Software Alternatives, Accelerators & Startups

Magic Animations CSS3 VS Plotly

Compare Magic Animations CSS3 VS Plotly and see what are their differences

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.

Magic Animations CSS3 logo Magic Animations CSS3

CSS3 Animations with special effects.

Plotly logo Plotly

Low-Code Data Apps
  • Magic Animations CSS3 Landing page
    Landing page //
    2023-08-22
  • Plotly Landing page
    Landing page //
    2023-07-31

Magic Animations CSS3 features and specs

  • Easy to Implement
    Magic Animations CSS3 offers a user-friendly approach to adding animations, requiring only simple class names to implement.
  • Variety of Animations
    The library provides a diverse range of animations, allowing developers to choose from many predefined effects to suit their project's needs.
  • Lightweight
    Magic Animations is lightweight, which ensures minimal impact on page load times while still providing high-quality animations.
  • Cross-Browser Compatibility
    The animations are designed to work across different web browsers, ensuring that users have a consistent experience.

Possible disadvantages of Magic Animations CSS3

  • Limited Customization
    While Magic Animations offers many predefined animations, fine-tuning these animations to better fit specific project needs may be difficult without deeper modification.
  • Dependence on CSS3
    As the library is based on CSS3, it might not be fully compatible with older browsers that do not support CSS3 features.
  • No Built-in Support for Complex Interactions
    Magic Animations focuses on simple animations and does not provide built-in support for more complex interactions or animations tied to scroll events and other triggers.
  • Lack of Documentation
    The documentation for Magic Animations is minimal, which could lead to confusion or difficulty in implementing specific animations effectively.

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.

Magic Animations CSS3 videos

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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

Category Popularity

0-100% (relative to Magic Animations CSS3 and Plotly)
Development
100 100%
0% 0
Data Visualization
0 0%
100% 100
Javascript UI Libraries
100 100%
0% 0
Data Dashboard
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Magic Animations CSS3 and Plotly

Magic Animations CSS3 Reviews

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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.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Magic Animations CSS3 mentions (0)

We have not tracked any mentions of Magic Animations CSS3 yet. Tracking of Magic Animations CSS3 recommendations started around Mar 2021.

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 1 month 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 / 3 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 / 5 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
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What are some alternatives?

When comparing Magic Animations CSS3 and Plotly, you can also consider the following products

Animo.js - Animo.js is a lightweight, open-source tool that enables developers to manipulate animations and transitions.

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.

Move.js - Move.js is a mini Javascript library that provides CSS3 animations.

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...