Zero-config entity resolution & record linkage. The zero-tuning Fellegi-Sunter path beats hand-tuned Splink head-to-head and scales from a CSV to a verified 100M-row dedupe in 9.2 min. Fuzzy/exact/probabilistic + PPRL + LLM + identity graph. Python + edge-safe TypeScript (WASM), SQL-native in Postgres & DuckDB, MCP/REST + dbt/Airflow.

Allows Clickhouse to be used as the execution engine for Splink

Fast and simple probabilistic data matching package

Splunk lab detecting SSH brute-force attacks using failed login events, alerts, and dashboards.

Emulates the methods the US Census Bureau uses to link people across multiple data sources, using open-source software (Splink) and simulated data (from pseudopeople).

Probabilistic entity resolution / record linkage / dedup for DuckDB (Python, Splink)

A streamlined workflow for probabilistic entity resolution using Splink.

This repository contains a Python codebase dedicated to cleaning and standardizing CSV data, with a specific focus on preparing the dataset ready for Splink.

Offline-first agentic pipeline that resolves and deduplicates nonprofit constituent records with a human review gate and a consent-aware export.

Entify is an early open-source workspace for entity resolution, record linkage, and data deduplication. It helps teams profile messy datasets, configure Splink-powered matching workflows, and review explainable match clusters.

🔍 Detect SSH brute-force attacks with ease using Splunk, leveraging real-time alerts and visual dashboards from simulated Linux authentication logs.