Software Alternatives, Accelerators & Startups

Plotly VS Buefy

Compare Plotly VS Buefy and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Buefy logo Buefy

Lightweight UI components for Vue.js based on Bulma
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Buefy Landing page
    Landing page //
    2022-10-11

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.

Buefy features and specs

  • Integration
    Buefy is designed to work seamlessly with Vue.js, making it easy to integrate into existing Vue projects.
  • Bulma Based
    Buefy uses Bulma, a lightweight and flexible CSS framework, which ensures a modern and clean user interface.
  • Lightweight
    Since Buefy leverages Bulma for style and Vue.js for functionality, it remains lightweight compared to full-blown UI frameworks.
  • Simple to Use
    Buefy's components are user-friendly and easy to implement, allowing for rapid development and prototyping.
  • Customizable
    It offers a fair amount of customization options, allowing developers to tweak components to meet specific requirements.
  • Modular
    You can import only the components you need, optimizing your application's performance.

Possible disadvantages of Buefy

  • Limited Components
    Compared to other UI frameworks, Buefy has a smaller set of components, which may limit its use in more complex applications.
  • Community Support
    While Buefy has a growing community, it is still smaller than more established frameworks, which can impact the availability of shared resources and third-party plugins.
  • Documentation
    The documentation, while generally good, can sometimes lack depth in certain areas, making it harder to find advanced usage examples.
  • Dependent on Bulma
    Since Buefy is built on top of Bulma, any limitations or issues in Bulma will also affect Buefy.
  • Less Frequent Updates
    Buefy's updates and releases are less frequent compared to larger frameworks, which may result in slower bug fixes and feature additions.
  • Not Suitable for Large Scale Projects
    While excellent for small to medium projects, Buefy might not offer all the necessary features for very large and complex enterprise-level applications.

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

Buefy videos

#Vue + #Buefy Crash Course

More videos:

  • Review - NUXT.JS UI COMPONENT LIBRARIES WITH BUEFY AND ANT

Category Popularity

0-100% (relative to Plotly and Buefy)
Data Visualization
100 100%
0% 0
Developer Tools
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Development 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 Buefy

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.

Buefy Reviews

14 Best Vue UI Component Libraries 2023
If youโ€™ve used Bulma, a CSS framework used by over 200.000 developers, then Buefy may be a great choice for you. Buefy combines Bulma with Vue, helping you build good-looking applications using minimal code. Even though the default version has a distinct look and feel, the framework is highly customizable. You can define your own brand colors, sizing rules, and more, making...
Source: athemes.com
15 of the Most Interesting Vue UI Component Libraries for 2023
If you are comfortable with SASS, you will feel right at home with Buefyโ€™s similarities with SASS. That being said, while Buefy provides a ready-made list of components to use for a beginner application, you may find it insufficient if working on a large project.

Social recommendations and mentions

Based on our record, Plotly should be more popular than Buefy. 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 / 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
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Buefy mentions (13)

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What are some alternatives?

When comparing Plotly and Buefy, 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.

Vuetify - Material Component Framework for VueJS 2

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

Bootstrap Vue - Quickly integrate Bootstrap v4 components with Vue.js

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.

Vuesax - Vuesax is a library of Vuejs components that facilitates front-end development and streamlines work...