Based on our record, Prometheus should be more popular than Plotly. It has been mentiond 274 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.
You must use Prometheus to collect and query Kube-State-Metrics output. The steps to correctly configure Prometheus to scrape Kube-State-Metrics may vary depending on how you installed Prometheus in your cluster. - Source: dev.to / about 10 hours ago
In this setup, we are launching the OpenTelemetry Collector with the configuration file otel-collector-config.yaml and exposing its gRPC and HTTP receiver ports on localhost. Also, we are launching Prometheus with the configuration file prometheus.yaml and exposing its UI on localhost. - Source: dev.to / 7 days ago
Prometheus is an open-source monitoring solution designed for time-series data, commonly used with Grafana for visualization. This combination is popular among organizations seeking customizable and scalable monitoring solutions, especially in Kubernetes environments. - Source: dev.to / 12 days ago
Prometheus + Grafana: Open-source tools that offer maximum flexibility without ongoing licensing costs—ideal for teams willing to manage their own infrastructure and configuration. - Source: dev.to / 14 days ago
Prometheus: Best known for monitoring, but also valuable for tracking security metrics that signal potential issues. - Source: dev.to / 14 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 / 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
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application