Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-10 11:43 UTC

alrayyes / pipeline-analytics-sdk-python

Python client for the pipeline-analytics REST API, generated from its OpenAPI spec with openapi-python-client

PythonMIT★ 0 stars⑂ 0 forkssince Sep 2026View on GitHub ↗

alrayyes/pipeline-analytics-sdk-python holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (94/100) and lowest on Community & Adoption (41/100). It was last updated today. A single contributor accounts for most of its recent work.

78
overall / 100
Good

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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Ryan KesPersonal account
15 followers116 public repossince Dec 2010

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpipeline-analytics-sdk3.0.72,111250 days ago

Metrics by category

Vitality

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

74Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
2.8/36Commit cadence — 4/52 weeks with commits
17.9/18Commit volume — 97 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year97
human_commit_share0.798
days_since_last_push0
active_weeks_last_year4

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tagv3.0.7
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.7
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?

41Weak · 17% of overall
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes
How it's scored
44.3/80Monthly downloads — 2,111 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespipeline-analytics-sdk
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,111
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
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
42/42Issue resolution — 100% of issues closed
30/30PR acceptance — 80/80 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 5/19 approved changesets -- score normalized to 2
Inputs used
merged_prs80
open_issues0
closed_issues11
prs_merged_7d29
prs_decided_7d29
prs_merged_30d55
prs_decided_30d55
issue_closed_ratio1
closed_unmerged_prs0
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.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8.7/25Owner reach — 15 followers of alrayyes
25/25Track record — 116 public repos, account ~15 yr old
Inputs used
followers15
owner_typeUser
is_verified—
owner_loginalrayyes
public_repos116
account_age_days5,787
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 25 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespipeline-analytics-sdk
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

94Exceptional · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 23 out of 23 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://alrayyes.github.io/pipeline-analytics-sdk-python/
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsapi-client, ci-analytics, openapi, openapi-python-client, pypi, python, rest-api, sdk
has_wikiyes
homepagehttps://alrayyes.github.io/pipeline-analytics-sdk-python/
docs_sitehttps://alrayyes.github.io/pipeline-analytics-sdk-python/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
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 — 23 out of 23 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
1.5/7.5Code-Review — Found 5/19 approved changesets -- score normalized to 2
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages90
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 90 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

69Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 79 of 79 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/pipeline_analytics/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 5 of the last 99 commits agent-authored or agent-credited
8/8Automated maintenance — 10 of the last 99 commits are automated dependency updates
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/pipeline_analytics/py.typed
agent_commit_share0.051
toolchain_manifests—
dependency_bot_commit_share0.101
How it's scored
27/45Type-checkable code — Python with type-check config (src/pipeline_analytics/py.typed)
55/55Manageable file sizes — 0/158 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes17,406
source_files_sampled158
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — openapi/openapi.yaml
0/20MCP server — not applicable to this kind of software
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalno
api_schema_filesopenapi/openapi.yaml
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

0GitHub stars
1contributors
97commits, last 12 months
0days since last push
28releases
1bus factor
0open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:pipeline-analytics-sdk@3.0.7; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-10-10 11:43 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-Tests23 out of 23 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 5/19 approved changesets -- score normalized to 2
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIattrs==26.1.0pyproject.toml
PyPIhttpx==0.28.1pyproject.toml
All dependencies 90

Full resolved dependency set from the GitHub dependency graph: 2 direct and 88 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs26.1.0direct
PyPIhttpx0.28.1direct
npm@commitlint/cli21.2.3indirect
npm@commitlint/config-conventional21.2.3indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIast-serialize0.11.2indirect
PyPIbabel2.18.0indirect
PyPIbackrefs8.0indirect
PyPIbandit1.9.4indirect
PyPIboolean-py5.0indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.1indirect
PyPIcyclonedx-python-lib11.12.0indirect
PyPIdefusedxml0.7.1indirect
PyPIfilelock4.0.0indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.3.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIidna3.20indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibcst1.9.0indirect
PyPIlibrt0.16.0indirect
PyPIlicense-expression30.4.4indirect
PyPIlinkify-it-py2.2.0indirect
PyPImarkdown3.10.3indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.8indirect
PyPImsgpack1.2.2indirect
PyPImutmut3.8.0indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPIopenapi-python-client0.29.1indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.35indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIpipeline-analytics-sdk3.0.7indirect
PyPIplatformdirs4.11.9indirect
PyPIpluggy1.6.0indirect
PyPIpy-serializable2.1.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpymdown-extensions12.0.1indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIpyyaml-ft8.0.0indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIruamel-yaml0.19.1indirect
PyPIruff0.16.10indirect
PyPIsetproctitle1.3.7indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIstevedore5.9.1indirect
PyPItextual8.2.8indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItyper0.27.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.8.0indirect
PyPIwatchdog6.0.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 90 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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.