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Keyboard Maestro VS Plotly

Compare Keyboard Maestro VS Plotly and see what are their differences

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Keyboard Maestro logo Keyboard Maestro

Keyboard Maestro is the leading software for macOS automation. It will increase business productivity by using macros(or short cuts) with simple keystrokes. Keyboard Maestro WikiThis wiki aims to help new users get started, and then provide .

Plotly logo Plotly

Low-Code Data Apps
  • Keyboard Maestro Landing page
    Landing page //
    2025-05-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Keyboard Maestro features and specs

  • Versatile Automation
    Keyboard Maestro allows users to automate a wide range of tasks on macOS, from simple text expansion to complex workflows involving multiple applications.
  • User-Friendly Interface
    The app provides a visually intuitive interface that makes it easier for users to create and manage their macros without needing extensive programming skills.
  • Robust Feature Set
    It includes a powerful set of features like clipboard history, named clipboards, customizable palettes, and more, which extend beyond typical automation tools.
  • Active Support and Community
    Keyboard Maestro has an active user community and responsive support team, providing users with resources for troubleshooting and advanced usage tips.
  • Regular Updates
    The developers regularly update the application, adding new features and ensuring compatibility with the latest versions of macOS.

Possible disadvantages of Keyboard Maestro

  • Learning Curve
    Despite its user-friendly interface, Keyboard Maestro can still have a steep learning curve for new users unfamiliar with automation concepts.
  • Mac-Only
    Keyboard Maestro is only available for macOS, so users who work across multiple platforms cannot use it on Windows or Linux systems.
  • Price
    While the powerful features justify its cost for many users, Keyboard Maestro is a paid application, which may be a deterrent for some potential users who are looking for free alternatives.
  • Resource Intensive
    Some users report that Keyboard Maestro can be resource-intensive, potentially affecting system performance, especially if running complex or numerous macros.
  • Occasional Bugs
    As with any software, users might encounter occasional bugs or issues, although the support team usually addresses them promptly.

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 Keyboard Maestro

Overall verdict

  • Yes, Keyboard Maestro is generally regarded as a good tool for those who need robust automation solutions on macOS. It is well-supported and regularly updated to ensure compatibility with the latest operating systems and applications.

Why this product is good

  • Keyboard Maestro is considered a powerful macro program for macOS that allows users to automate repetitive tasks and customize their workflows. It is favored for its extensive functionality, ease of use once set up, and integration capabilities with other applications. Users often highlight its ability to save time and improve productivity, especially for complex automation needs.

Recommended for

  • Users who frequently perform repetitive tasks and want to streamline their workflow.
  • Power users and professionals who work with multiple applications and need extensive automation solutions.
  • Individuals who enjoy customizing their workspace and improving efficiency through personalized hotkeys and macros.

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.

Keyboard Maestro videos

+ Add

Keyboard Maestro Review

More videos:

  • Review - Keyboard Maestro Review | Automation Software Worth for $36?
  • Review - 5 Types of Macros I Use in Keyboard Maestro

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 Keyboard Maestro and Plotly)

Keyboard Maestro

Plotly

Automation
100 100%
Automation
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Mac
100 100%
Mac
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Keyboard Maestro and Plotly. 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 Keyboard Maestro and Plotly

Keyboard Maestro Reviews

What's a good alternative to Textexpander for Mac?
2Keyboard MaestroView ProductJayDeveloper · Written 2yr agoI use this before I subscribe TextExpander🙏 helpful 0CommentsShareCarlo Zottmann 🇪🇺🙏 helpful 0Comments (1)a year agoPatrick LoonstraDesigner at patrickloonstra.nl🙏 helpful 0Comments (0)a year ago
Source: www.producthunt.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.
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, Plotly seems to be more popular. It has been mentiond 33 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.

Keyboard Maestro mentions (0)

We have not tracked any mentions of Keyboard Maestro yet. Tracking of Keyboard Maestro recommendations started around Mar 2021.

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 / 3 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 / 5 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 Keyboard Maestro and Plotly, you can also consider the following products

Pulover’s Macro Creator - Pulover’s Macro Creator is a Free Automation Tool and Script Generator.

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.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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

AutoHotkey - The ultimate automation scripting language for Windows.

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

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