UXCam
Smartlook
Hotjar
Mixpanel
ClickTale
Heap
Inspectlet
FullStory
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
UXCam empowers mobile app teams with the granular insights needed to develop empathic products. Stepping into the customers' shoes to understand their journey has never been easier with analytics that uncovers real user behavior.
The clear visuals and actionable insights on the UXCam dashboard simplify decision-making and prioritization for product teams. By democratizing access to data across organizations, we fuel your team's agility.
So how do we do it?
UXCam is a self-service mobile app analytics platform that captures micro-interaction level experience data. These product insights offer a unified visual of the end-to-end customer experience. We make customer motives and frustrations loud and clear to product teams with tools like heatmaps, funnels, session replay, crash analytics, and more.
UXCam
PlotlyPlotly 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.
Based on our record, Plotly should be more popular than UXCam. 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.
UXCam is a mobile app analytics platform designed to help businesses to track user behavior and improve their app experiences. It captures session recordings, allowing teams to replay user interactions and identify pain points. Its heatmaps highlight touch gestures, showing where users engage most or struggle. - Source: dev.to / over 1 year ago
UXCam is a User Experience (UX) analytics tool that helps businesses and organizations analyze and improve the experience of their digital products, such as mobile apps or websites. It collects data on how users interact with an app, enabling developers, designers, and product teams to understand user behavior, identify pain points, and optimize the overall user experience. - Source: dev.to / over 1 year ago
10. UXCam UXCam is a mobile app analytics platform that provides session replay, heatmaps, and user journey tracking. It helps developers and designers understand user behavior, identify issues, and optimize app experience for better user engagement and retention. - Source: dev.to / over 1 year ago
UXCam enhances understanding of app performance issues for both product and engineering teams. It provides detailed reports on bugs, UI freezes, and crashes, enabling teams to pinpoint root causes effectively. Collaboration with stakeholders is seamless, ensuring app stability and performance improvement. - Source: dev.to / almost 2 years ago
This is why UX analytics are essential. I have been using this tool called UXCam in my company and it has really helped me and my team to support both the UX changes we want to implement but most importantly the wins of our efforts. Source: over 4 years ago
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
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 / over 1 year 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
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.
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...
Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.
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.