Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
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Updated
Mar 20, 2026 - C++
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
Performance-portable, length-agnostic SIMD with runtime dispatch
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Agenium Scale vectorization library for CPUs and GPUs
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
A lightning-fast memory pattern scanner, capable of scanning gigabytes of data per second
➗ SIMD-accelerated bitwise hamming distance Python module for hexadecimal strings
📚 Provides a handy way to hash data using Adler32, CRC (8-bit to 82-bit, and customizable without bit restriction), MD5, SHA-1, SHA-2 and SHA-3 (256-bit, 384-bit and 512-bit), including HMAC keyed hashing for some types. Functions for encrypting and decrypting data with Rijndael (128-bit, 192-bit and 256-bit) are also offered
Bilinear image filtering implemented with SSE4, AVX2 and AVX512.
Minify JSON files fast! Supports Comments. Uses D, C, and AVX2 and SSE4_1 SIMD.
A GPU-based Graph500 implementation providing compressed data movements.
A collection of high speed non-cryptographic hashing algorithms
Fast CRC32C calculations in Swift. Using the Intel SSE 4.2 hardware acceleration if possible.
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