# DPK Python Transforms
## installation
The [transforms](https://github.com/data-prep-kit/data-prep-kit/blob/dev/transforms/README.md) are delivered as a standard pyton library available on pypi and can be installed using pip install:
`python -m pip install data-prep-toolkit-transforms[all]`
or
`python -m pip install data-prep-toolkit-transforms[ray, all]`
or
`python -m 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)
Raw data
{
"_id": null,
"home_page": null,
"name": "data-prep-toolkit-transforms",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.13,>=3.10",
"maintainer_email": null,
"keywords": "transforms, data preprocessing, data preparation, llm, generative, ai, fine-tuning, llmapps",
"author": null,
"author_email": "Maroun Touma <touma@us.ibm.com>",
"download_url": null,
"platform": null,
"description": "# DPK Python Transforms\n\n## installation\n\nThe [transforms](https://github.com/data-prep-kit/data-prep-kit/blob/dev/transforms/README.md) are delivered as a standard pyton library available on pypi and can be installed using pip install:\n\n`python -m pip install data-prep-toolkit-transforms[all]`\nor\n`python -m pip install data-prep-toolkit-transforms[ray, all]`\nor\n`python -m pip install data-prep-toolkit-transforms[language]`\n\n\ninstalling the python transforms will also install `data-prep-toolkit`\n\ninstalling the ray transforms will also install `data-prep-toolkit[ray]`\n\n## Release notes:\n\n### 1.1.1.dev1\n\tInclude all code transforms as extra [code]\n\n### 1.1.1.dev0\n\tRefactored code transforms (code_uality, code2parquet, header_cleanser, license select, proglang_select)\n\tAdded ml-filter and enrichment\n\trenamed PDF2Parquet to Docling2Paruqet \n\n### 1.0.1.dev1\n\tAdded Gneissweb transforms\n\tfdedup fix for windows\n### 1.0.1.dev0\n\tPR #979 (code_profiler)\n### 1.0.0.a6\n\tAdded Profiler\n\tAdded Resize\n### 1.0.0.a5\n\tAdded Pii Redactor\n\tRelax fasttext requirement >= 0.9.2\n### 1.0.0.a4\n\tAdded missing ray implementation for lang_id, doc_quality, tokenization and filter\n\tAdded ray notebooks for lang id, Doc Quality, tokenization, and Filter\n### 1.0.0.a3\n\tAdded code_profiler\n### 1.0.0.a2\n Relax dependencies on pandas (use latest or whatever is installed by application)\n Relax dependencies on requests (use latest or whatever is installed by application)\n\n\n\n \n",
"bugtrack_url": null,
"license": "Apache-2.0",
"summary": "Data Preparation Toolkit Transforms using Ray",
"version": "1.1.2.post1",
"project_urls": null,
"split_keywords": [
"transforms",
" data preprocessing",
" data preparation",
" llm",
" generative",
" ai",
" fine-tuning",
" llmapps"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "9d9f5d97f9bd4b8ad40b2db4eaacd29c1c8546aef8c6140b0942cdad92d43fb5",
"md5": "6db7a775fc47b7afc9b933aa626e6349",
"sha256": "b613db75b90fff2225d347088d5dc66f1a3665cdfacb3e6dc4fbd62563d8bc43"
},
"downloads": -1,
"filename": "data_prep_toolkit_transforms-1.1.2.post1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "6db7a775fc47b7afc9b933aa626e6349",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.13,>=3.10",
"size": 9075644,
"upload_time": "2025-07-16T14:23:35",
"upload_time_iso_8601": "2025-07-16T14:23:35.501404Z",
"url": "https://files.pythonhosted.org/packages/9d/9f/5d97f9bd4b8ad40b2db4eaacd29c1c8546aef8c6140b0942cdad92d43fb5/data_prep_toolkit_transforms-1.1.2.post1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-07-16 14:23:35",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "data-prep-toolkit-transforms"
}