Data Normalization Python Packages

garmin-running-data-normalizer

Local-first Python CLI that turns Garmin Account Data Export into reproducible running, FIT, sleep, HRV, and training datasets with QA and provenance.

living-memory

Memory for AI systems, as plain tables that any tool, model or person can read, and that any system can share.

snipget-client

Official Python client for the Snipget API - data normalization, parsing, validation, and classification utilities for AI agents and developers.

uma-pydi

The PyDI framework provides methods for end-to-end data integration. The framework covers all steps of the integration process, including schema matching, data translation, entity matching, and data fusion. The framework offers traditional string-based methods as well as modern LLM- and embedding-based techniques for these tasks.

ai-benchmark-analyzer

Analyzes and summarizes AI benchmark results from unstructured text descriptions.

preon

preon (PREcision Oncology Normalization) is a fuzzy search tool for medical entities.

govaitextextract

govaitextextract extracts structured AI/tech initiative data from text for policy, news, and recruitment analysis.