Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 00:57 UTC

nfdi4plants / ARCtrl

Polyglot (.NET/JS/Python) library for management of Annotated Research Contexts (ARCs) using an in-memory representation and runtime-agnostic contract systems.

F#MIT★ 21 stars⑂ 12 forkssince Jan 2021View on GitHub ↗
KindLibraryhow this is determined
#fair-data#fsharp#isa#rdm#arc#fable-libraries#cwl#ro-crate

nfdi4plants/ARCtrl holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on AI Readiness (42/100). It was last updated 22 days ago. A single contributor accounts for most of its recent work.

75
overall / 100
Good

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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

DataPLANTOrganization
72 followers95 public repossince May 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npm@nfdi4plants/arctrl3.2.14027822 days ago—
PyPIarctrl3.2.11,5135722 days agoarcannotated-research-contextisaresearch-datamulti-platform

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

82Excellent
How it's scored
28.8/36Push recency — last push 22 days ago
24.9/36Commit cadence — 36/52 weeks with commits
18/18Commit volume — 341 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year341
human_commit_share1
days_since_last_push22
active_weeks_last_year36

Release discipline

78Good
How it's scored
27/27Ships releases — 78 releases published
16.2/36Release recency — latest release 197 days ago
27/27Release cadence — a release every ~13.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count78
latest_release_tag3.0.1
releases_from_tagsno
days_since_latest_release197
mean_days_between_releases13.6
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?

44Weak · 17% of overall

Popularity & adoption

32At Risk
How it's scored
21.1/60Stars — 21 stars
8.7/25Forks — 12 forks
2.7/15Watchers — 4 watchers
Inputs used
forks12
stars21
watchers4
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_badges7
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

55Moderate
How it's scored
43.8/80Monthly downloads — 1,915 downloads/month across npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packages@nfdi4plants/arctrl, arctrl
dependents—
ecosystemsnpm, pypi
total_downloads—
monthly_downloads1,915
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?

68Good · 23% of overall

Maintainer resilience (bus factor)

42Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
9.1/22.5Commit distribution — top contributor authored 59% of commits
13.5/13.5Contributor breadth — 16 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled16
top_contributor_share0.594

Issue & PR responsiveness

75Good
How it's scored
34.1/42Issue resolution — 81% of issues closed
28.4/30PR acceptance — 246/260 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 2/8 approved changesets -- score normalized to 2
Inputs used
merged_prs246
open_issues70
closed_issues301
prs_merged_7d0
prs_decided_7d0
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio0.811
closed_unmerged_prs14
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

68Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.4/25Owner reach — 72 followers of nfdi4plants
25/25Track record — 95 public repos, account ~6 yr old
Inputs used
followers72
owner_typeOrganization
is_verifiedno
owner_loginnfdi4plants
public_repos95
account_age_days2,302

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on npm, pypi
35/35Publish recency — latest publish 22 days ago
20/20Version history — 78 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packages@nfdi4plants/arctrl, arctrl
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish22

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

74Good
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://nfdi4plants.github.io/nfdi4plants.knowledgebase/arctrl/
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsfair-data, fsharp, isa, rdm, arc, fable-libraries, cwl, ro-crate
has_wikiyes
homepagehttps://nfdi4plants.github.io/nfdi4plants.knowledgebase/arctrl/
docs_sitehttps://nfdi4plants.github.io/nfdi4plants.knowledgebase/arctrl/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48Weak · 16% of overall

Security posture

40Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 2/8 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 8 contributing companies or organizations
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
7.5/7.5Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 56 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

79Good
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
10/25Indirect dependencies free of known advisories — 1 affected: uuid 8.3.2 (high 7.5)
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 143 days ago
Inputs used
sourceosv
advisories1
affected_packages1
assessed_packages91
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Matched the npm:@nfdi4plants/arctrl@3.2.1 runtime dependency closure — what installing the published package pulls in — 91 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.

42Weak · 4% of overall

Agent context & guidance

12Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
12.3/40Legible commit history — 23 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.23
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

43Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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
lockfilespackage-lock.json, packages.lock.json, poetry.lock, uv.lock
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configstsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — F# (statically typed)
55/55Manageable file sizes — 0/44 source files over 60KB
Inputs used
primary_languageF#
largest_source_bytes7,763
source_files_sampled44
oversized_source_files0

Key facts

21GitHub stars
16contributors
341commits, last 12 months
22days since last push
78releases
1bus factor
70open issues
npm, PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 12 ⇿
0Stars
12Forks
78Releases

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.

0246810121222022-092024-072026-05
Major 3Minor 6Patch 15

Each point covers 4 days.

OpenSSF Scorecard 4.0 / 10
4.0aggregate

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 · 2026-09-13 00:57 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-Tests6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 2/8 approved changesets -- score normalized to 2
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 13 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
0Vulnerabilities56 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
npm@fable-org/fable-library-js^2.5.1package.json
npm@fable-org/fable-library-ts^2.5.1package.json
npm@nfdi4plants/exceljs^0.3.0package.json
npmisomorphic-fetch^3.0.0package.json
PyPIrequests>= 2.28.1, <3.0.0pyproject.toml
PyPIopenpyxl>=3.1.5,<4pyproject.toml
PyPIfable-library==5.13.0pyproject.toml
All dependencies 366

Full resolved dependency set from the GitHub dependency graph: 8 direct and 358 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npm@fable-org/fable-library-ts2.5.1direct
npm@nfdi4plants/exceljs0.3.0direct
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PyPIfable-library5.13.0direct
PyPIopenpyxl3.1.5direct
PyPIrequests2.33.1direct
PyPIrequests2.34.2direct
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npmtinyexec0.3.2indirect
npmtinyglobby0.2.14indirect
npmtinypool1.0.2indirect
npmtinyrainbow2.0.0indirect
npmtinyspy3.0.2indirect
npmtmp0.2.1indirect
npmtmp0.2.3indirect
npmtr460.0.3indirect
npmtraverse0.3.9indirect
npmtypescript5.8.2indirect
npmtypescript5.8.3indirect
npmufo1.6.1indirect
npmuniversalify2.0.1indirect
npmunzipper0.10.14indirect
npmuri-js4.4.1indirect
npmutil-deprecate1.0.2indirect
npmuuid8.3.2indirect
npmvite6.3.5indirect
npmvite7.0.6indirect
npmvite-node3.1.3indirect
npmvite-plugin-dts4.5.4indirect
npmvitest3.1.3indirect
npmvscode-uri3.1.0indirect
npmwebidl-conversions3.0.1indirect
npmwhatwg-fetch3.6.19indirect
npmwhatwg-fetch3.6.20indirect
npmwhatwg-url5.0.0indirect
npmwhy-is-node-running2.3.0indirect
npmwrappy1.0.2indirect
npmxmlchars2.2.0indirect
npmyallist4.0.0indirect
npmzip-stream4.1.1indirect
NuGetBlackFox.Fake.BuildTask—indirect
NuGetCyjs.NET0.0.4indirect
NuGetDynamicObj—indirect
NuGetExpecto—indirect
NuGetFable.Core—indirect
NuGetFable.Core4.0.0indirect
NuGetFable.Fetch—indirect
NuGetFable.Mocha2.16.0indirect
NuGetFable.Node—indirect
NuGetFable.Promise—indirect
NuGetFable.Python—indirect
NuGetFable.Pyxpecto—indirect
NuGetFable.SimpleHttp—indirect
NuGetFake.Api.GitHub—indirect
NuGetFake.Core.Process—indirect
NuGetFake.Core.ReleaseNotes—indirect
NuGetFake.Core.Target—indirect
NuGetFake.DotNet.Cli—indirect
NuGetFake.DotNet.MSBuild—indirect
NuGetFake.Extensions.Release—indirect
NuGetFake.IO.FileSystem—indirect
NuGetFake.JavaScript.Npm—indirect
NuGetFake.Tools.Git—indirect
NuGetFsSpreadsheet—indirect
NuGetFsSpreadsheet0.3.0indirect
NuGetFsSpreadsheet.ExcelIO0.3.0indirect
NuGetFsSpreadsheet.Js—indirect
NuGetFsSpreadsheet.Net—indirect
NuGetFsSpreadsheet.Py—indirect
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NuGetMicrosoft.NET.Test.Sdk17.4.0indirect
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NuGetNJsonSchema—indirect
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NuGetSiren—indirect
NuGetSwate.Api0.2.0indirect
NuGetThoth.Json10.1.0indirect
NuGetThoth.Json.Core—indirect
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NuGetThoth.Json.Net11.0.0indirect
NuGetThoth.Json.Newtonsoft—indirect
NuGetThoth.Json.Python—indirect
NuGetYAMLicious—indirect
NuGetYoloDev.Expecto.TestSdk—indirect
PyPIarctrl2.0.0a2indirect
PyPIarctrl3.2.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIcertifi2026.4.22indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
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Dependency advisories 1

Installing npm:@nfdi4plants/arctrl@3.2.1 pulls in 91 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
uuid8.3.2indirecthigh113.0.1

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

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How one result sits in the wider record: aggregate statistics — npm, PyPI.