Software Alternatives, Accelerators & Startups

Plotly VS Iconbuddy

Compare Plotly VS Iconbuddy 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.

Plotly logo Plotly

Low-Code Data Apps

Iconbuddy logo Iconbuddy

200K+ open source SVG icons, fully customizable!
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Iconbuddy Landing page
    Landing page //
    2023-09-16

Iconbuddy is a search engine that allows you to search, download, customize, and edit over 180,000 open source icons. It offers a wide selection of SVG, PNG, WEBP, JSX, VUE, BASE64, URLs, CSS snippets, and HTML image tags.

Iconbuddy

Pricing URL
-
$ Details
freemium $89.0 / One-off
Platforms
Figma VS Code Extension
Release Date
2023 July

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.

Iconbuddy features and specs

  • Extensive Icon Library
    Iconbuddy offers a vast collection of icons, providing users with a wide array of options to choose from for various design projects.
  • User-Friendly Interface
    The platform is designed with ease of use in mind, allowing users to easily search for and customize icons without any hassle.
  • High-Quality Vector Icons
    All icons available on Iconbuddy are high-quality vectors, ensuring that they can be scaled to any size without losing clarity.
  • Regular Updates
    The platform is regularly updated with new icons and features, keeping the resource fresh and up to date with design trends.

Possible disadvantages of Iconbuddy

  • Subscription Cost
    While Iconbuddy offers a free tier, access to all features and icons requires a subscription, which might not be feasible for all users.
  • Limited Free Access
    The free version of Iconbuddy provides limited access to icons, which may not be sufficient for users who require a broader range of options.
  • Internet Dependency
    Iconbuddy is an online platform, meaning users need an internet connection to access the full range of icons and features.
  • License Restrictions
    There may be specific licensing requirements for using certain icons, which users must adhere to, potentially complicating usage for commercial projects.

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.

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

Iconbuddy videos

Iconbuddy

Category Popularity

0-100% (relative to Plotly and Iconbuddy)
Data Visualization
100 100%
0% 0
Design Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Vector Icons
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 Iconbuddy

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 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.

Iconbuddy Reviews

We have no reviews of Iconbuddy yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Iconbuddy. While we know about 34 links to Plotly, we've tracked only 2 mentions of Iconbuddy. 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 (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

Iconbuddy mentions (2)

  • My boring icon search website making $4k per month
    Hi, My name is Danish(b. 1992, India) is an Entrepreneur & building things for the Internet since 2012. 6 months back I acquire a project with $0 revenue, no traffic, but I like the idea and I believe that this will fun to work on that. So, I had no idea how to make money with this icon search website. I can't sell these icons because these are open source. So, I just keep the website free and launch on some... - Source: Hacker News / over 2 years ago
  • 180k+ Open Source Free Icons
    Go and checkout here โ†’ https://iconbuddy.app. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing Plotly and Iconbuddy, 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.

Phosphor Icons - Phosphor is a flexible icon family for interfaces, diagrams, presentations โ€” whatever, really.

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

Streamline - Streamline is a web-based vacation rental software that manages vacation rental properties with flipkey integration, online booking, lead management, credit card processing, etc.

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.

Font Awesome - Font Awesome makes it easy to add vector icons and social logos to your website. And version 5 is redesigned and built from the ground up!