NewYour coding agent can read the release notes before it upgrades.Set up the MCP server →
PyPI · #3039 most downloaded on PyPI
AWS Plugin for MLflow with SageMaker
Last release 3 months ago
27 Jun 2026
Release timing varies
gaps range from 2 weeks to 1.2 years
Nearly every release is documented
notes for 6 of 6 stable releases
Nothing withdrawn
no release was ever pulled
2 years old
7 releases · first in 2024
Session injection for SigV4 signing — New sagemaker_mlflow.use_session() and set_session() APIs allow callers to inject a custom boto3 Session for per
Session injection for SigV4 signing — New sagemaker_mlflow.use_session() and set_session() APIs allow callers to inject a custom boto3 Session for per-context credential injection. Thread-safe and asyncio-safe via contextvars. (#25)
Inference image logging — Added support for logging inference image information alongside log_model, enabling deployment workflows that require image metadata. (#23)
Python 3.12, 3.13, and 3.14 support — Expanded test matrix and added classifiers for Python 3.12, 3.13, and 3.14. (#27)
Replace mlflow with mlflow-skinny, add [full] extra by @hashsaee in #22
One column per month.
feat: add presigned URL upload support for S3 artifacts by @henishborad in #19
Full Changelog: v0.2.0...v0.3.0
Support Cross-Account Sagemaker MLFlow access using assume_role_arn by @bweigel in #5
Full Changelog: v0.1.1...v0.2.0
Nothing published for this version
feat: add govcloud partition in #9
Initial source for sagemaker-mlflow
Initial source for sagemaker-mlflow (#1)
Co-authored-by: Ananth Bashyam <ananthbashyam1@gmail.com>
Your coding agent can read these notes before it upgrades. Set up the MCP server →