PANDA is an open-source Platform for Architecture-Neutral Dynamic Analysis. It is built upon the QEMU whole system emulator, and so analyses have access to all code executing in the guest and all data. PANDA adds the ability to record and replay executions, enabling iterative, deep, whole system analyses. PANDA can be controlled from the command line, through our Python package, or even a Jupyter notebook.
pandas-dev/pandas: Pandas
Pandas is a powerful data structures for data analysis, time series, and statistics.
REA — Reverse Engineer Anything
Inspect apps, binaries and runtime behavior with your coding agent or terminal. REA connects local analysis tools through CLI and MCP.
Frida • A world-class dynamic instrumentation toolkit
Observe and reprogram running programs on Windows, macOS, GNU/Linux, iOS, watchOS, tvOS, Android, FreeBSD, and QNX
Triton: A dynamic binary analysis library
Triton: A dynamic binary analysis library
Reproducible Execution Environment (REE) | Tech | Gensyn
Run AI model inference in a machine-agnostic environment where the same model and inputs produce the same outputs across supported hardware.
Dynamic Data Science
<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>
angr — the binary analysis platform
The powerful, user-friendly Python platform for analyzing binaries. Decompilation, symbolic execution, and more in one scriptable toolkit.
Data Structures for Statistical Computing in Python
In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets and to provide a set of fundamental building blocks for implementing statistical models.
SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
hugsy/gef
GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging capabilities for exploit devs & reverse engineers on Linux
LIEF - Library to Instrument Executable Formats
LIEF is a cross-platform C++, Python, and Rust library to parse, analyze, modify, assemble, disassemble, and rewrite ELF, PE, Mach-O, and other executable formats.
PDS Operator it's a self hosted dashboard for your PDS. watches labelers and dms you when an account gets flagged. accounts, takedowns, pwd resets, invites, relay status, passkey sign-in, audit log, setup wizard with a qr code. deploy in minutes. tangled.org/brookie.blog/pds-operator
PDS Operator it's a self hosted dashboard for your PDS. watches labelers and dms you when an account gets flagged. accounts, takedowns, pwd resets, invites, relay status, passkey sign-in, audit log, setup wizard with a qr code. deploy in minutes. tangled.org/brookie.blog/pds-operator
