GoldenMatch

vgolden-suite-v0.2.5 scope: golden-suite Breaking

This release includes 2 breaking changes for platform teams planning a safe upgrade.

Published 12d 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

ReleasePort's take

Light signal

editorial:auto 12d

The release updates minimum runtime versions: goldenmatch[polars] to >=3.3 and goldenmatch-native to >=0.1.15.

Why it matters: Projects depending on goldenmatch must ensure their builds use polars version 3.3 or higher and native version 0.1.15 or higher; failure triggers runtime failures.

Summary

AI summary

Minimum runtime versions bumped to goldenmatch[polars]>=3.3 and goldenmatch-native>=0.1.15.

Changes in this release

Type	Severity	Summary	CVE
Dependency	Medium	Bump goldenmatch[polars] dependency to version >=3.3. Bump goldenmatch[polars] dependency to version >=3.3. Source: llm_adapter@2026-07-15 Confidence: high	—
Dependency	Medium	Bump goldenmatch-native dependency to version >=0.1.15. Bump goldenmatch-native dependency to version >=0.1.15. Source: llm_adapter@2026-07-15 Confidence: high	—

Full changelog

Floor bump: goldenmatch[polars]>=3.3 (FS negative evidence on probabilistic matchkeys, Splink migration upgrade pass incl. the fan-out/NE lever) and goldenmatch-native>=0.1.15 (native FS negative evidence + fused N-level banding, FS_SUPPORTS_NE).

Breaking Changes

Minimum required version of goldenmatch[polars] raised to 3.3 (introduces FS negative evidence on probabilistic matchkeys and Splink migration upgrade pass).
Minimum required version of goldenmatch-native raised to 0.1.15 (adds native FS negative evidence, fused N-level banding, and FS_SUPPORTS_NE support).

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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.