Software Alternatives, Accelerators & Startups

Pie Chart Maker VS Plotly

Compare Pie Chart Maker VS Plotly and see what are their differences

Pie Chart Maker logo Pie Chart Maker

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

Plotly logo Plotly

Low-Code Data Apps
  • Pie Chart Maker Home Screen
    Home Screen //
    2025-03-16
  • Pie Chart Maker Donut Pie Chart Maker
    Donut Pie Chart Maker //
    2025-03-16
  • Pie Chart Maker Polar Area Chart Maker
    Polar Area Chart Maker //
    2025-03-16
  • Pie Chart Maker Ring Chart Maker
    Ring Chart Maker //
    2025-03-16

๐ŸŽฏ What Sets PieChartMaker.com Apart? ๐ŸŽจ๐Ÿฅง

๐Ÿš€ Diverse Chart Selection: From classic pies to donuts, rings, and polar areas! ๐Ÿฅฏ๐ŸŽฏ โšก Real-Time Previews: See changes instantly as you tweak your data. ๐Ÿ–Œ๏ธ๐Ÿ‘€ ๐Ÿ“‚ CSV Uploads: Effortlessly import large datasets. ๐Ÿ“Š๐Ÿ“ ๐ŸŽจ Advanced Customization: Adjust colors, fonts, and themes with ease. ๐ŸŒˆโœ๏ธ ๐Ÿ“ค High-Quality Exports: Download in PNG, JPG, or SVG formats. ๐Ÿ–ผ๏ธโฌ‡๏ธ ๐ŸŒ Cross-Device Accessibility: Works seamlessly on desktop, tablet, and mobile. ๐Ÿ“ฑ๐Ÿ’ป

๐ŸŒŸ Your data, your style, your perfect pie chart! ๐Ÿฅงโœจ

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

Pie Chart Maker

Pricing URL
-
$ Details
free
Release Date
2024 December
Startup details
Country
India
State
Maharashtra
City
Pune
Employees
1 - 9

Pie Chart Maker features and specs

  • Variety of Chart Types
    Beyond standard pie charts, it offers options like double, triple, quadruple, multi-series, semi-circular, half, circle, donut, doughnut, polar area, and ring charts, catering to diverse visualization needs.
  • Real-Time Previews
    As you input or modify data, the platform provides instant visual feedback, allowing for efficient adjustments.
  • CSV Data Uploads
    Users can upload CSV files directly, streamlining the process of importing large datasets.
  • Advanced Customization
    The tool allows customization of titles, labels, legends, colors, and fonts. Additionally, it offers theme options that adjust slice colors based on data values, such as gradient shifts or value-based color variations.
  • High-Quality Exports
    Completed charts can be downloaded in high-resolution PNG, JPG, or SVG formats, suitable for various applications.
  • Accessibility
    Being web-based, it operates seamlessly across devices like desktops, tablets, and smartphones, without the need for additional software installations.

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 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.

Pie Chart Maker videos

Pie Chart Maker by Grafi App Review

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 Pie Chart Maker and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
16 16%
84% 84
Charts
100 100%
0% 0
Charting Libraries
0 0%
100% 100

Questions & Answers

As answered by people managing Pie Chart Maker and Plotly.

What makes your product unique?

Pie Chart Maker's answer

Completely FREE! Support for THEMES so that you can create the Pie Chart that matches your existing Content. Apart from JPG, PNG and SVG you can download in multiple aspect rations and sizes.

Why should a person choose your product over its competitors?

Pie Chart Maker's answer

ONE CLICK change from One Pie Chart type to another (Pie, Half Pie, Donut, Ring, Polar Area, etc.). Multiple Pie Chart Sub-Types to chose from. Ability to embedd LIVE interactive charts into your Websites. No longer you need to put in Static Images.

How would you describe the primary audience of your product?

Pie Chart Maker's answer

Students to Enthusiasts to Professionals across domains! Ideal tool for everyone.

Which are the primary technologies used for building your product?

Pie Chart Maker's answer

Microsoft Stack - C#, ASP.NET, CSS, JavaScript

User comments

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Reviews

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

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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 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.

Pie Chart Maker mentions (0)

We have not tracked any mentions of Pie Chart Maker yet. Tracking of Pie Chart Maker recommendations started around Mar 2025.

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
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What are some alternatives?

When comparing Pie Chart Maker and Plotly, you can also consider the following products

PieChartMaker.me - Pie Chart Maker Free. Create a Pie Chart for free with easy to use tool and download the Pie Chart as jpg or png or svg file. Customize according to your choice.

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.

PieChartGenerator.co - Create beautiful pie charts instantly with PieChartGenerator - free online pie chart maker. Customize colors, labels, legends, download as PNG/JPEG/SVG.

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

AECharts - Animated Chart Maker for Presentations and Videos. Export Charts as mp4 Videos in Seconds.

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.