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Poll Everywhere VS Plotly

Compare Poll Everywhere 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

Poll Everywhere logo Poll Everywhere

Audience response system that uses mobile phones, twitter, and the web. Responses are displayed in real-time on gorgeous charts in PowerPoint, Keynote, or web browser.

Plotly logo Plotly

Low-Code Data Apps
  • Poll Everywhere Landing page
    Landing page //
    2023-10-16
  • Plotly Landing page
    Landing page //
    2023-07-31

Poll Everywhere features and specs

  • Real-time Engagement
    Poll Everywhere allows for instant feedback and interaction, making it easier to engage the audience in a live setting.
  • Ease of Use
    The platform offers a user-friendly interface, making it simple to create and manage polls even for those who are not tech-savvy.
  • Versatile Question Types
    Poll Everywhere supports multiple question formats, including multiple choice, open-ended, word cloud, and ranking, providing flexibility in how you gather responses.
  • Integration Options
    The tool integrates with popular presentation software like PowerPoint, Google Slides, and Keynote, allowing seamless inclusion in presentations.
  • Mobile Accessibility
    Participants can respond via their mobile devices, ensuring accessibility and higher participation rates.
  • Data Analysis and Reporting
    Poll Everywhere provides options for exporting data and generating reports, aiding in post-event analysis.

Possible disadvantages of Poll Everywhere

  • Limited Free Plan
    The free version has constraints on the number of participants and features, making it less suitable for larger events or advanced needs.
  • Learning Curve
    While the interface is generally user-friendly, some advanced features require time to learn and master.
  • Internet Dependent
    Both the presenter and the participants need to have a stable internet connection, which might be a limitation in areas with poor connectivity.
  • Cost
    Premium features and higher participant limits require a subscription, which could be costly for smaller organizations or individuals.
  • Customization Limitations
    Some users might find the customization options for themes and templates somewhat limited compared to other competitor tools.

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 Poll Everywhere

Overall verdict

  • Overall, Poll Everywhere is a good choice for those seeking an interactive audience engagement solution. Its wide range of features and intuitive interface make it a valuable resource for capturing audience insights and enhancing presentations.

Why this product is good

  • Poll Everywhere is often considered a good tool due to its ease of use, real-time engagement capabilities, and flexibility. It allows for interactive presentations by enabling audience participation through polls, quizzes, and questions, making it a beneficial tool for educators, corporate trainers, and event organizers. The platform's integration with tools like PowerPoint and Google Slides also enhances its usability in various settings.

Recommended for

  • Educators looking to increase student engagement and participation.
  • Corporate trainers aiming to create interactive and impactful training sessions.
  • Event organizers who want to gain real-time feedback and foster audience interaction.
  • Presenters needing to integrate polling and interactive elements into their slide decks.

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.

Poll Everywhere videos

+ Add

Mastering Poll Everywhere at your next live event or presentation

More videos:

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 Poll Everywhere and Plotly)

Poll Everywhere

Plotly

Polls And Quizzes
100 100%
Polls And Quizzes
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Realtime Feedback
100 100%
Realtime Feedback
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 Poll Everywhere and Plotly

Poll Everywhere Reviews

Live Polling: Free guide + Top 7 Live Poll Tools
Popular as a polling solution, Poll Everywhere helps you add live audience interactions to slides, so that the speaker could deliver effective presentations. Being a web-based audience response system, the poll helps speakers embed all the live activities directly into their presentations, easily. The participants respond using the Poll Everywhere app, via SMS texting or...
Source: www.questionpro.com
10 Best Poll Everywhere Alternatives (with Free Trials + Pricing)
Poll Everywhere is a great presenter tool. But its interface feels clunky, and itโ€™s tough to customize if you want to target specific participant groups. If these are the features youโ€™re missing, SurveySparrow is one of the best alternatives to Poll Everywhere. Whatโ€™s more, you can display poll results as a TV dashboard that gets updated in real-time.
Source: surveysparrow.com
Best Poll Apps to Look for in 2021 | Create a Poll in Seconds!
Make your presentations more engaging. Create a poll on the platform and add the Poll Everywhere widget to your presentation be it PowerPoint, Keynote or Google Slides.
Source: surveysparrow.com

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 seems to be more popular. 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.

Poll Everywhere mentions (0)

We have not tracked any mentions of Poll Everywhere yet. Tracking of Poll Everywhere recommendations started around Mar 2021.

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
View more

What are some alternatives?

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

Kahoot! - Kahoot! makes it easy to create, play and share fun learning games in minutesโ€”for any subject, in any language, on any device.

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.

Mentimeter - a web-based polling tool for workshops, conferences & events

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

Sli.do - Slido is the ultimate Q&A and polling platform for live and virtual meetings and events. It offers interactive Q&A, live polls and insights about your audience.

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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