JavaScript and TypeScript SDK for sending errors, logs, metrics, transactions, spans, and check-ins to Logister.
A Medusa plugin for Logister.
Enterprise Logistics MCP Server — shipments, carriers, tracking, route optimization, and warehouse management with ShipEngine, Shippo, Sendy (Africa), and Google Maps
Generated Rust client for eBay Sell Logistics API - shipping quotes and logistics
Track your packages from all over the world. Supports logicsitcs from DHL, UPS, FedEx, USPS, and more.
A Machine Learning framework for Rust
Propensity score estimation via logistic regression, with zero-aware quantile binning for matching workflows.
Logistics solver integrating VRP, matrix routing, and H3 spatial partitioning for the Loxi network
Zero-copy buffer abstraction. Handles raw byte streams without allocation overhead.
Rust bindings over the Innovate functional kernel
DLMM bonding curve
Machine Learning algorithms that are based on regression techniques
A Rust toolbox focusing on trade and logistics that currently provides HS Code verification and conversion capabilities
Statistical modeling for Rust — OLS/WLS regression, GLM, survival analysis, ARIMA/VAR, nonparametric tests, and more. A statsmodels-style library.
Ruby and Rails client for reporting errors, logs, metrics, transactions, spans, and check-ins to the Logister backend, including self-hosted installs.
Ozon logistics
logistics interface.
Full-featured application for managing hackathon logistics
This gem provides an interface for the SQUAKE API to calculate and compensate carbon emissions.
A Ruby library for text classification featuring Naive Bayes, LSI (Latent Semantic Indexing), Logistic Regression, and k-Nearest Neighbors classifiers. Includes TF-IDF vectorization, streaming/incremental training, pluggable persistence backends, thread safety, and a native C extension for fast LSI operations.
Core classes for MKS logistics applications
Metaheuristics for Logistics Problems
Ruby API wrapper for RLM logistics
Client for IML logistics service API
This gem implements: 1.) a logistic map function (#logistic_map), which is a discrete, non-linear, dynamic equation which can show - with proper parameters - chaotic behaviour with super-sensitivity to the initial parameters. Very small changes to initial parameters cause huge changes in the result (can be used as a PRNG as iterated over and over); 2.) A tent-map version of the logistic map (#logistic_points) which returns an array of Nth iterated values of several logistic maps with their initial X0 parameter ranging from 0 to 1 by user defined steps, showing curve-like properties when plotted.
Client for CDEK logistics service API
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