Software Alternatives, Accelerators & Startups

amCharts VS Plotly

Compare amCharts VS Plotly and see what are their differences

This page does not exist

amCharts logo amCharts

Advanced javascript charting library that will suit any data visualization need

Plotly logo Plotly

Low-Code Data Apps
  • amCharts Landing page
    Landing page //
    2023-05-09
  • Plotly Landing page
    Landing page //
    2023-07-31

amCharts features and specs

  • Comprehensive Feature Set
    amCharts offers a wide range of chart types and features, including line charts, bar charts, area charts, and advanced ones like geographical maps and time-series charts.
  • Ease of Use
    The library provides a user-friendly API, making it easier for developers to create and customize charts without extensive coding.
  • Customizability
    amCharts allows a high degree of customization, letting developers tweak almost every aspect of the charts, including colors, labels, and interactivity options.
  • Responsive Design
    Charts created with amCharts are responsive, automatically adjusting to different screen sizes and resolutions.
  • Interactive Elements
    amCharts supports interactive elements like tooltips, drill-downs, and animations which enhance user engagement and data exploration.
  • Extensive Documentation
    The library comes with detailed documentation and a variety of tutorials and samples, making it easier for new users to get started quickly.
  • Community and Support
    There is an active community and official support available, providing assistance through forums and direct support channels.
  • Export Capability
    amCharts provides exporting options, allowing users to export charts as images, PDFs, or data files.

Possible disadvantages of amCharts

  • Cost
    While amCharts offers a free version, the more advanced features and commercial usage require a paid license, which may not be suitable for all budgets.
  • Learning Curve
    Despite an intuitive API, the vast array of customization options can present a steep learning curve for new users.
  • Performance
    For extremely large datasets, the performance might lag compared to some other specialized charting libraries, which could be critical in data-intensive applications.
  • File Size
    Due to its extensive feature set, the library's file size can be relatively large, which might impact the load time of webpages.
  • Dependency on External Libraries
    Certain functionalities in amCharts may depend on additional external libraries, which could complicate the setup process.
  • Browser Compatibility
    While generally good, there may be occasional compatibility issues with older or less common browsers.
  • Complexity for Simple Charts
    For developers needing only simple charts, amCharts might be overkill and thus add unnecessary complexity.

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 amCharts

Overall verdict

  • Yes, amCharts is generally considered a good option for data visualization, particularly due to its ease of use, customization capabilities, and extensive support resources. Many users appreciate its intuitive API and the ability to create visually appealing and interactive charts and dashboards without much hassle.

Why this product is good

  • amCharts is a popular choice for creating interactive charts and maps. It offers a wide range of chart types, from simple ones like line and bar charts to more complex types such as spatial maps and gauges. The library is highly customizable and provides extensive documentation along with examples, making it accessible for both beginners and experienced developers. Additionally, amCharts supports real-time data updates and is compatible with various frameworks and platforms, enhancing its versatility.

Recommended for

    amCharts is recommended for web developers and data analysts who need to present data in a visually compelling way on web applications. It is particularly useful for businesses and organizations requiring interactive and dynamic charting capabilities, such as those in financial analysis, marketing analytics, and scientific research.

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.

amCharts videos

Amcharts 4 Line Chart in ASP.NET MVC

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 amCharts and Plotly)
Data Visualization
22 22%
78% 78
Data Dashboard
26 26%
74% 74
Charting Libraries
28 28%
72% 72
Javascript UI Libraries
100 100%
0% 0

User comments

Share your experience with using amCharts and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

amCharts Reviews

Top 10 JavaScript Charting Libraries for Every Data Visualization Need
amCharts is one of the JavaScript charting libraries that are helpful when you need a simple, and at the same time, flexible data visualization solution.
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 thatโ€™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.

amCharts mentions (0)

We have not tracked any mentions of amCharts yet. Tracking of amCharts 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 / 6 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 / 8 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / 10 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 / over 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: almost 2 years ago
View more

What are some alternatives?

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

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.

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

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

Google Charts - Interactive charts for browsers and mobile devices.

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

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.