GoldenMatch

vgoldencheck-v3.2.0 scope: goldencheck Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 10d 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

Fixed EncodingDetectionProfiler regex causing silent failure for all columns.

Changes in this release

Type	Severity	Summary	CVE
Bugfix	Medium	Fixes EncodingDetectionProfiler regex that was silently dead on every column Fixes EncodingDetectionProfiler regex that was silently dead on every column Source: llm_adapter@2026-07-16 Confidence: high	—

Full changelog

Minor release. Fixes EncodingDetectionProfiler regex that was silently dead on every column (#1762). Docs: 3.0.1-3.1.3 perf arc + GOLDENCHECK_SCAN_THREADS.

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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.