Software Alternatives, Accelerators & Startups
Register | Login

Font Awesome VS Plotly

Compare Font Awesome VS Plotly and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Font Awesome logo 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!

Plotly logo Plotly

Low-Code Data Apps
  • Font Awesome Landing page
    Landing page //
    2023-02-09
  • Plotly Landing page
    Landing page //
    2023-07-31

Font Awesome features and specs

  • Comprehensive Icon Library
    Font Awesome offers a vast collection of icons, providing a wide range of options for different use cases and making it easier for developers to find the perfect icon to fit their needs.
  • Easy Integration
    Font Awesome can be easily integrated into web projects using either a CDN link or by downloading the icon set. This makes it convenient for developers to start using icons quickly without extensive setup.
  • Scalability
    Since Font Awesome icons are vector-based, they are infinitely scalable without losing quality. This ensures that icons look sharp on all devices and screen resolutions.
  • Customizable
    Font Awesome icons can be customized easily with CSS, allowing developers to change colors, sizes, and even create animations to match the design of their projects.
  • Consistent Design
    The icons in Font Awesome are designed to be consistent with each other in terms of style, line weight, and aesthetic, which helps in maintaining a uniform look across a web project.
  • Accessibility
    Font Awesome includes ARIA attributes and support for screen readers, ensuring that icons can be interpreted correctly by assistive technologies for better accessibility.

Possible disadvantages of Font Awesome

  • File Size
    Font Awesome can add substantial size to web projects, particularly if the entire library is imported. This can slow down load times, especially on mobile devices or slower internet connections.
  • Dependence on External Resources
    Using a CDN for Font Awesome can create a dependency on external resources. If the CDN is down or blocked, the icons will not display correctly.
  • License Fees
    While Font Awesome offers a free version, the Pro version with more icons and features requires a subscription. This can be a limitation for projects with tight budgets.
  • Overhead for Simple Projects
    For small projects that only require a few icons, using Font Awesome can be overkill. The overhead of including the entire library may not be justified when only a handful of icons are needed.
  • Potential for Version Conflicts
    Using Font Awesome alongside other libraries or different versions of Font Awesome can sometimes lead to conflicts, resulting in icons not displaying correctly or styling issues.
  • Limited to Available Icons
    Despite its large collection, users are restricted to the icons available in Font Awesome. Custom or niche icons that aren't included in the library will need to be sourced or created elsewhere.

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.

Font Awesome videos

+ Add

Star Ratings With JavaScript & Font Awesome

More videos:

  • Review - Add Font Awesome Icons to our Buttons, freeCodeCamp Bootstrap Review, lesson 13
  • Review - Add Font Awesome Icons to all of our Buttons, freeCodeCamp Bootstrap Review, lesson 14

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 Font Awesome and Plotly)

Font Awesome

Plotly

Web Icons
100 100%
Web Icons
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Vector Icons
100 100%
Vector Icons
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Font Awesome and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Font Awesome and Plotly

Font Awesome Reviews

Revolutionize Your Icon Collection: 5 CSS Icon Sites to Boost Your Web Designs
Font Awesome is one of the most comprehensive libraries of CSS icons available, with over 1,500 scalable vector icons that can be customized using CSS classes.
Source: bootcamp.uxdesign.cc
7 Best Free Icon Libraries
While Font Awesome was a font-based asset library i.e font icon library, Bootstrap chose to use SVG-based icons. At this time, Bootstrap Icons consists of over 1,000 ready-to-use library icons in the alpha version.
Source: www.atatus.com
The Best Free And Paid Icon Fonts - Font Awesome Alternatives
On the Internet, you can easily find many services that give everyone thousands of beautiful icons for free or for a fee. With their help, you can design a website or a page on a social network. There are many alternatives to Font Awesome, but, unfortunately, there are few Russian-language sites. Although, even without translation, it is clear how to find the desired icon...
Source: www.wcido.com
9 FontAwesome Alternatives That Are Equally As Good
FontAwesome is by far one of the most popular source for font icons, with a huge collection of icons. But it is highly unnecessary to download the whole collection when you need to use just a few.
Source: www.hongkiat.com
10 Best Fontello Alternatives 2021
Similar to other vector makers and Fontello, you can use Font Awesome to create custom icons of your own using a variety of colors, shapes, and font styles. When you’re done, you can share your newly minted icons with others or save them directly on your computer.
Source: rigorousthemes.com

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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Font Awesome should be more popular than Plotly. It has been mentiond 130 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.

Font Awesome mentions (130)

View more

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
View more

What are some alternatives?

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

Flaticon - A database of free vector icons.

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.

The Noun Project - Creating, Sharing and Celebrating the World's Visual Language

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

Icons8 - Free app for Mac & Windows already containing 39,800 icons. Allows to search and import icons…

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

Loading...