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Based on our record, Plotly should be more popular than WEBCode.run. 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.
Oh this would be such a good fit for my dream of serving federated backend code from web readable hosting https://webcode.run/. - Source: Hacker News / over 1 year ago
This would be so amazing. In order to access most vanilla services like redis, postgres etc. You need to deploy a bridge https://github.com/zquestz/ws-tcp-proxy -- somewhat abandoned at this point but it is still running), and a big problem with the approach was the web's inability to make TCP connections. - Source: Hacker News / about 2 years ago
Yeah, you are right. I made https://webcode.run also for this reason (also hot code reload and debugging but for JavaScript computational notebooks). - Source: Hacker News / over 2 years ago
This was why I created https://webcode.run the elimination of all tooling and a fast development loop even for backend. - Source: Hacker News / almost 3 years ago
I am building a compute layer for Observablehq which enables services to brought up using nothing other than a web browser. It's a bit too soon to call it a K8s replacement but the motivation was the complexity and laggyness of bringing up services on cloud or k8s. The WEB + on demand infrastructure is the distributed replacement of K8S https://webcode.run/ WEBCode is about eliminating environments and the... - Source: Hacker News / over 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 / about 1 month 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 / 3 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 / 5 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 / 11 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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