Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-18 06:33 UTC

arini-ai / azure-switchboard

Intelligent, coordination-free loadbalancing client for Azure OpenAI

Python · ShellMIT★ 2 stars⑂ 1 forksince Feb 2025View on GitHub ↗

arini-ai/azure-switchboard holds a health index of 57 out of 100, placing it in the Moderate band. It scores highest on AI Readiness (80/100) and lowest on Community & Adoption (35/100). It was last updated today. A single contributor accounts for most of its recent work.

57
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.

57
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 55 is calibrated to 57 on the published index scale (record calibration 2026-08-02).

Ownership

Arini AIOrganization
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-switchboard2026.8.012,882260 days agoaianthropicazureclaudellmloadbalancingopenai

Metrics by category

Vitality

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

69Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
4.8/36Commit cadence7/52 weeks with commits
13.1/18Commit volume28 commits in the last year
1/10OpenSSF Scorecard: Maintained2 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 1
Inputs used
commits_last_year28
human_commit_share0.79
days_since_last_push0
active_weeks_last_year7
How it's scored
27/27Ships releases30 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~21.3 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count30
latest_release_tag2026.8.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases21.3

Community & Adoption

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

35Weak · 17% of overall
How it's scored
0/60Stars2 stars
0/25Forks1 forks
0/15Watchers2 watchers
Inputs used
forks1
stars2
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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
How it's scored
54.8/80Monthly downloads12,882 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesazure-switchboard
dependents
ecosystemspypi
total_downloads
monthly_downloads12,882
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?

49Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
2.2/22.5Commit distributiontop contributor authored 90% of commits
2.7/13.5Contributor breadth2 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.904
How it's scored
8.4/42Issue resolution20% of issues closed
28.5/30PR acceptance56/59 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/25 approved changesets -- score normalized to 0
Inputs used
merged_prs56
open_issues4
closed_issues1
prs_merged_7d1
prs_decided_7d1
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.2
closed_unmerged_prs3
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
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
2.2/25Owner reach1 followers of arini-ai
5.6/25Track record1 public repos, account ~1 yr old
Inputs used
followers1
owner_typeOrganization
is_verified
owner_loginarini-ai
public_repos1
account_age_days623
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history26 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesazure-switchboard
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests11 out of 12 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
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?

42Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.2/2.5CI-Tests11 out of 12 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 1/25 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0.8/7.5Maintained2 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 1
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities32 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate2.8
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 advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories63
affected_packages8
assessed_packages124
unassessed_packages0
affected_by_severitycritical 1, high 3, moderate 3, low 1
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 124 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.

80Excellent · 4% of overall
How it's scored
45/45Agent instructions.cursor/rules/clean-code.mdc, .cursor/rules/switchboard.mdc, .cursor/rules/test_options.mdc, CLAUDE.md
0/15Machine-readable docs (llms.txt)
31.1/40Legible commit history46 of 79 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.582
agent_instruction_files.cursor/rules/clean-code.mdc, .cursor/rules/switchboard.mdc, .cursor/rules/test_options.mdc, CLAUDE.md
agent_instruction_max_bytes3,358
How it's scored
18/18One-command bootstrapjustfile
22/22Automated tests
11/11Lint / format configruff.toml
11/11Static type checkingsrc/azure_switchboard/py.typed
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice6 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency 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
How it's scored
27/45Type-checkable codePython with type-check config (src/azure_switchboard/py.typed)
55/55Manageable file sizes0/17 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes24,841
source_files_sampled17
oversized_source_files0

Key facts

2GitHub stars
2contributors
28commits, last 12 months
0days since last push
30releases
1bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:azure-switchboard@2026.8.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 2.8 / 10
2.8aggregate

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 · 2026-08-18 06:32 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests11 out of 12 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 1/25 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
1Maintained2 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 1
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
0Vulnerabilities32 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIanthropic>=0.122.0pyproject.toml
PyPIloguru>=0.7.3pyproject.toml
PyPIopenai>=2.0.0pyproject.toml
PyPIopentelemetry-api>=1.30.0pyproject.toml
PyPItenacity>=9.0.0pyproject.toml
PyPIwrapt>=1.17.2pyproject.toml
All dependencies 124

Full resolved dependency set from the GitHub dependency graph: 6 direct and 118 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanthropic0.122.0direct
PyPIloguru0.7.3direct
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-switchboard2026.4.0indirect
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
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
PyPIwin32-setctime1.2.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 8

This repository publishes no package the index resolves, so its own dependency graph was assessed — 124 packages, which also include development and test pins that never ship: 8 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow12.1.0indirectcritical3812.3.0
click8.3.1indirecthigh18.3.3
tornado6.5.4indirecthigh126.5.7
urllib32.6.3indirecthigh42.7.0
idna3.11indirectmoderate23.15
pytest9.0.2indirectmoderate29.0.3
requests2.32.5indirectmoderate22.33.0
pygments2.19.2indirectlow22.20.0

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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.