Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 18:53 UTC

vmware-archive / vsphere-automation-sdk-java

Java samples, language bindings, and API reference documentation for vSphere, VMC, and NSX-T using the VMware REST API

MIT★ 221 stars⑂ 134 forkssince May 2016archivedView on GitHub ↗

vmware-archive/vsphere-automation-sdk-java holds a health index of 19 out of 100, placing it in the Critical band. It scores highest on Community & Adoption (78/100) and lowest on Vitality (18/100). 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 50 is calibrated to 50 on the published index scale (record calibration 2026-08-02).

Ownership

VMware ArchiveOrganization · verified domain
198 followers2,091 public repossince Dec 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?

18Critical · 21% of overall
How it's scored
0/36Push recency — last push 438 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — project is archived
Inputs used
commits_last_year0
human_commit_share0.99
days_since_last_push438
active_weeks_last_year0
How it's scored
27/27Ships releases — 23 releases published
0/36Release recency — latest release 786 days ago
12.6/27Release cadence — a release every ~124.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count23
latest_release_tagv8.0.3.0
releases_from_tagsno
days_since_latest_release786
mean_days_between_releases124.6
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?

78Good · 17% of overall
How it's scored
38/60Stars — 221 stars
17.7/25Forks — 134 forks
7.9/15Watchers — 27 watchers
Inputs used
forks134
stars221
watchers27
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

93Exceptional
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

78Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.7/22.5Commit distribution — top contributor authored 39% of commits
13.5/13.5Contributor breadth — 18 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled18
top_contributor_share0.393
How it's scored
37/42Issue resolution — 88% of issues closed
23.2/30PR acceptance — 123/159 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
12/15OpenSSF Scorecard: Code-Review — Found 12/15 approved changesets -- score normalized to 8
Inputs used
merged_prs123
open_issues8
closed_issues59
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.881
closed_unmerged_prs36
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 backing — organization-owned
20/20Verified domain
16.5/25Owner reach — 198 followers of vmware-archive
25/25Track record — 2,091 public repos, account ~9 yr old
Inputs used
followers198
owner_typeOrganization
is_verifiedyes
owner_loginvmware-archive
public_repos2,091
account_age_days3,562

Engineering Quality

Are baseline engineering and documentation practices in place?

31At Risk · 19% of overall
How it's scored
0/24CI workflows
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 15 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://vmware-archive.github.io/vsphere-automation-sdk-java/
10/10Repository description
10/10Topics — 7 topics
10/10Wiki
Inputs used
topicsjava, api-client, bindings, restful-api, vmware-vsphere, samples, documentation
has_wikiyes
homepagehttps://vmware-archive.github.io/vsphere-automation-sdk-java/
docs_sitehttps://vmware-archive.github.io/vsphere-automation-sdk-java/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

52Moderate · 16% of overall
How it's scored
1.5/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 0 out of 15 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 12/15 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
0/10Dangerous-Workflow — no data
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project is archived
0/5Packaging — no data
0/5Pinned-Dependencies — no data
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): Branch-Protection, Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.

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.

21At Risk · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
19.4/40Legible commit history — 36 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.364
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
12.6/18One-command bootstrap — pom.xml (toolchain convention, no task runner)
0/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsno
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifestspom.xml
dependency_bot_commit_share0.01
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Key facts

221GitHub stars
18contributors
0commits, last 12 months
438days since last push
23releases
2bus factor
8open issues
Mavenpackage ecosystems

Data collection warnings

  • Language breakdown unavailable
  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch maven package 'com.vmware:vsphere-samples-nodeps' from its registry

More detail

Star and fork history 0 ★ / 134 ⇿
0Stars
134Forks
23Releases

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.

025507510012515013342017-042021-122026-08
Major 0Minor 2Patch 5

Each point covers 9 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-09-13 18:53 UTC

2Binary-Artifactsbinaries present in source code
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
0CI-Tests0 out of 15 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 12/15 approved changesets -- score normalized to 8
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
Mavencom.vmware.vapi:vapi-runtime${vapi.version}pom.xml
Mavencom.vmware.vapi:vapi-authentication${vapi.version}pom.xml
Mavencom.vmware.nsx:nsx-policy-java-sdk${nsxpolicysdk.version}pom.xml
Mavencom.vmware.nsx:nsx-java-sdk${nsxjavasdk.version}pom.xml
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
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

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 statistics.