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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.
Description
Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.
API Access
Has API
API Access
Has API
Integrations
3LC
Amazon SageMaker Data Wrangler
Avanzai
Codédex
DagsHub
Dash
Flower
Flyte
Giskard
LanceDB
Integrations
3LC
Amazon SageMaker Data Wrangler
Avanzai
Codédex
DagsHub
Dash
Flower
Flyte
Giskard
LanceDB
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
Scapy
Website
scapy.net
Vendor Details
Company Name
pandas
Founded
2008
Website
pandas.pydata.org
Product Features
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics