Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-05 23:42 UTC

archesproject / arches-component-lab

A sandbox for designing, building, and testing component and component-based interactions for the Arches platform.

Vue · TypeScript · PythonAGPL-3.0★ 0 stars⑂ 3 forkssince Feb 2025archivedView on GitHub ↗

archesproject/arches-component-lab holds a health index of 19 out of 100, placing it in the Critical band. It scores highest on Engineering Quality (75/100) and lowest on Community & Adoption (35/100). The repository is archived, so no further maintenance is expected.

19
overall / 100
Critical

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.

19
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

archesOrganization
46 followers71 public repossince Jun 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIarches-component-lab0.1.03,1731653 days ago

Metrics by category

Vitality

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

68Good · 21% of overall
How it's scored
18/36Push recencylast push 53 days ago
22.2/36Commit cadence32/52 weeks with commits
18/18Commit volume138 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject is archived
Inputs used
commits_last_year138
human_commit_share0.89
days_since_last_push53
active_weeks_last_year32
How it's scored
27/27Ships releases3 releases published
36/36Release recencylatest release 53 days ago
12.6/27Release cadencea release every ~175.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count3
latest_release_tag0.1.0
releases_from_tagsno
days_since_latest_release53
mean_days_between_releases175.5
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?

35Weak · 17% of overall
How it's scored
0/60Stars0 stars
2.5/25Forks3 forks
5/15Watchers9 watchers
Inputs used
forks3
stars0
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (AGPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
46.7/80Monthly downloads3,173 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesarches-component-lab
dependents
ecosystemspypi
total_downloads
monthly_downloads3,173
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?

73Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
11.5/22.5Commit distributiontop contributor authored 49% of commits
13.5/13.5Contributor breadth10 contributors
10/10OpenSSF Scorecard: Contributorsproject has 10 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled10
top_contributor_share0.49
How it's scored
26.3/42Issue resolution63% of issues closed
25.2/30PR acceptance159/189 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 17/20 approved changesets -- score normalized to 8
Inputs used
merged_prs159
open_issues40
closed_issues67
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.626
closed_unmerged_prs30
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 domain
12/25Owner reach46 followers of archesproject
25/25Track record71 public repos, account ~14 yr old
Inputs used
followers46
owner_typeOrganization
is_verifiedno
owner_loginarchesproject
public_repos71
account_age_days5,195

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 53 days ago
20/20Version history16 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesarches-component-lab
ecosystemspypi
any_deprecatedno
min_days_since_publish53

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configeslint.config.mjs
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests11 out of 25 merged PRs checked by a CI test -- score normalized to 4
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://arches.readthedocs.io
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_sitehttps://arches.readthedocs.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

41Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
1/2.5CI-Tests11 out of 25 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6/7.5Code-ReviewFound 17/20 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 10 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
0/7.5Maintainedproject is archived
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
0/7.5Vulnerabilities35 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3.2
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
10/25Indirect dependencies free of known advisories1 affected: urllib3 1.26.20 (high 7.5)
33.7/40No advisories left outstanding1 advisory-carrying package(s) unaddressed past 90 days; oldest published 444 days ago
Inputs used
sourceosv
advisories10
affected_packages1
assessed_packages71
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Matched the pypi:arches-component-lab@0.1.0 runtime dependency closure — what installing the published package pulls in — 71 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.

54Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history74 of 89 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.831
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configeslint.config.mjs
11/11Static type checkingtsconfig.json
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
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
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configstsconfig.json
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codeVue with type-check config (tsconfig.json)
55/55Manageable file sizes0/140 source files over 60KB
Inputs used
primary_languageVue
largest_source_bytes27,400
source_files_sampled140
oversized_source_files0

Key facts

0GitHub stars
10contributors
138commits, last 12 months
53days since last push
3releases
2bus factor
40open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch npm package 'arches_component_lab' from its registry
  • pypi download statistics for 'arches-component-lab' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for arches-component-lab carried forward from the previous scan (stats endpoint unavailable this scan)
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks
2Releases

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.

12233312025-052025-082025-12
Major 0Minor 0Patch 0
OpenSSF Scorecard 3.2 / 10
3.2aggregate

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 · 2026-09-05 23:41 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
4CI-Tests11 out of 25 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 17/20 approved changesets -- score normalized to 8
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
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
0Vulnerabilities35 existing vulnerabilities detected
Direct dependencies 14
RegistryPackageVersion constraintManifest
npm@mapbox/geojson-extent^1.0.1package.json
npm@mapbox/mapbox-gl-draw^1.4.3package.json
npm@types/geojson^7946.0.16package.json
npm@primeuix/themes1.0.1package.json
npm@primevue/forms4.3.9package.json
npmarchesarchesproject/arches#dev/8.0.xpackage.json
npmdayjs^1.11.13package.json
npmdompurify^3.2.6package.json
npmes-toolkit^1.44.0package.json
npmmaplibre-gl^4.7.1package.json
npmpinia^3.0.4package.json
npmquill2.0.3package.json
PyPIarches>=7.6.9pyproject.toml
PyPIarches-querysets<2.0.0,>=1.1.0a0pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 1

Installing pypi:arches-component-lab@0.1.0 pulls in 71 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
urllib31.26.20indirecthigh102.7.0

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 v0.34.0 — full methodology · metrics wiki.

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