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mxGraph VS Plotly

Compare mxGraph 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

mxGraph logo mxGraph

mxGraph is a fully client side JavaScript diagramming library - jgraph/mxgraph

Plotly logo Plotly

Low-Code Data Apps
  • mxGraph Landing page
    Landing page //
    2023-09-07
  • Plotly Landing page
    Landing page //
    2023-07-31

mxGraph features and specs

  • Open Source
    mxGraph is an open-source project, which allows developers to use, modify, and distribute the library freely.
  • Cross-Platform
    The library is designed to work seamlessly across multiple platforms (e.g., web browsers, desktop), providing flexibility in application deployment.
  • Rich Feature Set
    mxGraph provides a comprehensive set of features for building interactive diagramming applications, including support for drag-and-drop, undo/redo, zoom, and layout algorithms.
  • Lightweight
    Despite its rich feature set, mxGraph is relatively lightweight, which can yield better performance in terms of speed and resource usage.
  • Good Documentation
    mxGraph offers extensive documentation, making it easier for developers to understand and implement features in their projects.

Possible disadvantages of mxGraph

  • Steep Learning Curve
    Due to its extensive feature set and flexibility, mxGraph might have a steep learning curve for developers who are new to the library.
  • Limited Community Support
    Compared to more mainstream libraries, mxGraph may have a smaller community, potentially limiting the availability of community-based support and resources.
  • Legacy Codebase
    Some parts of mxGraph's codebase may be considered outdated, particularly as newer technologies and frameworks have emerged since its initial development.
  • Complex Customization
    While mxGraph offers powerful customization capabilities, achieving specific custom behaviors and styles can be complex without in-depth knowledge of the library.
  • Sparse Ecosystem
    As a specialized library, it may have fewer third-party plugins and extensions compared to more widely-adopted graph libraries.

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.

mxGraph videos

+ Add

mxGraph Made Easy 3

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 mxGraph and Plotly)

mxGraph

Plotly

Javascript UI Libraries
51 51%
Javascript UI Libraries
49% 49
Data Visualization
0 0%
Data Visualization
100% 100
Development
100 100%
Development
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 mxGraph and Plotly

mxGraph Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)
mxGraph uses no third-party software, it requires no plugins and can be integrated into virtually any framework. The mxGraph package contains a client software, written in JavaScript, and a series of backends for various languages. The client software is a graph component with an optional application wrapper that is integrated into an existing web interface. The client...
Source: modeling-languages.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 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 seems to be a lot more popular than mxGraph. While we know about 34 links to Plotly, we've tracked only 2 mentions of mxGraph. 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.

mxGraph mentions (2)

  • Process Analytics - March 2022 News
    It is possible to use the new API to retrieve the bpmn-visualization and mxGraph versions used at runtime: getVersion(). - Source: dev.to / over 4 years ago
  • mxGraph usage in TypeScript projects
    This article is the first one of a series about mxGraph, the Javascript diagramming library. - Source: dev.to / over 5 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!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 mxGraph and Plotly, you can also consider the following products

GoJS - GoJS is a JavaScript library for building interactive diagrams on HTML web pages. Build apps with flowcharts, org charts, BPMN, UML, modeling, and other visual graph types.

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.

Paper.js - Open source vector graphics scripting framework that runs on top of the HTML5 Canvas.

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

jsPlumb - jsPlumb is an advanced, standards-compliant and easy to use JS library for building connectivity based applications, such as flowcharts, process flow diagrams, sequence diagrams, organisation charts, etc. More than just a diagram library.

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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