Spectate
Pulsetic
UptimeRobot
Phare.io
Observer
Cronitor
Odown
Oh Dear!
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Effortless monitoring, alerting and incident management.
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Spectate
PlotlyPlotly 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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What started as an internal tool to satisfy my monitoring and alerting needs has expanded to become a complete platform. With the use of AI, we have automated lots of tasks so your team can focus on what is important: getting that issue resolved.
Spectate's answer
Spectate is an excellent solution for SME businesses who can't afford to manage incident communication full-time. With its ease of use, it's also an excellent solution for freelancers who want to monitor their services without unnecessary hassle.
Spectate's answer
Spectate isn't just another uptime monitoring service. It provides pro-active uptime & performance monitoring, status pages powered by AI updates so you can focus on the incidents, domain monitoring and internal incident management and postmortems.
Spectate's answer
Spectate is focusing on making monitoring and incident management as easy and efficient as possible. With our opinionated incident management workflow, it is less flexible than competitors but makes you insanely efficient. We're not stopping just there, you get even more efficient by using automatic status page updates, supercharged by AI, so you can focus on fixing the actual issue instead of taking care of customer communication.
Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months 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 / over 1 year 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 / over 1 year 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 / over 1 year 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 / about 2 years ago
Pulsetic - Pulsetic makes monitoring your SaaS products simple and easy with Status badges to show the status of the site without changing pages and you will also be alerted when your site goes down.
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.
UptimeRobot - Free Website Uptime Monitoring
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Phare.io - Keep your website up and running, empower your team with efficient incident management and keep your users informed during hard times.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.