Based on our record, Plotly should be more popular than OpenVAS. 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.
Otherwise your on the right path checkout the open source Greenbones OpenVAS (this was Nessus before they closed source and became corporate) or Project Discovery Nuclei. Source: about 2 years ago
Personally, I was lucky enough to get a license to Nessus for my own scanning, however you can use OpenVAS for some free to scan. Scanners aren't 100% correct no matter where you go but it'll give you some things to look at. OpenVAS. Source: about 3 years ago
Https://openvas.org/ OpenVAS is free and fairly capable. It might struggle cpu on a pi... Might need quite a bit of ram, but I'm hoping you've got some beefier kit in your stack. Source: about 3 years ago
Maybe OpenVAS would fill the bill. It’s been on my list of things to check out. Source: over 3 years ago
OpenVAS - https://openvas.org Try it first, its free, just download a prebuilt VM and you're off and running. I found it valuable for my clients. Source: almost 4 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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