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Based on our record, NewRelic should be more popular than Plotly. It has been mentiond 100 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.
AIOps in observability: Dynatrace and New Relic use AI to detect anomalies before they’re noticeable. - Source: dev.to / 10 days ago
New Relic is an observability platform that offers real-time insights into applications, infrastructure, and cloud environments. - Source: dev.to / 19 days ago
APM tools like New Relic reveal slow spots in your code with beautiful precision. Flamegraphs visualize CPU and memory consumption, making bottlenecks jump out visually. And simple optimizations like adding caching or fetching only necessary fields can dramatically improve performance:. - Source: dev.to / 20 days ago
New Relic: Excels at tracing transactions across distributed services and analyzing historical performance patterns. - Source: dev.to / 20 days ago
Application Performance Monitoring: Tools like New Relic or Datadog provide deep visibility into your API's performance across components. - Source: dev.to / 20 days 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 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 / 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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