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Plotly VS UXtweak

Compare Plotly VS UXtweak and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

UXtweak logo UXtweak

Online user testing and usability platform
  • Plotly Landing page
    Landing page //
    2023-07-31
  • UXtweak Landing page
    Landing page //
    2023-09-05

Powerful research tools for improving usability of web sites and apps, from prototypes to production. Built for usability testing, information architecture research, and user behavior analytics at any stage of the development cycle. Easy implementation with GTM, GDPR and CCPA compliant. And most importantly, simple for respondents - no browser extension, downloading, or uploading anything. We provide our users with unmoderated usability testing, session recordings with advanced filters, heatmaps and activity tracking, tree testing, card sorting, and so much more packed into one simple to use platform.

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.

UXtweak features and specs

  • Comprehensive Toolset
    UXtweak offers a wide range of tools for usability testing, including session recordings, heatmaps, surveys, and card sorting, providing a complete suite for UX research needs.
  • User-Friendly Interface
    The platform's intuitive design makes it easy for both beginners and advanced users to navigate and utilize the features effectively.
  • Real-Time Analytics
    UXtweak provides real-time data and analytics, allowing teams to quickly assess user behaviors and make informed decisions.
  • Customization Options
    The tool offers extensive customization options, enabling users to tailor tests and surveys according to specific project requirements.
  • Collaboration Features
    With collaborative features, team members can easily share insights and feedback, facilitating better teamwork and project management.

Possible disadvantages of UXtweak

  • Pricing Model
    For small businesses or individual designers, the pricing might be on the higher side compared to some competitors, potentially limiting accessibility.
  • Learning Curve
    Despite its user-friendly design, new users might experience a learning curve when exploring the full range of features.
  • Limited Third-Party Integrations
    The platform may have fewer integrations with other tools and software compared to some other UX solutions, which might require additional effort for comprehensive data utilization.
  • Performance on Large Data Sets
    Some users might experience slower performance or delays when handling very large data sets or complex projects.
  • Mobile Testing Limitations
    Certain mobile testing functionalities might be less robust, potentially affecting the quality of insights for mobile-centric projects.

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.

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

UXtweak videos

+ Add

UXtweak: a powerful UX Research tools for UI/UX Designers

More videos:

  • Review - UXtweak Website Testing - The easiest way to test your website
  • Review - 3 UX research methods to help you empathise with your users with UXtweak

Category Popularity

0-100% (relative to Plotly and UXtweak)

Plotly

UXtweak

Data Visualization
100 100%
Data Visualization
0% 0
User Experience
0 0%
User Experience
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Usability Testing
0 0%
Usability Testing
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 UXtweak

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

UXtweak Reviews

Maze vs UXtweak: Which is the better tool?
👀 Looking to Switch to UXtweak but Locked into Maze subscription? If you’re currently subscribed to Maze but want to explore what UXtweak has to offer, we have a special deal for you! We will provide free access to UXtweak for the remaining duration of your Maze subscription. No need to worry about extra costs or initiating a new procurement process. Simply reach out to us...
Source: blog.uxtweak.com
UXtweak vs Optimal Workshop
Both UXtweak and Optimal Workshop offer heatmaps, however, they are slightly different. UXtweak offers you pretty complex heatmaps with the visualization of mouse movements, mouse clicks, and taps. UXtweak also offers you scroll maps, which is a variant of heatmaps showing how far down the visitors have scrolled down the page.
Source: blog.uxtweak.com
Best 8 Affordable UserZoom Alternatives in 2023
You may also choose between a pro plan for only 70€ per month or a custom plan tailored to your specific requirements. UXtweak is one of the most cost-effective usability testing tools available, according to these figures, making it a great UserZoom option.
Source: blog.uxtweak.com
UserTesting vs UserZoom: Pick the right user research software in 2022
UXtweak is an alternative to UserTesting and UserZoom. It is an all-in-one UX research platform full of powerful tools for improving the usability of websites and apps, from prototypes to production. It is designed for usability testing, information architecture research, and user behavior analytics at any stage of the development cycle – helping you create products people...
Source: blog.uxtweak.com
5 Best UXtweak Alternatives
UXtweak is one of the most complex research tools offering many features under one hood. A great plus is that even with a free plan you have unlimited studies – this means you can test and test as much as you wish, hooray!
Source: blog.uxtweak.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than UXtweak. While we know about 34 links to Plotly, we've tracked only 2 mentions of UXtweak. 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

UXtweak mentions (2)

  • Looking for volunteers to navigate a website and answer a few questions (over 18, any gender, UX design experience is not required but would provide great insight)
    I am looking for volunteers to navigate a website for a fashion brand and answer 4 quick questions at the end. The process is fast and is done through UXtweak.com and can be done anonymously. This is for a school project. Source: over 3 years ago
  • What tool do you guys use to test your prototypes?
    Have been using UXtweak for some of my latest projects on Figma and I’m very much satisfied. They have some great features and it’s easy to upload your designs too! But most importantly it's free, recommend checking them out uxtweak.com. Source: almost 5 years ago

What are some alternatives?

When comparing Plotly and UXtweak, 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...

Maze - Beautiful & actionable analytics for InVision prototypes

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!

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