Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 23:56 UTC

aurelio-labs / semantic-router

Superfast AI decision making and intelligent processing of multi-modal data.

PythonMIT★ 3,800 stars⑂ 360 forkssince Oct 2023View on GitHub ↗
KindLibraryPluginNetwork servicehow this is determined

aurelio-labs/semantic-router holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Security (55/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

Aurelio AI LabsOrganization
294 followers33 public repossince Aug 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsemantic-router0.1.16-9817 days ago

Metrics by category

Vitality

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

80Excellent · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
9/36Commit cadence13/52 weeks with commits
16.5/18Commit volume68 commits in the last year
10/10OpenSSF Scorecard: Maintained23 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year68
human_commit_share1
days_since_last_push2
active_weeks_last_year13
How it's scored
27/27Ships releases95 releases published
36/36Release recencylatest release 17 days ago
19.8/27Release cadencea release every ~53.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count95
latest_release_tagv0.1.16
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases53.3
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?

80Excellent · 17% of overall
How it's scored
58.1/60Stars3,800 stars
21.3/25Forks360 forks
8.1/15Watchers30 watchers
Inputs used
forks360
stars3,800
watchers30
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

73Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.7/22.5Commit distributiontop contributor authored 61% of commits
13.5/13.5Contributor breadth54 contributors
10/10OpenSSF Scorecard: Contributorsproject has 15 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled54
top_contributor_share0.613
How it's scored
27.3/42Issue resolution65% of issues closed
26.4/30PR acceptance363/413 decided PRs merged
10.8/13Newcomer PR acceptance5/6 first-time contributors' PRs merged in 30d
9/15OpenSSF Scorecard: Code-ReviewFound 7/11 approved changesets -- score normalized to 6
Inputs used
merged_prs363
open_issues82
closed_issues153
prs_merged_7d2
prs_decided_7d2
prs_merged_30d6
prs_decided_30d7
issue_closed_ratio0.651
closed_unmerged_prs50
first_time_authors_30d6
first_time_prs_merged_30d5
first_time_prs_decided_30d6
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
17.8/25Owner reach294 followers of aurelio-labs
23.2/25Track record33 public repos, account ~6 yr old
Inputs used
followers294
owner_typeOrganization
is_verified
owner_loginaurelio-labs
public_repos33
account_age_days2,202
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 17 days ago
20/20Version history98 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessemantic-router
ecosystemspypi
any_deprecatedno
min_days_since_publish17

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows9 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests11 out of 11 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 sitehttps://www.aurelio.ai/semantic-router
10/10Repository description
10/10Topics7 topics
10/10Wiki
Inputs used
topicsai, artificial-intelligence, chatbot, computer-vision, generative-ai, machine-learning, nlp
has_wikiyes
homepagehttps://www.aurelio.ai/semantic-router
docs_sitehttps://www.aurelio.ai/semantic-router
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

55Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-ReviewFound 7/11 approved changesets -- score normalized to 6
2.5/2.5Contributorsproject has 15 contributing companies or organizations
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
7.5/7.5Maintained23 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
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-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities77 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.4
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages56
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:semantic-router@0.1.16 runtime dependency closure — what installing the published package pulls in — 56 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.

72Good · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
32/40Legible commit history60 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.6
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes4,307
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingsemantic_router/py.typed
10/10Reproducible environmentDockerfile, lockfile
6/10Demonstrated agent practice3 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_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssemantic_router/py.typed
agent_commit_share0.03
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (semantic_router/py.typed)
53.8/55Manageable file sizes2/91 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes74,174
source_files_sampled91
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

3,800GitHub stars
54contributors
68commits, last 12 months
2days since last push
95releases
1bus factor
82open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'semantic-router-ci' from its registry

More detail

Star and fork history 0 ★ / 360 ⇿
0Stars
360Forks
92Releases

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.

0125250375356172023-112025-032026-08
Major 0Minor 1Patch 80

Each point covers 3 days.

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-08-12 23:55 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-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 7/11 approved changesets -- score normalized to 6
10Contributorsproject has 15 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained23 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities77 existing vulnerabilities detected
Direct dependencies 16
RegistryPackageVersion constraintManifest
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PyPIopenai>=1.10.0,<3.0.0pyproject.toml
All dependencies 311

Full resolved dependency set from the GitHub dependency graph: 27 direct and 284 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIscipy1.13.1indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.0indirect
PyPIsemantic-router0.1.16indirect
PyPIsentence-transformers5.1.2indirect
PyPIsentence-transformers5.7.0indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer2.2.0indirect
PyPIstack-data0.6.3indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.2indirect
PyPItenacity9.1.4indirect
PyPIthreadpoolctl3.6.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItorch2.13.0indirect
PyPItorch2.13.0+cpuindirect
PyPItorch2.8.0indirect
PyPItorch2.8.0+cpuindirect
PyPItorchvision0.23.0indirect
PyPItorchvision0.23.0+cpuindirect
PyPItorchvision0.28.0indirect
PyPItorchvision0.28.0+cpuindirect
PyPItqdm4.70.0indirect
PyPItraitlets5.15.1indirect
PyPItraitlets5.16.1indirect
PyPItransformers4.57.6indirect
PyPItypeapi2.3.0indirect
PyPItypes-pyyaml6.0.12.20250915indirect
PyPItypes-pyyaml6.0.12.20260724indirect
PyPItypes-requests2.31.0.6indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.3indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets15.0.1indirect
PyPIwebsockets16.1.1indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.3.0indirect
PyPIyapf0.43.0indirect
PyPIyarl1.22.0indirect
PyPIyarl1.24.5indirect
PyPIzipp3.23.1indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:semantic-router@0.1.16 pulls in 56 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.

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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 v0.31.0 — full methodology · metrics wiki.

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