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

aws huggingface machine-learning mxnet python pytorch sagemaker tensorflow

Score: 31.65917950656445

Last synced: about 3 hours ago
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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: 4 days ago

Total Commits: 4,484
Total Committers: 519
Avg Commits per committer: 8.64
Development Distribution Score (DDS): 0.75

Commits in past year: 379
Committers in past year: 70
Avg Commits per committer in past year: 5.414
Development Distribution Score (DDS) in past year: 0.865

Name Email Commits
ci c****i 1120
Lauren Yu 6****u 314
Karim Nakad k****d@a****m 95
Chuyang c****g@g****m 88
Erick Benitez-Ramos 1****c 82
icywang86rui i****i@g****m 81
evakravi 6****i 80
Mufaddal Rohawala 8****a 65
Eric Johnson 6****e 60
Nadia Yakimakha 3****a 59
qidewenwhen 3****n 57
lucasjia-aws l****a@a****m 51
yangaws 3****s 50
Ajay Karpur a****r@a****m 50
Marcio Vinicius dos Santos m****p@g****m 49
Gokul Anantha Narayanan 1****l 45
pintaoz-aws 1****s 43
sagemaker-bot s****t@a****m 42
Kalyani Nikure 1****e 42
aviruthen 9****n 41
rsareddy0329 r****9@g****m 41
jesterhazy j****y@g****m 37
Balaji Veeramani b****i@b****u 36
Ignacio Quintero n****0@g****m 36
Molly He m****e@a****m 35
Miyoung m****9@g****m 35
Ahsan Khan a****i@g****m 35
Dan c****k@g****m 31
Zhaoqi 5****g 30
Eric Slesar 3****s 28
and 489 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 803
Total pull requests: 1,852
Average time to close issues: over 1 year
Average time to close pull requests: 19 days
Total issue authors: 590
Total pull request authors: 276
Average comments per issue: 2.51
Average comments per pull request: 7.31
Merged pull request: 1,261
Bot issues: 0
Bot pull requests: 105

Past year issues: 33
Past year pull requests: 241
Past year average time to close issues: about 2 months
Past year average time to close pull requests: 10 days
Past year issue authors: 27
Past year pull request authors: 72
Past year average comments per issue: 1.0
Past year average comments per pull request: 0.81
Past year merged pull request: 134
Past year bot issues: 0
Past year bot pull requests: 12

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)
  • brunopistone (5)
  • cfregly (4)
  • DRKolev-code (4)
  • benieric (4)
  • philschmid (4)
  • neilmcguigan (4)

Top Pull Request Authors

  • benieric (107)
  • dependabot[bot] (105)
  • evakravi (90)
  • makungaj1 (67)
  • Captainia (65)
  • pintaoz-aws (60)
  • nargokul (49)
  • knikure (45)
  • qidewenwhen (45)
  • rsareddy0329 (34)
  • mufaddal-rohawala (29)
  • samruds (28)
  • Aditi2424 (27)
  • mollyheamazon (25)
  • gwang111 (24)

Top Issue Labels

  • bug (275)
  • type: feature request (210)
  • component: pipelines (81)
  • type: bug (74)
  • type: documentation (60)
  • contributions welcome (46)
  • component: training (43)
  • type: question (43)
  • component: pysdk-team (32)
  • 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)
  • component: feature store (13)
  • type: logging/error reporting (13)
  • type: maintenance (12)
  • Tensorflow (10)
  • XGBoost (10)
  • component: experiments (9)
  • component: image uri (8)
  • scikit-learn (8)
  • OS: Windows (7)
  • serverless (7)
  • component: neo (6)
  • component: model monitor (5)

Top Pull Request Labels

  • dependencies (105)
  • python (39)
  • do-not-merge (29)
  • ModelBuilder (7)
  • needs contributor changes (4)
  • bug (4)
  • type: feature request (3)
  • type: documentation (3)
  • external_contributor (2)
  • status: Ready for merge (2)
  • Pending information (1)

Package metadata

pypi.org: sagemaker

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

proxy.golang.org: github.com/aws/sagemaker-python-sdk

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 (5 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: 2026-08-07T14:51:30.129Z (16 days 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: 1.20.0 (published 9 days ago)
  • Last Synced: 2026-08-22T21:33:08.966Z (1 day ago)
  • Versions: 28
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,308,823 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: 2.20.0 (published 9 days ago)
  • Last Synced: 2026-08-22T21:33:00.301Z (1 day ago)
  • Versions: 110
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 7,397,567 Last month
  • Docker Downloads: 6,661,670
  • Rankings:
    • Dependent packages count: 10.612%
    • Average: 35.186%
    • Dependent repos count: 59.76%
  • Maintainers (1)
nixpkgs-24.11: python312Packages.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-23.11: python311Packages.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-24.05: python312Packages.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: python310Packages.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

nixpkgs-23.11: python310Packages.sagemaker

Library for training and deploying machine learning models on Amazon SageMaker


Dependencies

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
sagemaker-core/pyproject.toml pypi
  • attrs >=20.3.0
  • boto3 >=1.42.2,<2.0.0
  • cloudpickle >=2.0.0
  • cryptography >=46.0.0
  • importlib-metadata <7.0,>=1.4.0
  • jsonschema <5.0.0
  • mock >4.0, <5.0
  • numpy >=1.9.0
  • omegaconf >=2.1.0
  • packaging >=20.0
  • pandas >=1.0.0
  • paramiko >=2.11.0
  • platformdirs >=4.0.0, <5.0.0
  • protobuf >=3.12,<7.0.0
  • pydantic >=2.0.0,<3.0.0
  • pytz >=2021.1
  • pyyaml >=6.0, <7.0
  • requests >=2.20.0,<3.0.0
  • rich >=13.0.0, <15.0.0
  • schema >=0.7.5
  • scipy >=1.5.0
  • smdebug-rulesconfig >=1.0.1
  • tblib >=1.7.0
  • typing-extensions >=4.9.0
.github/workflows/_conda-forge-package-release.yml actions
.github/workflows/codeql.yml actions
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requirements/tox/black_requirements.txt pypi
  • black ==24.3.0
pyproject.toml pypi
  • sagemaker-core >=2.10.0,<3.0.0
  • sagemaker-mlops >=1.10.0,<2.0.0
  • sagemaker-serve >=1.10.0,<2.0.0
  • sagemaker-train >=1.10.0,<2.0.0
sagemaker-mlops/tests/data/feature_store/feature_processor/requirements.txt pypi
sagemaker-serve/src/sagemaker/serve/utils/in_process_requirements.txt pypi
  • altair >=4.2.2
  • anyio >=3.6.2
  • awscli >=1.27.114
  • blinker >=1.6.2
  • botocore >=1.29.114
  • cachetools >=5.3.0
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  • charset-normalizer >=3.1.0
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  • colorama >=0.4.4
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  • decorator >=5.1.1
  • dill >=0.3.6
  • docutils >=0.16
  • entrypoints >=0.4
  • fastapi >=0.111.0
  • filelock >=3.11.0
  • gitdb >=4.0.10
  • gitpython >=3.1.31
  • gunicorn >=20.1.0
  • h11 >=0.14.0
  • huggingface-hub >=0.13.4
  • idna >=3.4
  • importlib-metadata >=4.13.0
  • jinja2 >=3.1.2
  • jmespath >=1.0.1
  • jsonschema >=4.17.3
  • markdown-it-py >=2.2.0
  • markupsafe >=2.1.2
  • mdurl >=0.1.2
  • mpmath >=1.3.0
  • multiprocess >=0.70.14
  • nest-asyncio *
  • networkx >=3.1
  • packaging >=23.1
  • pandas >=1.5.3
  • pathos >=0.3.0
  • pillow >=9.5.0
  • platformdirs >=3.2.0
  • pox >=0.3.2
  • ppft >=1.7.6.6
  • protobuf >=3.20.3
  • protobuf3-to-dict >=0.1.5
  • pyarrow >=11.0.0
  • pyasn1 >=0.4.8
  • pydantic >=1.10.7
  • pydeck >=0.8.1b0
  • pygments >=2.15.1
  • pympler >=1.0.1
  • pyrsistent >=0.19.3
  • python-dateutil >=2.8.2
  • pytz >=2023.3
  • pytz-deprecation-shim >=0.1.0.post0
  • pyyaml >=5.4.1
  • regex >=2023.3.23
  • requests >=2.28.2
  • rich >=13.3.4
  • rsa >=4.7.2
  • s3transfer >=0.6.0
  • sagemaker >=2.148.0
  • schema >=0.7.5
  • six >=1.16.0
  • smdebug-rulesconfig >=1.0.1
  • smmap ==5.0.0
  • sniffio >=1.3.0
  • starlette >=0.26.1
  • streamlit >=1.21.0
  • sympy >=1.11.1
  • tblib >=1.7.0
  • tokenizers >=0.13.3
  • toml >=0.10.2
  • toolz >=0.12.0
  • torch >=2.0.0
  • tornado >=6.3
  • tqdm >=4.65.0
  • transformers >=4.28.1
  • transformers *
  • typing-extensions >=4.5.0
  • tzdata >=2023.3
  • tzlocal >=4.3
  • urllib3 >=1.26.15
  • uvicorn >=0.30.1
  • validators >=0.20.0
  • zipp >=3.15.0
sagemaker-serve/pyproject.toml pypi
  • boto3 >=1.42.2,<2.0
  • botocore >=1.35.75,<2.0
  • deepdiff *
  • mlflow *
  • onnx *
  • onnxruntime *
  • psutil *
  • pytest *
  • sagemaker-core >=2.10.0
  • sagemaker-schema-inference-artifacts *
  • sagemaker-train >=1.10.0
  • torch >=2.0.0
  • tqdm *
  • tritonclient [http]
sagemaker-core/tests/data/remote_function/non_existent_requirements.txt pypi
  • does_not_exist * test
sagemaker-core/tests/data/remote_function/old_deps_requirements.txt pypi
  • pandas ==1.3.4 test
sagemaker-core/tests/data/remote_function/requirements.txt pypi
  • scipy ==1.13.0 test
sagemaker-mlops/pyproject.toml pypi
  • boto3 >=1.42.2,<2.0
  • botocore >=1.42.2,<2.0
  • pyarrow >=14.0.0
  • pyiceberg [glue]>=0.8.0
  • s3fs *
  • sagemaker-core >=2.10.0
  • sagemaker-serve >=1.10.0
  • sagemaker-train >=1.10.0
sagemaker-mlops/tests/integ/code/pytorch_processing/requirements.txt pypi
  • datasets * test
  • torch * test
  • transformers * test
sagemaker-train/pyproject.toml pypi
sagemaker-train/tests/data/params_script/requirements.txt pypi
  • omegaconf * test
sagemaker-train/tests/data/remote_function/non_existent_requirements.txt pypi
  • does_not_exist * test
sagemaker-train/tests/data/remote_function/old_deps_requirements.txt pypi
  • pandas ==1.3.4 test
sagemaker-train/tests/data/remote_function/requirements.txt pypi
  • scipy ==1.10.1 test
sagemaker-train/tests/data/script_mode/requirements.txt pypi
  • numpy * test
  • torch ==2.0.1 test
sagemaker-train/tests/data/train/script_mode/requirements.txt pypi
  • numpy * test
  • torch ==2.7.0 test
v3-examples/ml-ops-examples/v3-processing-job-pytorch/scripts/preprocess/requirements.txt pypi
  • datasets *
  • torch *
  • transformers *
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docs/requirements.txt pypi
  • myst-nb *
  • myst-parser *
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  • sphinx >=4.0
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sagemaker-core/docs/requirements.txt pypi
  • sphinx ==7.4.7
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sagemaker-train/tests/data/inspectai/boolq/pyproject.toml pypi
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sagemaker-mlops/tests/data/workflow/requirements.txt pypi
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