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.
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Which is more popular?
Based on our record, Plotly
should be more popular than GoJS.
It has been mentioned 34 times since March 2021.
social mentions
13 vs 34
Javascript UI Libraries popularity
100% vs 0%
alternatives listed
53 vs 240+
Base details
Website, pricing, platforms and company facts side by side.
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
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.
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
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
An editorial look at what each product does well and who it suits.
GoJSPlotly
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
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 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...
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.
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...
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...
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
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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
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over 2 years ago
If you click on their username, it takes you to their profile. https://news.ycombinator.com/user?id=simonsarris.
- Source: Hacker News
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over 2 years ago
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
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8 months ago
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
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over 1 year ago
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...
- Source: dev.to
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almost 2 years ago
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.
Konva is 2d Canvas JavaScript framework for drawings shapes, animations, node nesting, layering, filtering, event handling, drag and drop and much more.
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