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python-sagemaker-mlops

pyprojectDepMismatch 3DepChanges 3

A library for MLOps on Amazon SageMaker

Current
1.26.0
Candidate
1.29.0
License
Apache-2.0

Build

TargetResultLast successful versionSucceeded at
rva23
1.26.0
rva20
1.26.0
x86_64
1.26.0

RuntimeDeps

DependencyObserved sourceCurrent requirementCandidate requirement
boto3
1.43.115
<2.0,>=1.42.2✓
<2.0,>=1.42.2✓
botocore
1.43.115
<2.0,>=1.42.2✓
<2.0,>=1.42.2✓
cryptography
50.0.2
>=46.0.0✓
>=46.0.0✓
pyarrow
23.0.1
>=14.0.0✓
>=14.0.0✓
pyiceberg[glue]
0.11.1
>=0.8.0?
>=0.8.0?
s3fs
2026.6.0
any version✓
any version✓
sagemaker-core
2.26.0
>=2.26.0✓
>=2.29.0✗
sagemaker-serve
1.26.0
>=1.26.0✓
>=1.29.0✗
sagemaker-train
1.26.0
>=1.26.0✓
>=1.29.0✗
Python
3.14.9
>=3.10✓
>=3.10✓

Optional RuntimeDeps

DependencyObserved sourceCurrent requirementCandidate requirement
blackUnmapped
—
any version
any version
flake8Unmapped
—
any version
any version
mock
4.0.3
any version?
any version?
numpy
2.4.6
<3.0?
<3.0?
pandas
3.0.1
<3.0?
<3.0?
pyspark
4.2.0
==3.5.1?
==3.5.1?
pytest
9.0.3
any version?
any version?
pytest-cov
7.1.0
any version?
any version?
sagemaker-feature-store-pysparkUnmapped
—
==2.0.0
==2.0.0
setuptools
83.0.0
<82?
<82?
Dependency conditions
  • blackany versionUnmapped
    Applies when (any)
    extra == "dev"
  • flake8any versionUnmapped
    Applies when (any)
    extra == "dev"
  • mockany version?
    Applies when (any)
    extra == "dev"extra == "test"
  • numpy<3.0?
    Applies when (any)
    extra == "test"
  • pandas<3.0?
    Applies when (any)
    extra == "test"
  • pyspark==3.5.1?
    Applies when (any)
    extra == "feature-processor"extra == "test"
  • pytestany version?
    Applies when (any)
    extra == "dev"extra == "test"
  • pytest-covany version?
    Applies when (any)
    extra == "dev"extra == "test"
  • sagemaker-feature-store-pyspark==2.0.0Unmapped
    Applies when (any)
    extra == "feature-processor"extra == "test"
  • setuptools<82?
    Applies when (any)
    extra == "feature-processor"extra == "test"

Description

The sagemaker-mlops package provides high-level orchestration capabilities for Amazon SageMaker workflows, including pipeline definitions, step implementations, and model building utilities.

Changelog

PR · 2

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