v1.0.0 — first stable release

freshdata-cleaner 1.0.0 — first stable release 🎉

pip install freshdata-cleaner · import freshdata as fd

The public API is now stable under Semantic Versioning — breaking changes will require a 2.0. No behavioral changes versus 0.5.0; the package is promoted to Production/Stable.

Stable surface: fd.clean, fd.profile, fd.suggest_plan, fd.compare_plans, fd.compare_clean, fd.explain_clean, fd.infer_roles, fd.Cleaner, fd.CleanConfig, fd.CleanReport/fd.Action, fd.Profile, and the lazy freshdata.enterprise layer.

Docs: https://freshcode-org.github.io/freshdata/ · Full changelog: https://github.com/FreshCode-Org/freshdata/blob/main/CHANGELOG.md

v0.5.0 — discoverability & docs release

freshdata-cleaner 0.5.0 — discoverability & docs release

Install: pip install freshdata-cleaner · Import: import freshdata as fd

Added

• Documentation site (MkDocs Material) at https://freshcode-org.github.io/freshdata/ — installation, quickstart, cleaning engine, profiling, auto-generated API reference, benchmarks, FAQ, contributing; search, dark/light, OpenGraph, sitemap, robots.
• 8 runnable examples/ + 3 reproducible notebooks/.
• Packaging governance: MANIFEST.in, SECURITY.md, RELEASE.md, .pre-commit-config.yaml, tag-triggered release workflow, docs-deploy workflow, issue-template chooser.
• Expanded PyPI keywords/classifiers + Documentation URL for discoverability.

Notes

• The PyPI distribution name remains freshdata-cleaner (the bare name freshdata is unavailable on PyPI); the import name is freshdata.

Full changelog: https://github.com/FreshCode-Org/freshdata/blob/main/CHANGELOG.md

Release v0.4.0

Release Notes — freshdata-cleaner v0.4.0 (Enterprise)

We are thrilled to announce the official release of freshdata-cleaner version 0.4.0! This release introduces the new Enterprise Layer, designed to extend our rule-based data cleaning engine to larger enterprise data-science workloads, data quality checking, and lineage tracking.

What's New in v0.4.0

1. Enterprise Cleaning Layer (freshdata.enterprise)

• enterprise.Cleaner: Orchestrates large-scale data cleaning pipelines across heterogeneous source types with high-performance execution.
• Lineage Tracking (lineage.py): Automatically maps and tracks the flow and modifications of your columns and values as they pass through the cleaning steps.
• Data Quality Metrics (metrics.py): Calculates statistical profiles, compares distributions, and exports machine-learning-ready data-quality dashboards.

2. Command-Line Interface (CLI)

• A new CLI tool freshdata is now registered on your PATH.
• Supported subcommands:
  • freshdata clean — Clean datasets directly from your terminal.
  • freshdata profile — Profile datasets and print formatting issues.
  • freshdata trust — Run sanity checks and verify schema configurations.

3. CI and Robustness Upgrades

• Upgraded the test coverage threshold constraint to 93% (currently reaching 95.26% coverage over 824 unit tests).
• Adjusted warning filters to cleanly isolate third-party deprecations, ensuring a zero-warning bar for freshdata internal code.
• Relaxed local performance/benchmark baseline check tolerances to ensure test runner stability.

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Installation

pip install freshdata-cleaner==0.4.0