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Plotly VS dwm

Compare Plotly VS dwm 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

dwm logo 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.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • dwm Landing page
    Landing page //
    2021-09-12

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.

dwm features and specs

  • Lightweight
    dwm is extremely lightweight, resulting in minimal use of system resources. It is designed to have no unnecessary bloat, making it suitable for older hardware or low-spec systems.
  • Customizable
    dwm is highly customizable, with the configuration being done through editing the C source code. This allows for deep customization to meet specific user preferences.
  • Simplicity
    The software is designed with simplicity in mind. It has a straightforward design and a gentle learning curve for users familiar with tiling window managers.
  • Tiling Window Management
    dwm automatically arranges windows in a tiling format, which can help improve productivity by making better use of screen real estate and reducing the need to manually arrange windows.
  • Community Support
    A robust community following and good documentation provide ample support for troubleshooting and extending dwm. Many patches and tips are shared among users.

Possible disadvantages of dwm

  • Steep Initial Learning Curve
    For users not familiar with tiling window managers or who are used to traditional desktop environments, the initial setup and usage might be challenging.
  • Manual Compilation for Configuration
    Configuration changes require editing the source code and recompiling the window manager. This can be inconvenient for users who prefer a dynamic configuration option.
  • Limited Out-of-the-Box Functionality
    dwm does not come with many features available in other window managers by default. Users might need to apply patches or write custom scripts to get additional functionality.
  • Fewer Graphical Tools
    Since dwm focuses on simplicity and minimalism, it lacks graphical configuration tools, which might deter non-technical users or those who prefer GUI-based management.
  • Compatibility
    Some applications may not play well with dwm's tiling mechanism, requiring additional configuration or even the use of floating mode for specific apps.

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 dwm

Overall verdict

  • dwm is considered a good choice for users who value performance, simplicity, and customizability. However, it might not be suitable for everyone due to its steep learning curve and the requirement to modify its source code for customization.

Why this product is good

  • dwm (dynamic window manager) is known for its minimalistic design and efficient use of system resources. It is highly customizable through its source code, allowing users to tailor it to their needs. Being a product of the suckless community, it adheres to simplicity and clarity in its design philosophy, making it a favorite among users who prefer a no-frills, elegant solution to window management.

Recommended for

    dwm is recommended for advanced users, programmers, and those who enjoy configuring software from the ground up. It's suitable for people who appreciate minimalism and have experience or a willingness to delve into coding and patching to achieve their desired setup.

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

dwm videos

+ Add

dwm (suckless) - why I prefer it to i3 [ricing FreeBSD & OpenBSD]

More videos:

  • Review - Super MINIMALIST tiling window manager - dwm
  • Review - Suckless's dwm: So easy even a caveman could do it!

Category Popularity

0-100% (relative to Plotly and dwm)

Plotly

dwm

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

User comments

Share your experience with using Plotly and dwm. 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 dwm

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

dwm Reviews

Top 13 Best Tiling Window Managers For Linux In 2022
Spectrwm is a fast, compact, and brief reparenting and tiling window manager for X11 that is inspired by xmonad and dwm. It was created to address the problems that xmonad and dwm have. Also check Fulfillify alternatives
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
DWM is, well, a dynamic window manager. Tiling isnโ€™t the only way you can manage your windows. Itโ€™s also possible to lay the windows out in a floating or monocle style. All modifications to DWM can be done within its source code. Easy keyboard shortcuts allow for a great navigation experience while managing windows.
Source: www.maketecheasier.com

Social recommendations and mentions

Based on our record, dwm should be more popular than Plotly. It has been mentiond 69 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

dwm mentions (69)

  • Why I traded my custom "Opinionated Linux" for Omarchy
    Caffeine.wiki/x220, where Rodrigo Franco (caffo) tuned Arch + dwm on a Thinkpad X220 for a cheap, durable and low-profile machine he could use anywhere (sketchy coffee shops included). - Source: dev.to / 2 months ago
  • The struggle of resizing windows on macOS Tahoe
    I can't remember the last time I resized a window. Does everyone not already install Magnet or an alternative first-thing to emulate the impeccable DWM? https://dwm.suckless.org/. - Source: Hacker News / 6 months ago
  • The Future Is Niri
    Hm, I am using [dwm](https://dwm.suckless.org/) with a custom keybinding to shift to the left or right workspace. That seems similar enough, other than the fact that changing the split ratio will affect all workspaces on dwm while on Niri it most likely will not ... - Source: Hacker News / over 1 year ago
  • Shifted 3 Shapes โ€“ Making a w3M Logo
    I associate this style with the suckless foundation, even though it is distinct from e.g. The dwm logo. https://dwm.suckless.org/. - Source: Hacker News / over 1 year ago
  • AT&T says criminals stole phone records of 'nearly all' customers in data breach
    Https://dwm.suckless.org/ > This keeps its userbase small and elitist.. - Source: Hacker News / almost 2 years ago
View more

What are some alternatives?

When comparing Plotly and dwm, 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.

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

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

Xmonad - xmonad is a dynamically tiling X11 window manager that is written and configured in Haskell.

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.

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

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