Software Alternatives, Accelerators & Startups

KbdEdit VS Plotly

Compare KbdEdit 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.

KbdEdit logo KbdEdit

Keyboard layout editor, mapper/remapper.

Plotly logo Plotly

Low-Code Data Apps
  • KbdEdit Landing page
    Landing page //
    2021-07-31
  • Plotly Landing page
    Landing page //
    2023-07-31

KbdEdit features and specs

  • User-Friendly Interface
    KbdEdit provides an intuitive and user-friendly interface, making it accessible to both beginners and advanced users for keyboard layout customization.
  • Rich Feature Set
    The software offers a comprehensive set of features, allowing users to create complex keyboard layouts, redefine keys, and manage dead keys efficiently.
  • System Integration
    KbdEdit integrates well with Windows, enabling users to easily apply and switch between custom keyboard layouts without complex configurations.
  • Unicode Support
    The application supports Unicode, which is beneficial for users working with multilingual texts or special character sets.
  • Backup and Restore
    KbdEdit allows users to backup and restore keyboard layouts, ensuring that their customizations are preserved and can be easily transferred between systems.

Possible disadvantages of KbdEdit

  • Windows Only
    KbdEdit is only available for Windows operating systems, which limits its usability for Mac and Linux users.
  • Cost
    The full version of KbdEdit is not free, which may be a drawback for users looking for a cost-free solution for keyboard customization.
  • Limited Free Version
    The free version of KbdEdit comes with limitations on functionality, which might not suffice for users with advanced customization needs.
  • Learning Curve
    Although the interface is user-friendly, there is still a learning curve involved in understanding all the advanced features and fully utilizing them.
  • Potential System Conflicts
    As with any system modification tool, there is a small risk of creating conflicts with existing keyboard drivers or software.

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 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.

KbdEdit videos

No KbdEdit videos yet. You could help us improve this page by suggesting one.

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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 KbdEdit and Plotly)
Note Taking
100 100%
0% 0
Data Visualization
0 0%
100% 100
Tool
100 100%
0% 0
Charting Libraries
0 0%
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 KbdEdit and Plotly

KbdEdit Reviews

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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.
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 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.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than KbdEdit. While we know about 34 links to Plotly, we've tracked only 1 mention of KbdEdit. 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.

KbdEdit mentions (1)

  • Add Arrow Keys to Layout
    MS Keyboard Layout Creator can not assign those keys, but only characters and dead keys. AFAIK kbdedit.com will allow you to create such a custom Windows keyboard layout _with_ arrow keys. I currently use Autohotkey for that. You can have a look at my script and see how I assign the CapsLock key as a modifier key and in my case (Vim-like) hjkl-keys as arrow keys. The source is here:... Source: almost 4 years ago

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 / 6 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!🤓
    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 / almost 2 years 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
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What are some alternatives?

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

Microsoft keyboard layout creator - Edit the windows keyboard layout.

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.

Stick Shift - Stick Shift saves you time by removing repetitive changes to hand position when programming.

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

xmodmap - The xmodmap program is used to edit and display the keyboard modifier map and keymap table that are...

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.