Software Alternatives, Accelerators & Startups

AnyChart VS Plotly

Compare AnyChart VS Plotly and see what are their differences

AnyChart logo 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.

Plotly logo Plotly

Low-Code Data Apps
  • AnyChart Home Page of AnyChart JS Charts
    Home Page of AnyChart JS Charts //
    2025-03-10

Founded in 2003, AnyChart is one of the global leaders in interactive data visualization, offering award-winning, flexible JavaScript (HTML5) charting libraries with numerous chart types and features, great API & documentation, and enterprise-grade support.

Cross-browser JS charts and graphs, maps, stock charts, and Gantt charts powered by AnyChart have helped thousands of companies including industry leaders — from startups to corporate giants such as AT&T, Bosch, BP, Citi, ExxonMobil, Lockheed Martin, Merck, Novartis, Oracle, Reuters, Samsung, Tencent, UBS, Volkswagen, Yahoo, 3M & many others — gain better insight, make right decisions, and improve their enterprise performance based on robust, insightful data visualization.

Whether you need to enhance your website with better reporting, embed dashboards into your on-premises and SaaS systems, or build an entirely new product, AnyChart covers all your data visualization needs. The company's products include massive out-of-the-box capabilities, combined with flexibility & simplicity.

Loved by thousands of happy customers, including more than 75% of Fortune 500 companies across all industries and over half of the top 1,000 software vendors worldwide.

In 2019, AnyChart launched a technology alliance partnership with Qlik, adding three new product extensions for Qlik Sense. The partnership enables the Qlik community to be provided with more than 30 new chart types and many valuable features natively in the Qlik environment.

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

AnyChart

$ Details
freemium $49.0 / One-off (Next Unicorn license for startups)
Platforms
JavaScript Web Qlik Windows Mac OSX Linux Android iOS TypeScript PHP Google Chrome Safari Opera Firefox Java iPhone Mobile Laravel ReactJS React Native Angular Python Node JS Cross Platform
Release Date
2003 May
Startup details
Country
United States
State
Florida
Founder(s)
Anton Baranchuk
Employees
10 - 19

AnyChart features and specs

  • Chart types
    70+ (bar, line, Gantt, candlestick, waterfall, sunburst...)
  • Data formats
    Multiple (JavaScript API, XML, JSON, CSV, HTML table, Google Sheets...)
  • Integrations
    Seamlessly runs with any language, framework, and database (multiple integration templates are available)
  • Docs
    The documentation and API reference are very detailed and everything is explained in detail in a simple and clear way, with numerous readymade chart samples
  • Browser support
    Supports all browsers, including IE6+ along with mobile browsers
  • Dependencies
    None
  • Product history
    AnyChart has been operating from 2003 and the team is very experienced with a long history of releasing high-quality products.
  • Open source
    The open source code is hosted on GitHub under different licenses depending on the library
  • Flexibility
    Extremely flexible and customizable Any part of a chart can be changed and customized.
  • Interactivity
    Events can be distributed to chart elements which respond to user actions. Event listeners are simple JavaScript functions which are very easy to use and understand

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.

AnyChart videos

Heatmap Chart using AnyChart with Python

More videos:

  • Tutorial - Creating Interactive Charts with AnyChart library for Your Android App
  • Tutorial - How to Create a Gantt Chart in Qlik Sense using AnyGantt Extension by AnyChart

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 AnyChart and Plotly)
Data Dashboard
49 49%
51% 51
Data Visualization
31 31%
69% 69
Charting Libraries
46 46%
54% 54
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 AnyChart and Plotly

AnyChart Reviews

  1. alairedeforest
    Fast, effective charts

    Probably the best JS chart library on the market right now.

    🏁 Competitors: CanvasJS
    👍 Pros:    Extremely simple|Fast|Affordable
    👎 Cons:    Not free

15 JavaScript Libraries for Creating Beautiful Charts
AnyChart is a lightweight and robust JavaScript charting library with charts designed to be embedded and integrated. AnyChart allows you to display 68 charts out-of-the-box and provides features to create your own chart types. You can save a chart as an image in PDF, PNG, JPG or SVG format.
Top 10 Visual Analytics Provider For 2021
AnyChart provides products for those who are slightly well-versed with HTML and JavaScript. Their products provide robust JavaScript charting libraries with APIs, documentation, and enterprise-grade support. Developers can integrate a variety of charts into their mobile, desktops, or web products. Their component is compatible with any database and runs on any platform....
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
AnyChart is a robust, lightweight and feature-rich JS chart library with rendering in SVG/VML. It actually gives web developers a great opportunity to create any different charts that will help to make decisions based on what is seen.
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 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.

AnyChart mentions (0)

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

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 / about 1 month 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 / 3 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 / 5 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 / 11 months 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 AnyChart 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...

Google Charts - Interactive charts for browsers and mobile devices.

FusionCharts - JavaScript charts for web and mobile apps.