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Chosen VS Plotly

Compare Chosen 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

Chosen logo Chosen

Chosen is a JavaScript plugin that makes long, unwieldy select boxes much more user-friendly.

Plotly logo Plotly

Low-Code Data Apps
  • Chosen Landing page
    Landing page //
    2019-08-11
  • Plotly Landing page
    Landing page //
    2023-07-31

Chosen features and specs

  • Improved User Experience
    Chosen enhances the user experience by making long select boxes much more navigable and user-friendly, providing an aesthetic and intuitive interface for selecting options.
  • Search Functionality
    It includes a search box that allows users to quickly find and select from lists with a large number of options, significantly speeding up the selection process.
  • Multi-select Options
    Chosen supports multiple selections, enabling users to select more than one option at a time, which is particularly useful in situations where multiple options are required.
  • Cross-browser Compatibility
    It works across various modern browsers, ensuring that users have a consistent experience no matter which browser they use.
  • Customizable
    The plugin offers several configuration options and is highly customizable, allowing developers to tailor the appearance and functionality to fit the site's design.

Possible disadvantages of Chosen

  • Performance Issues
    When dealing with select options of immense scale, Chosen can experience performance issues, leading to slower interaction and increased load times.
  • Accessibility Concerns
    It does not fully comply with accessibility standards out of the box, making it challenging for users who rely on assistive technologies.
  • Dependency on jQuery
    Chosen requires jQuery, which may not align with projects that aim to reduce dependencies or use pure JavaScript solutions.
  • Limited Mobile Support
    The user experience on mobile devices is not always optimal, as some features do not translate well to touch interfaces.
  • Maintenance and Updates
    The plugin's maintenance and frequency of updates may not be robust in keeping up with the latest web development trends and browser updates.

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 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.

Chosen videos

+ Add

Is "The Chosen" Biblical? - Season 1 Review

More videos:

  • Review - A Chosen Review
  • Review - Catholic Priests React to "The Chosen"

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 Chosen and Plotly)

Chosen

Plotly

Sport & Health
100 100%
Sport & Health
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Health & Wellness
100 100%
Health & Wellness
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 Chosen and Plotly

Chosen Reviews

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

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, Plotly should be more popular than Chosen. It has been mentiond 34 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.

Chosen mentions (4)

  • How to load the data from external json file to the composite's textfield element?
    Jumping onto this you can then use a library like chosen, select2, selectize.js or others to get type ahead like behaviour to populate the data as a user types. Source: about 4 years ago
  • Customize select with vanilla JavaScript
    If this approach does not suit you, then you need to make your own. There are ready-made solutions: โ€” Select2 in jQuery; โ€” Chosen in jQuery; โ€” Choices in JavaScript without deps. - Source: dev.to / about 4 years ago
  • disable jquery-chosen dropdown
    I have a select div that I'm using the chosen jquery plugin to style and add features to (most notably, search). The div looks something like this,. Source: over 4 years ago
  • Software developers have stopped caring about reliability
    Or maybe browser vendors can invest in high quality, easy to style, feature rich built in components, so we don't have to reimplement the wheel. Its 2022 almost, and we still can't get a html select that has 20% of the features that chosen (https://harvesthq.github.io/chosen/) had 8 years ago. - Source: Hacker News / almost 5 years ago

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 / 4 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
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What are some alternatives?

When comparing Chosen and Plotly, you can also consider the following products

footplr - Footplr Manager is an application for easy way of managing, analyzing the schedule and records of your football team.

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.

TeamPro - TeamPro is an online website that offers you an effective way to manage your sports teamโ€™s activities and events.

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

TeamStats - TeamStats transforms football teams. A revolutionary football management & organisation platform used by teams and players around the world. Free signup.

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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