
SecurityScorecard
SAI360
ActivTrak
Amazon GuardDuty
Lookout
Oracle Risk Management Cloud
Cisco Talos
Aptible
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
SecurityScorecard
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.
Based on our record, Plotly seems to be a lot more popular than SecurityScorecard. While we know about 34 links to Plotly, we've tracked only 1 mention of SecurityScorecard. 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.
SecurityScoreCard enables continuous monitoring of the full vendor exosystem. The IP scanning allows you to get a complete overview of the third-party software and identify changes that can impact the security posture. Its intuitive workflows support security questionnaires, collaborations with vendors, and document sharing. Furthermore, its rule-based tools enable fast responses to new threats. Simple dashboards... - Source: dev.to / almost 4 years ago
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 / 4 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
SAI360 - SAI360โs GRC Software helps organizations seamlessly balance ethics, risk, and compliance with an integrated solution that manages all types of risks while supporting a risk-aware compliance program.
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.
ActivTrak - Understand how work gets done. Collect logs and screenshots from Windows, Mac OS and Chrome OS computers.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Amazon GuardDuty - Amazon GuardDuty offers continuous monitoring of your AWS accounts and workloads to protect against malicious or unauthorized activities.
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.