Software Alternatives, Accelerators & Startups

Openbox VS Plotly

Compare Openbox VS Plotly and see what are their differences

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Openbox logo Openbox

Openbox is a highly configurable, next generation window manager with extensive standards support.

Plotly logo Plotly

Low-Code Data Apps
  • Openbox Landing page
    Landing page //
    2023-09-06
  • Plotly Landing page
    Landing page //
    2023-07-31

Openbox features and specs

  • Lightweight
    Openbox is a highly efficient window manager that requires minimal system resources, making it an excellent choice for older hardware or systems with limited resources.
  • Customizable
    Openbox offers extensive customization options, allowing users to tailor the look and feel of their desktop environment to their specific preferences.
  • Fast Performance
    Due to its lightweight nature, Openbox provides fast and responsive performance, resulting in quicker application launches and smoother overall desktop experience.
  • Comprehensive Keybindings
    Openbox supports complex keybindings, enabling power users to create efficient workflow setups through keyboard shortcuts.
  • Extensible
    Openbox can work seamlessly with other tools and additional software, allowing users to extend its capabilities with tools like panels, widgets, and additional plugins.

Possible disadvantages of Openbox

  • Steep Learning Curve
    Openbox requires a more hands-on approach and can be challenging for beginners to set up and configure due to its extensive customization options.
  • Limited Out-of-the-box Features
    Unlike full desktop environments, Openbox does not come with many built-in features, requiring users to install and configure additional software to achieve a fully functional desktop.
  • No Desktop Icons by Default
    Openbox does not support desktop icons natively, so users need to rely on additional tools like 'xfdesktop' or 'pcmanfm' to add this functionality.
  • Minimalistic Appearance
    While some users appreciate the minimalistic look, others might find it too bare-bones compared to more feature-rich environments like GNOME or KDE.
  • Manual Configuration
    Most customizations in Openbox require editing configuration files manually, which can be time-consuming and error-prone for users unfamiliar with text-based configurations.

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 Openbox

Overall verdict

  • Openbox is a great choice for users seeking a lightweight and highly customizable window management solution. Its performance benefits on lower-end hardware and flexibility make it a valuable tool for power users and enthusiasts alike.

Why this product is good

  • Openbox is a highly configurable and lightweight window manager for the X Window System. It's known for its speed and simplicity, allowing users to control their desktop environment efficiently. It provides a blank canvas for users wanting to customize their workspace, making it ideal for those who prefer a minimalist setup or have limited system resources. The configuration is done through plain text files, offering flexibility for advanced users who wish to personalize their user experience meticulously.

Recommended for

  • Advanced users looking for customization options
  • Users with older or less powerful hardware
  • Minimalists who prefer a robust yet simplistic interface
  • Linux enthusiasts who enjoy configuring their desktop environment
  • Developers and programmers who want a distraction-free workspace

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.

Openbox videos

Get Rid Of That Bloated Desktop Environment And Install Openbox

More videos:

  • Review - Manjaro Openbox: First Impressions and Review
  • Tutorial - Openbox V8S Review- How to get Free TV!!!
  • Review - Open Box Review (Bx8 M-Audio Speakers) #Openbox #SpeakerReview
  • Review - Openbox A1 - Review
  • Review - OPEN BOX - @ikmultimedia TONEX #fyp #opening #openbox #review #guitar

Plotly videos

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 Openbox and Plotly)
Linux
100 100%
0% 0
Data Visualization
0 0%
100% 100
Window Manager
100 100%
0% 0
Charting Libraries
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 Openbox and Plotly

Openbox Reviews

Top 10 Best Desktop Environments in 2020
People whoโ€™re deep into Linux, love Openboxโ€™s simplicity. Itโ€™s extremely lightweight, and comes with only a text-based right-click menu that lists all your applications. The menu is customizable too, and you can add scripts or functions within the menu as a link.

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.
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...
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.

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.

Openbox mentions (0)

We have not tracked any mentions of Openbox yet. Tracking of Openbox 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 / 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
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What are some alternatives?

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

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

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.

Fluxbox - Fluxbox is a window manager for X that was based on the Blackbox 0.61.1 code.

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

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

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.