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Fluxbox VS Plotly

Compare Fluxbox VS Plotly and see what are their differences

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

Fluxbox logo Fluxbox

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

Plotly logo Plotly

Low-Code Data Apps
  • Fluxbox Landing page
    Landing page //
    2021-09-18
  • Plotly Landing page
    Landing page //
    2023-07-31

Fluxbox features and specs

  • Lightweight
    Fluxbox is a minimalist window manager that uses very little system resources, making it ideal for older or less powerful hardware.
  • Customization
    Offers extensive customization options, allowing users to tailor the desktop environment to their preferences with themes, styles, and configurable keyboard shortcuts.
  • Speed
    Due to its minimalist design, Fluxbox is very fast and responsive, providing a smooth user experience.
  • Stability
    Fluxbox is known for its stability and reliability, with fewer crashes or performance issues compared to more feature-rich desktop environments.
  • Low Dependencies
    Requires fewer dependencies compared to full-fledged desktop environments, simplifying the installation and maintenance process.
  • Scriptability
    Highly scriptable using shell scripting, providing advanced users with powerful tools to automate and configure their environment.
  • Multiple Desktops
    Supports multiple desktop configurations, allowing users to organize their workspace more efficiently.

Possible disadvantages of Fluxbox

  • Learning Curve
    The minimalist design may be difficult for new users to learn and configure effectively, especially those used to more feature-rich desktop environments.
  • Limited Features
    Lacks many built-in features and utilities that are standard in other desktop environments, requiring users to manually install additional software.
  • Aesthetic
    May not be as visually appealing out-of-the-box compared to other desktop environments, requiring more effort to achieve a polished look.
  • Community Support
    Smaller user community compared to larger desktop environments, potentially making it harder to find help and resources.
  • Compatibility
    Some applications designed for more comprehensive desktop environments may not integrate smoothly with Fluxbox, requiring additional tweaks.
  • Advanced Configuration
    Requires editing text files for certain configurations, which can be intimidating and inconvenient for users who prefer graphical configuration tools.

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 Fluxbox

Overall verdict

  • Fluxbox is generally well-regarded among users who prioritize performance and customization over extensive features found in more comprehensive desktop environments. It is particularly appreciated by Linux enthusiasts and those who enjoy tweaking their interfaces to suit personal preferences. However, newcomers to Linux or those who prefer a more out-of-the-box, feature-rich environment might find Fluxbox's initial setup and configuration process challenging.

Why this product is good

  • Fluxbox is a lightweight window manager for the X Window System, known for its speed and simplicity. It is highly customizable, allowing users to modify the look and feel extensively through configuration files. This makes it an attractive choice for users who prefer a minimalist and resource-efficient desktop environment. Its low memory footprint and fast performance are particularly useful for older hardware or systems where resource usage needs to be minimized. Additionally, Fluxbox provides robust window management features, such as tabbed windows and virtual desktops, which can enhance productivity.

Recommended for

  • Users with older or resource-limited hardware.
  • Enthusiasts who enjoy customizing their desktop environment.
  • Linux users looking for a fast and minimalistic window manager.
  • Advanced users comfortable with manual configuration.

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.

Fluxbox videos

+ Add

Openbox, Fluxbox or JWM which one do you like?

More videos:

  • Review - Salix OS 13.1.2 Fluxbox Review - Linux Distro Reviews
  • Review - Manjaro's New Fluxbox 15.10 Review

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 Fluxbox and Plotly)

Fluxbox

Plotly

Linux
100 100%
Linux
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Window Manager
100 100%
Window Manager
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 Fluxbox and Plotly

Fluxbox Reviews

We have no reviews of Fluxbox yet.
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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

Social recommendations and mentions

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

Fluxbox mentions (8)

  • Omarcacca
    In 2008 I started using a netbook, an ASUS Eee PC and since RAM was scarse I had to find a better way to provide myself access to tools, so I discovered and fell in love with fluxbox. - Source: dev.to / 6 months ago
  • A Love Letter to FreeBSD
    > My journey with FreeBSD began with version 4.5 or 4.6, running in VMware on Windows and using XDMCP for the desktop. It was super fast and ran at almost native speed. Wow, this brings back some memories. I remember being on a gig which mandated locked-down Windows laptops, but VMWare was authorized. So I fired up FreeBSD inside VMWare running X with fluxbox[0] as the window manager. Even with multiple rxvt... - Source: Hacker News / 7 months ago
  • I Still Use Windows 95 (archived, 2008)
    I have been using fluxbox[1] for many years now, happily. It's a very barebones thing (in a good way) while also being highly configurable โ€” customizable keyboard shortcuts, menus, scriptability, etc. It is not a tiling WM. It also doesn't have desktop icons by default. I thought I would miss those, but have found I do not. There are options[2] to add that if you want it. So, my setup is ~8 virtual... - Source: Hacker News / about 3 years ago
  • I'm so undecided about desktop environments, which one should I choose and why are you recommending it? I need a stable, customizable one.
    If you want to customize in detail your desktop and are not afraid to edit text files, awesome and fluxbox can be your option. Source: over 3 years ago
  • What's the good window manager for a beginner?
    As far as wms go, I always liked fluxbox and xmonad. Openbox has its fans, and i3 is very popular. I prefer a de over a wm but I know a lot of people use i3. Source: over 4 years ago
View more

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

What are some alternatives?

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

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

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.

IceWM - icewm home page . Bug Tracking. If you have a patch, a bug report or a feature request to submit, please do so at the icewm project page at SourceForge.

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.

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