Software Alternatives, Accelerators & Startups

Plotly VS IMG.LY

Compare Plotly VS IMG.LY and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

IMG.LY logo IMG.LY

Power Your Apps with IMG.LY | The Leading Provider of Design, Photo, and Video Editing SDKs
  • Plotly Landing page
    Landing page //
    2023-07-31
  • IMG.LY Landing page
    Landing page //
    2023-04-18

IMG.LY offers a range of SDKs for design, photo, and video editing, powerful visual content creation tools that seamlessly integrate into applications across different industries and use cases. IMG.LY SDK is the perfect fit for print, Digital Asset Management, Marketing Tech, and social media sectors, to name a few.

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.

IMG.LY features and specs

  • Powerful Editing Capabilities
    IMG.LY offers a wide range of advanced photo editing tools, including filters, effects, overlays, and customizable adjustments, making it suitable for both beginners and professionals.
  • User-Friendly Interface
    The platform is designed with an intuitive and easy-to-navigate interface, allowing users to quickly get the hang of its functionalities without a steep learning curve.
  • Integration and API Support
    IMG.LY provides robust API support which allows developers to integrate the photo editing tools into various web and mobile applications, enhancing the versatility of the platform.
  • Cross-Platform Compatibility
    The tool supports multiple platforms, including web, iOS, and Android, ensuring that users can access and use it no matter what device they are on.
  • Frequent Updates
    Regular updates and new feature additions keep the platform current and competitive, ensuring users have access to the latest editing tools and technologies.

Possible disadvantages of IMG.LY

  • Cost
    While IMG.LY offers a lot of features, it can be expensive compared to other photo editing solutions available in the market, particularly for smaller businesses or individual users.
  • Learning Curve for Advanced Features
    Although the basic tools are easy to use, mastering the more advanced features might require additional time and effort, particularly for novices.
  • Internet Reliance
    A stable internet connection is required to use IMG.LY to its full potential, which can be a drawback for users in areas with inconsistent connectivity.
  • Potential Overwhelm
    The extensive range of tools and options available might overwhelm some users, making it harder for them to find the specific features they need without proper guidance.
  • Limited Offline Functionality
    The need for an internet connection limits the usage of some of the tool's features offline, which can be inconvenient for users who need to edit photos on the go.

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 IMG.LY

Overall verdict

  • IMG.LY is generally considered a good choice for those who need robust and flexible tools for visual content management and enhancement. With strong offerings in both mobile and web platforms and a solid reputation within the industry, they are a reliable partner for developers and creators looking to improve their media production workflows.

Why this product is good

  • IMG.LY is known for its versatile tools and products for enhancing visual content. They provide reliable APIs and SDKs that are used for photo editing, graphics creation, and visual design. Their solutions are trusted by a wide array of developers and organizations due to their ease of integration, comprehensive feature set, and high performance. Additionally, the company often updates its offerings to stay current with industry trends and technological advancements, making it a preferred choice for many looking to enhance their digital media capabilities.

Recommended for

  • Developers seeking a powerful photo editing API
  • Companies that need integrated graphics creation solutions
  • Design teams looking for easy-to-use design tools
  • Media companies aiming to enhance their visual content offerings
  • Startups building applications that require sophisticated image processing capabilities

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

IMG.LY videos

PhotoEditor SDK - HTML5 SDK - v5

Category Popularity

0-100% (relative to Plotly and IMG.LY)
Data Visualization
100 100%
0% 0
Design Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Photos & Graphics
0 0%
100% 100

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 IMG.LY

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.

IMG.LY Reviews

We have no reviews of IMG.LY yet.
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Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than IMG.LY. While we know about 33 links to Plotly, we've tracked only 2 mentions of IMG.LY. 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 / 3 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 / 5 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 / 7 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 / about 1 year 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

IMG.LY mentions (2)

  • Anyone using WASM in their Job?
    We are using it currently at spline.design, we handle almost all geometry calculations there. And we were using WASM in my previous company img.ly the CreativeEditorSDK is basically everything on wasm, even the text editing and so. Was a very cool project to work on. Source: over 3 years ago
  • EnTT v3.9.0 is out: Gaming meets Modern C++
    Special thanks to the Microsoft Mojang Studios for the opportunity they gave me, as well as img.ly for actively supporting the development of EnTT. Source: over 3 years ago

What are some alternatives?

When comparing Plotly and IMG.LY, 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.

Polarr Photo Editor 3 - The most powerful photo editor in the web.

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

ClippingMagic.com - Remove image backgrounds online. Make backgrounds transparent, white, etc. Edit, crop, rotate, fix colors, add shadows, all you need for great photos!

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

Bg Eraser - Background Eraser on Mac and Windows.