Is Amazon Sagemaker Jupyter Scheduler Safe?

Amazon Sagemaker Jupyter Scheduler — Nerq Trust Score 70.2/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Amazon Sagemaker Jupyter Scheduler is a Python package with a Nerq Trust Score of 70.2/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Amazon Sagemaker Jupyter Scheduler Across Platforms

Same developer/company in other registries:

Safety Guide: Amazon Sagemaker Jupyter Scheduler

What is Amazon Sagemaker Jupyter Scheduler?

Amazon Sagemaker Jupyter Scheduler is a Python package — Amazon SageMaker Jupyter Scheduler based on the https://pypi.org/project/jupyter-scheduler/.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=amazon-sagemaker-jupyter-scheduler

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Measured Signals

Amazon Sagemaker Jupyter Scheduler has a Nerq Trust Score of 70/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Amazon Sagemaker Jupyter Scheduler has a Trust Score of 70/100 (B).
• The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
• Query the current measured values via the Nerq API.

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.