Software Alternatives, Accelerators & Startups
Register | Login

Karabiner VS Plotly

Compare Karabiner VS Plotly and see what are their differences

Topolog
Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them. featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Karabiner logo Karabiner

Karabiner, previously called KeyRemap4MacBook, is a very powerful keyboard remapper for Mac OS X.

Plotly logo Plotly

Low-Code Data Apps
  • Karabiner Landing page
    Landing page //
    2023-10-06
  • Plotly Landing page
    Landing page //
    2023-07-31

Karabiner features and specs

  • Customizability
    Karabiner-Elements allows users to remap keys and create complex keyboard configurations that can greatly enhance productivity and convenience.
  • Open Source
    Being an open-source tool, Karabiner-Elements is free to use and comes with the potential for community contributions and transparency in development.
  • Flexibility
    The tool supports a wide range of devices and configurations, making it adaptable to various user needs and setups.
  • Ease of Use
    The user interface is designed to be intuitive, allowing both novice and experienced users to easily configure and remap their keyboards.
  • Regular Updates
    The tool is actively maintained with regular updates, ensuring compatibility with the latest macOS versions and adding new features.

Possible disadvantages of Karabiner

  • Compatibility Issues
    Some users may experience compatibility issues with certain applications or hardware, potentially causing unexpected behavior.
  • Learning Curve
    Although the interface is intuitive, mastering its full range of features, especially for complex configurations, can require a steep learning curve.
  • System Performance
    On occasion, Karabiner-Elements may consume significant system resources, which could impact overall system performance.
  • Limited Platform Support
    As of now, Karabiner-Elements only supports macOS, limiting its utility for users on other operating systems such as Windows or Linux.
  • Potential for Errors
    Incorrect configuration or updates may lead to errors in key mappings, which can disrupt the user experience until resolved.

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 Karabiner

Overall verdict

  • Karabiner-Elements is considered a good tool for macOS users seeking to customize their keyboard. Its reliability, versatility, and active community support make it a valuable addition to any power user's toolkit.

Why this product is good

  • Karabiner-Elements is highly regarded for its ability to customize and remap keyboard keys on macOS. It offers a powerful and flexible suite of features that allow users to tailor their keyboard setup to their specific needs, enhancing productivity and ergonomics. With an intuitive interface and extensive documentation, both novice and advanced users can benefit from its functionality.

Recommended for

  • Developers who need custom keyboard shortcuts.
  • Mac users experiencing discomfort with standard keyboard layouts.
  • Professionals requiring specific keybindings for software applications.
  • Users transitioning from Windows or Linux who want to emulate key behaviors from those systems.

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.

Karabiner videos

+ Add

REVIEW: Should you play the Vetterli 71 Karabiner? [Hunt Gun Review #1]

More videos:

  • Review - Vim screencast #59: Karabiner Elements
  • Review - Evolution of the Karabiner 98k, From Prewar to Kriegsmodell

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 Karabiner and Plotly)

Karabiner

Plotly

Automation
100 100%
Automation
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

Share your experience with using Karabiner 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 Karabiner and Plotly

Karabiner Reviews

We have no reviews of Karabiner 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 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, Karabiner should be more popular than Plotly. It has been mentiond 277 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.

Karabiner mentions (277)

  • Ubuntu 26.04 LTS Released
    As a both old Linux and now decade user of MacOS, after I got used to no middle-click paste and no focus-follows-mouse: 1. Keyboard shortcuts are Emacs, Ctrl-A: start of line, E: end of line, K: kill selected or to end of line, Y to paste, etc. https://support.apple.com/en-au/102650#text 2. Karabiner elements (FOSS) fixes keyboard mappings outside of the Settings: https://karabiner-elements.pqrs.org/ 3. I have the... - Source: Hacker News / 4 months ago
  • Show HN: BoringBar โ€“ a taskbar-style dock replacement for macOS
    I've always setup my macbooks with a custom json config using https://karabiner-elements.pqrs.org/ to avoid the dock, but couldnt convince any friends to give it a try since its high effort, I guess so I hacked together https://dockshortcut.com really quick and that kinda made the difference in how some people use their macbooks these days, but tough market, nobody likes paying for something that should come out... - Source: Hacker News / 4 months ago
  • Claude Code Voice Mode
    I've had success in the past in customizing macOS key bindings using Karabiner: https://karabiner-elements.pqrs.org/. - Source: Hacker News / 5 months ago
  • Ask HN: What Are You Working On? (July 2025)
    Hey! These kinds of keyboard related things are well solved by Karabiner elements: https://karabiner-elements.pqrs.org/ There you can map (whatever key) to (whatever other key). E.g. I have right command mapped to F20, available to all other apps . - Source: Hacker News / about 1 year ago
  • Ergonomic Mac Keyboard Setup
    I use Karabiner as the driver for keyboard customizations. Karabiner intercepts hardware keystrokes and sends keystrokes to the computer allowing me to configure Karabiner to have a flexible setup and map key(s) presses to other keys(s) or commands. - Source: dev.to / over 1 year 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 / 5 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 Karabiner and Plotly, you can also consider the following products

BTT Remote - A remote control for you Mac, using your iPhone or iPad

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.

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

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

SteerMouse - Advanced driver for USB and Bluetooth mouses.

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.

Loading...