Public recordGood
Software health reportschema 0.14.0 · metrics 1.13.0 · 2026-07-18 17:25 UTC
SuperCowPowers / workbench
Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models
SuperCowPowers/workbench holds a health index of 72 out of 100, placing it in the Good band. It scores highest on Vitality (96/100) and lowest on AI Readiness (44/100). It was last updated today. A single contributor accounts for most of its recent work.
72
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.
72
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
SuperCowPowersOrganization
29 followers13 public repossince Mar 2014
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 | workbench | 0.8.409 | 10,144 | 330 | 0 days ago | sagemakermachine-learningawspythonutilities |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
96
Development activity
100Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 36/36 | Commit cadence — 52/52 weeks with commits |
| 18/18 | Commit volume — 2,128 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 2,128 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~1.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 100 |
| latest_release_tag | v0.8.409 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 1.1 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
57
Popularity & adoption
34At risk
How it's scored
| 27.6/60 | Stars — 51 stars |
| 6.5/25 | Forks — 7 forks |
| 0/15 | Watchers — 2 watchers |
Inputs used
| forks | 7 |
| stars | 51 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
77Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | 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 | no |
| has_pull_request_template | yes |
Ecosystem adoption (downloads)
67Moderate
How it's scored
| 53.4/80 | Monthly downloads — 10,144 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | workbench |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 10,144 |
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?
58
Maintainer resilience (bus factor)
30At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0.3/22.5 | Commit distribution — top contributor authored 99% of commits |
| 10.8/13.5 | Contributor breadth — 8 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 8 |
| top_contributor_share | 0.986 |
Issue & PR responsiveness
56Moderate
How it's scored
| 28.3/46.8 | Issue resolution — 60% of issues closed |
| 27.7/38.3 | PR acceptance — 81/112 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 81 |
| open_issues | 192 |
| closed_issues | 294 |
| issue_closed_ratio | 0.605 |
| closed_unmerged_prs | 31 |
Ownership & stewardship
61Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 10.6/25 | Owner reach — 29 followers of SuperCowPowers |
| 20.3/25 | Track record — 13 public repos, account ~12 yr old |
Inputs used
| followers | 29 |
| owner_type | Organization |
| is_verified | — |
| owner_login | SuperCowPowers |
| public_repos | 13 |
| account_age_days | 4,513 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 330 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | workbench |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
95
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 7 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — .flake8, tox.ini |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://www.supercowpowers.com |
| 10/10 | Repository description |
| 10/10 | Topics — 7 topics |
| 10/10 | Wiki |
Inputs used
| topics | aws, big-data, machine-learning, python, spark, data-engineering, pandas |
| has_wiki | yes |
| homepage | https://www.supercowpowers.com |
| 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?
50
Security posture
50Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 0/2.5 | CI-Tests — no data |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 6 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no 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 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 10 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5 |
Excluded from scoring (no data or not applicable): branch_protection, ci_tests. 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.
44
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — .flake8, tox.ini |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile, lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 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 | uv.lock |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 54.7/55 | Manageable file sizes — 4/637 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 70,242 |
| source_files_sampled | 637 |
| oversized_source_files | 4 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, notebooks |
Inputs used
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
51GitHub stars
8contributors
2,128commits, last 12 months
0days since last push
100releases
1bus factor
192open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 5.0 / 10
5.0aggregate
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 |
| n/a | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| n/a | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 6 contributing companies or organizations |
| 10 | Dangerous-Workflow | no 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 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 10 existing vulnerabilities detected |
Direct dependencies 22
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | boto3 | >= 1.42.2 | pyproject.toml |
| PyPI | botocore | >= 1.42.2 | pyproject.toml |
| PyPI | awswrangler | >= 3.4.0 | pyproject.toml |
| PyPI | sagemaker | >= 3.6.0, < 3.13 | pyproject.toml |
| PyPI | sagemaker-core | >= 2.12.0, < 2.13 | pyproject.toml |
| PyPI | sagemaker-mlops | >= 1.12.0, < 1.13 | pyproject.toml |
| PyPI | sagemaker-serve | >= 1.12.0, < 1.13 | pyproject.toml |
| PyPI | sagemaker-train | >= 1.12.0, < 1.13 | pyproject.toml |
| PyPI | redis | >= 5.0.1 | pyproject.toml |
| PyPI | cryptography | >= 46.0.0 | pyproject.toml |
| PyPI | requests | >= 2.26.0 | pyproject.toml |
| PyPI | aiobotocore | >= 3.7.0 | pyproject.toml |
| PyPI | pandas | >= 2.2.1, < 3.0 | pyproject.toml |
| PyPI | scikit-learn | >= 1.5.2 | pyproject.toml |
| PyPI | xgboost | >= 3.0.3 | pyproject.toml |
| PyPI | joblib | >= 1.3.2 | pyproject.toml |
| PyPI | rdkit | >= 2026.3.1 | pyproject.toml |
| PyPI | mordredcommunity | >= 2.0.6 | pyproject.toml |
| PyPI | ipython | >= 8.37.0 | pyproject.toml |
| PyPI | pyreadline3 | — | pyproject.toml |
| PyPI | matplotlib | >= 3.9.2 | pyproject.toml |
| PyPI | networkx | >= 3.2 | pyproject.toml |
All dependencies 295
Full resolved dependency set from the GitHub dependency graph: 35 direct and 260 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | aiobotocore | 3.7.0 | direct |
| PyPI | awswrangler | — | direct |
| PyPI | awswrangler | 3.16.1 | direct |
| PyPI | boto3 | — | direct |
| PyPI | boto3 | 1.43.0 | direct |
| PyPI | botocore | — | direct |
| PyPI | botocore | 1.43.0 | direct |
| PyPI | cryptography | 48.0.1 | direct |
| PyPI | ipython | 8.39.0 | direct |
| PyPI | ipython | 9.14.1 | direct |
| PyPI | joblib | — | direct |
| PyPI | joblib | 1.5.3 | direct |
| PyPI | matplotlib | 3.10.9 | direct |
| PyPI | mordredcommunity | — | direct |
| PyPI | mordredcommunity | 2.0.7 | direct |
| PyPI | networkx | — | direct |
| PyPI | networkx | 3.4.2 | direct |
| PyPI | networkx | 3.6.1 | direct |
| PyPI | pandas | — | direct |
| PyPI | pandas | 2.3.3 | direct |
| PyPI | pyreadline3 | 3.5.6 | direct |
| PyPI | rdkit | — | direct |
| PyPI | rdkit | 2026.3.3 | direct |
| PyPI | redis | 8.0.0 | direct |
| PyPI | requests | — | direct |
| PyPI | requests | 2.34.2 | direct |
| PyPI | sagemaker | 3.12.0 | direct |
| PyPI | sagemaker-core | 2.12.0 | direct |
| PyPI | sagemaker-mlops | 1.12.0 | direct |
| PyPI | sagemaker-serve | 1.12.0 | direct |
| PyPI | sagemaker-train | 1.12.0 | direct |
| PyPI | scikit-learn | — | direct |
| PyPI | scikit-learn | 1.7.2 | direct |
| PyPI | scikit-learn | 1.9.0 | direct |
| PyPI | xgboost | 3.2.0 | direct |
| PyPI | aiohappyeyeballs | 2.6.2 | indirect |
| PyPI | aiohttp | 3.14.1 | indirect |
| PyPI | aioitertools | 0.13.0 | indirect |
| PyPI | aiosignal | 1.4.0 | indirect |
| PyPI | alembic | 1.18.4 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | antlr4-python3-runtime | 4.9.3 | indirect |
| PyPI | anyio | 4.13.0 | indirect |
| PyPI | asgiref | — | indirect |
| PyPI | asttokens | 3.0.1 | indirect |
| PyPI | async-timeout | 5.0.1 | indirect |
| PyPI | attrs | 26.1.0 | indirect |
| PyPI | aws-cdk-asset-awscli-v1 | 2.2.282 | indirect |
| PyPI | aws-cdk-asset-node-proxy-agent-v6 | 2.1.2 | indirect |
| PyPI | aws-cdk-cloud-assembly-schema | 54.8.0 | indirect |
| PyPI | aws-cdk-lib | — | indirect |
| PyPI | aws-cdk-lib | 2.211.0 | indirect |
| PyPI | aws-cdk-lib | 2.261.0 | indirect |
| PyPI | babel | 2.18.0 | indirect |
| PyPI | backrefs | 7.0 | indirect |
| PyPI | bcrypt | 5.0.0 | indirect |
| PyPI | black | — | indirect |
| PyPI | black | 26.5.1 | indirect |
| PyPI | blinker | 1.9.0 | indirect |
| PyPI | brotli | 1.2.0 | indirect |
| PyPI | cachebox | 5.2.3 | indirect |
| PyPI | cachetools | 6.2.6 | indirect |
| PyPI | cattrs | 26.1.0 | indirect |
| PyPI | certifi | 2026.5.20 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | charset-normalizer | 3.4.7 | indirect |
| PyPI | chemprop | — | indirect |
| PyPI | click | 8.4.1 | indirect |
| PyPI | cloudpickle | 3.1.2 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | colorlog | 6.10.1 | indirect |
| PyPI | constructs | — | indirect |
| PyPI | constructs | 10.6.0 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | coverage | — | indirect |
| PyPI | coverage | 7.14.1 | indirect |
| PyPI | cuda-bindings | 13.3.1 | indirect |
| PyPI | cuda-pathfinder | 1.5.5 | indirect |
| PyPI | cuda-toolkit | 13.0.2 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | dash | 4.2.0 | indirect |
| PyPI | dash-ag-grid | 35.2.0 | indirect |
| PyPI | dash-bootstrap-components | 2.0.4 | indirect |
| PyPI | databricks-sdk | 0.116.0 | indirect |
| PyPI | decorator | 5.3.1 | indirect |
| PyPI | deepdiff | 9.1.0 | indirect |
| PyPI | docker | 7.1.0 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | execnet | 2.1.2 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | fastapi | — | indirect |
| PyPI | fastapi | 0.136.3 | indirect |
| PyPI | filelock | 3.29.3 | indirect |
| PyPI | flake8 | — | indirect |
| PyPI | flake8 | 7.3.0 | indirect |
| PyPI | flask | 3.1.3 | indirect |
| PyPI | flask-cors | 6.0.5 | indirect |
| PyPI | flatbuffers | 25.12.19 | indirect |
| PyPI | fonttools | 4.63.0 | indirect |
| PyPI | frozenlist | 1.8.0 | indirect |
| PyPI | fsspec | 2026.4.0 | indirect |
| PyPI | gevent | 26.5.0 | indirect |
| PyPI | geventhttpclient | 2.3.9 | indirect |
| PyPI | ghp-import | 2.1.0 | indirect |
| PyPI | gitdb | 4.0.12 | indirect |
| PyPI | gitpython | 3.1.50 | indirect |
| PyPI | google-auth | 2.53.0 | indirect |
| PyPI | graphene | 3.4.3 | indirect |
| PyPI | graphql-core | 3.2.11 | indirect |
| PyPI | graphql-relay | 3.2.0 | indirect |
| PyPI | greenlet | 3.3.2 | indirect |
| PyPI | griffelib | 2.1.0 | indirect |
| PyPI | gunicorn | 26.0.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | huey | 3.0.1 | indirect |
| PyPI | idna | 3.18 | indirect |
| PyPI | importlib-metadata | 6.11.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | invoke | 3.0.3 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | itsdangerous | 2.2.0 | indirect |
| PyPI | janus | 2.0.0 | indirect |
| PyPI | jedi | 0.20.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | jmespath | 1.1.0 | indirect |
| PyPI | jsii | 1.138.0 | indirect |
| PyPI | json5 | 0.14.0 | indirect |
| PyPI | jsonschema | 4.26.0 | indirect |
| PyPI | jsonschema-specifications | 2025.9.1 | indirect |
| PyPI | kiwisolver | 1.5.0 | indirect |
| PyPI | llvmlite | 0.47.0 | indirect |
| PyPI | mako | 1.3.12 | indirect |
| PyPI | markdown | 3.10.2 | indirect |
| PyPI | markdown-it-py | 4.2.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | matplotlib-inline | 0.2.2 | indirect |
| PyPI | mccabe | 0.7.0 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | mergedeep | 1.3.4 | indirect |
| PyPI | mkdocs | 1.6.1 | indirect |
| PyPI | mkdocs-autorefs | 1.4.4 | indirect |
| PyPI | mkdocs-get-deps | 0.2.2 | indirect |
| PyPI | mkdocs-material | 9.7.7 | indirect |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirect |
| PyPI | mkdocstrings | 1.0.6 | indirect |
| PyPI | mkdocstrings-python | 2.0.5 | indirect |
| PyPI | ml-dtypes | 0.5.4 | indirect |
| PyPI | mlflow | 3.13.0 | indirect |
| PyPI | mlflow-skinny | 3.13.0 | indirect |
| PyPI | mlflow-tracing | 3.13.0 | indirect |
| PyPI | mmh3 | 5.2.1 | indirect |
| PyPI | mock | 4.0.3 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | msgpack | 1.2.1 | indirect |
| PyPI | multidict | 6.7.1 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | narwhals | 2.22.1 | indirect |
| PyPI | nest-asyncio | 1.6.0 | indirect |
| PyPI | numba | 0.65.1 | indirect |
| PyPI | numpy | 2.2.6 | indirect |
| PyPI | numpy | 2.4.6 | indirect |
| PyPI | nvidia-cublas | 13.1.1.3 | indirect |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirect |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirect |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirect |
| PyPI | nvidia-cudnn-cu13 | 9.20.0.48 | indirect |
| PyPI | nvidia-cufft | 12.0.0.61 | indirect |
| PyPI | nvidia-cufile | 1.15.1.6 | indirect |
| PyPI | nvidia-curand | 10.4.0.35 | indirect |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirect |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirect |
| PyPI | nvidia-cusparselt-cu13 | 0.8.1 | indirect |
| PyPI | nvidia-nccl-cu12 | 2.30.7 | indirect |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirect |
| PyPI | nvidia-nvjitlink | 13.0.88 | indirect |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirect |
| PyPI | nvidia-nvtx | 13.0.85 | indirect |
| PyPI | omegaconf | 2.3.0 | indirect |
| PyPI | onnx | 1.22.0 | indirect |
| PyPI | onnxruntime | 1.24.3 | indirect |
| PyPI | onnxruntime | 1.26.0 | indirect |
| PyPI | opentelemetry-api | 1.42.1 | indirect |
| PyPI | opentelemetry-proto | 1.42.1 | indirect |
| PyPI | opentelemetry-sdk | 1.42.1 | indirect |
| PyPI | opentelemetry-semantic-conventions | 0.63b1 | indirect |
| PyPI | optuna | 4.9.0 | indirect |
| PyPI | orderly-set | 5.5.0 | indirect |
| PyPI | packaging | 26.2 | indirect |
| PyPI | paginate | 0.5.7 | indirect |
| PyPI | paramiko | 5.0.0 | indirect |
| PyPI | parso | 0.8.7 | indirect |
| PyPI | pathspec | 1.1.1 | indirect |
| PyPI | pexpect | 4.9.0 | indirect |
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"login": "dependabot[bot]",
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{
"type": "User",
"login": "keilogic",
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{
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{
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{
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{
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{
"name": "Contributors",
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{
"name": "Dangerous-Workflow",
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"reason": "no dangerous workflow patterns detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
},
{
"name": "Dependency-Update-Tool",
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"reason": "update tool detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
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{
"name": "Fuzzing",
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"reason": "project is not fuzzed",
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},
{
"name": "License",
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{
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{
"name": "Packaging",
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{
"name": "Pinned-Dependencies",
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{
"name": "SAST",
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"reason": "no SAST tool detected",
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{
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{
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{
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{
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],
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{
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{
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]
},
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"key": "release_discipline",
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]
},
{
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"metrics": [
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]
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"key": "community_health",
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"points": 22.5,
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{
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"code": "license_standard",
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{
"code": "license_spdx",
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{
"key": "code_of_conduct",
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},
{
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{
"key": "pr_template",
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]
},
{
"key": "ecosystem_adoption",
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"code": "excluded_no_data",
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"components": [
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],
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{
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],
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{
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"top_contributor_share": 0.986
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 99% of commits",
"points": 0.3,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 99
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "8 contributors",
"points": 10.8,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 8
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 6 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "moderate",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 56,
"inputs": {
"merged_prs": 81,
"open_issues": 192,
"closed_issues": 294,
"issue_closed_ratio": 0.605,
"closed_unmerged_prs": 31
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "60% of issues closed",
"points": 28.3,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 60
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "81/112 decided PRs merged",
"points": 27.7,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 81,
"decided": 112
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "moderate",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 61,
"inputs": {
"followers": 29,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "SuperCowPowers",
"public_repos": 13,
"account_age_days": 4513
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "29 followers of SuperCowPowers",
"points": 10.6,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 29,
"login": "SuperCowPowers"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "13 public repos, account ~12 yr old",
"points": 20.3,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 13
}
},
{
"code": "account_age_years",
"params": {
"years": 12
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"workbench"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 0
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 0 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 0
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "330 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 330
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 95,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_ci_tests"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 92,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "7 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 7
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": ".flake8, tox.ini",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8, tox.ini"
}
}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
"aws",
"big-data",
"machine-learning",
"python",
"spark",
"data-engineering",
"pandas"
],
"has_wiki": true,
"homepage": "https://www.supercowpowers.com",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://www.supercowpowers.com",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "7 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 7
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 50,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, CI-Tests. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"branch_protection",
"ci_tests"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 50,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 5
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 6 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "no SAST tool detected",
"points": 0,
"status": "missed",
"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": "Project has not signed or included provenance with any releases.",
"points": 0,
"status": "missed",
"details": [],
"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": "10 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": 3
},
"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": "at_risk",
"name": "AI Readiness",
"value": 44,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"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": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 73,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "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": ".flake8, tox.ini",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8, 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, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile, lockfile"
}
}
],
"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": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"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": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 70242,
"source_files_sampled": 637,
"oversized_source_files": 4
},
"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": "4/637 source files over 60KB",
"points": 54.7,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 637,
"oversized": 4
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples",
"notebooks"
],
"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": "examples, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks"
}
}
],
"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": "2026-07-18T17:25:10.029741Z",
"schema_version": "0.14.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/SuperCowPowers/workbench.svg",
"full_name": "SuperCowPowers/workbench",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.14.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.