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GoJS VS Plotly

Compare GoJS 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

GoJS logo 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.

Plotly logo Plotly

Low-Code Data Apps
  • GoJS Landing page
    Landing page //
    2023-03-21
  • Plotly Landing page
    Landing page //
    2023-07-31

GoJS features and specs

  • Rich Feature Set
    GoJS offers a comprehensive set of features designed for creating interactive diagrams, charts, and complex visualizations. This includes node and link modeling, custom styling, data binding, automatic layouts, and more.
  • Extensive Documentation
    The library is well-documented, providing developers with thorough guides, a detailed API reference, and numerous examples to assist in the implementation and troubleshooting of applications.
  • High Performance
    GoJS is optimized for performance, enabling the creation of responsive web applications that can handle a large number of nodes and complex interactions efficiently.
  • Flexibility and Customization
    GoJS offers great flexibility, allowing developers to customize the appearance and behavior of diagrams entirely, which makes it suitable for a wide range of use cases.
  • Active Support and Community
    The GoJS team provides active support to users through their forum and is responsive to issues and feature requests. This is complemented by a growing community of users sharing insights and solutions.

Possible disadvantages of GoJS

  • Commercial Licensing
    GoJS is a commercial product, and while it offers a free trial, a license is required for sustained use. This might be a constraint for projects with limited budgets.
  • Steep Learning Curve
    Due to its extensive capabilities and myriad of options, there can be a steep learning curve for developers new to GoJS to understand and effectively use all its features.
  • Complexity for Simple Diagrams
    While GoJS is powerful for complex diagrams, it might be considered overkill for simpler visualizations, where a lightweight library might suffice.
  • Browser Compatibility
    Although modern browsers are generally supported, there might be some compatibility issues or performance differences to manage when targeting older or less common browsers.
  • File Size
    The library's comprehensive feature set comes with a relatively large file size, which could impact loading times, particularly in environments with limited bandwidth.

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 GoJS

Overall verdict

  • GoJS is considered a good choice for developers needing a versatile and feature-rich library for developing complex diagramming applications. Its performance, flexibility, and extensive support make it a reliable tool for both small and large-scale projects.

Why this product is good

  • GoJS is widely regarded as a powerful JavaScript and TypeScript library for building interactive diagrams and graphs. It offers a comprehensive set of features, including customizable templates, support for a variety of diagram types, and intuitive drag-and-drop functionality. The library is optimized for performance with large datasets and provides a robust API for creating complex visual representations. It also boasts thorough documentation and a range of examples to help developers get started quickly.

Recommended for

  • Developers working on data visualization apps
  • Teams creating interactive diagrams or flowcharts
  • Projects requiring complex and scalable diagram solutions
  • Organizations needing customizable and high-performance diagram libraries

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.

GoJS videos

+ Add

GoJS in 12 Minutes: JavaScript Diagramming Library Tutorial

More videos:

  • Tutorial - What's in a GoJS JavaScript Application? | GoJS Beginner Tutorial #1
  • Review - [GOJS] Design Patterns em Javascript

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 GoJS and Plotly)

GoJS

Plotly

Javascript UI Libraries
55 55%
Javascript UI Libraries
45% 45
Data Visualization
0 0%
Data Visualization
100% 100
Flowcharts
100 100%
Flowcharts
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 GoJS and Plotly

GoJS Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)
GoJS offers many advanced features for user interactivity such as drag-and-drop, copy-and-paste, transactional state and undo management, palettes, overviews, data-bound models, event handlers, and an extensible tool system for custom operations. They provide over 150 interactive samples to help you get started with diagrams such as BPMN, flowchart, state chart, visual...
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 should be more popular than GoJS. 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.

GoJS mentions (13)

  • Ask HN: What do you use to create diagrams?
    Well I make https://gojs.net, so I just use the GoJS diagramming library to make diagrams :D Of course, its made for developers trying to make applications, not end users. - Source: Hacker News / over 1 year ago
  • Ask HN: What is the best software to visualize a graph with a billion nodes?
    My library (https://gojs.net) can do that easily. Give it a look, and if you think the price is acceptable for your project, contact us and we can make you a proof-of-concept. - Source: Hacker News / about 2 years ago
  • Your 14-Day Free Trial Ain't Gonna Cut It
    If you click on their username, it takes you to their profile. https://news.ycombinator.com/user?id=simonsarris. - Source: Hacker News / over 2 years ago
  • Burning money on paid ads for a dev tool โ€“ what we've learned
    Have spent six figures yearly on ads, mostly for reach for the developer-focused diagram library GoJS (https://gojs.net) > Each experiment will need ~$500 and 2 weeks I would add a zero if you want serious data. I would also double the timescale. $5,000 over 4 weeks I second the uselessness of Google Display, it might look like conversions numbers are good but they are 100% too good to be true. As soon as you look... - Source: Hacker News / almost 3 years ago
  • Any Ideas How to Create a Graph Builder UI in React?
    Used goJS in one project and konva in another. Source: over 3 years ago
View more

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 GoJS and Plotly, you can also consider the following products

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

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.

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.

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

Konva - Konva is 2d Canvas JavaScript framework for drawings shapes, animations, node nesting, layering, filtering, event handling, drag and drop and much more.

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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