A library for training and deploying machine learning models on Amazon SageMaker
⚡ Executive Summary & Quick Facts
Authoritative Sourcesagemaker-python-sdk is sagemaker-python-sdk is an open-source project written in Python: A library for training and deploying machine learning models on Amazon SageMaker..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), aws/sagemaker-python-sdk has accumulated 2,272 GitHub stars and 1,323 forks. It is written in Python, licensed under Apache-2.0, and ranks #5,133 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | aws/sagemaker-python-sdk ↗ |
|---|---|
| Primary Category | aws |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 2.3K stars · ⑂ 1.3K forks · #5,133 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 240 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 100/100 · Grade A+Yes, sagemaker-python-sdk is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 2,272 stars and 1,323 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+57
STARS · LAST 30 DAYS
2
PER DAY
#751
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +57 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +7 | +26 | +66 |
sagemaker-python-sdk gained 57 stars in the last 30 days, about 2 a day, and now has 2.3K. It is about 9 years old and has averaged roughly 252 stars a year. It ranks #751 among Python repositories and #5,133 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#11131
BEST RANK
Nov 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
sagemaker-python-sdk has maintained a continuous presence across global trending indexes, peaking at #11131. Below is the 30-day activity profile:
💡 Overview
sagemaker-python-sdk is an open-source project written in Python: A library for training and deploying machine learning models on Amazon SageMaker.
Engineered for speed, consistency, and developer ease, it solves common hurdles in aws, huggingface, machine-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install sagemaker-python-sdk⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
sagemaker-python-sdk coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed sagemaker-python-sdk into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install sagemaker-python-sdk using your package manager: `pip install sagemaker-python-sdk`
Initialize your project workspace or configuration file for sagemaker-python-sdk.
Import sagemaker-python-sdk into your codebase or invoke it directly from your terminal.
Execute your test suite or run `sagemaker-python-sdk --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
aws/sagemaker-python-sdk is currently ranked #5,133 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does sagemaker-python-sdk do? +
A library for training and deploying machine learning models on Amazon SageMaker
Is sagemaker-python-sdk actively maintained in 2026? +
Yes, sagemaker-python-sdk is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 2,272 stars and 240 open issues.
What language is sagemaker-python-sdk written in? +
The primary language is Python. Topics include: aws, huggingface, machine-learning, mxnet, python.
How many stars does sagemaker-python-sdk have? +
sagemaker-python-sdk has 2,272 stars and 1,323 forks on GitHub.
How does sagemaker-python-sdk rank among GitHub repositories? +
With 2,272 stars, aws/sagemaker-python-sdk is ranked #5,133 globally across all repositories tracked on GitHubRepo and #751 among Python projects.
What license is sagemaker-python-sdk distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
