Software Alternatives, Accelerators & Startups

Struct Illustrations VS Plotly

Compare Struct Illustrations VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Struct Illustrations logo Struct Illustrations

Create your own unique story with editable illustrations

Plotly logo Plotly

Low-Code Data Apps
  • Struct Illustrations Landing page
    Landing page //
    2021-10-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Struct Illustrations features and specs

  • High Quality
    Struct Illustrations offers high-quality, professionally designed illustrations that can enhance the visual appeal of websites, applications, and presentations.
  • Customizability
    The illustrations provided are often customizable, allowing users to adjust colors, sizes, and other elements to better fit their specific needs and branding.
  • Consistency
    The illustrations follow a consistent visual style, making it easier to maintain a uniform look across different projects and platforms.
  • Ready-to-Use
    The illustrations are ready-to-use, saving time for designers and developers who might otherwise need to create graphics from scratch.
  • Broad Range of Topics
    The service offers a broad range of topics and scenarios covered, making it easier to find relevant illustrations for diverse use cases.

Possible disadvantages of Struct Illustrations

  • Cost
    While the service offers high-quality illustrations, it may come at a cost that could be a limiting factor for small businesses or individual creators with a tight budget.
  • Limited Free Options
    The number of free illustrations available may be limited, forcing users to opt for a subscription or one-time purchase to access the full range.
  • Dependency
    Relying heavily on a third-party illustration service could make a project dependent on the availability and terms of that service, which could change over time.
  • License Restrictions
    There may be licensing restrictions on how the illustrations can be used, particularly for commercial purposes, which requires careful review of terms and conditions.
  • Learning Curve
    Users unfamiliar with integrating external illustrations into their projects might face a learning curve, particularly if customization is needed.

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.

Struct Illustrations 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 Struct Illustrations and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Illustrations
100 100%
0% 0
Data Dashboard
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 Struct Illustrations and Plotly

Struct Illustrations 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.

Struct Illustrations mentions (0)

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

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

Control Illustrations - 108 free flat illustrations with customizable characters

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.

Craftwork - A collection of User Interface resources made by Craftwork

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

Ouch! Illustrations by Icons8 - Professional, perfectly matching, and customizable illustrations for any designs

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