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yabai VS Plotly

Compare yabai VS Plotly and see what are their differences

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yabai logo yabai

A tiling window manager for macOS based on binary space partitioning

Plotly logo Plotly

Low-Code Data Apps
  • yabai Landing page
    Landing page //
    2023-07-26
  • Plotly Landing page
    Landing page //
    2023-07-31

yabai features and specs

  • Efficient Window Management
    Yabai provides advanced tiling window management for macOS, greatly increasing productivity by allowing users to manage windows through keyboard shortcuts and layouts, minimizing the need for mouse interactions.
  • Highly Customizable
    The software offers extensive configuration options, enabling users to personalize their window management experience according to their specific workflow and preferences.
  • Open Source
    Being open source, Yabai is free to use and modify, allowing the community to contribute to its development and enhancement. This fosters a collaborative environment for improving the software.
  • Supports Scripting
    Yabai supports scripting through AppleScript or shell commands, enabling users to automate complex workflows and integrate Yabai with other tools and applications seamlessly.
  • Lightweight
    Yabai is designed to be a lightweight window manager, which means it consumes minimal system resources, ensuring that your Mac continues to run smoothly even with numerous active windows.

Possible disadvantages of yabai

  • Steep Learning Curve
    For beginners, the configuration and use of Yabai can be daunting, requiring a significant amount of time and effort to fully understand and utilize its capabilities effectively.
  • Requires SIP Disablement
    To utilize some of Yabai's more advanced features, users need to partially disable System Integrity Protection (SIP), which can reduce the overall security of the macOS system.
  • Potential Compatibility Issues
    As macOS updates and changes, compatibility issues may arise, potentially breaking functionality. Users may need to wait for updates from the developer community to resolve these issues.
  • Limited Official Support
    As an open-source project, Yabai does not come with official support channels. Users must rely on community forums and documentation, which may not always provide immediate or comprehensive assistance.
  • Complex Configurations
    Setting up Yabai to fit specific needs can be complex and time-consuming, especially for users who are not familiar with scripting or advanced configuration files.

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 yabai

Overall verdict

  • Yabai is highly regarded among users who seek advanced customization and control over their macOS window management. However, it may have a steep learning curve for those unfamiliar with tiling window managers or command-line tools.

Why this product is good

  • Yabai is a popular tiling window manager for macOS, designed to streamline and enhance window management through robust keyboard shortcuts and automation features. It is particularly appreciated for its flexibility and efficiency in organizing a large number of open applications, contributing to a more productive workflow.

Recommended for

  • Developers who need efficient multitasking tools.
  • Users comfortable with the command line who enjoy customizing their environment.
  • Power users looking to optimize their macOS user experience.

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.

yabai videos

+ Add

Yabai Demonstration

More videos:

  • Demo - yabai macOS Tiling Window Manager Demonstration

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 yabai and Plotly)

yabai

Plotly

Window Manager
100 100%
Window Manager
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
OSX Tools
100 100%
OSX Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
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 yabai and Plotly

yabai Reviews

We have no reviews of yabai yet.
Be the first one to post

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 that’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, yabai should be more popular than Plotly. It has been mentiond 133 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.

yabai mentions (133)

View more

Plotly mentions (33)

  • 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 / 2 months 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 / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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 / 6 months 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 / 12 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Rectangle - Window management app based on Spectacle, written in Swift.

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.

Moom - Move your mouse over the green zoom button in any window, and Moom's mouse control overlay will appear (as seen in the above animation).

Chart.js - Easy, object oriented client side graphs for designers and developers.

Magnet Window Manager - Magnet Developers

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

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