radare2
SciPy
radare2  SciPy  

9  50  
19,971  12,697  
1.1%  1.2%  
9.9  10.0  
7 days ago  6 days ago  
C  Python  
GNU Lesser General Public License v3.0 only  BSD 3clause "New" or "Revised" License 
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radare2

I'm pretty sure this is possible, and would appreciate confirmation/direction.
https://github.com/radareorg/radare2 (You can git clone it, then run the install script)
 Introducing YaRadare  YARA scanning for cloudnative apps (containers)
 Radare2  UNIXlike reverse engineering framework and commandline toolset

reverse engineering/decompiling (with radare2/r2)
Has any one had an luck reverse engineering Pebble binaries? Whilst I've had success editing js code in existing applications I've not had any luck with C code. This is not an area I have a lot of experience but it looks like the disassembly support in radare2 might not be complete. I've opened a ticket https://github.com/radareorg/radare2/issues/20002 but thought it worth posting here to see what experiences people had.

An lsblk like command for OpenBSD
Thanks this is helpful but I think this is just for programs integrated into the OpenBSD os. openbsd_lsblk is a standalone. I think their coding style is similar to the Linux Kernel coding style . but I contribute to project called radare2 (coding style) so I am used to programming their way (except for the space before () in functions that is quite annoying).
 rabin2 for scraping ELF to JSON

That took a wild turn
True story: there is a project called Radare2 (or r2) which recently has been forked as Rizin. The reasons for the fork were many, but one of the things they changed was renaming occurrences in code of words like "anal", "sex", etc.

[Task] Explain C source code
I need you to go through an open source project (https://github.com/radareorg/radare2). I need you to go through this file(https://github.com/radareorg/radare2/blob/master/libr/core/cmd_anal.c) and tell me what the code does. I am a bit rusty reading C source code, hence seeking help. Specifically, I need help understanding the following cases:

Need help interpreting this C function.
Defined here:
SciPy

What Is a Schur Decomposition?
I guess it is a rite of passage to rewrite it. I'm doing it for SciPy too together with Propack in [1]. Somebody already mentioned your repo. Thank you for your efforts.
[1]: https://github.com/scipy/scipy/issues/18566

Fortran codes are causing problems
Fortran codes have caused many problems for the Python package Scipy, and some of them are now being rewritten in C: e.g., https://github.com/scipy/scipy/pull/19121. Not only does R have many Fortran codes, there are also many R packages using Fortran codes: https://github.com/rdevel/rsvn, https://github.com/cran?q=&type=&language=fortran&sort=. Modern Fortran is a fine language but most legacy Fortran codes use the F77 style. When I update the R package quantreg, which uses many Fortran codes, I get a lot of warning messages. Not sure how the Fortran codes in the R ecosystem will be dealt with in the future, but they recently caused an issue in R due to the lack of compiler support for Fortran: https://blog.rproject.org/2023/08/23/willrworkon64bitarmwindows/index.html. Some renowned packages like glmnet already have their Fortran codes rewritten in C/C++: https://cran.rproject.org/web/packages/glmnet/news/news.html

[D] Which BLAS library to choose for apple silicon?
There are several lessons here: a) vanilla condaforge numpy and scipy versions come with openblas, and it works pretty well, b) do not use netlib unless your matrices are small and you need to do a lot of SVDs, or idek why c) Apple's veclib/accelerate is super fast, but it is also numerically unstable. So much so that the scipy's devs dropped any support of it back in 2018. Like dang. That said, they are apparently are bring it back in, since the 13.3 release of macOS Ventura saw some major improvements in accelerate performance.

SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
First, if you read through that scipy issue (https://github.com/scipy/scipy/issues/18118 ) the author was willing and able to relicense PRIMA under a 3clause BSD license which is perfectly acceptable for scipy.
For the numerical recipes reference, there is a mention that scipy uses a slightly improved version of Powell's algorithm that is originally due to Forman Acton and presumably published in his popular book on numerical analysis, and that also happens to be described & included in numerical recipes. That is, unless the code scipy uses is copied from numerical recipes, which I presume it isn't, NR having the same algorithm doesn't mean that every other independent implementation of that algorithm falls under NR copyright.
 numerically evaluating wavelets?
 Fortran in SciPy: Get rid of linalg.interpolative Fortran code

Optimization Without Using Derivatives
Reading the discussions under a previous thread titled "More Descent, Less Gradient"( https://news.ycombinator.com/item?id=23004026 ), I guess people might be interested in PRIMA ( www.libprima.net ), which provides the reference implementation for Powell's renowned gradient/derivativefree (zerothorder) optimization methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA.
PRIMA solves general nonlinear optimizaton problems without using derivatives. It implements Powell's solvers in modern Fortran, compling with the Fortran 2008 standard. The implementation is faithful, in the sense of being mathmatically equivalent to Powell's Fortran 77 implementation, but with a better numerical performance. In contrast to the 7939 lines of Fortran 77 code with 244 GOTOs, the new implementation is structured and modularized.
There is a discussion to include the PRIMA solvers into SciPy ( https://github.com/scipy/scipy/issues/18118 ), replacing the buggy and unmaintained Fortran 77 version of COBYLA, and making the other four solvers available to all SciPy users.
 What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician

Emerging Technologies: Rust in HPC
if that makes your eyes bleed, what do you think about this? https://github.com/scipy/scipy/blob/main/scipy/special/specfun/specfun.f (heh)
 Python
What are some alternatives?
rizin  UNIXlike reverse engineering framework and commandline toolset.
SymPy  A computer algebra system written in pure Python
flarevm  A collection of software installations scripts for Windows systems that allows you to easily setup and maintain a reverse engineering environment on a VM.
statsmodels  Statsmodels: statistical modeling and econometrics in Python
Il2CppInspector  Powerful automated tool for reverse engineering Unity IL2CPP binaries
NumPy  The fundamental package for scientific computing with Python.
capstone  Capstone disassembly/disassembler framework: Core (Arm, Arm64, BPF, EVM, M68K, M680X, MOS65xx, Mips, PPC, RISCV, Sparc, SystemZ, TMS320C64x, Web Assembly, X86, X86_64, XCore) + bindings. [Moved to: https://github.com/capstoneengine/capstone]
Pandas  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
retsync  retsync is a set of plugins that helps to synchronize a debugging session (WinDbg/GDB/LLDB/OllyDbg2/x64dbg) with IDA/Ghidra/Binary Ninja disassemblers.
astropy  Astronomy and astrophysics core library
zydis  Fast and lightweight x86/x8664 disassembler and code generation library
ortools  Google's Operations Research tools: