GoldenMatch

vgoldenmatch-native-v0.1.19 scope: goldenmatch-native Maintenance

This release keeps dependencies and maintenance posture current for teams operating this tool.

Published 7d 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

Minor fixes and improvements.

Changes in this release

Type	Severity	Summary	CVE
Dependency	Low	Compiled polars runtime included in goldenmatch‑native 0.1.19. Compiled polars runtime included in goldenmatch‑native 0.1.19. Source: llm_adapter@2026-07-19 Confidence: high	—

Full changelog

goldenmatch-native 0.1.19 -- compiled polars runtime. Wheels built + uploaded to PyPI by publish-goldenmatch-native.yml.

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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.