GoldenMatch

v0.4.0 Feature

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

Published 4mo 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

Added CI/CD pipeline and documented the public API surface for upcoming v1.0 stability.

Full changelog

Phase 0 of the v1.0.0 Roadmap

This release establishes the foundation for GoldenMatch's path to 1.0: automated CI/CD, a defined public API surface, and a changelog.

Added

CI/CD pipeline -- automated tests on Python 3.11/3.12/3.13, ruff lint, and smoke test on every push and PR
API stability document -- docs/api-stability.md defines the public API surface (19 CLI commands, config schema, core functions, REST endpoints, MCP tools) ahead of the v1.0 semver commitment
CHANGELOG.md -- retroactive entries for v0.3.0 and v0.3.1, Keep a Changelog format
PEP 561 py.typed marker -- type checkers (mypy, pyright) now recognize GoldenMatch's type annotations

What's Next

v0.5.0: In-context LLM clustering + uncertainty scores
v0.6.0: Privacy-preserving record linkage (multi-party SMC)
v1.0.0: API freeze, production-stable release

Install / Upgrade

pip install --upgrade goldenmatch

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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.