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Plotly VS SnappyCharts

Compare Plotly VS SnappyCharts and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

SnappyCharts logo SnappyCharts

Create stunning charts in minutes. No coding needed.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • SnappyCharts Homepage
    Homepage //
    2025-04-18
  • SnappyCharts Chart Tool
    Chart Tool //
    2025-04-18

Create stunning, customizable charts online—no coding needed! Export as high-quality images or embed responsive, interactive charts on your website. AI-powered data helper included for pro accounts. Effortless data visualization for everyone!

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

SnappyCharts

Website
snappycharts.com
Pricing URL
Official SnappyCharts Pricing
$ Details
freemium $10.0 / Monthly
Platforms
Web
Release Date
2025 April
Startup details
Country
United States
State
MN
City
Eden Prairie
Founder(s)
Kyle Larson
Employees
1 - 9
Edit details

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.

SnappyCharts features and specs

  • No Coding Needed
    Use our simple chart builder to select a chart, enter or import your data, and choose your settings.
  • Embed Responsive Charts
    Most charts embedded from other services don't resize for different devices. Our charts do this automatically.
  • Highly Customizable
    Choose from bar, line, pie, and doughnut charts. Customize colors with ease using our pre-set palettes or create your own.
  • Share Your Charts Anywhere
    Export high-quality images for presentations, documents, or emails. Embed interactive versions on your website – no tech skills required.
  • Save and Edit Anytime
    Your charts are securely saved, to update or adjust whenever you need. Your data visualizations evolve as your data changes.
  • Create Charts with AI
    Harness the power of AI to generate data for your charts. Transform your ideas into data-driven stories with just a single prompt.

Plotly videos

+ Add

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

SnappyCharts videos

+ Add

SnappyCharts Demo

Category Popularity

0-100% (relative to Plotly and SnappyCharts)

Plotly

SnappyCharts

Data Visualization
88 88%
Data Visualization
12% 12
Data Dashboard
100 100%
Data Dashboard
0% 0
Charting Libraries
85 85%
Charting Libraries
15% 15
Charting Tools And Libraries
0 0%
Charting Tools And Libraries
100% 100

User comments

Share your experience with using Plotly and SnappyCharts. For example, how are they different and which one is better?
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Reviews

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

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

SnappyCharts Reviews

We have no reviews of SnappyCharts yet.
Be the first one to post

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.

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 2 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 / 4 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 / 6 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

SnappyCharts mentions (0)

We have not tracked any mentions of SnappyCharts yet. Tracking of SnappyCharts recommendations started around Apr 2025.

What are some alternatives?

When comparing Plotly and SnappyCharts, 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 Maker Pro - Chart Maker Pro is an incredible software that allows users to create charts and graphs in a meaningful way.

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

Line Graph Maker - Create a line graph for free with easy to use tools and download the line graph as jpg or png file.

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

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

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