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Description
Fast and adaptable, the concepts of vectorization, indexing, and broadcasting in NumPy have become the benchmark for array computation in the present day. This powerful library provides an extensive array of mathematical functions, random number generators, linear algebra capabilities, Fourier transforms, and beyond. NumPy is compatible with a diverse array of hardware and computing environments, seamlessly integrating with distributed systems, GPU libraries, and sparse array frameworks. At its core, NumPy is built upon highly optimized C code, which allows users to experience the speed associated with compiled languages while enjoying the flexibility inherent to Python. The high-level syntax of NumPy makes it user-friendly and efficient for programmers across various backgrounds and skill levels. By combining the computational efficiency of languages like C and Fortran with the accessibility of Python, NumPy simplifies complex tasks, resulting in clear and elegant solutions. Ultimately, this library empowers users to tackle a wide range of numerical problems with confidence and ease.
Description
Scapy is an advanced, interactive tool designed for packet manipulation. It excels in crafting and interpreting packets across a multitude of protocols, facilitating their transmission, capturing data, and correlating requests with responses, among various other functionalities. This versatile program can efficiently perform traditional tasks such as scanning, tracerouting, probing, unit testing, executing attacks, and discovering networks, effectively replacing tools like hping, a significant portion of nmap, arpspoof, arp-sk, arping, tcpdump, tshark, and p0f. Furthermore, Scapy stands out in executing specialized tasks that other utilities struggle with, including the transmission of invalid frames and the injection of custom 802.11 frames, as well as employing techniques like VLAN hopping combined with ARP cache poisoning or VOIP decoding over WEP-encrypted channels. It is compatible with various operating systems, including Linux, Windows, OSX, and most Unix variants that utilize libpcap. Notably, the same codebase supports both Python 2 and Python 3, showcasing its versatility. The development of Scapy is managed through the Git version control system, with its primary repository available on GitHub, allowing for collaborative improvements and updates. As a result, users benefit from continuous enhancements that keep pace with the evolving landscape of network security and analysis.
API Access
Has API
API Access
Has API
Integrations
3LC
Avanzai
Coiled
Dash
Flower
Gensim
Git
JAX
MPI for Python (mpi4py)
OpenBSD
Integrations
3LC
Avanzai
Coiled
Dash
Flower
Gensim
Git
JAX
MPI for Python (mpi4py)
OpenBSD
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NumPy
Website
numpy.org
Vendor Details
Company Name
Scapy
Website
scapy.net