sagemaker-datawrangler
Amazon SageMaker Data Wrangler Library
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later; designed for use within SageMaker environments or notebooks with ipywidgets support.
- 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 · maintenance · safety
AWS Customer Agreement (unclear) — 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.
last release 2023-06-10 (1161 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 579,019 downloads/mo, #5,920 on PyPI
Alternatives
Verify before relying
pip install sagemaker-datawrangler
import sagemaker_datawrangler
from ipywidgets import interact- 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.
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 The library was last updated on 2023-06-10 and is no longer actively maintained.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 on it.
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
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.
Requires Python 3.7 or later; designed for use within SageMaker environments or notebooks with ipywidgets support.
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 interactVerify 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 packagessagemaker-data-insightsipywidgets |
| 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 |
| Classifiers | Programming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: sagemaker_datawrangler-0.4.3-py3-none-any.whl
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See also sagemaker · sagemaker-train · sagemaker-feature-store-pyspark-3.1 · sagemaker-feature-store-pyspark-3.3 · sagemaker-data-insights · sagemaker-serve · sagemaker-core · sagemaker-feature-store-pyspark · stepfunctions · sagemaker-studio