simdjson-feedstock VS pysimdjson-feedstock

Compare simdjson-feedstock vs pysimdjson-feedstock and see what are their differences.

simdjson-feedstock

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

pysimdjson-feedstock

A conda-smithy repository for pysimdjson. (by conda-forge)
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simdjson-feedstock pysimdjson-feedstock
1 1
0 0
- -
7.3 5.0
about 1 month ago about 2 months ago
CMake
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
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?

pysimdjson-feedstock

Posts with mentions or reviews of pysimdjson-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?

What are some alternatives?

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

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

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

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

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

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

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 📐

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