Software Alternatives, Accelerators & Startups

ChartURL VS Plotly

Compare ChartURL VS Plotly and see what are their differences

ChartURL logo ChartURL

Add rich, data-driven charts to web & mobile apps, Slack bots, and emails. Send us data, and we return an image that renders perfectly on all platforms.

Plotly logo Plotly

Low-Code Data Apps
  • ChartURL Landing page
    Landing page //
    2022-12-18
  • Plotly Landing page
    Landing page //
    2023-07-31

ChartURL features and specs

  • Ease of Use
    ChartURL allows users to easily generate charts by passing parameters via URL, which makes it accessible for those who may not have advanced programming skills.
  • Wide Range of Chart Types
    It supports a variety of chart types, including bar, line, pie, and more specialized options, providing flexibility for different data visualization needs.
  • Integration with Web Applications
    ChartURL can be easily integrated into web applications, allowing dynamic chart generation on the fly, which is beneficial for web developers.
  • No Need for Local Hosting
    Charts are generated on the server side, removing the need for users to host any charting libraries locally.

Possible disadvantages of ChartURL

  • Limited Customization
    While ChartURL offers a number of options, it might not provide the same level of customization as more advanced charting libraries like D3.js or Chart.js.
  • Dependency on Internet Connectivity
    As a web-based service, it requires a stable internet connection for chart rendering, which might not be ideal for offline applications.
  • Potential URL Length Limitations
    Since the chart is generated via URL parameters, there might be limitations on data size due to URL length restrictions.
  • Scalability Concerns
    For applications requiring extensive charting or high traffic, relying on a third-party service could pose scalability and performance issues.

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.

ChartURL videos

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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 ChartURL and Plotly)
Charting Libraries
21 21%
79% 79
Data Visualization
15 15%
85% 85
Data Dashboard
18 18%
82% 82
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 ChartURL and Plotly

ChartURL Reviews

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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 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.

ChartURL mentions (0)

We have not tracked any mentions of ChartURL yet. Tracking of ChartURL 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
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What are some alternatives?

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

Google Charts - Interactive charts for browsers and mobile devices.

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

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

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.

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