Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 13:21 UTC

GoogleCloudPlatform / gce-rescue

GCE Rescue is a command-line tool to boot Google Cloud Platform VMs in Rescue Mode. Topics

PythonApache-2.0★ 55 stars⑂ 11 forkssince Nov 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

GoogleCloudPlatform/gce-rescue holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Security (73/100) and lowest on AI Readiness (50/100). It was last updated 4 days ago. 2 contributors account for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

21,985 followers1,509 public repossince Nov 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIgce-rescue2.5.02211418 days ago

Metrics by category

Vitality

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

71Good · 21% of overall
How it's scored
36/36Push recency — last push 4 days ago
5.5/36Commit cadence — 8/52 weeks with commits
11.7/18Commit volume — 19 commits in the last year
10/10OpenSSF Scorecard: Maintained — 10 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year19
human_commit_share0.92
days_since_last_push4
active_weeks_last_year8
How it's scored
27/27Ships releases — 11 releases published
36/36Release recency — latest release 18 days ago
12.6/27Release cadence — a release every ~152.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count11
latest_release_tagv2.5.0
releases_from_tagsno
days_since_latest_release18
mean_days_between_releases152.2
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?

54Moderate · 17% of overall
How it's scored
28.1/60Stars — 55 stars
8.3/25Forks — 11 forks
7.2/15Watchers — 21 watchers
Inputs used
forks11
stars55
watchers21
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
31.3/80Monthly downloads — 221 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgce-rescue
dependents—
ecosystemspypi
total_downloads—
monthly_downloads221
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?

72Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.5/22.5Commit distribution — top contributor authored 49% of commits
9.5/13.5Contributor breadth — 7 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled7
top_contributor_share0.487
How it's scored
26.9/42Issue resolution — 64% of issues closed
20.8/30PR acceptance — 90/130 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_prs90
open_issues14
closed_issues25
prs_merged_7d0
prs_decided_7d0
prs_merged_30d6
prs_decided_30d6
issue_closed_ratio0.641
closed_unmerged_prs40
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
0/20Verified domain
25/25Owner reach — 21,985 followers of GoogleCloudPlatform
25/25Track record — 1,509 public repos, account ~13 yr old
Inputs used
followers21,985
owner_typeOrganization
is_verifiedno
owner_loginGoogleCloudPlatform
public_repos1,509
account_age_days5,048

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 18 days ago
20/20Version history — 14 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgce-rescue
ecosystemspypi
any_deprecatedno
min_days_since_publish18

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc
0/9.6Pre-commit hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 19 out of 22 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 12 topics
0/10Wiki
Inputs used
topicsboot-disk, bootdisk, cloud, gce, gce-instance, gcp, google, rescue, rescue-system, troubleshooting, instances, vm
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

73Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2/2.5CI-Tests — 19 out of 22 merged PRs checked by a CI test -- score normalized to 8
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
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 — 10 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3/5SAST — SAST tool is not run on all commits -- score normalized to 6
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages24
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 pypi:gce-rescue@2.5.0 runtime dependency closure — what installing the published package pulls in — 24 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.

50Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
24.3/40Legible commit history — 42 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.457
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — .pylintrc
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 8 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesPipfile.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.08
How it's scored
0/45Type-checkable code — Python without a type-check config
53.5/55Manageable file sizes — 3/110 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes247,772
source_files_sampled110
oversized_source_files3

Key facts

55GitHub stars
7contributors
19commits, last 12 months
4days since last push
11releases
2bus factor
14open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-18: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 55 stars today.

More detail

Star and fork history 54 ★ / 11 ⇿
54Stars
11Forks
9Releases

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.

Star history is shown as collected on 2026-07-18. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

0102030405060541162022-112024-092026-07
Major 1Minor 3Patch 4

Each point covers 4 days.

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-09-12 13:20 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
8CI-Tests19 out of 22 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 12/15 approved changesets -- score normalized to 8
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained10 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
6SASTSAST tool is not run on all commits -- score normalized to 6
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIgoogle-auth>=2.42.0gce_rescue_v2/pyproject.toml
PyPIgoogle-api-python-client>=2.185.0gce_rescue_v2/pyproject.toml
PyPIgoogle-auth-httplib2>=0.2.0gce_rescue_v2/pyproject.toml
PyPIhttplib2>=0.22.0gce_rescue_v2/pyproject.toml
PyPIpyyaml>=6.0.1gce_rescue_v2/pyproject.toml
All dependencies 44

Full resolved dependency set from the GitHub dependency graph: 10 direct and 34 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIgoogle-api-python-client—direct
PyPIgoogle-api-python-client2.198.0direct
PyPIgoogle-auth—direct
PyPIgoogle-auth2.56.3direct
PyPIgoogle-auth-httplib2—direct
PyPIgoogle-auth-httplib20.4.1direct
PyPIhttplib2—direct
PyPIhttplib20.32.0direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPIabsl-py—indirect
PyPIabsl-py2.5.0indirect
PyPIastroid4.0.4indirect
PyPIbump2version1.0.1indirect
PyPIbumpversion0.6.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.0indirect
PyPIdill0.4.1indirect
PyPIflake8—indirect
PyPIgoogle-api-core2.34.0indirect
PyPIgoogleapis-common-protos1.75.1indirect
PyPIidna3.19indirect
PyPIisort8.0.1indirect
PyPImccabe0.7.0indirect
PyPIplatformdirs4.11.3indirect
PyPIproto-plus1.28.3indirect
PyPIprotobuf7.36.0indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpylint4.0.7indirect
PyPIpyparsing3.3.2indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIrequests2.34.2indirect
PyPIrsa4.9.1indirect
PyPItomli2.4.1indirect
PyPItomlkit0.15.1indirect
PyPItyping-extensions4.16.0indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
Dependency advisories 0

Installing pypi:gce-rescue@2.5.0 pulls in 24 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

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 — PyPI.