Usetiful bridges the gap between users and digital systems. Guided tours and smart tips allow users to master any software system from day one.
Usetiful provides interactive product tours and smart tips into your application, improving user adoption and conversions instantly.
Usetiful is recommended for product managers, customer success teams, and training departments in companies that deploy software applications and seek to improve user onboarding, reduce support requests, or boost user satisfaction and retention.
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.
Usetiful's answer
Usetiful's answer
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It was easy to get started - I have registered the free plan and created the first tour in approximately 15 minutes. Since then I have been improving on the experience.
Part of my application is a single-page app. It was quite techy to get this part running. Kudos for the customer support that walked me through!
I use Usetiful for various clients' projects that require product tours. Everyone was satisfied so far. Web editor allows me to quickly update the content and browser extension to preview the tours. Reports provide enough detail.
Based on our record, Plotly seems to be more popular. It has been mentiond 33 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 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 / 3 months 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 / 5 months 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 / 6 months 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 / 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
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