Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python
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Updated
Aug 13, 2026 - Python
Data-structure definition/validation/traversal, mapping and serialisation toolkit for Python
python data-science algorithms data-processing data-reduction aggregation similarity-analysis
Odin for Python 3. Ground up refresh built with Python 3 (>=3.5) in mind.
Python JOLT library for JSON-to-JSON transformation, ETL pipelines, and data mapping
Universal contact field mapper for Python and JavaScript. Routes messy contact data from any CRM, CSV, or email platform into one clean canonical schema.
Library for sculpting objects from others
HHA507 / Data Science / Assignment 9 / ML Data Prep
LLM agent for mapping arbitrary clinical data into FHIR resources.
Interoperability enabler component for SEDIMARK
Mapping of the Global Partnership for Effective Development Cooperation (GPEDC) monitoring framework where open data resources (including the IATI Standard) can enhance the framework's methodology.
A high-performance, multi-threaded file system reconnaissance and directory mapping utility. Engineered with PyQt5 to support deep archive inspection (ZIP/APK/JAR), MIME detection, and structural telemetry exports.
Versionable enterprise mapping specifications with validation, lineage, change analysis, and generated tests.
Automated Function Fitting And Data Mapping Project
Map Shopify, Amazon SP-API and TikTok Shop order/shipment payloads to one schema via YAML rules, with a unified timeline
solve time-series data mapping problems & refactor data-lake
The purpose of this program is to map the UFS app builds to regression test to build's required data.
AI-assisted, local-first engine that automatically maps messy data to your canonical schema — with a confidence score and a plain-English reason for every match. Profiles, validates, and detects schema drift. No data leaves your machine.
Map multiple platforms/formats (CSV, JSON, SQL, Parquet) onto one canonical model, with business rules.
🌉 W4H ImportHub - An intuitive tool designed to effortlessly bridge the gap between your offline datasets and the W4H platform. From seamless CSV integration to smart data mappings, step into the expansive world of W4H with ease.
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