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Plotly VS Dragula

Compare Plotly VS Dragula and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Dragula logo Dragula

A drag and drop library for developers
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Dragula Landing page
    Landing page //
    2023-10-01

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.

Dragula features and specs

  • Simplicity
    Dragula offers a simple API that makes it easy to integrate drag-and-drop functionality into a project without extensive setup.
  • Minimal Dependencies
    Dragula has minimal dependencies, ensuring that it can be easily integrated into projects without the overhead of importing multiple libraries.
  • Browser Compatibility
    Dragula is designed to be compatible with a wide range of modern browsers, ensuring consistent performance across different environments.
  • Smooth Animations
    The library provides smooth and efficient animations, enhancing the user experience during drag-and-drop operations.
  • Customizability
    Dragula allows for a range of customizations through options and event hooks, giving developers control over its behavior and appearance.

Possible disadvantages of Dragula

  • Limited Features
    While Dragula is great for basic drag-and-drop functionality, it may lack the advanced features and flexibility offered by some other libraries.
  • Community Support
    Compared to more popular drag-and-drop libraries, Dragula has a smaller community, which can result in less frequent updates and fewer resources for troubleshooting.
  • Documentation
    Users have reported that Dragula's documentation could be more comprehensive, which might pose challenges for developers who are new to the library.
  • Integration Issues
    Some users have encountered issues when trying to integrate Dragula with certain frameworks or libraries, which might require workarounds.
  • Performance
    In applications with highly complex DOM structures or numerous draggable items, performance can degrade, making Dragula less suitable for very large-scale implementations.

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 Dragula

Overall verdict

  • Yes, Dragula is considered a good choice for projects that need efficient and straightforward drag-and-drop interactions. Its lightweight nature and cross-browser compatibility make it a preferred option for many developers.

Why this product is good

  • Dragula is a popular drag-and-drop library known for its simplicity and ease of use. It requires minimal setup, offers a straightforward API, and is compatible with modern browsers. It's especially useful for developers who want to implement drag-and-drop functionality without dealing with complex configurations.

Recommended for

  • Developers looking for simple drag-and-drop integration
  • Projects where lightweight and fast performance is crucial
  • Applications that need compatibility with modern browsers
  • Teams that prefer a library with a straightforward API

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

Dragula videos

+ Add

FASHION PHOTO RUVIEW: The Boulet Brothers' DRAGULA Queens!

More videos:

  • Review - IMHO: Dragula Review S03E01
  • Review - Hot or Rot? | Dragula Season 3 Episode 1 Review

Category Popularity

0-100% (relative to Plotly and Dragula)

Plotly

Dragula

Data Visualization
100 100%
Data Visualization
0% 0
Development
0 0%
Development
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100

User comments

Share your experience with using Plotly and Dragula. For example, how are they different and which one is better?
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Reviews

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

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

Dragula Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Dragula. While we know about 33 links to Plotly, we've tracked only 1 mention of Dragula. 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 (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 / 3 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 / 5 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 / about 1 year 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

Dragula mentions (1)

What are some alternatives?

When comparing Plotly and Dragula, 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.

Pixi.js - Fast lightweight 2D library that works across all devices

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

Anime.js - Lightweight JavaScript animation library

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

Substance - A JavaScript library for web-based content editing

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