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Underscore.js VS Plotly

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

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Underscore.js logo Underscore.js

Underscore is a utility-belt library for JavaScript that provides a lot of the functional...

Plotly logo Plotly

Low-Code Data Apps
  • Underscore.js Landing page
    Landing page //
    2018-12-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Underscore.js features and specs

  • Utility Functions
    Underscore.js provides a wealth of utility functions for common tasks such as map, reduce, filter, and more, making it easier to perform operations on arrays, objects, and collections.
  • Consistency
    The library offers a consistent API, which can make your code more readable and maintainable by providing a standard way to perform common programming tasks.
  • Lightweight
    Underscore.js is lightweight compared to full-featured libraries like Lodash, which can be a benefit if you're looking to minimize your application's footprint.
  • Browser Compatibility
    It supports a wide range of JavaScript environments, making it a good choice for projects that need to work across different browsers and Node.js.
  • Quick to Learn
    Easy to pick up for developers with even a basic understanding of JavaScript, due to its straightforward documentation and familiar function names.

Possible disadvantages of Underscore.js

  • Performance
    Underscore.js may not offer the same level of performance optimizations as more modern utility libraries like Lodash, potentially leading to slower execution for some tasks.
  • Limited Functionality
    While it covers many basic utility functions, its feature set is not as extensive as Lodash or other similar libraries, which provide a broader range of capabilities.
  • Outdated
    With the advent of ECMAScript 5 and later versions, many of the functions provided by Underscore.js are now natively available in JavaScript, reducing its necessity.
  • No Modularization
    Underscore does not support modular builds in the same way Lodash does, meaning you might end up including the entire library even if you only need a few functions.
  • Community and Maintenance
    While still maintained, Underscore.js has seen less active development and contributions compared to newer libraries, which could impact its long-term viability and support.

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.

Underscore.js videos

+ Add

Introduction to Underscore.JS

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

Category Popularity

0-100% (relative to Underscore.js and Plotly)

Underscore.js

Plotly

Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Development Tools
100 100%
Development Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Underscore.js and Plotly

Underscore.js Reviews

We have no reviews of Underscore.js yet.
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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.
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

Social recommendations and mentions

Plotly might be a bit more popular than Underscore.js. We know about 33 links to it since March 2021 and only 23 links to Underscore.js. 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.

Underscore.js mentions (23)

  • JavaScript evolution: From Lodash and Underscore to vanilla
    Underscore was created by Jeremy Ashkenas (the creator of Backbone.js) in 2009 to provide a set of utility functions that JavaScript lacked at the time. It was also created to work with Backbone.js, but it slowly became a favorite among developers who needed utility functions that they could just call and get stuff done with without having to worry about the inner implementations and browser compatibility. - Source: dev.to / 5 months ago
  • KlongPy: High-Performance Array Programming in Python
    There was a step-change improvement for me when I tried expressing some JS patterns via `underscore.js` instead of procedurally: eg: http://underscorejs.org/#each Thinking of something as `each | map | filter | sum` is waaay less buggy than writing bespoke procedural code to do the same thing. No doubt there is a "cost" to it as well, but the _abstraction_ is valuable. Now, if there were a "compiler" which could... - Source: Hacker News / 6 months ago
  • 100+ Must-Have Web Development Resources
    Underscore.js: A utility library that offers a full set of functional programming helpers without extending any built-in JavaScript objects. - Source: dev.to / 7 months ago
  • Mastering Node.js
    Underscore contains just about every core utility method you want. - Source: dev.to / 10 months ago
  • 8 NPM Packages for JavaScript Beginners [2024][+tutorials]
    Not too far behind is Underscore.js, another utility library that's all about enhancing your JavaScript mojo. Whether you're dealing with arrays, objects, or strings, Underscore has got something for you. It's like Lodash's sibling, offering similar functionalities but with its own flair. The choice between them is like picking between chocolate and vanilla - it really comes down to personal taste. - Source: dev.to / about 1 year ago
View more

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 2 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 / 4 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 / 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
View more

What are some alternatives?

When comparing Underscore.js and Plotly, you can also consider the following products

jQuery - The Write Less, Do More, JavaScript Library.

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.

React Native - A framework for building native apps with React

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

Babel - Babel is a compiler for writing next generation JavaScript.

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

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