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Lo-Dash VS Plotly

Compare Lo-Dash VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Lo-Dash logo Lo-Dash

Lo-Dash is a drop-in replacement for Underscore.

Plotly logo Plotly

Low-Code Data Apps
  • Lo-Dash Landing page
    Landing page //
    2021-09-20
  • Plotly Landing page
    Landing page //
    2023-07-31

Lo-Dash features and specs

  • Performance
    Lo-Dash is highly optimized for performance, often outperforming native methods and other utility libraries in benchmarks.
  • Consistency
    Offers a consistent API for various data manipulation tasks, making the codebase more predictable and easier to maintain.
  • Modularity
    Allows for importing specific functions to minimize bundle size, which can lead to more efficient use of resources.
  • Community and Support
    Lo-Dash has a large, active community, providing a wealth of resources, plugins, and quick support.
  • Cross-browser Compatibility
    Ensures consistent behavior across different browsers, saving developers from dealing with browser-specific bugs.
  • Readability
    Enhances code readability with its clear, chainable API, making complex operations more understandable.

Possible disadvantages of Lo-Dash

  • Size
    While modular, if not used carefully, Lo-Dash can contribute to larger bundle sizes compared to native implementations.
  • Learning Curve
    Developers new to the library might need time to get used to its extensive API and chaining capabilities.
  • Redundancy
    Many of Lo-Dash's utilities have been added to JavaScript natively, potentially rendering parts of the library redundant.
  • Dependency
    Relying heavily on Lo-Dash can create a dependency that complicates upgrading or moving away from the library in the future.
  • Security
    As with any third-party library, there are potential security vulnerabilities, although Lo-Dash is generally well-maintained.

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.

Analysis of Lo-Dash

Overall verdict

  • Lodash is considered a highly useful tool in modern JavaScript development. It is well-documented, actively maintained, and has a large community of users. It stands out for its consistency, reliability, and versatility, making it a staple for many developers who need a straightforward, powerful solution for handling data manipulation tasks.

Why this product is good

  • Lo-Dash, commonly known as Lodash, is widely regarded as a powerful and flexible utility library that simplifies common programming tasks, particularly in JavaScript. It provides a wide array of functions that make it easier to work with arrays, numbers, objects, strings, and more. The library is known for its performance optimizations and ease of use, which help developers write cleaner and more efficient code. Its modular design allows users to pick only the functions they need, reducing the footprint of their code.

Recommended for

  • JavaScript developers seeking efficient methods for data manipulation.
  • Projects where performance and consistency are key concerns.
  • Developers who appreciate well-documented and actively maintained libraries.
  • Applications requiring extensive use of functional programming techniques.

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.

Lo-Dash videos

No Lo-Dash videos yet. You could help us improve this page by suggesting one.

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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 Lo-Dash and Plotly)

Lo-Dash

Plotly

Javascript UI Libraries
88 88%
Javascript UI Libraries
12% 12
Data Visualization
0 0%
Data Visualization
100% 100
Development Tools
100 100%
Development Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Lo-Dash and Plotly

Lo-Dash Reviews

We have no reviews of Lo-Dash 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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Lo-Dash should be more popular than Plotly. It has been mentiond 102 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.

Lo-Dash mentions (102)

  • JavaScript Awesome Package
    Lodash - JavaScript utility library delivering modularity, performance & extras. - Source: dev.to / 6 months ago
  • A better future for JavaScript that won't happen
    > Perhaps Google and Mozilla, leaders in JavaScript standards and implementations, will start developing a real standard library for JavaScript, which makes micro-dependencies like left-pad a thing of the past. This could be combined with a consolidation of efforts, merging micro-libraries into larger packages with a more coherent and holistic scope and purpose, which prune their own dependency trees in turn.... - Source: Hacker News / 11 months ago
  • 5 Essential React Practices for Building Robust Applications
    Lodash: A utility library that offers easy-to-use debounce and throttle functions. - Source: dev.to / about 1 year ago
  • Debouncing in React: With and Without Libraries
    Lodash is a popular JavaScript utility library that provides a convenient debounce function. It's a straightforward approach if you're already using Lodash in your project. - Source: dev.to / over 1 year ago
  • Top 10 Expert-Crafted JavaScript Coding Interview Questions
    The _.merge function from Lodash is a powerful utility for deep merging. It recursively merges nested properties from source objects into a target object. - Source: dev.to / over 1 year ago
View more

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 / 5 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
View more

What are some alternatives?

When comparing Lo-Dash 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

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

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

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.

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