GoldenMatch

vinfermap-v0.5.0 scope: infermap Feature

This release adds 1 notable feature for engineering teams evaluating rollout.

Published 1mo 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

New identity feeder write_aliases_from_mapping adds optional alias writing to GoldenMatch IdentityStore

Changes in this release

Type	Severity	Summary	CVE
Feature
Feature	Low	Adds new identity feeder write_aliases_from_mapping Adds new identity feeder write_aliases_from_mapping Source: llm_adapter@2026-06-04 Confidence: high	—
Feature	Low	Writes per-record identity aliases into GoldenMatch IdentityStore from InferMap MapResult. Writes per-record identity aliases into GoldenMatch IdentityStore from InferMap MapResult. Source: granite4.1:30b@2026-06-04-audit Confidence: low	—
Feature	Low	Identity feeder is optional and gated by goldenmatch configuration. Identity feeder is optional and gated by goldenmatch configuration. Source: granite4.1:30b@2026-06-04-audit Confidence: low	—
Refactor	Low	Widened public `__all__` in packages/python/infermap module. Widened public `__all__` in packages/python/infermap module. Source: granite4.1:30b@2026-06-04-audit Confidence: low	—

Full changelog

Minor release. New identity feeder (write_aliases_from_mapping, AliasWriteResult) that writes per-record identity aliases into a GoldenMatch IdentityStore from an InferMap MapResult; optional and goldenmatch-gated. Widened public all. See packages/python/infermap/CHANGELOG.md (0.5.0).

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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.