GoldenMatch

vgoldenflow-native-v0.27.0 scope: goldenflow-native Feature

This release adds 3 notable features for engineering teams evaluating rollout.

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

Adds arrow‑native owned auto‑detect profile kernel and numeric‑input operations with a Polars‑free in‑memory execution core.

Changes in this release

Type	Severity	Summary	CVE
Feature	Medium	Adds owned auto-detect profile kernel (arrow-native). Adds owned auto-detect profile kernel (arrow-native). Source: granite4.1:30b@2026-07-17-audit Confidence: low	—
Feature	Low	Implements numeric-input operations: round, clamp, abs_value, fill_zero on columnar path. Implements numeric-input operations: round, clamp, abs_value, fill_zero on columnar path. Source: granite4.1:30b@2026-07-17-audit Confidence: low	—
Performance	Medium	Introduces Polars-free in-memory execution core. Introduces Polars-free in-memory execution core. Source: granite4.1:30b@2026-07-17-audit Confidence: low	—
Other	Low	schema_version schema_version Source: llm_adapter@2026-07-16 Confidence: low	—

Full changelog

Releases the in-tree work since 0.24.0: owned auto-detect profile kernel (arrow-native), numeric-input round/clamp/abs_value/fill_zero on the columnar path, Polars-free in-memory execution core.

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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.