data-prep-toolkit-transforms 1.1.7.dev6

Data Preparation Toolkit Transforms using Ray

DPK Python Transforms

installation

The transforms are delivered as a standard pyton library available on pypi and can be installed using uv pip install: pip install uv

python -m uv pip install data-prep-toolkit-transforms[all] or python -m uv pip install data-prep-toolkit-transforms[ray, all] or python -m uv pip install data-prep-toolkit-transforms[language]

installing the python transforms will also install data-prep-toolkit

installing the ray transforms will also install data-prep-toolkit[ray]

Release notes:

1.1.1.dev1

Include all code transforms as extra [code]

1.1.1.dev0

Refactored code transforms (code_uality, code2parquet, header_cleanser, license select, proglang_select)
Added ml-filter and enrichment
renamed PDF2Parquet to Docling2Paruqet 

1.0.1.dev1

Added Gneissweb transforms
fdedup fix for windows

1.0.1.dev0

PR #979 (code_profiler)

1.0.0.a6

Added Profiler
Added Resize

1.0.0.a5

Added Pii Redactor
Relax fasttext requirement >= 0.9.2

1.0.0.a4

Added missing ray implementation for lang_id, doc_quality, tokenization and filter
Added ray notebooks for lang id, Doc Quality, tokenization, and Filter

1.0.0.a3

Added code_profiler

1.0.0.a2

Relax dependencies on pandas (use latest or whatever is installed by application) Relax dependencies on requests (use latest or whatever is installed by application)