Most users struggle to see the full value of a product within the first 14 days (if ever).
That's why we built UserGuiding, a no-code product adoption platform that helps increase activation & retention and reduce churn using many in-app walkthroughs and widgets as well as standalone Knowledge Base and Product Updates pages. Provide your users all the self-serve help they need throughout their journey, and also gather valuable insights and feedback from them with our in-app surveys to give you direction and improve your product development.
The best part? You can do it all without breaking the bank and with zero technical expertise, thanks to our drag-and-drop interface.
Try UserGuiding today to give your product adoption a huge, instant boost.
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.
UserGuiding is recommended for SaaS companies, product managers, and growth teams who are looking to improve customer onboarding and engagement. It is especially beneficial for teams that lack the resources to create custom onboarding solutions from scratch, as it allows them to quickly deploy dynamic guides and tutorials with minimal technical effort.
Based on our record, Plotly seems to be a lot more popular than UserGuiding. While we know about 33 links to Plotly, we've tracked only 2 mentions of UserGuiding. 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 / 2 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 / 4 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
I do some work with https://userguiding.com/ and I find them to be a good compromise between features and pricing. It's one of the more affordable user onboarding platforms out there but comes in packed with functionalities, and it looks nice, too. Source: over 3 years ago
Use user guides to onboard customers flawlessly (https://userguiding.com/). Source: about 4 years ago
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