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Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

A full-featured Swift library for JOSE standards with first-class support for CryptoKit keys, providing JWS, JWT, SD-JWT, and JWE with signing, encryption, and JWK key management.

  • jsonwebtoken
  • jws
  • jwt
  • json-web-key

A PE (Portable Executable) packer with Huffman Compression and Xor encryption.

  • huffman-compression
  • huffman-algorithm
  • pe-header
  • packer

Wagtail Gridder is a Bootstrap 4 enabled layout for the Wagtail CMS. Grid Items are created within categories, and displayed on a Grid Index Page. The JavaScript libraries Gridder and MixItUp are included.