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4,705–4,728 of 6,296 · Most stars

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.

Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.

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.

ThreatTracker is a Python script designed to monitor and generate alerts on given sets of indicators of compromise (IOCs) indexed by a set of Google Custom Search Engines.

Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.

Python package for analysis of multiomic single cell RNA-seq and ATAC-seq.

A python3 library for performing an enhanced scapy Multi-Traceroute (MTR) with resulting SVG visual.