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Plotly VS jsPlumb

Compare Plotly VS jsPlumb and see what are their differences

Modelence
Create production-ready applications with zero code sponsored
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Plotly logo Plotly

Low-Code Data Apps

jsPlumb logo 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.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • jsPlumb Chatbot Builder
    Chatbot Builder //
    2025-04-23
  • jsPlumb Active Filtering
    Active Filtering //
    2025-04-23
  • jsPlumb Flowchart Builder
    Flowchart Builder //
    2025-04-23
  • jsPlumb Hello World
    Hello World //
    2025-04-23
  • jsPlumb Gantt Chart
    Gantt Chart //
    2025-04-23
  • jsPlumb Hierarchy Layout
    Hierarchy Layout //
    2025-04-23
  • jsPlumb Mindmap Builder
    Mindmap Builder //
    2025-04-23
  • jsPlumb Org Chart
    Org Chart //
    2025-04-23
  • jsPlumb Schema Builder
    Schema Builder //
    2025-04-23
  • jsPlumb Path Tracing
    Path Tracing //
    2025-04-23
  • jsPlumb Call Flow Builder
    Call Flow Builder //
    2025-04-23
  • jsPlumb Network Topology
    Network Topology //
    2025-04-23

Build connectivity quickly. Powerful and flexible library for diagramming and rich graphical front ends. JsPlumb contains everything you need to build an application with visual connectivity: pan/zoom, a minimap widget, automatic layouts, data binding, and more. Deep integration with Angular, React, Svelte and Vue.

Cut your time to market by focusing on what makes your app unique and leave the boring stuff to us.

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.

jsPlumb features and specs

  • Ease of Use
    jsPlumb provides a straightforward API that simplifies making interactive and dynamic visualizations. It's easy to understand and quick to implement for creating diagrams and flowcharts.
  • Rich Feature Set
    The library offers a wide range of features, including various endpoint and connector types, overlays, and a robust event handling system, making it versatile for different types of projects.
  • Extensive Documentation and Examples
    jsPlumb offers thorough documentation and a variety of example projects, which help developers get started and serve as a resource for troubleshooting and implementing more complex functionality.
  • Cross-Browser Compatibility
    It supports major browsers and ensures consistent behavior across different platforms, which is essential for web applications.
  • Customizable
    With its customizable options, developers can tailor the appearance and behavior of connections and components to fit the specific needs of their application.

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.

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

jsPlumb videos

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

Add video

Category Popularity

0-100% (relative to Plotly and jsPlumb)

Plotly

jsPlumb

Data Visualization
100 100%
Data Visualization
0% 0
Javascript UI Libraries
51 51%
Javascript UI Libraries
49% 49
Charting Libraries
100 100%
Charting Libraries
0% 0
Development
0 0%
Development
100% 100

Questions & Answers

As answered by people managing Plotly and jsPlumb.

Why should a person choose your product over its competitors?

jsPlumb's answer:

The flexibility and deep integration of the library is what most clients love. jsPlumb also offers also quick help and support. Wide range of features. Powerful with integration to common web frameworks. Good examples. Support for HTML & SVG.

Who are some of the biggest customers of your product?

jsPlumb's answer:

Apple, Walmart, Siemens, Oracle, Cisco, Credit Suisse.

What makes your product unique?

jsPlumb's answer:

JsPlumb is a JavaScript library that simplifies creating visual connections between elements in a web application. It is particularly popular for building applications with drag-and-drop interfaces, workflow editors, process modeling tools, or any system where you need to visualize relationships between elements.JsPlumb is designed to work seamlessly across modern browsers, ensuring that your application delivers a consistent user experience to all users.

How would you describe the primary audience of your product?

jsPlumb's answer:

JsPlumb's primary audience consists of developers and organizations that need to create visual representations of relationships or workflows in web applications. Web Application Developers, Software Companies, Designers and Engineers of Interactive Tools, Educational and Research Platforms, Enterprises Needing Custom Solutions, Developers Needing Quick Prototyping,Data Visualization Professionals.

User comments

Share your experience with using Plotly and jsPlumb. 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 Plotly and jsPlumb

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

jsPlumb Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)
jsPlumb provides a fast way of building applications with visual connectivity at their core. s. It uses SVG and runs on all browsers from IE9 and later. JsPlumbToolkit is its commercial extension. This commercial version wraps the Community edition with a focus on the underlying data model, as well as several useful UI features such as layouts, and a widget that offers...
Source: modeling-languages.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than jsPlumb. 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.

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 / 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

jsPlumb mentions (5)

  • Do you know any good libraries to make those kind of graph?
    I have looked into https://jsplumbtoolkit.com/ for a couple of projects and it seemed pretty good but it was a pure JS library 'community edition' with a commercial version that had all the nice framework integration for React and Angular. Source: over 3 years ago
  • Low-code development (Node-RED alternative)
    A pretty common one is jsPlumb - https://jsplumbtoolkit.com/ - might be what you're looking for. I'm sure there are others as well. - Source: Hacker News / over 3 years ago
  • Library suggestions for creating unidirectional graphs or flowcharts.
    Check out https://jsplumbtoolkit.com/. Source: almost 4 years ago
  • Is there any node graph library for svelte?
    Amazing!!! I am looking specifically for something like react flow as well. After looking into it the best option might be jsplumb. Source: over 4 years ago
  • Creating a drag and drop platform with python
    Hey, finally I found https://jsplumbtoolkit.com/ who seems to be the best solution for that. Source: over 5 years ago

What are some alternatives?

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

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.

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.

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

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

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.

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

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