendly Interface
    StackHive offers a drag-and-drop interface that makes it easy for users, including those with little coding experience, to design websites quickly.
  • Responsive Design
    The platform allows users to create responsive websites that work well on various devices, which is crucial for modern web development.
  • Time-Saving Features
    With pre-built components and templates, StackHive helps users speed up the web design process, reducing time spent on repetitive tasks.
  • Integration with Popular Tools
    StackHive integrates with popular web development tools and platforms, enhancing its usability and flexibility for developers.
  • Real-time Preview
    The platform enables users to see changes in real-time, providing instant feedback and reducing the cycle of design and testing.

Possible disadvantages of StackHive

  • Limited Customization
    For advanced users who need full control over their code, StackHive may offer limited customization options compared to coding manually.
  • Learning Curve
    While designed to be user-friendly, there may still be a learning curve for complete beginners unfamiliar with web design concepts.
  • Dependency on Platform
    Using StackHive may create dependency on the platform for future website updates, which could be a concern if the service changes or discontinues.
  • Potential for Overhead
    Generated code might include unnecessary elements leading to bloated files, which can affect website performance and load times.
  • Cost Implications
    While it offers powerful tools, users need to consider any associated costs with using the platform, as it might not be attainable for all budgets.

Analysis of iPython

Overall verdict

  • Yes, iPython is highly regarded for its flexibility, powerful features, and ability to enhance productivity in data analysis and scientific computing. It serves as an integral tool for many professionals in technical fields.

Why this product is good

  • iPython, which forms the backbone of the Jupyter ecosystem, is favored for its interactive capabilities, integration with various data science libraries, and support for visualizations. It allows seamless execution of code in a web-based environment, making it highly effective for experiments, rapid prototyping, and sharing insights.

Recommended for

  • Data Scientists
  • Researchers
  • Educators
  • Software Developers
  • Anyone interested in interactive and exploratory computing

iPython videos

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

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StackHive videos

StackHive Tutorial | Creating and Manipulating Grid Structures

Category Popularity

0-100% (relative to iPython and StackHive)
Python IDE
100 100%
0% 0
Text Editors
59 59%
41% 41
IDE
64 64%
36% 36
Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, iPython seems to be more popular. It has been mentiond 19 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.

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 1 year 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 2 years 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 / about 2 years 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 2 years 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 2 years ago
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StackHive mentions (0)

We have not tracked any mentions of StackHive yet. Tracking of StackHive recommendations started around Mar 2021.

What are some alternatives?

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

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

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

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.

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

CodeTasty - CodeTasty is a programming platform for developers in the cloud.