sagemaker-data-insights

What it is and what it does

sagemaker-data-insights is a SageMaker-integrated library that analyzes datasets and produces statistics relevant to machine learning workflows. It sits on top of standard data science libraries (numpy, pandas, scikit-learn, scipy) and the sagemaker-scikit-learn-extension to compute summaries of data characteristics.

The package is designed to help ML practitioners understand their datasets before and during model development—surfacing patterns, anomalies, or quality issues that might affect training. However, it has been abandoned since its latest release on 2023-03-28 and receives no maintenance, which means it may not work reliably with newer versions of its dependencies or with current SageMaker APIs.

Use it for:

• Profile raw datasets in SageMaker to identify data quality issues before training a model.
• Generate statistical summaries of features to inform feature engineering decisions.
• Diagnose dataset imbalances or missing-value patterns that could affect model performance.
• Integrate data insights into SageMaker notebook workflows for exploratory data analysis.

Worth the install?

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

Computes ML-relevant statistical summaries of datasets, integrating with Amazon SageMaker to surface data characteristics for model development and debugging.

No—not recommended for new projects. The package is abandoned (no updates since 2023-03-28) and licensed under a non-standard AWS Customer Agreement. While it has low install friction and no known vulnerabilities, the lack of maintenance means it will likely fall out of sync with SageMaker and its dependencies over time.

Install

sagemaker-data-insights on PyPI

pip install sagemaker-data-insights

uv add sagemaker-data-insights

poetry add sagemaker-data-insights

Installing sagemaker-data-insights

Before you install

Low install friction with a pure-Python wheel, but the package is abandoned—no updates since March 2023. Maintenance status is a significant concern for long-term reliability and compatibility with evolving SageMaker APIs.

License in practice

Licensed under AWS Customer Agreement, which is not a standard open-source license. The unclear license treatment means you should review the agreement terms before using this package in production or redistributing it.

Quickstart

pip install sagemaker-data-insights
import sagemaker_data_insights
# Use with SageMaker datasets to generate statistical summaries

Requires Python >=3.7; depends on numpy, pandas, scikit-learn, scipy, and sagemaker-scikit-learn-extension, all of which must be installed.

Verify before relying

• What specific ML statistics does the package compute (e.g., distribution analysis, missing-value patterns, feature correlations)?
• Does it work with current SageMaker SDK versions, or has the abandoned status caused API drift?
• Are there known compatibility issues with recent versions of numpy, pandas, or scikit-learn?

Package facts

Evidence: sagemaker_data_insights-0.4.0-py3-none-any.whl

Keywords: ML, Amazon, AWS, SageMaker, Data, Insights

Tags

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Further reading