Public record
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 12:43 UTC

JuliaArrays / ArrayInterface.jl

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

JuliaMIT★ 139 stars⑂ 42 forkssince Oct 2018View on GitHub ↗

JuliaArrays/ArrayInterface.jl holds a health index of 64 out of 100, placing it in the Moderate band. It scores highest on Vitality (81/100) and lowest on AI Readiness (17/100). It was last updated 3 days ago. 2 contributors account for most of its recent work.

64
overall / 100
Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

64
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

JuliaArraysOrganization
90 followers50 public repossince Aug 2016

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

Metrics by category

Vitality

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

81Good · 22% of overall
How it's scored
36/36Push recency — last push 3 days ago
14.5/36Commit cadence — 21/52 weeks with commits
16.2/18Commit volume — 62 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year62
human_commit_share
days_since_last_push3
active_weeks_last_year21
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 19 days ago
19.8/27Release cadence — a release every ~46.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv7.27.0
releases_from_tagsno
days_since_latest_release19
mean_days_between_releases46.3

Community & Adoption

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

52Moderate · 18% of overall
How it's scored
34.7/60Stars — 139 stars
13.4/25Forks — 42 forks
5.6/15Watchers — 11 watchers
Inputs used
forks42
stars139
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

68Moderate · 24% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.3/22.5Commit distribution — top contributor authored 41% of commits
13.5/13.5Contributor breadth — 48 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled48
top_contributor_share0.408
How it's scored
33.3/46.8Issue resolution — 71% of issues closed
33.5/38.3PR acceptance — 333/380 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs333
open_issues29
closed_issues72
issue_closed_ratio0.713
closed_unmerged_prs47
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.1/25Owner reach — 90 followers of JuliaArrays
24.4/25Track record — 50 public repos, account ~9 yr old
Inputs used
followers90
owner_typeOrganization
is_verified
owner_loginJuliaArrays
public_repos50
account_age_days3,608

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 20% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docs.sciml.ai/ArrayInterface/stable/
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsarrays, base, composibility, interface, primitives, sciml, scientific-machine-learning
has_wikiyes
homepagehttps://docs.sciml.ai/ArrayInterface/stable/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

33At risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles — no dependency manifests — not applicable
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifests
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

17Critical · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
0/45Type-checkable code — Julia without a type-check config
0/55Manageable file sizes — no source files detected
Inputs used
primary_languageJulia
largest_source_bytes
source_files_sampled0
oversized_source_files0
Excluded from scoring (no data or not applicable): Manageable file sizes. Remaining weights renormalized.

Key facts

139GitHub stars
48contributors
62commits, last 12 months
3days since last push
100releases
2bus factor
29open issues
package ecosystems

Data collection warnings

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

All dependencies 0

Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Raw JSON report machine-readable
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                "name": "Bus factor",
                "detail": "2 contributor(s) cover half of all commits",
                "points": 25.2,
                "status": "partial",
                "details": [
                  {
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                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 41% of commits",
                "points": 13.3,
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                "max_points": 22.5
              },
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                "key": "contributor_breadth",
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                "status": "met",
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                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
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          {
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                "key": "issue_resolution",
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                "max_points": 46.75
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                "max_points": 38.25
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              {
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              "account_age_days": 3608
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            "components": [
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                "key": "verified_domain",
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                "status": "missed",
                "details": [],
                "max_points": 20
              },
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                "key": "owner_reach",
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                "max_points": 25
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              {
                "key": "track_record",
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      {
        "key": "engineering",
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              },
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              },
              {
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              },
              {
                "key": "openssf_scorecard_ci_tests",
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          {
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            "notes": [],
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            "components": [
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                "points": 30,
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                "max_points": 30
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                "details": [],
                "max_points": 25
              },
              {
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                "points": 10,
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                "max_points": 10
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              {
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                "status": "met",
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                ],
                "max_points": 10
              },
              {
                "key": "wiki",
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                "points": 10,
                "status": "met",
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          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "at_risk",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
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            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
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              {
                "code": "weights_renormalized",
                "params": {}
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              "manifests": [],
              "has_codeql_workflow": false,
              "has_security_policy": false,
              "has_dependabot_config": true
            },
            "components": [
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                "name": "Security policy (SECURITY.md)",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
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                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": "no dependency manifests — not applicable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_dependency_manifests",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 7
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            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
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                "details": [
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                    "code": "jurisdiction_no_match",
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                "max_points": 100
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          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
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        "band": "critical",
        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
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                }
              },
              {
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              "agent_instruction_max_bytes": null
            },
            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
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              {
                "key": "legible_commit_history",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
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            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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            "inputs": {
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              },
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              },
              {
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                "points": 0,
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              },
              {
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                "points": 0,
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              },
              {
                "key": "reproducible_environment",
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              },
              {
                "key": "demonstrated_agent_practice",
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                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 10
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              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
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                "detail": "OpenSSF Scorecard unavailable",
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                "max_points": 10
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          },
          {
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            "name": "Code legibility for models",
            "note": "Excluded from scoring (no data or not applicable): Manageable file sizes. Remaining weights renormalized.",
            "notes": [
              {
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                "params": {
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            "value": 1,
            "inputs": {
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            },
            "components": [
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                "points": 0,
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                "details": [
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                "max_points": 45
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              {
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
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    "metrics_version": "1.13.0"
  },
  "warnings": [
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
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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 v1.13.0, schema v0.11.0 — full methodology · metrics wiki.

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