GoldenMatch

vgoldenflow-v1.13.0 scope: goldenflow Breaking

This release includes 1 breaking change for platform teams planning a safe upgrade.

Published 21d 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

All byte‑parity‑achievable transform families migrated to owned Rust kernels.

Full changelog

Wave D of the owned-kernel + cross-surface program. Completes the migration of
every byte-parity-achievable transform family to owned pyo3-free goldenflow-core
Rust kernels (native + WASM/TS + pure-Python fallback), Rust is the reference.

This release (1.5.0 -> 1.13.0 accumulated on main) migrated: SWIFT/ABA/IMEI
identifiers, name_transliterate/name_script, email, url, numeric, categorical,
the names-remainder family (split_name/merge_name/...), the US-address family
(split_address/state_/zip_normalize/...), the full text family (strip/
collapse_whitespace/normalize_quotes/remove_/truncate/pad_*/normalize_unicode/
lowercase/uppercase/title_case/fix_mojibake/...), and the fuzzy, data-dependent
category_auto_correct. Transform count unchanged (migrations, not additions).

Dates remain intentionally non-native (dateutil's fuzzy + non-deterministic
partial-date behavior is not byte-portable; measured).

Breaking Changes

All listed transform families (SWIFT/ABA/IMEI identifiers, name_transliterate/name_script, email, url, numeric, categorical, names‑remainder family, US‑address family, full text family, fuzzy category_auto_correct) now run exclusively on owned Rust kernels without pyo3 bindings.

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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.