GoldenMatch

vgoldenflow-v1.4.0 scope: goldenflow Breaking

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

Published 23d 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 ten new checksummed-identifier transforms and an optional WASM/TS acceleration surface.

Full changelog

Wave 0 of the owned-kernel + WASM cross-surface program. Owned Rust kernels (goldenflow-core), reference-mode native loader, 10 new checksummed-identifier transforms (payment card, IBAN, ISBN, EAN, EU VAT), a byte-parity harness, and an opt-in WASM/TS acceleration surface (enableWasm). No breaking changes; existing transform outputs unchanged. Full notes in packages/python/goldenflow/CHANGELOG.md.

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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.