Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 13:57 UTC

pawamoy / markdown-exec

Utilities to execute code blocks in Markdown files.

PythonISC★ 170 stars⑂ 22 forkssince Feb 2022View on GitHub ↗
KindLibraryhow this is determined
#markdown#python-markdown#literate-programming

pawamoy/markdown-exec holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (78/100) and lowest on Security (41/100). It was last updated 10 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

Timothée MazzucotelliPersonal account
611 followers141 public repossince Mar 2013@zensical

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImarkdown-exec1.12.3829,7204211 days agomarkdownpythonexecshellbashmkdocs

Metrics by category

Vitality

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

71Good · 21% of overall

Development activity

57Moderate
How it's scored
28.8/36Push recency — last push 10 days ago
4.2/36Commit cadence — 6/52 weeks with commits
13.9/18Commit volume — 34 commits in the last year
10/10OpenSSF Scorecard: Maintained — 18 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year34
human_commit_share—
days_since_last_push10
active_weeks_last_year6

Release discipline

92Excellent
How it's scored
27/27Ships releases — 19 releases published
36/36Release recency — latest release 11 days ago
19.8/27Release cadence — a release every ~64.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count19
latest_release_tag1.12.3
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases64.2
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?

76Good · 17% of overall

Popularity & adoption

47Weak
How it's scored
36.1/60Stars — 170 stars
11/25Forks — 22 forks
0/15Watchers — 2 watchers
Inputs used
forks22
stars170
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (ISC)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

99Exceptional
How it's scored
78.9/80Monthly downloads — 829,720 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmarkdown-exec
dependents—
ecosystemspypi
total_downloads—
monthly_downloads829,720
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

28At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.6/22.5Commit distribution — top contributor authored 97% of commits
8.1/13.5Contributor breadth — 6 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.974

Issue & PR responsiveness

57Moderate
How it's scored
32.3/42Issue resolution — 77% of issues closed
17.6/30PR acceptance — 10/17 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/26 approved changesets -- score normalized to 0
Inputs used
merged_prs10
open_issues16
closed_issues53
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.768
closed_unmerged_prs7
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

69Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
20/25Owner reach — 611 followers of pawamoy
25/25Track record — 141 public repos, account ~13 yr old
Inputs used
followers611
owner_typeUser
is_verified—
owner_loginpawamoy
public_repos141
account_age_days4,859
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 11 days ago
20/20Version history — 42 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmarkdown-exec
ecosystemspypi
any_deprecatedno
min_days_since_publish11

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall

Engineering practices

64Moderate
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 5 merged PRs checked by a CI test -- score normalized to 0
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://pawamoy.github.io/markdown-exec
10/10Repository description
10/10Topics — 3 topics
10/10Wiki
Inputs used
topicsmarkdown, python-markdown, literate-programming
has_wikiyes
homepagehttps://pawamoy.github.io/markdown-exec
docs_sitehttps://pawamoy.github.io/markdown-exec
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

41Weak · 16% of overall

Security posture

41Weak
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
0/2.5CI-Tests — 0 out of 5 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
0/7.5Code-Review — Found 0/26 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 — 18 commit(s) and 3 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.1
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. 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.

51Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

76Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — src/markdown_exec/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/markdown_exec/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/markdown_exec/py.typed)
55/55Manageable file sizes — 0/71 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes9,507
source_files_sampled71
oversized_source_files0

Key facts

170GitHub stars
6contributors
34commits, last 12 months
10days since last push
19releases
1bus factor
16open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 · 2026-07-18 13:57 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 5 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/26 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained18 commit(s) and 3 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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIpymdown-extensions>=9pyproject.toml
All dependencies 34

Full resolved dependency set from the GitHub dependency graph: 1 direct and 33 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpymdown-extensions—direct
PyPIchalk-diagrams—indirect
PyPIdiagrams—indirect
PyPIdrawsvg—indirect
PyPIduty—indirect
PyPIghp-import—indirect
PyPIgit-changelog—indirect
PyPIgriffe—indirect
PyPIhyperbolic—indirect
PyPImarkdown-callouts—indirect
PyPImatplotlib—indirect
PyPImkdocstrings—indirect
PyPInumpy—indirect
PyPIpandas—indirect
PyPIpip—indirect
PyPIpipdeptree—indirect
PyPIplotly—indirect
PyPIpydeps—indirect
PyPIpygments—indirect
PyPIpygments-ansi-color—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-randomly—indirect
PyPIpytest-xdist—indirect
PyPIqrcode—indirect
PyPIrich—indirect
PyPIruff—indirect
PyPItextual—indirect
PyPItwine—indirect
PyPIty—indirect
PyPItypes-markdown—indirect
PyPItypes-pyyaml—indirect
PyPIyore—indirect
PyPIzensical—indirect
Raw JSON report machine-readable

Feedback

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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 v2.10.0, schema v0.12.0 — full methodology · metrics wiki.

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