Software Alternatives, Accelerators & Startups

Animo.js VS Plotly

Compare Animo.js VS Plotly and see what are their differences

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Animo.js logo Animo.js

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

Plotly logo Plotly

Low-Code Data Apps
Not present
  • Plotly Landing page
    Landing page //
    2023-07-31

Animo.js features and specs

  • Lightweight
    Animo.js is a lightweight JavaScript library, which means it doesn't add much overhead to web projects and is quick to load.
  • Ease of Use
    The library provides a simple and intuitive API for creating animations, making it accessible even for beginners.
  • Chainable Animations
    Animo.js supports chaining animations, allowing developers to easily sequence multiple animations for more complex effects.
  • No Dependencies
    It does not require any external libraries like jQuery, making it easy to integrate into projects without additional dependencies.

Possible disadvantages of Animo.js

  • Limited Features
    Compared to more comprehensive animation libraries, Animo.js offers a limited set of features, which might not be suitable for all projects.
  • Community and Support
    Being a smaller library, it might not have a large community for support or extensive documentation compared to more popular libraries.
  • Performance
    For very complex animations or high-performance scenarios, native CSS animations or more advanced libraries may be more efficient.
  • Browser Compatibility
    While generally reliable, there might be compatibility issues on older or less commonly used browsers that developers need to test for.

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.

Animo.js 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 Animo.js 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

User comments

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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.

Animo.js mentions (0)

We have not tracked any mentions of Animo.js yet. Tracking of Animo.js recommendations started around Jul 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 Animo.js and Plotly, you can also consider the following products

Magic Animations CSS3 - CSS3 Animations with special effects.

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...