Snyk
Aikido Security
SonarQube
Qualys
Checkmarx
Black Duck Software Composition Analysis
Veracode
Quick License Manager
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Snyk PlotlySnyk is recommended for developers and DevOps teams who need to ensure the security of their applications. It's especially beneficial for teams that use open source components, run containers, or manage infrastructures through code, and who want an easy-to-integrate solution that fits into existing workflows.
Plotly 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, Snyk should be more popular than Plotly. It has been mentiond 118 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.
Guy Podjarny, founder of Tessl, organizer of AI Native DevCon, and previously of Snyk, frames the 2026 question:. - Source: dev.to / 2 months ago
Second, integrate automated vulnerability scanning. Connect your GitHub repository to platforms like Snyk to get real-time alerts whenever a compromised package is detected. - Source: dev.to / 2 months ago
Snyk focuses on a specific category of risk in AI-generated code: dependency vulnerabilities. When an AI model generates code that imports packages, it tends to use standard, well-known packages. But standard packages can have known vulnerabilities in specific versions, and AI models are not always current on which versions have outstanding CVEs. - Source: dev.to / 3 months ago
Snyk scans code for security vulnerabilities, focusing on dependencies and known vulnerability patterns. For AI-generated code, it catches a common problem: suggestions that import vulnerable package versions or use patterns with known security implications. - Source: dev.to / 3 months ago
Worth knowing: If supply chain risk is a recurring concern for your stack, look into Socket or Snyk. Both offer malicious package detection that goes beyond standard vulnerability scanning by analysing package behaviour rather than just matching against known CVEs. Npm audit tells you about published advisories. These tools flag suspicious patterns before an advisory exists. Both have free tiers suitable for open... - Source: dev.to / 4 months 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
Aikido Security - Secure your code, cloud, and runtime in one central system. Find and fix vulnerabilities fast and automatically.
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.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Qualys - Qualys helps your business automate the full spectrum of auditing, compliance and protection of your IT systems and web applications.
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.
