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Plotly VS ZingChart

Compare Plotly VS ZingChart and see what are their differences

Plotly

Low-Code Data Apps

Rating
0 reviews
Alternatives Is it good?
ZingChart

ZingChart is a fast, modern, powerful JavaScript charting library for building animated, interactive charts and graphs. Bring on the big data!

Rating
5.0 · 1 review
Pricing
Freemium Free trial $99 / Annually (Website license for a single website or domain)
Alternatives Is it good?
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Which is more popular?

Based on our record, Plotly seems to be more popular. It has been mentioned 34 times since March 2021.

social mentions
34 vs 0
Data Visualization popularity
79% vs 21%
alternatives listed
240+ vs 129

Base details

Website, pricing, platforms and company facts side by side.

Plotly
ZingChart
Website plotly.com zingchart.com
Pricing
Official pricing
Freemium Free trial $99 / Annually (Website license for a single website or domain) Official pricing
Platforms —
Browser Windows iOS Android Mac OSX Linux Web Cross Platform JavaScript PHP Google Chrome Firefox Java iPhone Safari TypeScript +13
Company — 2009
Listed in
Application And Data Developer Tools App Development App Deployment Data Visualization Low Code +3
Charting Libraries Charts Charting Tools And Libraries Data Visualization Data Dashboard Org Charts Business Intelligence +4

About Plotly and ZingChart

In their own words, as submitted to SaaSHub.

Plotly
ZingChart

No description of Plotly yet.

A pioneer in the world of data visualization, ZingChart is a powerful JavaScript library built with big data in mind. With more than 50 chart types and easy integration with your development stack, ZingChart allows you to create interactive and responsive charts with ease.

Read more about ZingChart

Features and specs

What each product offers, as listed by its team.

Plotly 6 features
ZingChart 6 features
  • 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.
  • Feature-Rich
    ZingChart offers a wide range of chart types and customization options, enabling developers to create detailed and highly interactive visualizations.
  • Performance
    Designed for high performance, ZingChart can handle large data sets efficiently, making it suitable for applications that require processing extensive information.
  • Cross-Platform Support
    The library supports multiple platforms, ensuring that charts render correctly across various devices and web browsers.
  • Ease of Use
    With extensive documentation and examples, as well as an intuitive API, ZingChart is accessible for developers at different skill levels.
  • Interactivity
    ZingChart provides numerous interactive features, such as tooltips, animations, and events, which enhance user engagement.
  • Community and Support
    There is a strong community and professional support available, offering assistance and resources for troubleshooting and improving your projects.

Possible disadvantages

  • Cost
    ZingChart is a commercial product with licensing fees, which may be a drawback for small-scale projects or individual developers.
  • Learning Curve
    Despite its comprehensive documentation, the extensive features and customization options can present a learning curve for newcomers.
  • Size
    The library can be relatively large compared to other lightweight charting libraries, potentially impacting load times for performance-critical applications.
  • Complexity
    Highly complex visualizations may require intricate configurations, which could increase development time and effort.
  • Dependency on JavaScript
    As a JavaScript library, ZingChart requires a solid understanding of JavaScript for effective implementation, possibly excluding those with limited web development experience.

Analysis

An editorial look at what each product does well and who it suits.

Plotly
ZingChart

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.

Overall verdict

  • Overall, ZingChart is considered a good option for developers who need a powerful, versatile charting library. Its rich feature set, performance, and ease of use make it a popular choice among many professionals looking for robust data visualization solutions.

Why this product is good

  • ZingChart is a well-regarded charting library that supports a wide variety of chart types, including interactive and real-time data visualizations. It is known for its flexibility, extensive customization options, and ability to handle large datasets efficiently. Moreover, it provides cross-platform compatibility and responsive designs that adapt to different screen sizes, catering to diverse application needs.

Recommended for

    ZingChart is recommended for developers, data analysts, and businesses that require dynamic and responsive data visualization capabilities in their web applications. It is particularly well-suited for projects involving large datasets, real-time updates, or complex interactive visualizations.

Videos

Walkthroughs and reviews on video.

Plotly 5 videos + Add
ZingChart 2 videos + Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos

  • - Introducing plotly.py 3.0
  • - Is Plotly The Better Matplotlib?
  • - Plotly Tutorial 2021
  • - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

ZingChart Flash vs HTML5 Speed Test on Nexus One with Froyo

More videos

  • - Learn Data Visualization with Zingchart

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Plotly
ZingChart
79% 79%
Data Visualization
21% 21%
55% 55%
Charting Libraries
45% 45%
64% 64%
Data Dashboard
36% 36%
100% 100%
Development
0% 0%

User comments

Share your experience with using Plotly and ZingChart. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Plotly no reviews yet
ZingChart 5.0 · 1 review

View more

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Plotly 34 mentions
ZingChart 0 mentions

View more

Tracking ZingChart since Mar 2021.

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