Software Alternatives, Accelerators & Startups

Sway VS Plotly

Compare Sway VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Sway logo Sway

Sway is a drop-in replacement for the i3 window manager, but for Wayland instead of X11.

Plotly logo Plotly

Low-Code Data Apps
  • Sway Landing page
    Landing page //
    2023-03-20
  • Plotly Landing page
    Landing page //
    2023-07-31

Sway features and specs

  • Wayland Compatibility
    Sway is a compositor for Wayland, providing better performance and security compared to the X11 system.
  • i3 Compatibility
    Sway is designed to be compatible with i3 window manager configurations, making it easy for i3 users to transition.
  • Lightweight
    Sway is known for being lightweight and efficient, using fewer system resources compared to other compositors.
  • Customizability
    Similar to i3, Sway offers extensive customization options for users to tailor their environment.
  • Active Development
    Sway has an active development community, ensuring regular updates, bug fixes, and new features.
  • Enhances Security
    Being built on Wayland, Sway provides better isolation of processes, improving overall system security.

Possible disadvantages of Sway

  • Limited Application Support
    Some applications, especially older ones, may not be fully compatible with Wayland, causing issues when running on Sway.
  • Steeper Learning Curve
    New users, particularly those unfamiliar with i3, might find Sway's configuration and usage initially challenging.
  • Wayland Limitations
    Wayland, while improving, still lacks some features and extensions available in X11, which might affect some workflows.
  • Hardware Compatibility
    Wayland compositors like Sway can sometimes have issues with specific hardware, particularly older or less common configurations.
  • Fewer Tiling Window Manager Users
    The number of users preferring tiling window managers is smaller, potentially making it harder to find community support compared to more popular desktop environments.

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 Sway

Overall verdict

  • Sway is generally well-regarded in the Linux community, especially among users who appreciate the flexibility and speed of a tiling window manager. It effectively bridges the gap for those who want the i3 experience with Wayland's benefits.

Why this product is good

  • Sway is a tiling window manager that is known for its efficiency and customizability, and it is designed for use with Wayland. It offers a similar experience to the i3 window manager but for those who want to use Wayland. Sway allows users to completely configure their desktop environment and supports various i3-compatible configurations and scripts. It provides a fast, lightweight, and modern approach for users who prefer a tiling window management system.

Recommended for

  • Users who enjoy i3 and want to transition to Wayland.
  • Linux users seeking a lightweight and efficient window management experience.
  • Advanced users who appreciate configuration and scripting flexibility.
  • Those who prefer keyboard-centric navigation over a graphical interface.

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.

Sway videos

Sway beats Powerpoint for these 4 reasons (Microsoft Office 365).

More videos:

  • Review - VOD REVIEW: IS FAZE SWAY BEING COACHED ๐ŸŽฎ BY FAZE BIZZLE WORTH IT? (Full Game)
  • Review - Microsoft Sway Hands On Review!
  • Review - Sway by Mitchell Bubble
  • Tutorial - SWAY HOUSE TOUR FORTNITE

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 Sway and Plotly)
Health And Fitness
100 100%
0% 0
Data Visualization
0 0%
100% 100
Window Manager
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using Sway and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Sway Reviews

Top 13 Best Tiling Window Managers For Linux In 2022
Sway is a tiling Wayland i3-compatible window manager that dynamically arranges app windows to rationally maximise desktop space. It is free, open-source, and lightweight. By default, it arranges windows in a grid and supports practically all of the i3 commands.
Source: www.hubtech.org
13 Best Tiling Window Managers for Linux
Sway is a free, open-source, and lightweight tiling Wayland i3-compatible window manager that automatically arranges app windows to logically maximize desktop space. It arranges windows into a grid by default and supports almost all the commands included in i3.
Source: www.tecmint.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.
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, Sway should be more popular than Plotly. It has been mentiond 53 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.

Sway mentions (53)

  • Pomodoro Timer: Waybar and uair
    I am currently using uair integrated in to my Waybar running on my sway window manager. I use it similar to the way I use watson (both as a CLI tool with Waybar integrations), so it is a good fit for me. - Source: dev.to / almost 2 years ago
  • "We understand" ;)
    This is partially why I use tools like i3 (/ sway). I like the tool; it works extremely well for me; the design has stayed the same for 20 years; there's no profit motive to come along and fuck everything up. It just works. It is boring in the best way possible. Source: over 2 years ago
  • Framework 13 with AMD Ryzen 7040 Series Makes for a Great Linux Laptop
    I've tested using i3 but never fully got into it. But my plan for the F13 is to try out Hyprland[0] and perhaps Sway[1]. [0] https://hyprland.org/ [1] https://swaywm.org/. - Source: Hacker News / over 2 years ago
  • Rethinking Window Management in Gnome
    Sway does all those things very well: https://swaywm.org/. - Source: Hacker News / almost 3 years ago
  • Just ran Sway on openSUSE. Complete noob. I need help.
    Read the manual on https://swaywm.org/. There are tons of youtube videos showcasing basic configuration and usage. This is extremely basic stuff you need to do yourself. Source: about 3 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 Sway 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.

Pacifica - Stress and anxiety relief through beautiful CBT tools

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

Hyprland - Hyprland is a dynamic tiling Wayland compositor that doesn't sacrifice on its looks. - GitHub - vaxerski/Hyprland: Hyprland is a dynamic tiling Wayland compositor that doesn't sacrifice on ...

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.