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Monaco Editor VS Plotly

Compare Monaco Editor VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Monaco Editor logo Monaco Editor

A browser based code editor

Plotly logo Plotly

Low-Code Data Apps
  • Monaco Editor Landing page
    Landing page //
    2023-07-23
  • Plotly Landing page
    Landing page //
    2023-07-31

Monaco Editor features and specs

  • Rich Features
    Monaco Editor provides a wide array of features like syntax highlighting, IntelliSense, code folding, etc., making it a powerful option for code editing.
  • Extensibility
    The editor is highly extensible, allowing developers to customize and extend its functionalities to suit their specific needs.
  • VS Code Integration
    As the core editor used in Visual Studio Code, Monaco Editor inherits many of the capabilities and optimizations from VS Code, ensuring robust performance.
  • Web-Based
    Being a web-based editor, it can be easily integrated into web applications, making it highly accessible across different platforms.
  • Large Community
    Monaco Editor benefits from a large community and strong backing from Microsoft, ensuring ongoing development and support.

Possible disadvantages of Monaco Editor

  • Large Bundle Size
    The initial bundle size of the Monaco Editor can be quite large, which may impact the loading time of web applications using it.
  • Complexity
    Due to its rich feature set, the Monaco Editor can be complex to integrate and configure for new developers.
  • Browser Limitations
    Since it is a web-based tool, it might face performance limitations or issues in specific browsers or older versions.
  • Limited Mobile Support
    Monaco Editor is not optimized for mobile usage, potentially leading to a subpar experience on mobile devices.

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 Monaco Editor

Overall verdict

  • Monaco Editor is considered to be an excellent option for web-based code editing environments. It offers a comprehensive feature set that appeals to both novice and experienced developers, thanks to its adaptability and powerful coding tools.

Why this product is good

  • Monaco Editor is a powerful and feature-rich code editor built by Microsoft, primarily used in web-based environments. It is the same editor engine that powers Visual Studio Code, which is widely praised for its performance, versatility, and extensive feature set. Monaco Editor supports syntax highlighting, IntelliSense, customizable keybindings, and various extensions, making it a robust tool for developers. Additionally, it is designed to handle large codebases efficiently, making it suitable for professional use.

Recommended for

    Monaco Editor is highly recommended for web developers who require a lightweight yet powerful code editor for their web applications. It is particularly useful for projects that involve collaborative coding environments, educational platforms, or integrating an advanced editor into custom software solutions.

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.

Monaco Editor videos

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

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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 Monaco Editor and Plotly)

Monaco Editor

Plotly

Text Editors
100 100%
Text Editors
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Monaco Editor and Plotly

Monaco Editor 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.
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, Monaco Editor should be more popular than Plotly. It has been mentiond 52 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.

Monaco Editor mentions (52)

  • Claude Code uses Bun written in Rust now
    Yes, in the Monaco editor (https://microsoft.github.io/monaco-editor/). It's not just typechecking, the typescript library is also the reference parser for TypeScript and reference emit. Emitting TypeScript is non-trivial and non-local. It's not just in browsers, you might want to run the typescript library on the edge or in some restricted environment where JS/WASM is OK but native code is not. You may want to... - Source: Hacker News / 24 days ago
  • I built a GUI-powered Userscript manager for faster userscript creation!
    So I switched to Monaco editor, the same editor that powers VSCode. The extension instantly became a few MB heavier, but it was definitely worth it. Monaco editor was extremely powerful, with all the standard editor features such as renaming variables, syntax highlighting, and more just out of the box. I'm so glad I didn't have to implement any of that myself, yet it's available for everyone to use. - Source: dev.to / 4 months ago
  • Font with Built-In Syntax Highlighting (2024)
    I have yet to see a good web based text editor with syntax highlighting. I slightly expect you to pull a "no true Scotsman" here and suggest it's actually no good because it doesn't really support mobile browsers very well, but Microsoft's Monaco editor that's driven from VS Code is quite good. https://microsoft.github.io/monaco-editor/. - Source: Hacker News / 8 months ago
  • Integrate VS Code editor in your project! Monaco Editor ๐Ÿš€
    Monaco editor by Microsoft @monaco-editor/react Happy coding! ๐Ÿ˜ƒ. - Source: dev.to / over 1 year ago
  • An experiment in UI density created with Svelte
    VS Code Editor which is based on Electron, is really fast, even with large codebase & many open tabs. Their monaco engine (https://microsoft.github.io/monaco-editor/) uses custom, virtual code processor that is optimized for surgically updating underlying DOM. It also uses WebGL + canvas rendering to show minimap of the file. Similar approach (custom virtual processor) is leveraged by Google docs/sheets. Canvas... - Source: Hacker News / about 2 years ago
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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 Monaco Editor and Plotly, you can also consider the following products

Prettier - An opinionated code formatter

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.

VS Code - Build and debug modern web and cloud applications, by Microsoft

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

CodeMirror - CodeMirror is a versatile text editor implemented in JavaScript for the browser.

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.

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