Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
UserZoom
Hotjar
UserTesting.com
Smartlook
Dynatrace
WalkMe
FullStory
Crazy Egg
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.
UserZoom is recommended for UX researchers, designers, product managers, and any teams focused on improving the user experience of digital products. It is especially useful for medium to large enterprises that require a scalable and feature-rich platform to conduct comprehensive user research and testing across various digital touchpoints.
Based on our record, Plotly seems to be a lot more popular than UserZoom. While we know about 34 links to Plotly, we've tracked only 2 mentions of UserZoom. 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.
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
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
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
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
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
Hi, I am doing research on some of the user testing tools out there like lookback.io, Marvelapp.com, maze.design, usabilityhub.com, userbrain.net, usertesting.com, userzoom.com. I would like to know about your experience. Source: almost 4 years ago
I've been looking at the variety of UT sites available for remote usability testing (useberry.com, maze.co, userzoom.com, UserTesting, userbrain.com, TryMyUI, userlytics.com, uxarmy, UXcam). Source: over 4 years ago
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.
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!
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
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!
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.
Smartlook - Qualitative analytics for websites and mobile apps Start understanding the 'whys' of your users' behaviors with clear, visual insights. With session recordings and event tracking, you get the complete picture.