A web scraper written in Python to gather trade data for India across commodities and countries
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Updated
Nov 2, 2022 - Jupyter Notebook
A web scraper written in Python to gather trade data for India across commodities and countries
AI-powered Harmonized System (HS) nomenclature toolkit for classification, retrieval, and customs reasoning.
Write friendly SQL, compile it to genuine ASYCUDA World (SYDONIA) customs SQL you can run read-only. A fully-sourced PostgreSQL reference model + query compiler + docs + Agent Skills for customs analytics, ML & selectivity.
Open-source deterministic HTS classification engine implementing GRI rules with explainable decision logic for international trade compliance.
Open database of Harmonized System (HS) tariff codes for apparel and textiles
Rule-based HS code classification engine — AI at build time, deterministic at runtime. 20 chapters, <100ms, zero runtime dependencies.
An Open-Source HS Code Classification and Commodity Search Tool
A code-first engineering reference for automated customs brokerage & HS code classification pipelines — HTS mapping, duty calculation, document ingestion, and CBP ACE transmission.
An implementation for the Gravitational Models of Trade. A system for creating the bilateral trade flow between a country pair to zero.
An AI-powered agent for classifying products under the Harmonized System and Combined Nomenclature using the German Electronic Customs Tariff (EZT).
Vietnamese HS Code Classification API - Free, open-source REST API for searching Explanatory Notes
Code to process industrial product codes from ASI (Annual Survey of Industries, India) i.e. NPCMS codes and match them to HS (harmonized system) codes via semantic aware flows
Harmonized-system (HS) codes in multiple European languages
NCM (Nomenclatura Comum do Mercosul) codes, their descriptions and hierarchy in formats easy to parse.
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