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unDraw VS Plotly

Compare unDraw VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

unDraw logo unDraw

Open-source illustrations for every project you can imagine and create.

Plotly logo Plotly

Low-Code Data Apps
  • unDraw Landing page
    Landing page //
    2021-09-26
  • Plotly Landing page
    Landing page //
    2023-07-31

unDraw features and specs

  • Free to Use
    unDraw offers a wide range of illustrations for free, making it accessible for anyone without budget constraints.
  • Customizable Colors
    Users can easily change the color of any illustration to match their brand's color palette.
  • No Attribution Required
    The platform allows users to utilize the illustrations without the need to give credit, which is great for commercial projects.
  • High Quality
    The illustrations are of high quality, professional, and modern, making them suitable for various applications.
  • Broad Range of Topics
    unDraw covers a wide array of categories and topics, making it easier to find relevant illustrations.
  • Ease of Use
    The website interface is user-friendly, allowing for quick searches and easy downloads of illustrations.

Possible disadvantages of unDraw

  • Limited Styles
    Although high-quality, the illustrations have a uniform style, which might not fit every brand's aesthetic.
  • No Custom Illustrations
    Users cannot request custom illustrations directly from the platform, limiting personalized options.
  • Dependence on Updates
    Users rely on the platform to update and add new illustrations periodically, which may not always meet evolving trends or needs.
  • No Source Files
    Illustrations are only available in SVG format, which might be limiting for more advanced design modifications requiring source files.
  • Requires Internet Access
    An active internet connection is required to browse and download illustrations, which may not be convenient for all users.

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 unDraw

Overall verdict

  • unDraw is a highly recommended resource for individuals and teams looking for high-quality illustrations. Its combination of ease of use, free licensing, and a wide variety of illustrations makes it a valuable tool for many creatives and developers.

Why this product is good

  • unDraw is a platform that offers a wide range of open-source illustrations that are customizable and can be used in various projects without any attribution or cost. It is praised for its beautiful, modern, and versatile designs that can enhance the visual appeal of websites, applications, and presentations. Additionally, the illustrations are SVG-based, making them easily scalable and editable to fit the needs of any project.

Recommended for

  • Web designers looking to incorporate visually appealing illustrations
  • Developers needing scalable graphics for projects
  • Marketing teams creating visually rich presentations
  • Content creators who want graphics that can be customized to match their brand's style
  • Educators needing visual aids for teaching materials

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.

unDraw videos

+ Add

Adobe XD Landing Page Design Tutorial with unDraw

More videos:

  • Review - UnDraw - Free Illustrations for Designers and Developers

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

Category Popularity

0-100% (relative to unDraw and Plotly)

unDraw

Plotly

Design Tools
100 100%
Design Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Illustrations
100 100%
Illustrations
0% 0
Charting Libraries
0 0%
Charting Libraries
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 unDraw and Plotly

unDraw Reviews

We have no reviews of unDraw yet.
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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.
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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, unDraw should be more popular than Plotly. It has been mentiond 71 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.

unDraw mentions (71)

View more

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 / 4 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
View more

What are some alternatives?

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

Getillustrations - Bring life to your designs while saving time and effort using this massive library of creative illustrations.

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.

Unsplash - Unsplash is a website with high-quality free HD images. It has a catalog of more than three hundred thousand striking images that are neatly organized with tags. Read more about Unsplash.

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

Iconbuddy - 200K+ open source SVG icons, fully customizable!

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.

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