---
id: sagemaker-datawrangler
version: "0.4.3"
license: AWS Customer Agreement
license_treatment: unclear
maintenance: abandoned
---

# sagemaker-datawrangler — Amazon SageMaker Data Wrangler Library

License: unclear · Maintenance: abandoned · Downloads: 579.0K/mo

## 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 The library was last updated on 2023-06-10 and is no longer actively maintained.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 above — 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

pip install sagemaker-datawrangler
uv add sagemaker-datawrangler
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_current
- Install friction: low
- Maintenance: abandoned
- Downloads: 579.0K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

sagemaker data wrangler, aws data preparation, sagemaker data transformation, aws data wrangling library, sagemaker data processing, interactive data preparation aws, aws-sagemaker, abandoned

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