Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 16:39 UTC

arini-ai / azure-switchboard

Coordination-free client loadbalancer for Azure Foundry

PythonMIT★ 3 stars⑂ 1 forksince Feb 2025View on GitHub ↗
KindLibraryhow this is determined

arini-ai/azure-switchboard holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on AI Readiness (80/100) and lowest on Community & Adoption (36/100). It was last updated 16 days ago. A single contributor accounts for most of its recent work.

62
overall / 100
Moderate

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.

62
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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

Arini AIOrganization · verified domain
1 follower1 public reposince Dec 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIazure-switchboard2026.8.28,1522860 days agoaianthropicazureclaudellmloadbalancingopenai

Metrics by category

Vitality

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

67Good · 21% of overall

Development activity

52Moderate
How it's scored
28.8/36Push recency — last push 16 days ago
5.5/36Commit cadence — 8/52 weeks with commits
13.1/18Commit volume — 28 commits in the last year
5/10OpenSSF Scorecard: Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
Inputs used
commits_last_year28
human_commit_share0.77
days_since_last_push16
active_weeks_last_year8

Release discipline

90Excellent
How it's scored
27/27Ships releases — 32 releases published
36/36Release recency — latest release 60 days ago
27/27Release cadence — a release every ~21.2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count32
latest_release_tag2026.8.2
releases_from_tagsno
days_since_latest_release60
mean_days_between_releases21.2

Community & Adoption

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

36Weak · 17% of overall

Popularity & adoption

5Critical
How it's scored
4.9/60Stars — 3 stars
0/25Forks — 1 forks
0/15Watchers — 2 watchers
Inputs used
forks1
stars3
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

65Good
How it's scored
52.2/80Monthly downloads — 8,152 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesazure-switchboard
dependents—
ecosystemspypi
total_downloads—
monthly_downloads8,152
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?

59Moderate · 23% of overall

Maintainer resilience (bus factor)

24At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.1/22.5Commit distribution — top contributor authored 90% of commits
2.7/13.5Contributor breadth — 2 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.905

Issue & PR responsiveness

70Good
How it's scored
33.6/42Issue resolution — 80% of issues closed
27.2/30PR acceptance — 58/64 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/30 approved changesets -- score normalized to 0
Inputs used
merged_prs58
open_issues1
closed_issues4
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.8
closed_unmerged_prs6
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

58Moderate
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
2.2/25Owner reach — 1 followers of arini-ai
5.9/25Track record — 1 public repos, account ~1 yr old
Inputs used
followers1
owner_typeOrganization
is_verifiedyes
owner_loginarini-ai
public_repos1
account_age_days685

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 60 days ago
20/20Version history — 28 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesazure-switchboard
ecosystemspypi
any_deprecatedno
min_days_since_publish60

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 13 out of 14 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

40Weak
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

45Weak · 16% of overall

Security posture

31At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 13 out of 14 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
3.8/7.5Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not 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 — 45 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.1
Excluded from scoring (no data or not applicable): Packaging. 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_packages19
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:azure-switchboard@2026.8.2 runtime dependency closure — what installing the published package pulls in — 19 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.

80Excellent · 4% of overall

Agent context & guidance

76Good
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
30.5/40Legible commit history — 44 of 77 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.571
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes4,259

Verify loop (build / test / typecheck)

82Excellent
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — src/azure_switchboard/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/azure_switchboard/py.typed
agent_commit_share0.06
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/azure_switchboard/py.typed)
55/55Manageable file sizes — 0/18 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes43,326
source_files_sampled18
oversized_source_files0

Key facts

3GitHub stars
2contributors
28commits, last 12 months
16days since last push
32releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 3.1 / 10
3.1aggregate

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 · 2026-10-19 16:38 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests13 out of 14 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
5Maintained7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities45 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIanthropic>=0.122.0pyproject.toml
PyPIopenai>=2.0.0pyproject.toml
PyPIopentelemetry-api>=1.30.0pyproject.toml
PyPItenacity>=9.0.0pyproject.toml
PyPIwrapt>=1.17.2pyproject.toml
All dependencies 123

Full resolved dependency set from the GitHub dependency graph: 5 direct and 118 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanthropic0.122.0direct
PyPIopenai2.17.0direct
PyPIopentelemetry-api1.39.1direct
PyPItenacity9.1.4direct
PyPIwrapt1.17.3direct
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIappnope0.1.4indirect
PyPIasttokens3.0.1indirect
PyPIattrs25.4.0indirect
PyPIazure-switchboard2026.8.1indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbumpver2025.1131indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.13.3indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.20indirect
PyPIdecorator5.2.1indirect
PyPIdistlib0.4.0indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfilelock3.20.3indirect
PyPIfonttools4.61.1indirect
PyPIgoogleapis-common-protos1.72.0indirect
PyPIgrpcio1.78.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.16indirect
PyPIidna3.11indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.2.0indirect
PyPIipython8.38.0indirect
PyPIipython9.10.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPIjiter0.13.0indirect
PyPIjupyter-client8.8.0indirect
PyPIjupyter-core5.9.1indirect
PyPIkiwisolver1.4.9indirect
PyPIlexid2021.1006indirect
PyPImarkdown-it-py4.0.0indirect
PyPImatplotlib3.10.8indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPInest-asyncio1.6.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.2indirect
PyPIopentelemetry-distro0.60b1indirect
PyPIopentelemetry-exporter-otlp1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-common1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-grpc1.39.1indirect
PyPIopentelemetry-exporter-otlp-proto-http1.39.1indirect
PyPIopentelemetry-instrumentation0.60b1indirect
PyPIopentelemetry-instrumentation-httpx0.60b1indirect
PyPIopentelemetry-instrumentation-logging0.60b1indirect
PyPIopentelemetry-instrumentation-openai-v22.3b0indirect
PyPIopentelemetry-proto1.39.1indirect
PyPIopentelemetry-sdk1.39.1indirect
PyPIopentelemetry-semantic-conventions0.60b1indirect
PyPIopentelemetry-util-http0.60b1indirect
PyPIpackaging26.0indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.0indirect
PyPIparso0.8.5indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.1.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIprompt-toolkit3.0.52indirect
PyPIprotobuf6.33.5indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpyparsing3.3.2indirect
PyPIpyright1.1.411indirect
PyPIpytest9.0.2indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-rich0.2.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2025.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIrequests2.32.5indirect
PyPIrespx0.22.0indirect
PyPIrich14.3.2indirect
PyPIruff0.15.0indirect
PyPIseaborn0.13.2indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIstack-data0.6.3indirect
PyPItoml0.10.2indirect
PyPItomli2.4.0indirect
PyPItornado6.5.4indirect
PyPItqdm4.67.3indirect
PyPItraitlets5.14.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIurllib32.6.3indirect
PyPIvirtualenv20.36.1indirect
PyPIwcwidth0.6.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:azure-switchboard@2026.8.2 pulls in 19 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

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.

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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.