sagemaker

PyPI v3.7.1

5,313,986 weekly downloads · 4 Dependencies

Recently published

Source data as of:

Summary

Open source library for training and deploying models on Amazon SageMaker.

Install pip install sagemaker

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 5,313,986 Source: PyPI (Python Package Index)
Releases 667 Last release: 2026-04-01 Source: PyPI (Python Package Index)
Dependencies 4 Source: PyPI (Python Package Index)

Description

Open source library for training and deploying models on Amazon SageMaker.

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
sagemaker
Registry
PyPI
Version
3.7.1
Weekly downloads
5,313,986 (weekly)
Dependencies
4: sagemaker-core, sagemaker-train, sagemaker-serve, sagemaker-mlops
Releases
667
Last release
2026-04-01
First published
2017-11-30
Keywords
AI, AWS, Amazon, ML, MXNet, Tensorflow, PyTorch, HuggingFace
Repository
https://github.com/aws/sagemaker-python-sdk

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 51.5 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 12.3 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 42.4 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources