Software Alternatives, Accelerators & Startups

Hiew VS iPython

Compare Hiew VS iPython and see what are their differences

Hiew logo Hiew

Hiew (short for Hackers view) is a popular console hex editor for DOS and Windows written by Eugene...

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • Hiew Landing page
    Landing page //
    2023-02-09
  • iPython Landing page
    Landing page //
    2021-10-07

Hiew features and specs

  • Powerful Hex Editing
    Hiew provides users with advanced binary and hex editing capabilities, which are essential for programmers and reverse engineers needing to modify executable files directly at the binary level.
  • Disassembler and Assembler Functionality
    It includes disassembler and assembler support, allowing users to view and modify assembly code. This can be crucial for debugging and analyzing software behavior.
  • File Format Support
    Hiew supports a variety of file formats, including PE, ELF, and more, making it versatile for users dealing with different executables across platforms.
  • Lightweight Application
    The software is known for being lightweight and fast, providing quick and responsive editing capabilities without consuming significant system resources.

Possible disadvantages of Hiew

  • User Interface Complexity
    The user interface can be quite complex and non-intuitive for beginners, requiring a steep learning curve to effectively utilize its features.
  • Lack of Advanced Debugging Tools
    Hiew lacks some of the advanced debugging features found in more comprehensive reverse engineering tools, making it less ideal for extensive debugging tasks.
  • Limited to Windows
    The tool primarily runs on Windows, limiting its availability to users who operate on other platforms like macOS or Linux without additional compatibility layers.
  • No Graphical Interface
    As a console-based application, it does not offer a graphical interface, which might hinder usability for users who prefer visual representations of data.

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.

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

Hiew videos

My Magic Review of Perfect Sense by Daniel Hiew

iPython videos

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Category Popularity

0-100% (relative to Hiew and iPython)
IDE
58 58%
42% 42
Text Editors
30 30%
70% 70
Tool
100 100%
0% 0
Python IDE
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 Hiew and iPython

Hiew Reviews

Reverse engineering tools review
Thanks to HIEW, we are able not only to edit binary file data but if that is an application, also its code. Built-in disassembler allows for navigation over the code and its functions as well as to easily modify existing instructions with the help of built-in assembler, which means that you don't have to know hex codes by heart. Instead, it is enough to write e.g. mov...
Source: www.pelock.com

iPython Reviews

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

Based on our record, iPython seems to be more popular. It has been mentiond 20 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.

Hiew mentions (0)

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

iPython mentions (20)

  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโ€™m currently in the process of getting my โ€œnewโ€ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโ€™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 years 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 3 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 / over 3 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 3 years ago
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What are some alternatives?

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

IDA - The best-of-breed binary code analysis tool, an indispensable item in the toolbox of world-class software analysts, reverse engineers, malware analyst and cybersecurity professionals.

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.

Okteta - Okteta is a simple editor for the raw data of files.

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

Hex Workshop - Hex Workshop: Hex Editor, Sector Editor, Base Converter and Hex Calculator for Windows

Spyder - The Scientific Python Development Environment