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Microsoft Edge WebView2 VS Plotly

Compare Microsoft Edge WebView2 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

Microsoft Edge WebView2 logo Microsoft Edge WebView2

The Microsoft Edge WebView2 control allows you to embed web technologies (HTML, CSS, and JavaScript) in your native Windows apps.

Plotly logo Plotly

Low-Code Data Apps
  • Microsoft Edge WebView2 Landing page
    Landing page //
    2023-10-03
  • Plotly Landing page
    Landing page //
    2023-07-31

Microsoft Edge WebView2 features and specs

  • Integration with Edge
    WebView2 allows developers to integrate their applications seamlessly with the Microsoft Edge browser, leveraging its modern web technologies and rendering engine.
  • Evergreen and Fixed Versions
    WebView2 supports both Evergreen and Fixed versions, providing developers with flexible options for updates and stability, ensuring that applications can either benefit from the latest features or remain stable with specific versions.
  • Consistent Web Experience
    It enables a consistent web experience across both the Edge browser and applications using WebView2, ensuring that web-based features and appearances are uniform.
  • Improved Security
    By using a modern web engine, WebView2 provides improved security features compared to older browser control technologies, leveraging Edge's security updates.
  • Rich Web Standards Support
    WebView2 supports the latest web standards and technologies, providing developers access to modern APIs and capabilities within their applications.

Possible disadvantages of Microsoft Edge WebView2

  • Initial Setup Complexity
    Setting up WebView2 in an application can be more complex initially, particularly if developers are transitioning from older web controls.
  • Dependency on Edge Installation
    Applications using WebView2 depend on the presence of the Microsoft Edge browser on user systems. While it typically comes pre-installed on Windows, this may not always be the case.
  • Platform Limitations
    WebView2 is primarily designed for Windows, potentially limiting cross-platform deployment unless using additional frameworks or solutions.
  • Resource Usage
    Running WebView2 might consume more system resources, as it leverages a full-fledged modern browser engine, possibly impacting the performance of resource-constrained environments.
  • Version Management Complexity
    Managing version compatibility and updates for applications relying on specific WebView2 versions may introduce additional complexity, especially when dealing with the Fixed Version approach.

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.

Microsoft Edge WebView2 videos

No Microsoft Edge WebView2 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 Microsoft Edge WebView2 and Plotly)

Microsoft Edge WebView2

Plotly

.Net
100 100%
.Net
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Security & Privacy
100 100%
Security & Privacy
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 Microsoft Edge WebView2 and Plotly

Microsoft Edge WebView2 Reviews

We have no reviews of Microsoft Edge WebView2 yet.
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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, Plotly should be more popular than Microsoft Edge WebView2. It has been mentiond 34 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.

Microsoft Edge WebView2 mentions (16)

  • Zasper: A Modern and Efficient Alternative to JupyterLab, Built in Go
    Edge does, https://developer.microsoft.com/en-gb/microsoft-edge/webview2/?cs=578062562&form=MA13LH https://learn.microsoft.com/en-us/microsoft-edge/webview2/. - Source: Hacker News / over 1 year ago
  • Web Apps Are Better Than No Apps
    Microsoft has this on Windows: https://learn.microsoft.com/en-us/microsoft-edge/webview2/ Teams 2 is supposed to use it (and there's a couple smaller system apps that use it). - Source: Hacker News / almost 3 years ago
  • .NET desktop development, Desktop development with C++ or Universal Windows Platform development?
    I'd like to make my own Web Browser using the Microsoft Edge WebView2 that can also run on Windows 11 for Arm64. Source: about 3 years ago
  • Perspective 2.0, Open Source WebAssembly-Powered BI
    Electron is going to kill the good performance gains of Perspective. Even if you have a fully beefed-up workstation, Electron is going to trigger the CPU fans. Electron is discouraged nowadays in favor of lightweight solutions like Sciter[0], Tauri[1] or even WebView2[2]. -- [0]: https://sciter.com/ [1]: https://tauri.app/ [2]: https://learn.microsoft.com/en-us/microsoft-edge/webview2/. - Source: Hacker News / over 3 years ago
  • Why the New Microsoft Teams is the Ultimate Communication Tool for the Modern Workplace
    The above user is technically correct it is not Electron. It is a MS supported Chromium-baesd WebView program based on their Edge browser: https://learn.microsoft.com/en-us/microsoft-edge/webview2/. Source: over 3 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
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What are some alternatives?

When comparing Microsoft Edge WebView2 and Plotly, you can also consider the following products

privacy.sexy - Web tool to generate scripts for enforcing privacy & security best-practices such as stopping data collection of Windows and different softwares on it.

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.

WebKitGTK+ - WebKitGTK+ is the port of the portable web rendering engine WebKit to the GTK+ platform.

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

Bun.sh - Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node.js-compatible package manager.

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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