Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 14:09 UTC

grml / grml-live

Build tool for Grml Live Linux

Shell · PythonNo license detected★ 155 stars⑂ 52 forkssince Jun 2011View on GitHub ↗

grml/grml-live holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on Security (25/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

71
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.

71
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 63 is calibrated to 71 on the published index scale (record calibration 2026-08-02).

Ownership

Grml Live Linux systemOrganization · verified domain
74 followers59 public repossince Jun 2011

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?

83Excellent · 21% of overall
How it's scored
36/36Push recency — last push 3 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 482 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year482
human_commit_share0.99
days_since_last_push3
active_weeks_last_year32
How it's scored
16.2/27Ships releases — 100 version tags (no GitHub releases)
36/36Release recency — latest release 58 days ago
19.8/27Release cadence — a release every ~55 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.57.0
releases_from_tagsyes
days_since_latest_release58
mean_days_between_releases55

Community & Adoption

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

42Weak · 17% of overall
How it's scored
35.5/60Stars — 155 stars
14.2/25Forks — 52 forks
6.5/15Watchers — 16 watchers
Inputs used
forks52
stars155
watchers16
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
0/22.5License — no license file detected
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

66Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
8.2/22.5Commit distribution — top contributor authored 64% of commits
13.5/13.5Contributor breadth — 33 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled33
top_contributor_share0.637
How it's scored
32.3/42Issue resolution — 77% of issues closed
27.1/30PR acceptance — 444/492 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs444
open_issues32
closed_issues107
prs_merged_7d30
prs_decided_7d31
prs_merged_30d34
prs_decided_30d37
issue_closed_ratio0.77
closed_unmerged_prs48
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
13.5/25Owner reach — 74 followers of grml
24.9/25Track record — 59 public repos, account ~15 yr old
Inputs used
followers74
owner_typeOrganization
is_verifiedyes
owner_logingrml
public_repos59
account_age_days5,561

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — build-driver/pyproject.toml ([tool.black], [tool.pycodestyle])
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_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://grml.org/grml-live/
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsgrml, grml-live, debian, image-builder, iso
has_wikiyes
homepagehttps://grml.org/grml-live/
docs_sitehttps://grml.org/grml-live/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

25At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsbuild-driver/pyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes

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.

65Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
37.2/40Legible commit history — 69 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.697
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — build-driver/pyproject.toml ([tool.black], [tool.pycodestyle])
0/11Static type checking
10/10Reproducible environment — Dockerfile
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_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.01
How it's scored
0/45Type-checkable code — Shell without a type-check config
55/55Manageable file sizes — 0/19 source files over 60KB
Inputs used
primary_languageShell
largest_source_bytes41,874
source_files_sampled19
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

155GitHub stars
33contributors
482commits, last 12 months
3days since last push
100releases
1bus factor
32open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No resolved dependencies carried a version and a supported ecosystem
  • OpenSSF Scorecard did not return a usable result (exit code 0; Skipping github.com/grml/grml-live: run: internal error: ListCommits:error during graphqlHandler.setup: internal error: githubv4.Query: Something went wrong while executing your query on 2026-09-09T14:09:38Z. Please include `E760:210F6B:15ED5C7:1546439:6AA168A0` when reporting this issue.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 52 ⇿
0Stars
52Forks
99Releases

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.

01020304050605222012-012019-042026-07
Major 0Minor 29Patch 70

Each point covers 14 days.

All dependencies 3

Full resolved dependency set from the GitHub dependency graph: 0 direct and 3 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpytest—indirect
PyPIruff—indirect
PyPIsetuptools—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.