simdjson-feedstock vs paranoid_crypto

simdjson-feedstock

A conda-smithy repository for simdjson. (by conda-forge)

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paranoid_crypto

Paranoid's library contains implementations of checks for well known weaknesses on cryptographic artifacts. (by google)

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simdjson-feedstock		paranoid_crypto
	Project
1	Mentions	6
0	Stars	784
-	Growth	0.1%
7.3	Activity	5.7
about 1 month ago	Latest Commit	27 days ago
CMake	Language	Python
BSD 3-clause "New" or "Revised" License	License	Apache License 2.0

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

simdjson-feedstock

Posts with mentions or reviews of simdjson-feedstock. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-07.

Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
16 projects | news.ycombinator.com | 7 Oct 2023

numpy-feedstock: https://github.com/conda-forge/numpy-feedstock/blob/main/rec...
scipy-feedstock: https://github.com/conda-forge/scipy-feedstock/blob/main/rec...
pysimdjson-feedstock: https://github.com/conda-forge/pysimdjson-feedstock/blob/mai...
simdjson-feedstock: https://github.com/conda-forge/simdjson-feedstock/blob/main/...
mkl_random-feedstock: https://github.com/conda-forge/mkl_random-feedstock https://github.com/google/paranoid_crypto/tree/main/paranoid... :
> NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL
blas: https://github.com/conda-forge/blas-feedstock/blob/main/reci...
xtensor-blas-feedstock: https://github.com/conda-forge/xtensor-blas-feedstock
xtensor-fftw (FFT with xtensor (c++)) could probably be AVX-512 and SVE -optimized as well?

paranoid_crypto

Posts with mentions or reviews of paranoid_crypto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-07.

Scientists Destroy Illusion That Coin Toss Flips Are 50–50
1 project | news.ycombinator.com | 5 Jan 2024
Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
16 projects | news.ycombinator.com | 7 Oct 2023

numpy-feedstock: https://github.com/conda-forge/numpy-feedstock/blob/main/rec...
scipy-feedstock: https://github.com/conda-forge/scipy-feedstock/blob/main/rec...
pysimdjson-feedstock: https://github.com/conda-forge/pysimdjson-feedstock/blob/mai...
simdjson-feedstock: https://github.com/conda-forge/simdjson-feedstock/blob/main/...
mkl_random-feedstock: https://github.com/conda-forge/mkl_random-feedstock https://github.com/google/paranoid_crypto/tree/main/paranoid... :
> NumPy-based implementation of random number generation sampling using Intel (R) Math Kernel Library, mirroring numpy.random, but exposing all choices of sampling algorithms available in MKL
blas: https://github.com/conda-forge/blas-feedstock/blob/main/reci...
xtensor-blas-feedstock: https://github.com/conda-forge/xtensor-blas-feedstock
xtensor-fftw (FFT with xtensor (c++)) could probably be AVX-512 and SVE -optimized as well?
Paranoid project by Google Security Team checks for cryptography weaknesses
1 project | news.ycombinator.com | 26 Aug 2022
Paranoid project checks for well known weaknesses on cryptographic artifacts such as public keys, digital signatures and general pseudorandom numbers.
1 project | /r/netsec | 4 Aug 2022
Paranoid project checks for well known weaknesses on cryptographic artifacts such as public keys, digital signatures and general pseudorandom numbers
2 projects | /r/netsec | 3 Aug 2022

I was trying to figure out from the docs on how you provide the input keys to this library, but the docs are not yet written. Then I looked at some example code, and in there they put the keys into the source code itself. Looks like this library is still in its early phases.

What are some alternatives?

When comparing simdjson-feedstock and paranoid_crypto you can also consider the following projects:

scipy-feedstock - A conda-smithy repository for scipy.

numpy-feedstock - A conda-smithy repository for numpy.

badkeys - Tool to find common vulnerabilities in cryptographic public keys

xtensor-fftw - FFTW bindings for the xtensor C++14 multi-dimensional array library

SimSIMD - Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

mkl_random-feedstock - A conda-smithy repository for mkl_random.

blas-feedstock - A conda-smithy repository for blas.

xtensor-blas-feedstock - A conda-smithy repository for xtensor-blas.