With Interacty, you donโt need any coding experience to create content that feels like it was created by a whole team of specialists. Build matching games, image polls, spinning wheels, or any of the 20 other interactive activities that catch your audience's attention. With over 400 templates, you can create any piece of content in less than 10 minutes.
It's easy to make lead forms for collecting information and leaderboards for giving out prizes. There are lots of templates to help you get started quickly. Once you're done, you can easily share your project on a website or learning platform, or through social media. For businesses, there are extra features like customization and support. Teachers can use it too, with ready-made templates to make lessons or create their own from scratch. The editor lets you put together lessons like building blocks, and you can include games or tasks. You can also add audio or video assignments.
There's a free trial and a special plan for education.
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.
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 / 6 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 / 8 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 / 10 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 / over 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: almost 2 years ago
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