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Plotly VS Xmonad

Compare Plotly VS Xmonad and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

Xmonad logo Xmonad

xmonad is a dynamically tiling X11 window manager that is written and configured in Haskell.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Xmonad Landing page
    Landing page //
    2022-04-01

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.

Xmonad features and specs

  • Highly Customizable
    Xmonad is written in Haskell and allows for extensive customization. Users can write custom configurations and extensions to tailor the window manager to their exact needs.
  • Efficient and Minimalist
    Xmonad is designed to be efficient and lightweight. It uses minimal system resources, making it ideal for older hardware or systems where performance is a priority.
  • Keyboard-Centric
    Xmonad is optimized for keyboard operation, providing a highly efficient and fast way to manage windows without relying on a mouse, which can improve productivity.
  • Tiling Window Manager
    As a tiling window manager, Xmonad automatically arranges windows to use screen space efficiently, reducing the need to manually resize and position windows.
  • Stable and Reliable
    Xmonad is known for its stability and reliability, with a strong track record of stable releases and robust performance.

Possible disadvantages of Xmonad

  • Steep Learning Curve
    New users may find Xmonad difficult to learn due to its reliance on Haskell for customization and a lack of graphical configuration tools.
  • Limited Out-of-the-Box Functionality
    Xmonad comes with a very basic setup by default, requiring significant configuration and customization to fully utilize its capabilities.
  • Haskell Knowledge Required
    Customization of Xmonad requires knowledge of Haskell, which can be a barrier for users unfamiliar with the language.
  • Sparse Community and Documentation
    Compared to more popular window managers, Xmonad has a smaller community and less extensive documentation, which can make troubleshooting and learning more challenging.
  • Not Newbie-Friendly
    Xmonad is not the most user-friendly option for beginners. Its lack of GUI tools and reliance on command-line configuration can be intimidating for new users.

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.

Analysis of Xmonad

Overall verdict

  • Xmonad is highly regarded within the Linux and BSD communities, especially among users who prefer or don't mind configuring their environments through coding. It is considered a reliable tool for those who value efficiency and are comfortable with or interested in writing Haskell code for customization. While it has a steep learning curve due to the necessity of understanding Haskell for complex configurations, its performance and flexibility make it a strong choice for the right user.

Why this product is good

  • Xmonad is a dynamically tiling window manager written in Haskell, known for its minimalism, stability, and high customization options. It efficiently manages windows and is ideal for keyboard-driven workflows. Users appreciate its lightweight nature and ability to extend its functionality through Haskell scripts. Being a tiling window manager, it automatically organizes windows to make the best use of screen space, which can significantly enhance productivity for power users.

Recommended for

  • Developers and programmers who appreciate Haskell or are interested in learning more about it.
  • Linux or BSD users seeking a highly customizable and efficient window manager.
  • Power users who prefer or are comfortable with keyboard-driven interfaces and have the willingness to spend time configuring their setup.
  • Users who value system performance and resource efficiency, as Xmonad uses minimal system resources.

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

Xmonad videos

+ Add

Xmonad Review

More videos:

  • Review - Hacking on Xmonad - GridSelect, ToggleStruts, ToggleBorders
  • Review - Obscure Window Manager Project - Xmonad

Category Popularity

0-100% (relative to Plotly and Xmonad)

Plotly

Xmonad

Data Visualization
100 100%
Data Visualization
0% 0
Window Manager
0 0%
Window Manager
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Linux
0 0%
Linux
100% 100

User comments

Share your experience with using Plotly and Xmonad. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and Xmonad

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 thatโ€™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

Xmonad Reviews

Top 13 Best Tiling Window Managers For Linux In 2022
XMonad is a dynamic tiling X11 window manager that allows you to automate window finding and alignment. It may be customised with its own extension library, which includes choices for status bars and window decorations. Itโ€™s also simple to set up, stable, and minimal.
Source: www.hubtech.org
13 Best Tiling Window Managers for Linux
spectrwm is a small, dynamic, xmonad, and dwm-inspired reparenting and tiling window manager built for X11 to be fast, compact, and concise. It was created with the aim of solving the issues of xmonad and dwm face.
Source: www.tecmint.com
5 Great Tiling Window Managers for Linux
Xmonad is a tiling window manager written in Haskell. Like most (if not all) window managers, it comes with no frills or window decorations. The keyboard shortcuts are top notch. It works out-of-the-box and is very user friendly. On top of all that, Xmonad sports a fairly big extension library (which can add on even more functionality).
Source: www.maketecheasier.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Xmonad. 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.

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 / 4 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!๐Ÿค“
    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 / over 1 year 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
View more

Xmonad mentions (15)

  • Rubywm: An X11 window manager in pure Ruby
    If you want tiling, but i3 requires too much manual work, you might like the more managed layouts that are the default in XMonad: https://xmonad.org/ XMonad works fine with multiple monitors. Each monitor displays one of the many virtual desktops. The normal keys for desktops and for windows work pretty intuitively with multiple monitors. - Source: Hacker News / over 1 year ago
  • [Media] shrs: a shell that is configurable and extensible in rust
    Hey everyone ๐Ÿ‘‹ ! I'm currently working on a rust library for building and configuring your own shell! It's inspired by projects like xmonad and penrose where the configuration of the program is done in code. This means that for example, instead of using Bash's arcane syntax for configuring the prompt, it can be configured instead using a rust builder pattern! The project itself is still at a very young stage, so... Source: about 3 years ago
  • What LaTeX setup do you use?
    There are a few other things I could mention, but there are more like side issues, and not relevant to my actual LaTeX setup. First and foremostโ€”and thus perhaps noteworthy after allโ€”is bibliography management with arxiv-citation (see here for more words). This is integrated very well with the XMonad window manager, which makes it even more of a joy to use. Source: over 3 years ago
  • How to map arrows keys to CapsLock+(h,i,j,k) shortcuts in i3
    Another way to do it (and works on Linux and other platforms) is with XMonad, defining Caps Lock as a layer key. Source: almost 4 years ago
  • Can ISTP like abstract things and theories?
    I tried it once, it was alright. https://xmonad.org/ But I prefer to build my own. Source: almost 4 years ago
View more

What are some alternatives?

When comparing Plotly and Xmonad, you can also consider the following products

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.

dwm - dwm is a dynamic window manager for X. It manages windows in tiled, monocle and floating layouts. All of the layouts can be applied dynamically, optimising the environment for the application in use and the task performed.

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

i3 - A dynamic tiling window manager designed for X11, inspired by wmii, and written in C.

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.

awesome - A dynamic window manager for the X Window System developed in the C and Lua programming languages.

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