Anonymize-NLP is a lightweight and robust package for text anonymization. It uses Natural Language Processing (NLP) and Regular Expressions (Regex) to identify and mask sensitive information in a string.,

PGPM export tools for SQL and GraphQL database migration extraction

File upload support for PostGraphile v5

plugin for nlp-compromise

a serverless plugin to forward logs to given lambda function

plugin for nlp-compromise

Es6 class that generates RFC-compliant UUID v5.

PGPM module AST — plan/control/SQL-header parsers and the lossless module read/write layer

Shared protocol kernel (types, event stream, message + JSON helpers) for agentic-kit

Es6 class that generates ETag using the same algorithm as S3 via MD5 sum.

Change-aware SQL transformation for PGPM — superset of @pgsql/transform plus change categorization, fixture closure, and bundle transpile/apply drivers

Configurable BM25 Text Search Engine with simple semantic search support

GraphQL ASTs

upload names

Split a string into an array of sentences.

Library for NLU (Natural Language Understanding) done in Node.js

Realtime subscription plugin for PostGraphile v5 — per-table GraphQL subscriptions via LISTEN/NOTIFY

LLM environment configuration — single source of truth for all LLM-related env vars and defaults

PGPM plan slicing — split a monolithic pgpm plan into packages with pattern strategies and opt-in AST-based dependency closure

🏫 Identify email addresses or domains names that belong to colleges or universities. Help automate the process of approving or rejecting academic discounts.