Drata
Vanta
Sprinto
Secureframe
OneTrust
UpGuard
Probo
Hyperproof
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Drata
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 should be more popular than Drata. 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.
Have you had opportunity to apply any of the compliance automation tools like Drata in your work? Have you found them to be useful? Source: over 3 years ago
Have you got any experience from services like Drata (https://drata.com/)? Source: over 3 years ago
Have a chat with the folks at https://drata.com/. Thier discovery and automated evidence gathering platform is pretty cool. Prepare for sticker shock though. Getting through any compliance process is a $30k ish annual expense. Source: over 3 years ago
Compliance tools like Vanta and Drata integrate with the major cloud providers and allow you to automatically monitor whether compliance criteria are being met. Because these tools can plug directly into the cloud provider APIs, they are able to pull relevant data automatically and send alerts when something is misconfigured. - Source: dev.to / about 4 years ago
Even if your organization has the practices down, you will still need to spend time maintaining and collecting evidence of compliance. Therefore, itโs beneficial to invest in automated software tools like Vanta or Drata that can speed up the evidence collection process. These tools help manage and record evidence of compliance practices via continuous monitoring of the applicationโs infrastructure and business... - Source: dev.to / about 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
Vanta - Automate compliance, simplify security.
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.
Sprinto - SOC 2 security compliance for SaaS
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Secureframe - Get enterprise ready with SOC 2 and ISO 27001 compliance
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.