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jsPlumb VS Matplotlib

Compare jsPlumb VS Matplotlib and see what are their differences

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

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.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • 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.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

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.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

jsPlumb videos

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Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to jsPlumb and Matplotlib)

jsPlumb

Matplotlib

Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Development
100 100%
Development
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

Questions & Answers

As answered by people managing jsPlumb and Matplotlib.

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 jsPlumb and Matplotlib. 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 jsPlumb and Matplotlib

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

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than jsPlumb. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of jsPlumb. 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.

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

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 5 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 8 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 9 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 10 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 11 months ago
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What are some alternatives?

When comparing jsPlumb and Matplotlib, 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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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