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https://github.com/aws/sagemaker-python-sdk

aws huggingface machine-learning mxnet python pytorch sagemaker tensorflow

Score: 31.656722424499975

Last synced: about 24 hours ago
JSON representation

Repository metadata:

A library for training and deploying machine learning models on Amazon SageMaker

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 8 months ago

Total Commits: 4,270
Total Committers: 496
Avg Commits per committer: 8.609
Development Distribution Score (DDS): 0.727

Commits in past year: 413
Committers in past year: 77
Avg Commits per committer in past year: 5.364
Development Distribution Score (DDS) in past year: 0.806

Name Email Commits
ci c****i 1166
Lauren Yu 6****u 314
Karim Nakad k****d@a****m 95
Erick Benitez-Ramos 1****c 89
Chuyang c****g@g****m 88
evakravi 6****i 83
icywang86rui i****i@g****m 81
Mufaddal Rohawala 8****a 63
Eric Johnson 6****e 60
Nadia Yakimakha 3****a 59
sagemaker-bot s****t@a****m 59
qidewenwhen 3****n 57
Ajay Karpur a****r@a****m 50
yangaws 3****s 50
Marcio Vinicius dos Santos m****p@g****m 49
Kalyani Nikure 1****e 42
pintaoz-aws 1****s 41
jesterhazy j****y@g****m 37
Balaji Veeramani b****i@b****u 36
Ignacio Quintero n****0@g****m 36
Ahsan Khan a****i@g****m 35
Miyoung m****9@g****m 35
Dan c****k@g****m 31
Gokul Anantha Narayanan 1****l 30
Eric Slesar 3****s 28
dependabot[bot] 4****] 27
jerrypeng7773 5****3 27
Navin Soni n****9@g****m 26
Dan c****n@a****m 24
Dana Benson 3****s 24
and 466 more...

Issue and Pull Request metadata

Last synced: 8 months ago

Total issues: 776
Total pull requests: 1,643
Average time to close issues: over 1 year
Average time to close pull requests: 20 days
Total issue authors: 571
Total pull request authors: 235
Average comments per issue: 2.56
Average comments per pull request: 8.12
Merged pull request: 1,141
Bot issues: 0
Bot pull requests: 97

Past year issues: 84
Past year pull requests: 498
Past year average time to close issues: 28 days
Past year average time to close pull requests: 9 days
Past year issue authors: 72
Past year pull request authors: 77
Past year average comments per issue: 0.52
Past year average comments per pull request: 0.43
Past year merged pull request: 331
Past year bot issues: 0
Past year bot pull requests: 41

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/aws/sagemaker-python-sdk

Top Issue Authors

  • lorenzwalthert (20)
  • athewsey (18)
  • idanmoradarthas (15)
  • jmahlik (10)
  • Alex-Wenner-FHR (7)
  • celsofranssa (6)
  • JingyaHuang (6)
  • j-adamczyk (5)
  • david-waterworth (5)
  • DRKolev-code (4)
  • laurenyu (4)
  • cfregly (4)
  • benieric (4)
  • neilmcguigan (4)
  • philschmid (4)

Top Pull Request Authors

  • benieric (107)
  • dependabot[bot] (97)
  • evakravi (88)
  • makungaj1 (67)
  • Captainia (65)
  • pintaoz-aws (60)
  • qidewenwhen (45)
  • knikure (45)
  • nargokul (44)
  • mufaddal-rohawala (29)
  • samruds (28)
  • Aditi2424 (27)
  • haixiw (24)
  • rsareddy0329 (24)
  • bencrabtree (24)

Top Issue Labels

  • bug (276)
  • type: feature request (210)
  • component: pipelines (79)
  • type: bug (73)
  • type: documentation (60)
  • contributions welcome (46)
  • type: question (43)
  • component: training (43)
  • component: pysdk-team (31)
  • PyTorch (28)
  • component: processing (26)
  • Pending information (22)
  • Local Mode (20)
  • component: hosting (20)
  • component: local mode (17)
  • component: Inference APIs (16)
  • component: Inference APIs and Interfaces (16)
  • HuggingFace (15)
  • type: logging/error reporting (13)
  • component: feature store (13)
  • type: maintenance (12)
  • Tensorflow (10)
  • XGBoost (10)
  • component: experiments (9)
  • scikit-learn (8)
  • component: image uri (8)
  • OS: Windows (7)
  • serverless (7)
  • component: neo (6)
  • component: model monitor (5)

Top Pull Request Labels

  • dependencies (97)
  • python (31)
  • do-not-merge (29)
  • ModelBuilder (7)
  • needs contributor changes (4)
  • bug (4)
  • type: feature request (3)
  • type: documentation (3)
  • status: Ready for merge (2)
  • external_contributor (2)
  • Pending information (1)

Package metadata

pypi.org: sagemaker

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

conda-forge.org: sagemaker

  • Homepage: https://github.com/aws/sagemaker-python-sdk/
  • Licenses: Apache-2.0
  • Latest release: 2.75.1 (published over 4 years ago)
  • Last Synced: 2026-04-01T13:30:18.940Z (3 months ago)
  • Versions: 5
  • Dependent Packages: 2
  • Dependent Repositories: 2
  • Downloads: 218,271 Total
  • Rankings:
    • Forks count: 5.02%
    • Stargazers count: 9.367%
    • Average: 13.569%
    • Dependent packages count: 19.607%
    • Dependent repos count: 20.28%
conda-forge.org: sagemaker-python-sdk

  • Homepage: https://github.com/aws/sagemaker-python-sdk/
  • Licenses: Apache-2.0
  • Latest release: 2.109.0 (published almost 4 years ago)
  • Last Synced: 2026-04-01T13:28:05.549Z (3 months ago)
  • Versions: 122
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 1,992,427 Total
  • Rankings:
    • Forks count: 5.025%
    • Stargazers count: 9.377%
    • Dependent repos count: 20.28%
    • Average: 21.574%
    • Dependent packages count: 51.614%
pypi.org: sagemaker-train

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

  • Homepage: https://github.com/aws/sagemaker-python-sdk
  • Documentation: https://sagemaker-train.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 1.10.0 (published about 2 months ago)
  • Last Synced: 2026-05-05T01:03:15.290Z (about 2 months ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,584,141 Last month
  • Rankings:
    • Dependent packages count: 8.279%
    • Average: 27.538%
    • Dependent repos count: 46.796%
  • Maintainers (1)
pypi.org: sagemaker-core

An python package for sagemaker core functionalities

  • Homepage: https://github.com/aws/sagemaker-python-sdk
  • Documentation: https://sagemaker-core.readthedocs.io/
  • Licenses: Apache Software License
  • Latest release: 2.10.0 (published about 2 months ago)
  • Last Synced: 2026-05-05T01:03:11.511Z (about 2 months ago)
  • Versions: 97
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9,478,561 Last month
  • Docker Downloads: 6,661,670
  • Rankings:
    • Dependent packages count: 10.612%
    • Average: 35.186%
    • Dependent repos count: 59.76%
  • Maintainers (1)
nixpkgs-23.11: python311Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-23.11: python310Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-24.05: python311Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-23.05: python311Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-24.11: python311Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-24.11: python312Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-unstable: python314Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-23.05: python310Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-24.05: python312Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

nixpkgs-unstable: python313Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker

Dependencies

tests/data/marketplace/iris/Dockerfile docker
  • public.ecr.aws/ubuntu/ubuntu 18.04 build
tests/data/multimodel/container/Dockerfile docker
  • public.ecr.aws/ubuntu/ubuntu 22.04 build
doc/requirements.txt pypi
  • docutils ==0.15.2
  • jinja2 <3.1
  • packaging ==20.9
  • schema ==0.7.5
  • sphinx ==3.1.2
  • sphinx-rtd-theme ==0.5.0
requirements/extras/feature-processor_requirements.txt pypi
  • pyspark ==3.3.1
  • sagemaker-feature-store-pyspark-3.3 *
requirements/extras/local_requirements.txt pypi
  • PyYAML >=5.4.1,<7
  • docker >=5.0.2,<7.0.0
  • urllib3 >=1.26.8,<1.26.15
requirements/extras/scipy_requirements.txt pypi
  • scipy ==1.10.1
requirements/extras/test_requirements.txt pypi
  • Jinja2 ==3.0.3 test
  • PyYAML ==6.0 test
  • apache-airflow ==2.7.1 test
  • apache-airflow-providers-amazon ==7.2.1 test
  • attrs >=23.1.0,<24 test
  • awslogs ==0.14.0 test
  • black ==22.3.0 test
  • cloudpickle ==2.2.1 test
  • contextlib2 ==21.6.0 test
  • coverage >=5.2,<6.2 test
  • docker >=5.0.2,<7.0.0 test
  • fabric ==2.6.0 test
  • flake8 ==4.0.1 test
  • mock ==4.0.3 test
  • pandas >=1.3.5,<1.5 test
  • pyspark ==3.3.1 test
  • pytest ==6.2.5 test
  • pytest-cov ==3.0.0 test
  • pytest-rerunfailures ==10.2 test
  • pytest-timeout ==2.1.0 test
  • pytest-xdist ==2.4.0 test
  • pyvis ==0.2.1 test
  • requests ==2.31.0 test
  • sagemaker-experiments ==0.1.35 test
  • sagemaker-feature-store-pyspark-3.3 * test
  • scikit-learn ==1.3.0 test
  • scipy ==1.10.1 test
  • stopit ==1.1.2 test
  • tox ==3.24.5 test
  • urllib3 >=1.26.8,<1.26.15 test
requirements/tox/doc8_requirements.txt pypi
  • Pygments ==2.15.0
  • doc8 ==0.10.1
requirements/tox/docstyle_requirements.txt pypi
  • pydocstyle ==6.1.1
requirements/tox/flake8_requirements.txt pypi
  • flake8 ==4.0.1
  • flake8-future-import ==0.4.6
requirements/tox/mypy_requirements.txt pypi
  • mypy ==0.942
requirements/tox/pydocstyle_requirements.txt pypi
  • pydocstyle ==6.1.1
requirements/tox/pylint_requirements.txt pypi
  • astroid ==2.4.2
  • pylint ==2.6.2
requirements/tox/spelling_requirements.txt pypi
  • pyenchant ==3.2.2
  • pylint ==2.6.2
requirements/tox/twine_requirements.txt pypi
  • twine ==3.8.0
setup.py pypi
tests/data/dummy_code_bundle_with_reqs/requirements.txt pypi
  • stepfunctions * test
tests/data/dummy_requirements.txt pypi
  • fake-requirement-for-unit-tests ==1.0.0 test
tests/data/huggingface_byoc/requirements.txt pypi
  • datasets <=2.12.0 test
  • transformers <=4.28.1 test
tests/data/pipeline/model_step/pytorch_mnist/requirements.txt pypi
  • scipy >=1.8.1 test
tests/data/remote_function/non_existent_requirements.txt pypi
  • does_not_exist * test
tests/data/remote_function/old_deps_requirements.txt pypi
  • pandas ==1.3.4 test
tests/data/remote_function/requirements.txt pypi
  • scipy ==1.10.1 test