Software Alternatives, Accelerators & Startups

Plotly VS Bootstrap

Compare Plotly VS Bootstrap and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Bootstrap logo Bootstrap

Simple and flexible HTML, CSS, and JS for popular UI components and interactions
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Bootstrap Landing page
    Landing page //
    2023-04-22

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.

Bootstrap features and specs

  • Responsive Design
    Bootstrap's grid system ensures that webpages are responsive and adapt to different screen sizes seamlessly.
  • Pre-designed Components
    Bootstrap comes with a variety of pre-designed components like buttons, forms, modals, and navigation bars that streamline the development process.
  • Cross-browser Compatibility
    Bootstrap ensures that your website will function correctly across different browsers, reducing the time spent on debugging issues related to browser inconsistencies.
  • Extensive Documentation
    The documentation is comprehensive and well-organized, making it easier for developers to understand and implement Bootstrap features quickly.
  • Community Support
    With a large and active community, finding help and resources related to Bootstrap development is relatively easy.
  • Customizable
    Bootstrap allows you to customize the default styles and components using Sass variables, making it adaptable to any project needs.
  • CDN Support
    Bootstrap can be included via Content Delivery Networks (CDN), which can help to speed up the initial load time of your web pages.

Possible disadvantages of Bootstrap

  • Uniform Look
    Websites built with Bootstrap often look similar because many developers use the default styles and components without customization.
  • Overhead
    Including the entire Bootstrap library can add unnecessary weight to your project if you only use a small fraction of its features.
  • Learning Curve
    For beginners, the extensive set of features and classes can be overwhelming and take some time to learn.
  • Dependency on jQuery
    Older versions of Bootstrap heavily rely on jQuery, which can be a disadvantage for projects that aim to minimize dependencies.
  • Specific Structure
    Bootstrap works best when you adhere to its predefined structure and classes, which can limit flexibility for more complex or unique designs.
  • Customization Challenges
    Deep customization can be difficult and time-consuming, especially if you need to override many default styles and behaviors.
  • Performance Issues
    Using a large number of Bootstrap components can lead to performance issues, particularly on lower-end devices.

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

Bootstrap videos

Is Bootstrap Still Worth It? -- 1 Design, 2 Code Bases.

More videos:

  • Review - BOOTSTRAP Review | Best CSS Library ?
  • Review - Should you use Bootstrap?

Category Popularity

0-100% (relative to Plotly and Bootstrap)
Data Visualization
100 100%
0% 0
Developer Tools
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 Bootstrap

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.

Bootstrap Reviews

22 Best Bootstrap Alternatives & What Each Is Best For
Bootstrap alternatives are a suite of different tools and frameworks that web developers and designers employ for creating dynamic, responsive websites and applications. These tools, like Bootstrap itself, offer pre-written code for different elements of a website - from typography and buttons to navigation bars and image carousels - but each has its unique features and...
Source: thectoclub.com
15 Top Bootstrap Alternatives For Frontend Developers in 2024
UIKit is a modular front-end framework like Bootstrap and a Bootstrap competitor designed to develop fast and powerful web interfaces. You can utilize it with HTML or JavaScript based on your preference. It offers built-in support for right-to-left languages and includes an extensive library of components. This framework like Bootstrap provides a convenient solution for...
Source: coursesity.com
9 Best Bootstrap Alternatives | Best Frontend Frameworks [2024]
The only downside it has as compared to Bootstrap and Foundation is it is only a CSS framework, which means no JavaScript. So you will have to write your own JavaScript or Jquery to toggle your dropdowns or perform other basic interactionhttps://bulma.io/s of the sort. Overall it is a great alternative to Bootstrap, which is also being updated very frequently.
Source: hackr.io
Top 10 Best CSS Frameworks for Front-End Developers in 2022
Bootstrap is one of the most popular CSS frameworks globally and received instant popularity because of its responsive design. It was also the first framework that gave priority to mobile devices. With Bootstrap, there is no need for a separate design for mobile viewing. You just need to add the necessary classes, and the website will adapt to the screen size based on the...
Source: hackr.io
15 Best CSS Frameworks: Professional Bootstrap and Foundation Alternatives
This is why Bootstrap is by far the most popular framework on the market. All developers have heard of Bootstrap, and more than 80% of them say they are happy using it.

Social recommendations and mentions

Based on our record, Bootstrap seems to be a lot more popular than Plotly. While we know about 370 links to Bootstrap, we've tracked only 34 mentions of Plotly. 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

Bootstrap mentions (370)

  • Oat โ€“ Ultra-lightweight, semantic, zero-dependency HTML UI component library
    Reminds me of what bootstrap [1] was like around a decade ago. It's gotten quite a bit bloated since then though. 1. https://getbootstrap.com/. - Source: Hacker News / 5 months ago
  • Ng-News 26/01: Ng-Poland Outtakes - Keynote and Q&A
    But there is a new library, built from the beginning for Signal Forms. Its name is @ng-forge/dynamic-forms. It comes with an integration of common UI libraries: Angular Material, Bootstrap, but also PrimeNG and Ionic. - Source: dev.to / 6 months ago
  • Nuxt Tutorial 7 - UI Integrations
    Bootstrap used to be - and may still be - the most popular CSS framework for fast, responsive web development. It includes a set of predefined CSS classes, components, and JS plugins that make it easier to build modern design, responsive layouts, forms, navigation, and other interactive elements. It goes further than the previously covered Tailwind CSS, which focuses solely on styling. - Source: dev.to / 6 months ago
  • How to Use Bootstrap in a React Project (Beginner Guide)
    Note: The version of Bootstrap may be different. At the time of publishing this blog, the latest version is 5.3.8. You can check for the latest version from the official Bootstrap website. - Source: dev.to / 7 months ago
  • Appreciation on a second look: Lessons from Revisiting Bootstrap
    Using package manager: For more integrated setups in modern web apps, you can install it via npm. Visit the Bootstrap official page for more details on this. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Plotly and Bootstrap, 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.

Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.

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

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

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.

Materialize CSS - A modern responsive front-end framework based on Material Design