ImmuniWeb VS NumPy
Compare ImmuniWeb VS NumPy and see what are their differences
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ImmuniWeb
Pulse Secure
Flexera Software Vulnerability Manager
StackPath
Avast
Castle
Sakurity
Netsparker
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
ImmuniWeb SA is a global application security company headquartered in Geneva, Switzerland. The company is profitable, cashflow positive and rapidly growing since its incorporation in 2019. The award-winning ImmuniWeb® AI Platform helps over 1,000 customers from more than 50 countries to discover, test and protect their web and mobile applications, APIs and micro services, cloud and network infrastructure, and third-party systems processing corporate data.
Providing one of the most comprehensive offering in the industry, the Platform covers 20 use cases related to cybersecurity, compliance and privacy, including Attack Surface Management, Dark Web Monitoring, Web and Mobile Penetration Testing, Cyber Threat Intelligence, Third-Party Risk Management, and more. ImmuniWeb’s proprietary technology is a recipient of numerous awards and industry recognitions for practical usage of AI, including Gartner Cool Vendor, IDC Innovator and SC Awards Europe. Our Machine Learning technology stack considerably reduces application security costs of our customers by intelligent automation of laborious and time-consuming tasks, significantly accelerating those tasks in parallel.
Our free Community Edition helps SMEs, universities and municipal governments to test their cybersecurity, privacy and compliance at no cost, currently running over 100,000 daily tests. ImmuniWeb also contributes to sustainable development of the cybersecurity industry via its strategic partnerships with such organizations as the UN ITU, CyberPeace Institute, national CERTs and law enforcement agencies.
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ImmuniWeb's answer
ImmuniWeb SA is a global application security company headquartered in Geneva, Switzerland. The company is profitable, cashflow positive and rapidly growing since its incorporation in 2019. The award-winning ImmuniWeb® AI Platform helps over 1,000 customers from more than 50 countries to discover, test and protect their web and mobile applications, APIs and micro services, cloud and network infrastructure, and third-party systems processing corporate data.
ImmuniWeb's answer
Companies and organizations of all sizes.
ImmuniWeb's answer
AI, Machine Learning
ImmuniWeb's answer
ImmuniWeb's answer
ImmuniWeb leverages the award-winning AI technology for intelligent automation and acceleration of laborious tasks and processes, saving as much as 90% of human time compared to traditional MSSPs. Our security experts handle only to the most complicated tasks and processes that truly deserve human intelligence thereby offering the best quality and best price of service on the global market.
ImmuniWeb's answer
Providing one of the most comprehensive offering in the industry, the Platform covers 20 use cases related to cybersecurity, compliance and privacy, including Attack Surface Management, Dark Web Monitoring, Web and Mobile Penetration Testing, Cyber Threat Intelligence, Third-Party Risk Management, and more. ImmuniWeb’s proprietary technology is a recipient of numerous awards and industry recognitions for practical usage of AI, including Gartner Cool Vendor, IDC Innovator and SC Awards Europe. Our Machine Learning technology stack considerably reduces application security costs of our customers by intelligent automation of laborious and time-consuming tasks, significantly accelerating those tasks in parallel.
Based on our record, NumPy seems to be more popular. It has been mentiond 107 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.
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
Pulse Secure - Pulse Secure provides a consolidated offering for access control, SSL VPN, and mobile device security. Contact Pulse Secure at 408-372-9600 to get a free demo.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Flexera Software Vulnerability Manager - Flexera Software Vulnerability Manager provides solutions to continuously track, identify and remediate vulnerable applications.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
StackPath - Secure Content Delivery Network, DDoS, WAF Service
OpenCV - OpenCV is the world's biggest computer vision library