GoldenMatch

vgoldenmatch-js-v0.8.0 scope: goldenmatch-js Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 2mo Data Pipelines & ETL

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

data-cleaning data-engineering data-matching data-quality deduplication entity-resolution

+14 more

fellegi-sunter fuzzy-matching knowledge-graph llm master-data-management mcp-server polars pprl python record-linkage rust splink typescript zero-config

Summary

AI summary

Adds TypeScript identity graph API (goldenmatch.identity.*) and in-memory store.

Full changelog

Identity Graph (edge-safe core)

Adds goldenmatch.identity.* to the TypeScript port (Python parity for v1.15.0):

InMemoryIdentityStore (edge-safe; SQLite-backed Node store is a v0.9 follow-up)
IdentityNode, SourceRecord, EvidenceEdge, IdentityEvent, IdentityAlias types
newEntityId() UUIDv7 helper
Query helpers: findByRecord, getEntity, listEntities, manualMerge, manualSplit

Pipeline-driven population stays Python-only in v0.8.0; the TS port can read/write a manually populated graph via the in-memory store. Persistent SQLite backend is on the v0.9 roadmap.

13 new vitest tests; tsc --noEmit strict-mode clean.

🤖 Generated with Claude Code

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Earlier breaking changes

v3.1.0 `GOLDENMATCH_FRAME=polars` now requires the `[polars]` extra; raises error without it.
vgoldencheck-v3.0.0 `inferred_type` emits neutral dtype vocabulary (str/int/uint/float/date/datetime/bool/other) instead of raw Polars dtypes.
vgoldencheck-v3.0.0 'inferred_type' now emits a neutral dtype vocabulary instead of raw Polars dtype strings.
vgoldencheck-v3.0.0 `scan_file`, `scan_dataframe`, and CLI `check` now run without Polars, using Arrow-native pyarrow.Table.
v3.0.0 Result frames now return pyarrow.Table instead of Polars DataFrame.