Public record
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-30 11:17 UTC

aplbrain / npyjs

Read numpy .npy files in JavaScript

TypeScript · JavaScriptApache-2.0★ 99 stars⑂ 24 forkssince Sep 2016View on GitHub ↗
KindLibraryhow this is determined
#npy#npy-files#javascript#numpy#nodejs#jhuapl#3d

aplbrain/npyjs holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (81/100) and lowest on AI Readiness (53/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

APL BRAINOrganization
33 followers121 public repossince Dec 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npmnpyjs1.2.0121,989148 days agonumpynpyjavascripttypescriptbrowsernodetensor

Metrics by category

Vitality

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

77Good · 21% of overall

Development activity

73Good
How it's scored
36/36Push recency — last push 1 days ago
11.8/36Commit cadence — 17/52 weeks with commits
15.6/18Commit volume — 53 commits in the last year
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year53
human_commit_share0.77
days_since_last_push1
active_weeks_last_year17

Release discipline

84Excellent
How it's scored
27/27Ships releases — 10 releases published
36/36Release recency — latest release 8 days ago
12.6/27Release cadence — a release every ~207.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count10
latest_release_tagv1.2.0
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases207.3
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?

58Moderate · 17% of overall

Popularity & adoption

48Weak
How it's scored
32.3/60Stars — 99 stars
11.3/25Forks — 24 forks
4.3/15Watchers — 7 watchers
Inputs used
forks24
stars99
watchers7
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 (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

85Excellent
How it's scored
67.8/80Monthly downloads — 121,989 downloads/month across npm
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesnpyjs
dependents—
ecosystemsnpm
total_downloads—
monthly_downloads121,989
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

36Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.3/22.5Commit distribution — top contributor authored 85% of commits
13.5/13.5Contributor breadth — 14 contributors
10/10OpenSSF Scorecard: Contributors — project has 15 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled14
top_contributor_share0.852

Issue & PR responsiveness

76Good
How it's scored
36.8/42Issue resolution — 88% of issues closed
26.5/30PR acceptance — 46/52 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 2/9 approved changesets -- score normalized to 2
Inputs used
merged_prs46
open_issues3
closed_issues21
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.875
closed_unmerged_prs6
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.

Ownership & stewardship

66Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
11/25Owner reach — 33 followers of aplbrain
25/25Track record — 121 public repos, account ~8 yr old
Inputs used
followers33
owner_typeOrganization
is_verified—
owner_loginaplbrain
public_repos121
account_age_days3,159

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on npm
35/35Publish recency — latest publish 8 days ago
20/20Version history — 14 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesnpyjs
ecosystemsnpm
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://aplbrain.github.io/npyjs/
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsnpy, npy-files, javascript, numpy, nodejs, jhuapl, 3d
has_wikiyes
homepagehttps://aplbrain.github.io/npyjs/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall

Security posture

53Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 12 out of 12 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 2/9 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 15 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 15 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): packaging, signed_releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages5
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 npm:npyjs@1.2.0 runtime dependency closure — what installing the published package pulls in — 5 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.

53Moderate · 4% of overall

Agent context & guidance

28At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
27.7/40Legible commit history — 40 of 77 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.519
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

54Moderate
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
8/8Automated maintenance — 23 of the last 100 commits are automated dependency updates
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configstsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.23

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — TypeScript (statically typed)
55/55Manageable file sizes — 0/9 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes14,190
source_files_sampled9
oversized_source_files0

Key facts

99GitHub stars
14contributors
53commits, last 12 months
1days since last push
10releases
1bus factor
3open issues
npmpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 24 ⇿
0Stars
24Forks
8Releases

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.

048121620242422018-082022-052026-02
Major 1Minor 1Patch 6

Each point covers 7 days.

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-07-30 11:17 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests12 out of 12 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 2/9 approved changesets -- score normalized to 2
10Contributorsproject has 15 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
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
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
npmcross-fetch^4.1.0package.json
All dependencies 204

Full resolved dependency set from the GitHub dependency graph: 1 direct and 203 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 0

Installing npm:npyjs@1.2.0 pulls in 5 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.

Raw JSON report machine-readable

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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 v2.5.0, schema v0.27.0 — full methodology · metrics wiki.

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