Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 01:41 UTC

SuperCowPowers / workbench

Workbench: An easy to use Python API for creating and deploying AWS SageMaker Models

PythonMIT★ 51 stars⑂ 7 forkssince Dec 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#aws#big-data#machine-learning#python#spark#data-engineering#pandas

SuperCowPowers/workbench holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on AI Readiness (51/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

88
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

88
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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.

The weighted overall 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

SuperCowPowersOrganization
30 followers13 public repossince Mar 2014

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIworkbench0.8.48110,9704021 day agosagemakermachine-learningawspythonutilities

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 1 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 2,321 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,321
human_commit_share1
days_since_last_push1
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~1.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.8.481
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases1.1

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

57Moderate · 17% of overall

Popularity & adoption

34At Risk
How it's scored
27.6/60Stars — 51 stars
6.5/25Forks — 7 forks
0/15Watchers — 2 watchers
Inputs used
forks7
stars51
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

67Good
How it's scored
53.9/80Monthly downloads — 10,970 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesworkbench
dependents—
ecosystemspypi
total_downloads—
monthly_downloads10,970
unverified_packages_excluded—
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?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

29At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
9.5/13.5Contributor breadth — 7 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.987

Issue & PR responsiveness

55Moderate
How it's scored
25.4/42Issue resolution — 60% of issues closed
22.5/30PR acceptance — 96/128 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs96
open_issues192
closed_issues294
prs_merged_7d1
prs_decided_7d1
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.605
closed_unmerged_prs32
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

61Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.7/25Owner reach — 30 followers of SuperCowPowers
20.3/25Track record — 13 public repos, account ~12 yr old
Inputs used
followers30
owner_typeOrganization
is_verifiedno
owner_loginSuperCowPowers
public_repos13
account_age_days4,568

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 402 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesworkbench
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.black]), tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.supercowpowers.com
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsaws, big-data, machine-learning, python, spark, data-engineering, pandas
has_wikiyes
homepagehttps://www.supercowpowers.com
docs_sitehttps://www.supercowpowers.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

65Good · 16% of overall

Security posture

56Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages203
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:workbench@0.8.481 runtime dependency closure — what installing the published package pulls in — 203 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

51Moderate · 4% of overall

Agent context & guidance

4Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
3.7/40Legible commit history — 7 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.07
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

66Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.black]), tox.ini
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.7/55Manageable file sizes — 4/788 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes75,529
source_files_sampled788
oversized_source_files4

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

51GitHub stars
7contributors
2,321commits, last 12 months
1days since last push
100releases
1bus factor
192open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 7 ⇿
0Stars
7Forks

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

1234567712024-052025-052026-05

Each point covers 2 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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).Scorecard v5.5.0 · 2026-09-11 01:40 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
10CI-Tests1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities10 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
PyPIboto3>= 1.42.2pyproject.toml
PyPIbotocore>= 1.42.2pyproject.toml
PyPIawswrangler>= 3.4.0pyproject.toml
PyPIsagemaker>= 3.6.0, < 3.13pyproject.toml
PyPIsagemaker-core>= 2.12.0, < 2.13pyproject.toml
PyPIsagemaker-mlops>= 1.12.0, < 1.13pyproject.toml
PyPIsagemaker-serve>= 1.12.0, < 1.13pyproject.toml
PyPIsagemaker-train>= 1.12.0, < 1.13pyproject.toml
PyPIredis>= 5.0.1pyproject.toml
PyPIrequests>= 2.26.0pyproject.toml
PyPIaiobotocore>= 3.7.0pyproject.toml
PyPIpandas>= 2.2.1, < 3.0pyproject.toml
PyPIscikit-learn>= 1.5.2pyproject.toml
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PyPIduckdb>= 1.5.0pyproject.toml
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PyPImatplotlib>= 3.9.2pyproject.toml
PyPInetworkx>= 3.2pyproject.toml
PyPIanthropic>= 0.117.0pyproject.toml
All dependencies 319

Full resolved dependency set from the GitHub dependency graph: 34 direct and 285 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIrdkit2026.3.4direct
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PyPIpynacl1.6.2indirect
PyPIpynndescent0.6.0indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-api1.11.0indirect
PyPIpyroaring1.1.0indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-sugar—indirect
PyPIpytest-sugar1.1.1indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-rapidjson1.23indirect
PyPIpytokens0.4.1indirect
PyPIpytorch-lightning2.6.5indirect
PyPIpytz2026.2indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIray2.56.0indirect
PyPIreferencing0.37.0indirect
PyPIretrying1.4.2indirect
PyPIrpds-py2026.5.1indirect
PyPIs3fs2026.4.0indirect
PyPIs3transfer0.17.1indirect
PyPIsagemaker-mlflow0.4.0indirect
PyPIsagemaker-schema-inference-artifacts0.0.5indirect
PyPIschema0.7.8indirect
PyPIscipy1.17.1indirect
PyPIsetuptools83.0.0indirect
PyPIshap—indirect
PyPIsix1.17.0indirect
PyPIskops0.14.0indirect
PyPIsmdebug-rulesconfig1.0.1indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIsqlalchemy2.0.50indirect
PyPIsqlparse0.6.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.3.1indirect
PyPIstrictyaml1.7.3indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItblib3.2.2indirect
PyPItenacity9.1.4indirect
PyPItensorboardx2.6.5indirect
PyPItermcolor3.3.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItomli2.4.1indirect
PyPItorch—indirect
PyPItorch2.13.0indirect
PyPItorchmetrics1.9.0indirect
PyPItox4.35.0indirect
PyPItqdm—indirect
PyPItqdm4.68.2indirect
PyPItraitlets5.15.1indirect
PyPItriton3.7.1indirect
PyPItritonclient2.69.0indirect
PyPItypeguard2.13.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIumap-learn—indirect
PyPIumap-learn0.5.12indirect
PyPIurllib32.7.0indirect
PyPIuvicorn—indirect
PyPIuvicorn0.49.0indirect
PyPIvirtualenv21.7.0indirect
PyPIwaitress3.0.2indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.1indirect
PyPIwerkzeug3.1.8indirect
PyPIwrapt2.2.1indirect
PyPIxarray2026.7.0indirect
PyPIxgboost-cpu—indirect
PyPIyarl1.24.2indirect
PyPIzipp4.1.0indirect
PyPIzope-event6.2indirect
PyPIzope-interface8.5indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:workbench@0.8.481 pulls in 203 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.