badkeys
paranoid_crypto
| badkeys | paranoid_crypto | |
|---|---|---|
| 2 | 6 | |
| 190 | 783 | |
| 41.6% | 0.0% | |
| 8.1 | 5.7 | |
| 6 days ago | about 1 month ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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badkeys
paranoid_crypto
- Scientists Destroy Illusion That Coin Toss Flips Are 50–50
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Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
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
- Paranoid project checks for well known weaknesses on cryptographic artifacts such as public keys, digital signatures and general pseudorandom numbers.
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Paranoid project checks for well known weaknesses on cryptographic artifacts such as public keys, digital signatures and general pseudorandom numbers
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?
nostr_vanity_npub - Nostr vanity `npub` generator
scipy-feedstock - A conda-smithy repository for scipy.