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htop VS Plotly

Compare htop VS Plotly and see what are their differences

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NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. sponsored
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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.

Plotly logo Plotly

Low-Code Data Apps
  • htop Landing page
    Landing page //
    2021-09-20
  • Plotly Landing page
    Landing page //
    2023-07-31

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.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

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 Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

htop videos

+ Add

Htop Review Video

More videos:

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

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to htop and Plotly)

htop

Plotly

Command Line Tools
100 100%
Command Line Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Plotly

htop Reviews

Best Linux Network Monitoring Tools for 2020
At this point in the list, we’re starting to review less-complex programs to monitor small-network use with accuracy and reliability. Htop (the H stands for the designer’s name, Hisham) doesn’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...
Source: www.dnsstuff.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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What are some alternatives?

When comparing htop and Plotly, 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'l…

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Process Lasso - Process Lasso is NOT yet another task manager.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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