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.
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Based on our record, Plotly seems to be a lot more popular than Mighty Networks. While we know about 33 links to Plotly, we've tracked only 2 mentions of Mighty Networks. 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.
"a huge unmet demand currently exists for a social network which is based on the social graph, instead of the content graph, and which is pre-enshittification*" I would argue this hasn't disappeared, but merely moved. There's a number of other platforms people are using for seeking a certain social graph - Mighty Networks ( https://mightynetworks.com ), Hylo ( https://hylo.com ), a number of others. - Source: Hacker News / over 1 year ago
If you want to quickly spin up a niche online community easily there isn't a way to do so currently. There are things like mightynetworks.com, circle.so but they charge huge amount and are audience based platforms and not where everybody contributes. Source: almost 3 years 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 / 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
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RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...