Open Source Intelligence (OSINT) is the practice of gathering information from publicly available sources to support intelligence and security operations. In recent years, Python has become a popular choice for building OSINT tools due to its simplicity, flexibility, and extensive libraries.
Pandas is one of the most widely used data manipulation and analysis libraries in Python. It provides data structures such as Series (1-dimensional labeled array) and DataFrames (2-dimensional labeled data structure with columns of potentially different types). These data structures are ideal for handling large datasets, which is common in OSINT.
NumPy (Numerical Python) is a library for working with arrays and mathematical operations. It provides an N-dimensional array object, support for large, multi-dimensional arrays and matrices, and high-level mathematical functions to operate on these arrays.
Scikit-learn is a machine learning library that provides a wide range of algorithms for classification, regression, clustering, and other tasks. It is widely used in OSINT for tasks such as text classification, sentiment analysis, and anomaly detection.
Beautiful Soup is a Python library used for web scraping. It creates a parse tree from page source code that can be used to extract data in a hierarchical and more readable manner.
Scrapy is another popular Python web scraping framework that provides a flexible and efficient way to extract data from websites. It supports both synchronous and asynchronous requests, allowing for faster scraping speeds.
spaCy is a modern natural language processing library that focuses on performance and ease of use. It includes high-performance, streamlined processing of text data, including tokenization, entity recognition, and language modeling.
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at computer vision tasks. It provides both Python bindings for the C++ version of OpenCV and Java bindings for the C++ version, as well as a Python interface to the ITK library.
Matplotlib is a plotting library for creating static, animated, and interactive visualizations in python. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
Seaborn is a visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
Plotly is an interactive visualization library that allows you to create web-based interactive plots, charts, and graphs. It supports a wide range of data formats including JSON, CSV, Excel, and more.