v1.0.2

What's Changed

• chore: relax polars top pin by @fdosani in #527
• fix: handle empty Arrow-backed join keys to prevent merge crashes by @fdosani in #526

Full Changelog: v1.0.1...v1.0.2

v1.0.1

What's Changed

• docs: datacompy update release instructions by @fdosani in #518
• fix: SparkSQLCompare unq_rows have clean column names (#288) by @star11293 in #517
• fix: make Spark backend compatible with spark.sql.ansi.enabled=true (Spark 4.x default) by @fdosani in #519
• bump v1.0.1 by @fdosani in #522
• fix: update Spark versions and add ANSI mode tests for pytest by @fdosani in #524

New Contributors

• @star11293 made their first contribution in #517

Full Changelog: v1.0.0...v1.0.1

v1.0.0

What's Changed

• release: v1.0.0 by @fdosani in #516

Full Changelog: v0.19.5...v1.0.0

Summary

This is the v1.0.0 general availability release of DataComPy, a major version bump from 0.19.x. It introduces a new comparator architecture, sensitive column handling, and several quality-of-life improvements across all backends.

Breaking Changes

• Comparator subpackage (datacompy/comparator/): New strategy-pattern architecture for column comparison logic. Numeric, string, and array comparators are now backend-specific classes (PandasNumericComparator, SparkStringComparator, etc.) rather than inline logic. Custom comparators can be injected into any backend compare class.
• validate_tolerance_parameter is now a public API (renamed from _validate_tolerance_parameter).
• Fugue integration removed.
• Python minimum is now 3.12 (CI/tooling); PySpark dependency split by Python version.
• Snowflake: snowflake-snowpark-python minimum bumped to 1.37.

New Features

• Sensitive column masking across all four backends (Pandas, Polars, Spark, Snowflake) — columns can be hidden or hashed without modifying the original DataFrames.
• Custom comparators — pass a comparator instance per column to any backend for fully custom comparison logic.
• cols_with_mismatches method — programmatic access to the set of mismatching column names.
• cache_intermediates option for SparkSQLCompare — controls intermediate DataFrame caching to tune Spark job performance.
• Pandas 3 support.
• Per-column tolerance as a dict in addition to a global float.

Fixes

• SparkSQLCompare: forbid case-sensitive join columns.
• Snowflake: max_diff now correctly defaults to 0 when None.
• Join columns None handling fixed.

Other

• Jinja2 template-based report rendering.
• Copyright year updated to 2026.
• CLAUDE.md added.
• Dependency ranges updated across all backends.

v1.0.0b4

What's Changed

• Update pandas version constraint in pyproject.toml by @fdosani in #513

Full Changelog: v1.0.0b3...v1.0.0b4

v1.0.0b3

What's Changed

• feat: hide sensitive columns in PandasCompare without modifying original dfs by @sh13m in #494
• Create CLAUDE.md by @fdosani in #504
• chore: v1 bump snowflake-snowpark-python minimum to 1.37 by @sh13m in #505
• fix: SparkSQLCompare forbid case sensitive columns by @sh13m in #508
• feat: hide sensitive columns in PolarsCompare by @sh13m in #502
• feat: hide sensitive columns in SparkSQLCompare by @sh13m in #510
• feat: hide sensitive columns in SnowflakeCompare by @sh13m in #511
• chore: bump version to 1.0.0b3 and update dependencies/maintainers by @fdosani in #512

Full Changelog: v1.0.0b2...v1.0.0b3

v0.19.5

What's Changed

• chore: v0.19 pin snowflake-snowpark-python>=1.37,<=1.47 by @sh13m in #507
• Release v0.19.5 by @fdosani in #509

Full Changelog: v0.19.4...v0.19.5

v1.0.0b2

What's Changed

• fix: Snowflake compare when max_diff is None set to 0. by @fdosani in #501

Full Changelog: v1.0.0b1...v1.0.0b2

v0.19.4

What's Changed

• Release v0.19.4 by @fdosani in #500

Full Changelog: v0.19.3...v0.19.4

v1.0.0b1

What's Changed

• chore: bump version to 1.0.0b1 by @fdosani in #496

Full Changelog: v1.0.0a5...v1.0.0b1

v0.19.3

What's Changed

• Release v0.19.3 by @fdosani in #497

Full Changelog: v0.19.2...v0.19.3