Software Alternatives, Accelerators & Startups

CanvasJS VS Plotly

Compare CanvasJS VS Plotly and see what are their differences

CanvasJS logo CanvasJS

HTML5 JavaScript, jQuery, Angular, React Charts for Data Visualization

Plotly logo Plotly

Low-Code Data Apps
  • CanvasJS Landing page
    Landing page //
    2021-09-20

CanvasJS is an easy to use HTML5 and Javascript Charting library which supports 30+ chart types including line, column, bar, area, pie, financial and much more. It runs across devices including iPhone, iPad, Android, Windows Phone, Microsoft Surface, Desktops, etc. This allows you to create rich dashboards that work on all the devices without compromising on maintainability or functionality of your web application.

  • Plotly Landing page
    Landing page //
    2023-07-31

CanvasJS features and specs

  • Easy to Use
    CanvasJS offers a straightforward API and extensive documentation, making it easy for developers to quickly integrate charts into their applications.
  • Performance
    CanvasJS uses HTML5 Canvas for rendering, which provides excellent performance, especially for large datasets or real-time updates.
  • Cross-Browser Compatibility
    Charts rendered with CanvasJS work across all modern web browsers, ensuring a consistent experience for users.
  • Variety of Chart Types
    CanvasJS supports a wide range of chart types including line, bar, pie, and more, offering flexibility for different data visualization needs.
  • Responsive Design
    Charts created with CanvasJS are responsive and adjust well to different screen sizes, which is crucial for mobile and tablet support.

Possible disadvantages of CanvasJS

  • Licensing Cost
    While CanvasJS offers a free version, the full-featured version requires a commercial license, which may be costly for small projects or individual developers.
  • Limited Customization
    Although CanvasJS provides several customization options, it may not be as flexible as other libraries when it comes to highly specific or complex customizations.
  • Dependency on JavaScript
    Being a JavaScript library, CanvasJS requires a working knowledge of JavaScript, which could be a barrier for beginners or developers coming from other programming languages.
  • Learning Curve for Complex Features
    Although basic usage is simple, mastering all of the advanced features and customization options may take some time and effort.

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 CanvasJS

Overall verdict

  • CanvasJS is a solid choice for developers looking for a reliable and easy-to-use charting library. Its performance, compatibility across devices, and variety of features make it suitable for personal projects as well as larger enterprise applications.

Why this product is good

  • CanvasJS is a popular JavaScript library for creating responsive and interactive charts. It is known for its performance and ease of use, allowing developers to integrate a wide range of chart types quickly. The library offers extensive documentation and a variety of customization options, making it a preferred choice for projects that require clean and visually appealing data visualizations.

Recommended for

  • Developers seeking a straightforward solution for charting without steep learning curves.
  • Projects that require responsive, interactive charts across different devices and browsers.
  • Teams or individuals working with large datasets in need of an animation-capable visualization tool.
  • Companies or developers requiring extensive support and documentation for rapid development.

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.

CanvasJS videos

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Plotly videos

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 CanvasJS and Plotly)
Charting Libraries
36 36%
64% 64
Data Visualization
14 14%
86% 86
Data Dashboard
24 24%
76% 76
Development
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare CanvasJS and Plotly

CanvasJS Reviews

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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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly should be more popular than CanvasJS. It has been mentiond 33 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.

CanvasJS mentions (12)

  • Coordinating Tooltips Across Multiple CanvasJS Charts Using React Context
    This article outlines a concise and effective solution for coordinating tooltips in CanvasJS Charts rendered within a React application, even when these charts are defined in separate component files. The core of this approach lies in leveraging the showAtX method provided by the CanvasJS API and managing the shared tooltip state using React Context. - Source: dev.to / about 1 month ago
  • Smarter Axis Label Formatting Based on Zoom Level in CanvasJS
    When building time-series charts, how you format axis labels can make or break readability — especially when users zoom across seconds to years. CanvasJS provides excellent out-of-the-box support for time-based axis labels, but when working with sub-minute or sub-hour data (e.g., sensor readings, real-time dashboards), the default behavior might not always deliver the best readability. This guide shows how to... - Source: dev.to / 3 months ago
  • Dynamic Highlighting of Weekends in CanvasJS Charts
    Visualizing time-series data - such as financial charts, project timelines, or event trackers - often requires contextual markers like weekends or holidays to improve insights. CanvasJS charts offer the flexibility to dynamically highlight specific date ranges using stripLines. - Source: dev.to / 3 months ago
  • Integrating CanvasJS Charts in Salesforce Lightning Aura Component
    Visualizing data within Salesforce enhances user engagement and decision-making. A recent study showed that dashboards with interactive charts increase user adoption by 70%. This article guides you through seamlessly integrating CanvasJS charts into your Lightning Aura components for impactful data representation. - Source: dev.to / 6 months ago
  • Display Chart in Express.js App using CanvasJS
    Download the CanvasJS library from CanvasJS's official website. - Source: dev.to / 7 months ago
View more

Plotly mentions (33)

  • 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 / 3 months 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 / 5 months 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 / 7 months 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 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

Chart.js - Easy, object oriented client side graphs for designers and developers.

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.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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

liveGap Charts - Free online charts. Easily create animated charts from your data.save your charts as image or HTML.

Google Charts - Interactive charts for browsers and mobile devices.