Public recordExcellent
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-16 06:27 UTC
aws / sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
aws/sagemaker-python-sdk holds a health index of 85 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (94/100) and lowest on Security (55/100). It was last updated today. 17 contributors account for most of its recent work.
85
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
85
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
Amazon Web ServicesOrganization
16,076 followers551 public repossince Aug 2012
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | sagemaker | 3.16.0 | - | 683 | 0 days ago | aiawsamazonmlmxnettensorflowpytorchhuggingface |
| PyPI | sagemaker-core | 2.16.0 | - | 106 | 0 days ago | — |
| PyPI | sagemaker-mlops | 1.16.0 | - | 24 | 0 days ago | — |
| PyPI | sagemaker-serve | 1.16.0 | - | 25 | 0 days ago | — |
| PyPI | sagemaker-train | 1.16.0 | 1,331,416 | 24 | 0 days ago | aiawsamazonmlmxnettensorflowpytorchhuggingface |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
93
Development activity
89Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 24.9/36 | Commit cadence — 36/52 weeks with commits |
| 18/18 | Commit volume — 304 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 304 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 36 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 1 days ago |
| 27/27 | Release cadence — a release every ~7.5 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 100 |
| latest_release_tag | v2.257.5 |
| releases_from_tags | no |
| days_since_latest_release | 1 |
| mean_days_between_releases | 7.5 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
94
Popularity & adoption
91Excellent
How it's scored
| 54.4/60 | Stars — 2,253 stars |
| 25/25 | Forks — 1,282 forks |
| 11.7/15 | Watchers — 126 watchers |
Inputs used
| forks | 1,282 |
| stars | 2,253 |
| watchers | 126 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
100Excellent
How it's scored
| 80/80 | Monthly downloads — 1,331,416 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | sagemaker, sagemaker-core, sagemaker-mlops, sagemaker-serve, sagemaker-train |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 1,331,416 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
90
Maintainer resilience (bus factor)
97Excellent
How it's scored
| 54/54 | Bus factor — 17 contributor(s) cover half of all commits |
| 19.7/22.5 | Commit distribution — top contributor authored 12% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations |
Inputs used
| bus_factor | 17 |
| contributors_sampled | 100 |
| top_contributor_share | 0.125 |
How it's scored
| 38.5/46.8 | Issue resolution — 82% of issues closed |
| 31.7/38.3 | PR acceptance — 3,262/3,935 decided PRs merged |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
Inputs used
| merged_prs | 3,262 |
| open_issues | 300 |
| closed_issues | 1,401 |
| issue_closed_ratio | 0.824 |
| closed_unmerged_prs | 673 |
Ownership & stewardship
80Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 16,076 followers of aws |
| 25/25 | Track record — 551 public repos, account ~13 yr old |
Inputs used
| followers | 16,076 |
| owner_type | Organization |
| is_verified | — |
| owner_login | aws |
| public_repos | 551 |
| account_age_days | 5,070 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 5 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 683 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | sagemaker, sagemaker-core, sagemaker-mlops, sagemaker-serve, sagemaker-train |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
85
Engineering practices
82Good
How it's scored
| 24/24 | CI workflows — 9 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — .pylintrc, tox.ini |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | no |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://sagemaker.readthedocs.io/ |
| 10/10 | Repository description |
| 10/10 | Topics — 8 topics |
| 0/10 | Wiki |
Inputs used
| topics | aws, mxnet, tensorflow, machine-learning, python, pytorch, sagemaker, huggingface |
| has_wiki | no |
| homepage | https://sagemaker.readthedocs.io/ |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
55
Security posture
55Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 5.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.2/2.5 | CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6.8/7.5 | Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 12 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 4.5/5 | SAST — SAST tool detected but not run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 146 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.5 |
Excluded from scoring (no data or not applicable): packaging, signed_releases. Remaining weights renormalized.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
74
Agent context & guidance
100Excellent
How it's scored
| 45/45 | Agent instructions — AGENTS.md |
| 15/15 | Machine-readable docs (llms.txt) — llms.txt present |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | yes |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 7,702 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile, sagemaker-core/docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — .pylintrc, tox.ini |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | docs/Makefile, sagemaker-core/docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
53Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 53.3/55 | Manageable file sizes — 38/1,197 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 1,579,353 |
| source_files_sampled | 1,197 |
| oversized_source_files | 38 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — notebooks, sample |
Inputs used
| example_dirs | notebooks, sample |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
2,253GitHub stars
100contributors
304commits, last 12 months
0days since last push
100releases
17bus factor
300open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 5.5 / 10
5.5aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 7 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 9 | CI-Tests | 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 9 | Code-Review | Found 29/30 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 12 contributing companies or organizations |
| 0 | Dangerous-Workflow | dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 9 | SAST | SAST tool detected but not run on all commits |
| 10 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 146 existing vulnerabilities detected |
Direct dependencies 63
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | sagemaker-core | >=2.16.0,<3.0.0 | pyproject.toml |
| PyPI | sagemaker-train | >=1.16.0,<2.0.0 | pyproject.toml |
| PyPI | sagemaker-serve | >=1.16.0,<2.0.0 | pyproject.toml |
| PyPI | sagemaker-mlops | >=1.16.0,<2.0.0 | pyproject.toml |
| PyPI | boto3 | >=1.42.2,<2.0.0 | sagemaker-core/pyproject.toml |
| PyPI | pydantic | >=2.0.0,<3.0.0 | sagemaker-core/pyproject.toml |
| PyPI | PyYAML | >=6.0, <7.0 | sagemaker-core/pyproject.toml |
| PyPI | jsonschema | <5.0.0 | sagemaker-core/pyproject.toml |
| PyPI | platformdirs | >=4.0.0, <5.0.0 | sagemaker-core/pyproject.toml |
| PyPI | rich | >=13.0.0, <15.0.0 | sagemaker-core/pyproject.toml |
| PyPI | mock | >4.0, <5.0 | sagemaker-core/pyproject.toml |
| PyPI | importlib-metadata | <7.0,>=1.4.0 | sagemaker-core/pyproject.toml |
| PyPI | typing_extensions | >=4.9.0 | sagemaker-core/pyproject.toml |
| PyPI | pytz | >=2021.1 | sagemaker-core/pyproject.toml |
| PyPI | requests | >=2.20.0,<3.0.0 | sagemaker-core/pyproject.toml |
| PyPI | attrs | >=20.3.0 | sagemaker-core/pyproject.toml |
| PyPI | packaging | >=20.0 | sagemaker-core/pyproject.toml |
| PyPI | protobuf | >=3.12,<7.0.0 | sagemaker-core/pyproject.toml |
| PyPI | pandas | >=1.0.0 | sagemaker-core/pyproject.toml |
| PyPI | numpy | >=1.9.0 | sagemaker-core/pyproject.toml |
| PyPI | smdebug_rulesconfig | >=1.0.1 | sagemaker-core/pyproject.toml |
| PyPI | schema | >=0.7.5 | sagemaker-core/pyproject.toml |
| PyPI | omegaconf | >=2.1.0 | sagemaker-core/pyproject.toml |
| PyPI | scipy | >=1.5.0 | sagemaker-core/pyproject.toml |
| PyPI | cloudpickle | >=2.0.0 | sagemaker-core/pyproject.toml |
| PyPI | paramiko | >=2.11.0 | sagemaker-core/pyproject.toml |
| PyPI | tblib | >=1.7.0 | sagemaker-core/pyproject.toml |
| PyPI | cryptography | >=46.0.0 | sagemaker-core/pyproject.toml |
| PyPI | sagemaker-core | >=2.16.0 | sagemaker-mlops/pyproject.toml |
| PyPI | sagemaker-train | >=1.16.0 | sagemaker-mlops/pyproject.toml |
| PyPI | sagemaker-serve | >=1.16.0 | sagemaker-mlops/pyproject.toml |
| PyPI | cryptography | >=46.0.0 | sagemaker-mlops/pyproject.toml |
| PyPI | boto3 | >=1.42.2,<2.0 | sagemaker-mlops/pyproject.toml |
| PyPI | botocore | >=1.42.2,<2.0 | sagemaker-mlops/pyproject.toml |
| PyPI | pyiceberg | >=0.8.0 | sagemaker-mlops/pyproject.toml |
| PyPI | pyarrow | >=14.0.0 | sagemaker-mlops/pyproject.toml |
| PyPI | s3fs | — | sagemaker-mlops/pyproject.toml |
| PyPI | sagemaker-core | >=2.16.0 | sagemaker-serve/pyproject.toml |
| PyPI | sagemaker-train | >=1.16.0 | sagemaker-serve/pyproject.toml |
| PyPI | boto3 | >=1.42.2,<2.0 | sagemaker-serve/pyproject.toml |
| PyPI | botocore | >=1.35.75,<2.0 | sagemaker-serve/pyproject.toml |
| PyPI | deepdiff | — | sagemaker-serve/pyproject.toml |
| PyPI | mlflow | — | sagemaker-serve/pyproject.toml |
| PyPI | sagemaker_schema_inference_artifacts | — | sagemaker-serve/pyproject.toml |
| PyPI | pytest | — | sagemaker-serve/pyproject.toml |
| PyPI | tqdm | — | sagemaker-serve/pyproject.toml |
| PyPI | psutil | — | sagemaker-serve/pyproject.toml |
| PyPI | tritonclient | — | sagemaker-serve/pyproject.toml |
| PyPI | onnx | — | sagemaker-serve/pyproject.toml |
| PyPI | onnxruntime | — | sagemaker-serve/pyproject.toml |
| PyPI | torch | >=2.0.0 | sagemaker-serve/pyproject.toml |
| PyPI | sagemaker-core | >=2.16.0 | sagemaker-train/pyproject.toml |
| PyPI | graphene | >=3,<4 | sagemaker-train/pyproject.toml |
| PyPI | typing_extensions | >=4.9.0 | sagemaker-train/pyproject.toml |
| PyPI | tblib | >=1.7.0 | sagemaker-train/pyproject.toml |
| PyPI | PyYAML | >=6.0,<7.0 | sagemaker-train/pyproject.toml |
| PyPI | paramiko | >=2.11.0 | sagemaker-train/pyproject.toml |
| PyPI | jinja2 | >=3.0,<4.0 | sagemaker-train/pyproject.toml |
| PyPI | sagemaker-mlflow | >=0.0.1,<1.0.0 | sagemaker-train/pyproject.toml |
| PyPI | mlflow | >=3.0.0,<4.0.0 | sagemaker-train/pyproject.toml |
| PyPI | nest_asyncio | >=1.5.0 | sagemaker-train/pyproject.toml |
| PyPI | requests | >=2.28.0 | sagemaker-train/pyproject.toml |
| PyPI | pydantic | >=2.0.0 | sagemaker-train/pyproject.toml |
All dependencies 149
Full resolved dependency set from the GitHub dependency graph: 46 direct and 103 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | attrs | — | direct |
| PyPI | boto3 | — | direct |
| PyPI | botocore | — | direct |
| PyPI | cloudpickle | — | direct |
| PyPI | cloudpickle | 2.2.1 | direct |
| PyPI | cryptography | — | direct |
| PyPI | graphene | — | direct |
| PyPI | importlib-metadata | — | direct |
| PyPI | jinja2 | — | direct |
| PyPI | jsonschema | — | direct |
| PyPI | mlflow | — | direct |
| PyPI | mock | — | direct |
| PyPI | nest-asyncio | — | direct |
| PyPI | numpy | — | direct |
| PyPI | omegaconf | — | direct |
| PyPI | packaging | — | direct |
| PyPI | pandas | — | direct |
| PyPI | pandas | 1.3.4 | direct |
| PyPI | paramiko | — | direct |
| PyPI | platformdirs | — | direct |
| PyPI | protobuf | — | direct |
| PyPI | pyarrow | — | direct |
| PyPI | pydantic | — | direct |
| PyPI | pydantic | 2.11.9 | direct |
| PyPI | pyiceberg | — | direct |
| PyPI | pytest | — | direct |
| PyPI | pytz | — | direct |
| PyPI | pyyaml | — | direct |
| PyPI | requests | — | direct |
| PyPI | rich | — | direct |
| PyPI | sagemaker-core | — | direct |
| PyPI | sagemaker-mlflow | — | direct |
| PyPI | sagemaker-mlops | — | direct |
| PyPI | sagemaker-serve | — | direct |
| PyPI | sagemaker-train | — | direct |
| PyPI | schema | — | direct |
| PyPI | scipy | — | direct |
| PyPI | scipy | 1.10.1 | direct |
| PyPI | scipy | 1.13.0 | direct |
| PyPI | smdebug-rulesconfig | — | direct |
| PyPI | tblib | — | direct |
| PyPI | torch | — | direct |
| PyPI | torch | 2.0.1+cpu | direct |
| PyPI | torch | 2.7.0 | direct |
| PyPI | tqdm | — | direct |
| PyPI | typing-extensions | — | direct |
| PyPI | altair | — | indirect |
| PyPI | anyio | — | indirect |
| PyPI | astroid | 3.0.2 | indirect |
| PyPI | awscli | — | indirect |
| PyPI | black | — | indirect |
| PyPI | black | 24.3.0 | indirect |
| PyPI | blinker | — | indirect |
| PyPI | build | — | indirect |
| PyPI | build | 1.2.1 | indirect |
| PyPI | cachetools | — | indirect |
| PyPI | certifi | 2024.7.4 | indirect |
| PyPI | charset-normalizer | — | indirect |
| PyPI | click | — | indirect |
| PyPI | colorama | — | indirect |
| PyPI | contextlib2 | — | indirect |
| PyPI | datasets | — | indirect |
| PyPI | decorator | — | indirect |
| PyPI | dill | — | indirect |
| PyPI | doc8 | 1.1.2 | indirect |
| PyPI | docker | — | indirect |
| PyPI | docutils | — | indirect |
| PyPI | does-not-exist | — | indirect |
| PyPI | entrypoints | — | indirect |
| PyPI | fastapi | — | indirect |
| PyPI | filelock | — | indirect |
| PyPI | flake8 | 7.1.2 | indirect |
| PyPI | flake8-future-import | 0.4.7 | indirect |
| PyPI | gitdb | — | indirect |
| PyPI | gitpython | — | indirect |
| PyPI | gunicorn | — | indirect |
| PyPI | h11 | — | indirect |
| PyPI | httpx | — | indirect |
| PyPI | huggingface-hub | — | indirect |
| PyPI | idna | — | indirect |
| PyPI | ipywidgets | — | indirect |
| PyPI | jmespath | — | indirect |
| PyPI | markdown-it-py | — | indirect |
| PyPI | markupsafe | — | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | mdurl | — | indirect |
| PyPI | mpmath | — | indirect |
| PyPI | multiprocess | — | indirect |
| PyPI | mypy | 0.942 | indirect |
| PyPI | myst-nb | — | indirect |
| PyPI | myst-parser | — | indirect |
| PyPI | nbsphinx | — | indirect |
| PyPI | networkx | — | indirect |
| PyPI | pathos | — | indirect |
| PyPI | pillow | — | indirect |
| PyPI | pox | — | indirect |
| PyPI | ppft | — | indirect |
| PyPI | protobuf3-to-dict | — | indirect |
| PyPI | pyasn1 | — | indirect |
| PyPI | pydantic-core | 2.33.2 | indirect |
| PyPI | pydeck | — | indirect |
| PyPI | pydocstyle | 6.1.1 | indirect |
| PyPI | pyenchant | 3.2.2 | indirect |
| PyPI | pygments | — | indirect |
| PyPI | pygments | 2.18.0 | indirect |
| PyPI | pylint | — | indirect |
| PyPI | pylint | 3.0.3 | indirect |
| PyPI | pympler | — | indirect |
| PyPI | pyrsistent | — | indirect |
| PyPI | pyspark | 3.5.1 | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-rerunfailures | — | indirect |
| PyPI | pytest-xdist | — | indirect |
| PyPI | python-dateutil | — | indirect |
| PyPI | pytz-deprecation-shim | — | indirect |
| PyPI | regex | — | indirect |
| PyPI | rsa | — | indirect |
| PyPI | s3transfer | — | indirect |
| PyPI | sagemaker | — | indirect |
| PyPI | sagemaker-feature-store-pyspark | — | indirect |
| PyPI | sagemaker-feature-store-pyspark | 2.0.0 | indirect |
| PyPI | scikit-learn | 1.6.1 | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | six | — | indirect |
| PyPI | smmap | 5.0.0 | indirect |
| PyPI | sniffio | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx | 7.4.7 | indirect |
| PyPI | sphinx-autobuild | — | indirect |
| PyPI | sphinx-book-theme | — | indirect |
| PyPI | sphinx-copybutton | — | indirect |
| PyPI | sphinx-design | — | indirect |
| PyPI | sphinx-rtd-theme | 2.0.0 | indirect |
| PyPI | starlette | — | indirect |
| PyPI | streamlit | — | indirect |
| PyPI | sympy | — | indirect |
| PyPI | tensorflow | — | indirect |
| PyPI | tokenizers | — | indirect |
| PyPI | toml | — | indirect |
| PyPI | toolz | — | indirect |
| PyPI | tornado | — | indirect |
| PyPI | transformers | — | indirect |
| PyPI | twine | 5.0.0 | indirect |
| PyPI | tzdata | — | indirect |
| PyPI | tzlocal | — | indirect |
| PyPI | urllib3 | — | indirect |
| PyPI | uvicorn | — | indirect |
| PyPI | validators | — | indirect |
| PyPI | zipp | — | indirect |
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"key": "sast",
"name": "SAST",
"detail": "SAST tool detected but not run on all commits",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "146 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "good",
"name": "AI Readiness",
"value": 74,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "excellent",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 100,
"inputs": {
"has_llms_txt": true,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md"
],
"agent_instruction_max_bytes": 7702
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": "llms.txt present",
"points": 15,
"status": "met",
"details": [
{
"code": "llms_txt_present",
"params": {}
}
],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 74,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"docs/Makefile",
"sagemaker-core/docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "docs/Makefile, sagemaker-core/docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docs/Makefile, sagemaker-core/docs/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".pylintrc, tox.ini",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".pylintrc, tox.ini"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 53,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 1579353,
"source_files_sampled": 1197,
"oversized_source_files": 38
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "38/1197 source files over 60KB",
"points": 53.3,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 1197,
"oversized": 38
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"notebooks",
"sample"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "notebooks, sample",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "notebooks, sample"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-16T06:27:21.040638Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/aws/sagemaker-python-sdk.svg",
"full_name": "aws/sagemaker-python-sdk",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.