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htop VS iPython

Compare htop VS iPython and see what are their differences

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htop logo htop

htop - an interactive process viewer for Unix. This is htop, an interactive process viewer for Unix systems. It is a text-mode application (for console or X terminals) and requires ncurses. Latest release: htop 2.

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • htop Landing page
    Landing page //
    2021-09-20
  • iPython Landing page
    Landing page //
    2021-10-07

htop features and specs

  • User-friendly Interface
    htop features a colorful, visually appealing interface that displays system processes in a tree structure, which makes it easier to understand process hierarchies and relationships.
  • Interactive Process Management
    You can easily manage processes in htop by using keyboard shortcuts to kill, renice, or trace processes without needing to type out commands.
  • Customizable Display
    htop allows users to customize which metrics are displayed and in what order, enabling more efficient monitoring tailored to individual needs.
  • Resource Usage Meters
    It provides live updating meters and histograms for CPU, memory, and swap usage, offering a quick overview of system performance.
  • Process Filtering and Sorting
    htop includes advanced filtering and sorting options that make it easy to find specific processes or sort them by criteria like CPU usage, memory usage, or user.
  • Cross-Platform Compatibility
    htop is compatible with a variety of Unix-like systems including Linux, FreeBSD, OpenBSD, and macOS, making it versatile for use in different environments.

Possible disadvantages of htop

  • Resource Consumption
    Because htop provides live updates and a rich graphical interface, it consumes more system resources compared to simpler tools like top.
  • Limited Remote Monitoring
    htop does not natively support remote monitoring of systems, which can make it less useful in distributed or cloud environments without additional tools or configurations.
  • Learning Curve for Advanced Features
    While the basic interface is intuitive, mastering htop's advanced features and customizations may require additional learning and familiarity.
  • No Built-in Logging
    htop does not have functionality for logging or saving historical data, which can limit its usefulness for performance tracking over time without third-party tools.
  • Dependency on Terminal
    As a terminal-based application, htop requires a terminal to run, which might not be ideal for users who prefer GUI-based monitoring tools.
  • Lack of Detailed Metrics
    htop provides an overview of system performance but does not offer the granularity of metrics provided by specialized monitoring tools dedicated to in-depth analysis.

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 htop

Overall verdict

  • Yes, htop is considered a good tool. It improves upon the functionality of the standard top command by providing a more intuitive interface and additional features that enhance usability and efficiency in system monitoring.

Why this product is good

  • Htop is an interactive process viewer for Unix systems, offering an enhanced, user-friendly alternative to the traditional top command. It provides a visually appealing interface that allows users to easily monitor system processes, resource usage, and performance in real-time. Features like tree view for process hierarchies, customizable meters, and the ability to manage processes make it a popular tool among system administrators and power users.

Recommended for

  • System administrators
  • Linux and Unix users
  • IT professionals
  • Developers interested in system performance
  • Servers monitoring

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

htop videos

Htop Review Video

More videos:

  • Review - HTOP Hotel DO's and DONT's || REVIEW #2
  • Review - Htop - Terminal-Based Interactive Process Viewing Program

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 htop and iPython)
Command Line Tools
100 100%
0% 0
Text Editors
0 0%
100% 100
Monitoring Tools
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 htop and iPython

htop Reviews

Best Linux Network Monitoring Tools for 2020
At this point in the list, weโ€™re starting to review less-complex programs to monitor small-network use with accuracy and reliability. Htop (the H stands for the designerโ€™s name, Hisham) doesnโ€™t contain graphical analysis software, but it provides a flexible monitoring program that can be installed on Linux as well as Unix-based systems. Htop might not be the most visually...

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.

htop mentions (0)

We have not tracked any mentions of htop yet. Tracking of htop 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: over 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 htop and iPython, you can also consider the following products

Process Explorer - The top window always shows a list of the currently active processes, including the names of their owning accounts, whereas the information displayed in the bottom window depends on the mode that Process Explorer is in: if it is in handle mode you'lโ€ฆ

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.

glances system monitoring - Glances is a cross-platform system monitoring tool written in Python. Written in Python, Glances will run on almost any plaftorm : GNU/Linux, FreeBSD, OS X and Windows.

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

SystemExplorer - Homepage of System Explorer. Freeware Tool for displaying and managing system internals

Spyder - The Scientific Python Development Environment