NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
Figure Eight
Checkmarx
SonarQube
Coverity Scan
Veracode
Appknox
HCL AppScan
Acunetix Vulnerability Scanner
Netsparker
CheckmarxBased on our record, NumPy seems to be a lot more popular than Checkmarx. While we know about 119 links to NumPy, we've tracked only 3 mentions of Checkmarx. 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.
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
Tools like SonarQube, Checkmarx, or Snyk can automate parts of this process by scanning for known vulnerability patterns. While white box testing may not reflect real-world attack scenarios (as attackers rarely access source code), it provides the most thorough assessment of security posture. - Source: dev.to / about 2 months ago
Automate security testing: Use tools such as OWASP ZAP, SonarQube, or Checkmarx to automate security testing. This will help you identify security issues early in the development process and reduce the risk of vulnerabilities being introduced into your code. - Source: dev.to / over 2 years ago
Application Security (AppSec) is the forte of Checkmarx, which is an award-winning AppSec Testing tool that integrates security policies into the DevOps workflow and ensures security across the application lifecycle. Checkmarx scans all your code and provides actionable insights for critical vulnerabilities. Checkmarx also offers developer-friendly AppSec training that makes the transition to DevSecOps more... - Source: dev.to / over 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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.
OpenCV - OpenCV is the world's biggest computer vision library
Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Veracode - Veracode's application security software products are simpler and more scalable to increase the resiliency of your application infrastructure.