Software Alternatives & Reviews

ZingChart VS Plotly

Compare ZingChart VS Plotly and see what are their differences

ZingChart logo ZingChart

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

Plotly logo Plotly

Low-Code Data Apps
  • ZingChart Landing page
    Landing page //
    2021-07-12

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.

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

ZingChart

$ Details
freemium $99.0 / Annually (Website license for a single website or domain)
Platforms
Browser Windows iOS Android Mac OSX Linux Web Cross Platform JavaScript PHP Google Chrome Firefox Java iPhone Safari TypeScript
Release Date
2009 January

ZingChart videos

ZingChart Flash vs HTML5 Speed Test on Nexus One with Froyo

More videos:

  • Review - Learn Data Visualization with Zingchart

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 ZingChart and Plotly)
Charting Libraries
36 36%
64% 64
Data Visualization
17 17%
83% 83
Data Dashboard
25 25%
75% 75
Charting Tools And Libraries

User comments

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Reviews

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

ZingChart Reviews

  1. Easy JSON configuration

    Straightforward JSON configuration, documentation & demos make it easy to get started with ZingChart without too much initial overhead, even for entry-level devs. For example, here's how to build an animated line chart in a minute.

    For those looking for more advanced features, ZingChart's API lets devs create interactions, leverage and interact with the chart autonomously, and allows for the extension of chart types. There are quite a few API demos available upon which to base new interactivity or functionality.

    Full disclosure: I work on the ZingSoft team, which includes ZingChart and ZingGrid 🖖🏽

    👍 Pros:    35+ built-in chart types|Mobile-friendly|Dependency-free|Highly customizable|Animation|Large datasets|Integrates with other frameworks
    👎 Cons:    Requires some development knowledge|Data needs to be in json format|Might be overkill for simple or static charts

15 JavaScript Libraries for Creating Beautiful Charts
ZingChart offers a flexible, interactive, fast, scalable and modern product for creating charts quickly. Their product is used by companies like Apple, Microsoft, Adobe, Boeing and Cisco, and uses Ajax, JSON, HTML5 to deliver great-looking charts quickly.
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
ZingChart is a helpful tool for making interactive and responsive charts. This library is fast and flexible, and allows managing big data and generating charts with large amounts of data with ease.
Source: hackernoon.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.
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 seems to be more popular. It has been mentiond 29 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.

ZingChart mentions (0)

We have not tracked any mentions of ZingChart yet. Tracking of ZingChart recommendations started around Mar 2021.

Plotly mentions (29)

  • 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: 5 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
  • Storing your data in a Plotly Dash data dashboard
    Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
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What are some alternatives?

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

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

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.

AnyChart - Award-winning JavaScript charting library & Qlik Sense extensions from a global leader in data visualization! Loved by thousands of happy customers, including over 75% of Fortune 500 companies & over half of the top 1000 software vendors worldwide.

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

ZoomCharts - Creating meaningful and aesthetically pleasing data visualizations and incorporating them into your projects is easy with the tools offered by ZoomCharts.

Google Charts - Interactive charts for browsers and mobile devices.