Software Alternatives & Startups

Plotly VS UIKit

Compare Plotly VS UIKit and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

UIKit logo UIKit

A lightweight and modular front-end framework for developing fast and powerful web interfaces
  • Plotly Landing page
    Landing page //
    2023-07-31
  • UIKit Landing page
    Landing page //
    2023-07-24

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.

UIKit features and specs

  • Modularity
    UIKit is highly modular, allowing developers to include only the components they need. This can lead to more efficient and faster loading webpages.
  • Extensive Documentation
    The framework comes with extensive and well-detailed documentation, making it easier for developers to get started and effectively utilize components.
  • Responsive Design
    UIKit is designed with responsiveness in mind, offering a sleek user experience across different screen sizes and devices.
  • Customization
    UIKit allows for deep customization through its LESS and SCSS files, enabling developers to modify the framework according to their needs.
  • Active Community
    There is an active community which leads to consistent updates and a wealth of shared resources and plugins.

Possible disadvantages of UIKit

  • Learning Curve
    For beginners, UIKit can be complex and might require a learning curve to become proficient in its use.
  • Limited Third-Party Integrations
    Compared to more mature frameworks like Bootstrap, UIKit may offer fewer third-party integrations and plugins.
  • Potential Overhead
    Including too many unnecessary components can add to the overhead, resulting in slower load times if not managed properly.
  • Inconsistencies Across Browsers
    Occasional inconsistencies may be noted across different browsers, which may require additional effort to resolve.
  • Less Recognition
    UIKit is not as commonly recognized as some other frameworks, which may lead to challenges in finding developers experienced with it.

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 UIKit

Overall verdict

  • Yes, UIKit is considered a good choice for web developers looking to build modern, responsive, and aesthetically pleasing applications with a focus on customization and modularity.

Why this product is good

  • UIKit is a front-end framework that is well-regarded for its modularity, flexibility, and comprehensive set of components. It offers a consistent and clean design system, making it easy for developers to build responsive and engaging web interfaces. Additionally, UIKit provides customization options that allow developers to create unique designs while maintaining a cohesive look and feel. The framework includes a comprehensive documentation, which helps in ease of use and implementation.

Recommended for

    UIKit is recommended for developers who need a flexible and modular framework for building user interfaces, especially those who prefer a clean design system and extensive component library. It is suitable for beginners due to its comprehensible documentation and also for experienced developers looking to streamline their workflow with a reliable front-end framework.

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

UIKit videos

Should I Learn SwiftUI instead of UIKit?

More videos:

  • Review - SwiftUI vs UIKit – Comparison of building the same app in each framework

Category Popularity

0-100% (relative to Plotly and UIKit)
Data Visualization
100 100%
0% 0
CSS Framework
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Design Tools
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 UIKit

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.

UIKit Reviews

22 Best Bootstrap Alternatives & What Each Is Best For
UIkit includes an extensive collection of HTML, CSS, and JS components, all easy to use and customizable. Features include a responsive grid system, navigation components, form elements, and more. Though UIkit does not offer explicit integrations, its modular nature means it can be easily incorporated into many different web development workflows and tools.
Source: thectoclub.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
One of the advantages of UIKit is that it offers a wide range of UI components, even more than Bootstrap. It also includes unique components like Totop, Thumbnav, and more. Considering its rich set of resources, UIKit can be regarded as an ideal alternative to Bootstrap.
Source: coursesity.com
Top 10 Best CSS Frameworks for Front-End Developers in 2022
UI Kit has a comprehensive collection of CSS, HTML, and JS components. It is modular and lightweight. Used for iOS application development, UIKit is one of the bestfront-end CSS frameworks.
Source: hackr.io
10 of the Best Bootstrap Alternatives
UIKit offers an easy approach to developing sophisticated web interfaces. It’s a modular front-end framework that can be used with HTML or JavaScript. With this structure, you may quickly create your web layouts with ease. This structure is perfect for laying out your website. When compared to Bootstrap, this framework offers more UI components. It also includes oddity parts...
Best CSS Frameworks in 2019
Our fourth framework to consider is UIkit. UIkit is “a lightweight and modular front-end framework for developing fast and powerful web interfaces” (UIkit). The framework comes with built-in animations, is customizable and has out-of-the-box designs.

Social recommendations and mentions

Based on our record, Plotly should be more popular than UIKit. It has been mentiond 34 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.

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 / 6 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!🤓
    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 / almost 2 years 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

UIKit mentions (22)

  • 100+ Must-Have Web Development Resources
    UIkit: A lightweight and modular front-end framework. - Source: dev.to / almost 2 years ago
  • Building UIs with Franken UI, a Shadcn alternative
    Franken UI is compatible with UIkit 3 and can work as a standalone CSS framework but can be integrated with Tailwind CSS for faster styling and customization. The design of Franken UI is influenced by shadcn/ui. It aims to provide a solution to developers who are not comfortable using React, Vue, or Svelte by leveraging UIkit for JavaScript and accessibility. - Source: dev.to / about 2 years ago
  • SwiftUI vs. UIKit: What is the best choice for building an iOS user interface in 2024?
    As an iOS engineer, you've likely encountered SwiftUI and UIkit, two popular tools for building iOS user interfaces. SwiftUI is the new cool kid on the block, providing a clean way to build iOS screens, while UIkit is the older and more traditional way to build screens for iOS. SwiftUI uses a declarative style where you describe how the UI should look, similar to Jetpack Compose in Android. UIkit, on the other... - Source: dev.to / over 2 years ago
  • How To Build a Web Application with HTMX and Go
    All that's left is adding a little style. I won't claim to be a frontend engineer or a UI designer, so I just used UIKit to easily add modern-looking style to the HTML table and buttons. As mentioned throughout the article, the CSS classes and other small details are excluded since they are not directly relevant to the tutorial. See the full example on GitHub to try running it for yourself. - Source: dev.to / over 2 years ago
  • On the search for a truly "good" UI framework.
    Can try UIKIT out if you're looking around, I've used it solely for some quick slider stuff in certain projects and use it fully in others. The docs are pretty good and they have a discord community that's fairly active. Source: about 3 years ago
View more

What are some alternatives?

When comparing Plotly and UIKit, 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.

Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions

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

Semantic UI - A UI Component library implemented using a set of specifications designed around natural language

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.

Foundation - The most advanced responsive front-end framework in the world