Software Alternatives, Accelerators & Startups

Plotly VS Image Charts

Compare Plotly VS Image Charts and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Image Charts logo Image Charts

No more pain rendering charts server-side.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Image Charts Landing page
    Landing page //
    2023-05-08

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.

Image Charts features and specs

  • Ease of Use
    Image Charts is user-friendly, allowing non-developers to easily create charts without needing in-depth technical skills.
  • Variety of Chart Types
    It offers a wide selection of chart types, including bar, line, pie, and radar charts, suitable for different data visualization needs.
  • Customization Options
    Provides numerous customization options for colors, sizes, and styles, enabling users to tailor charts to specific requirements.
  • API Access
    Image Charts offers an API, which allows developers to integrate chart generation directly into their applications.
  • No JavaScript Required
    Charts are rendered as images, which means no client-side JavaScript is necessary, ensuring compatibility across various platforms.

Possible disadvantages of Image Charts

  • Static Images
    Charts are generated as static images, which can limit interactivity when compared to dynamic charting libraries.
  • Limited Free Usage
    The free tier comes with usage limits, which may require a subscription for high-volume or advanced use cases.
  • Dependency on External Service
    Reliance on an external service means that chart generation is subject to the availability and performance of Image Charts' servers.
  • Customization Complexity
    While customization options are extensive, it can be complex and overwhelming for users who are not familiar with chart configurations.
  • Security Concerns
    Sending data to an external server for chart generation might raise privacy or data security concerns for some users.

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

Image Charts videos

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

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Category Popularity

0-100% (relative to Plotly and Image Charts)
Data Visualization
88 88%
12% 12
Data Dashboard
88 88%
12% 12
Charting Libraries
87 87%
13% 13
Business Intelligence
100 100%
0% 0

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 Image Charts

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.

Image Charts Reviews

We have no reviews of Image Charts yet.
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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 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
View more

Image Charts mentions (0)

We have not tracked any mentions of Image Charts yet. Tracking of Image Charts recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Image Charts, 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.

Google Charts - Interactive charts for browsers and mobile devices.

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

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

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.