Software Alternatives, Accelerators & Startups

Plotly VS AECharts

Compare Plotly VS AECharts and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

AECharts logo AECharts

Animated Chart Maker for Presentations and Videos. Export Charts as mp4 Videos in Seconds.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • AECharts
    Image date //
    2026-04-26

AECharts is a web-based tool for creating animated chart videos. Users paste or upload data, choose a template, customize the styling, and export a polished MP4 โ€” no video editing software or design skills required.
The workflow is simple: bring in your data via paste, CSV, Excel, or Google Sheets. AECharts parses it automatically. Select a chart type and template, customize colors, fonts, labels, and animation speed in a live-preview editor. When you're done, export a full MP4 video ready for presentations, social media, or reports.

Chart types include: - Vertical and horizontal bar charts for category comparisons - Line charts for time-series trends - Pie charts for part-to-whole relationships - Bar race charts for animated rankings over time - Gauge, waffle, and Sankey diagrams for specialized use cases

The rendering engine is built on PixiJS (WebGL) and GSAP animations, producing smooth, high-quality output. Templates are designed to follow data visualization best practices out of the box.

User accounts are backed by Firebase with automatic cloud saving โ€” no save button, no lost work. Your file library persists across sessions with full edit history.

AECharts is built for marketers, founders, journalists, and content creators who want to turn data into compelling visual stories without the overhead of motion graphics tools. Where Datawrapper and Flourish made static charts accessible to non-designers, AECharts does the same for animated video.

AECharts

$ Details
freemium $19.0 / Monthly (Pro)
Platforms
Web
Release Date
2026 January
Startup details
Country
India
State
Karnataka
City
Bangalore
Founder(s)
Avinash Panneerselvam
Employees
1 - 9

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.

AECharts features and specs

  • Interactive Features
    AECharts provides a variety of interactive chart features, such as zooming, panning, and tooltips, enhancing user engagement and data exploration.
  • Customizability
    The library offers extensive customization options, allowing developers to tailor charts to fit specific visual and functional requirements.
  • Wide Range of Chart Types
    AECharts supports numerous chart types, including bar, line, area, scatter, and pie charts, making it suitable for diverse data visualization needs.
  • Responsive Design
    Charts created with AECharts are responsive and adapt well to different screen sizes, ensuring a good user experience across devices.
  • Easy Integration
    The library can be easily integrated into web applications and works well with popular frameworks, speeding up the development process.

Possible disadvantages of AECharts

  • Learning Curve
    Due to its extensive feature set, newcomers to AECharts may face a steep learning curve to fully utilize its capabilities.
  • Performance Overheads
    Complex charts with a large amount of data might suffer from performance issues, affecting the responsiveness and smoothness of interactions.
  • Documentation Limitations
    Some users may find the documentation lacking in depth, which can make it challenging to troubleshoot issues or implement advanced customizations.
  • Limited Community Support
    Compared to more established charting libraries, AECharts might have a smaller community, potentially leading to fewer third-party resources and plugins.

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.

Analysis of AECharts

Overall verdict

  • AECharts appears to be a capable data visualization and charting solution that helps users create interactive charts and dashboards, though prospective users should verify current features and pricing directly on the official site.

Why this product is good

  • Offers a range of chart types for visualizing data in interactive and customizable ways
  • Designed to simplify the process of building dashboards and reports without heavy coding
  • Typically supports integration with various data sources for real-time insights
  • Focus on user-friendly design can lower the barrier to entry for non-technical users

Recommended for

  • Data analysts and business intelligence teams needing quick visualizations
  • Developers seeking embeddable charting components for web applications
  • Small to medium businesses wanting affordable dashboard and reporting tools
  • Educators and students exploring data visualization concepts

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

AECharts videos

No AECharts videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and AECharts)
Data Visualization
91 91%
9% 9
Charting Libraries
100 100%
0% 0
Charts
0 0%
100% 100
Data Dashboard
100 100%
0% 0

Questions & Answers

As answered by people managing Plotly and AECharts.

What makes your product unique?

AECharts's answer:

AECharts is unique because it turns raw data into ready-to-share animated chart videos in seconds.

Upload CSV or paste data โ†’ get MP4/WebM charts instantly

Built for video, not dashboards. Perfect for Reels, TikTok, YouTube, slides

Fully customizable charts: colors, labels, axes, animations

No After Effects, no templates, no design skills needed

Exports lightweight videos optimized for social and web

Runs in the browser. No installs. No login required

Made for creators, journalists, marketers, and analysts who need visual data fast

Most chart tools make images. AECharts makes motion.

Why should a person choose your product over its competitors?

AECharts's answer:

Choose AECharts over competitors because itโ€™s the fastest way to turn data into shareable animated visuals with zero design work.

Video-first output: Unlike static chart tools, AECharts generates MP4/WebM animations ready for social platforms and presentations.

No software to install: Works entirely in the browser โ€” no plugins, downloads, or steep learning curves.

Auto smart layouts: Automatically positions labels, colors, and axes so charts look polished without tweaking.

Speed and simplicity: Seconds from data to video versus hours in traditional design tools.

Custom branding: Easy control of fonts, colors, transitions to match your style.

Lightweight exports: Optimized video files for web, mobile, and social engagement.

In short: AECharts delivers animated, on-brand data visuals faster and easier than any alternative.

How would you describe the primary audience of your product?

AECharts's answer:

People who need data to work on video.

Content creators making Reels, TikToks, YouTube, Shorts

Journalists and media pages posting data stories

Marketers creating social ads and explainer videos

Analysts who want charts that move, not just screenshots

They care about speed, shareability, and visual impact, not dashboards or BI tools.

User comments

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Reviews

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

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.

AECharts Reviews

We have no reviews of AECharts yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
  • 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 / over 1 year 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 / over 1 year 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 / over 1 year 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 2 years ago
View more

AECharts mentions (0)

We have not tracked any mentions of AECharts yet. Tracking of AECharts recommendations started around Jan 2026.

What are some alternatives?

When comparing Plotly and AECharts, 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.

Flourish - Powerful, beautiful, easy data visualisation

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

Pie Chart Maker - Craft stunning, customizable pie charts in a snap! - PieChartMaker

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

LivingCharts - Create animated charts and turn your data into engaging videos without coding.