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sagemaker-datawrangler

Amazon SageMaker Data Wrangler Library

sagemaker-datawrangler v0.4.3 579.0K downloads/30d#5,920 on PyPI
License unclear AWS Customer Agreement Abandoned released

What it is and what it does

sagemaker-datawrangler is a Python library published by Amazon for data preparation tasks within the SageMaker platform. It integrates with ipywidgets for interactive notebook-based workflows and depends on sagemaker-data-insights for underlying data operations. The library was last updated on 2023-06-10 and is no longer actively maintained.

The package is positioned for developers working within AWS SageMaker environments who need to prepare and transform data interactively. However, its abandoned status means no bug fixes, security updates, or feature development will occur. Users should assess whether the current version meets their needs and whether they can maintain it independently if issues arise.

Use it for:

  • Interactive data preparation workflows in SageMaker Jupyter notebooks using ipywidgets for UI controls.
  • Integrating data transformation pipelines with SageMaker's data insights and analytics features.
  • Exploratory data analysis and cleaning within AWS SageMaker Studio or notebook environments.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Provides a Python library for Amazon SageMaker Data Wrangler, enabling data preparation and transformation workflows within the SageMaker ecosystem.

No—do not install. The package is abandoned (last release 1161 days ago), has an unclear non-standard license (AWS Customer Agreement), and no active maintenance. Unless you are maintaining legacy SageMaker workflows that specifically depend on this exact version, use current AWS data preparation tools or actively maintained alternatives. The combination of abandonment and unclear licensing makes this unsuitable for new projects.

Install

sagemaker-datawrangler on PyPI

pip

pip install sagemaker-datawrangler

uv

uv add sagemaker-datawrangler

poetry

poetry add sagemaker-datawrangler

Installing sagemaker-datawrangler

Before you install

Installation friction is low, but the package is abandoned—last release was 2023-06-10, over 1161 days ago. No active maintenance or updates are expected.

License in practice

Licensed under AWS Customer Agreement, which is not a standard open-source license. The legal implications for use, modification, and redistribution are unclear and should be reviewed against your use case and AWS terms.

Quickstart

pip install sagemaker-datawrangler

import sagemaker_datawrangler
from ipywidgets import interact

Requires Python 3.7 or later; designed for use within SageMaker environments or notebooks with ipywidgets support.

Verify before relying

  • Whether the AWS Customer Agreement license permits commercial use, redistribution, or modification in your context.
  • Current compatibility with modern SageMaker and AWS SDK versions, given the package's abandoned status.
  • Whether sagemaker-data-insights and ipywidgets versions are pinned or have known compatibility constraints.

Package facts

License AWS Customer Agreement (unclear)
Python support supports the current Python release (>=3.7)
Install friction low — pure-Python wheel
Runtime dependencies 2 — sagemaker-data-insights, ipywidgets
Maintenance abandoned — 1,161 days since the last release
First released
Downloads 579,019/month — #5,920 on PyPI (30-day window, as of 2026-08-14)
Known vulnerabilities none known (OSV.dev, checked 2026-08-14)

Evidence: sagemaker_datawrangler-0.4.3-py3-none-any.whl

Keywords: Python

Programming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Tags

sagemaker data wrangleraws data preparationsagemaker data transformationaws data wrangling librarysagemaker data processinginteractive data preparation aws
aws-sagemakerabandoned

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