Software Alternatives & Startups

Plotly VS Loop11

Compare Plotly VS Loop11 and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

Loop11 logo Loop11

A powerful tool which enables user testing on prototypes, wireframes and websites.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Loop11 Landing page
    Landing page //
    2023-09-28

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.

Loop11 features and specs

  • Ease of Usability
    Loop11 offers an intuitive interface and easy setup process, making it accessible even for users with limited technical expertise.
  • Comprehensive Testing
    The platform supports a wide range of testing types including usability, A/B testing, and more, providing versatility for users.
  • No Coding Required
    Users can create and conduct tests without needing to write any code, simplifying the process and reducing setup time.
  • Multilingual Support
    Loop11 offers support for multiple languages, which is beneficial for international projects or audience testing.
  • Real-time Analytics
    Provides real-time analytics and visual reports that help in making quick, data-driven decisions.
  • Integration Capabilities
    Can integrate with other platforms and tools like Optimal Workshop and Office 365, enhancing its functionality.

Possible disadvantages of Loop11

  • Pricing
    Compared to some other usability testing tools, Loop11 can be relatively expensive, which might be a barrier for small businesses or individual users.
  • Limited Mobile Testing
    While it does support mobile testing, the features and capabilities are not as robust as they are for desktop testing.
  • Steep Learning Curve for Advanced Features
    Some of the more advanced features may require a deeper understanding and can be complex to fully utilize.
  • Video Quality
    The quality of the recorded user sessions might not always meet expectations, which can affect analysis.
  • Customer Support
    There have been some reports of slow or less responsive customer support, which can be a problem when issues arise.

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.

Analysis of Loop11

Overall verdict

  • Loop11 is generally considered a good tool for those seeking a user-friendly and effective solution for usability testing. Its features and capabilities make it a notable choice for conducting UX research, although some users might find its pricing a consideration depending on their budget and needs.

Why this product is good

  • Loop11 is a user experience testing tool designed to facilitate usability testing by allowing users to create and run tests on websites and digital products. It is valued for its ability to gather qualitative insights through task-based activities and surveys, supporting both moderated and unmoderated testing. The platform is appreciated for its ease of use, customizable tests, and ability to conduct mobile testing, which helps businesses improve their user experience by identifying pain points and areas of improvement.

Recommended for

    Loop11 is recommended for UX designers, researchers, product managers, and digital marketers who need to conduct comprehensive usability testing. It’s suitable for teams that require both qualitative and quantitative data to enhance user experiences across web and mobile platforms. Companies and individuals seeking to improve their product design and usability through consistent user feedback will find Loop11 especially beneficial.

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

Loop11 videos

Usability Tools Loop11 Exercise

More videos:

  • Review - Loop11 - Usability testing as it should be

Category Popularity

0-100% (relative to Plotly and Loop11)
Data Visualization
100 100%
0% 0
User Experience
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Usability
0 0%
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 Plotly and Loop11

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.

Loop11 Reviews

Best 8 Affordable UserZoom Alternatives in 2023
Loop11 does not provide a pool of participants, therefore you’ll have to issue invites to your own users to receive results for your study. UserZoom has a user base of more than 120 million testers.

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.

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 / 6 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!🤓
    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 / almost 2 years 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

Loop11 mentions (0)

We have not tracked any mentions of Loop11 yet. Tracking of Loop11 recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Loop11, you can also consider the following products

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.

UserTesting.com - Usability testing has never been easier. Get videos of real people speaking their thoughts as they use websites, mobile apps, prototypes and more!

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

UserZoom - Test, measure, and monitor UX with our cost-effective all-in-one platform. UserZoom is a cloud-based solution for online usability testing.

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.

Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!