Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-19 08:14 UTC

dmptrluke / django-markdownfield

A custom field for Django that can safely render Markdown and store it in the database.

Python · JavaScript · CSSMIT★ 48 stars⑂ 14 forkssince Dec 2019View on GitHub ↗
KindLibraryNetwork servicehow this is determined

dmptrluke/django-markdownfield holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (98/100) and lowest on AI Readiness (42/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Luke RogersPersonal account
37 followers51 public repossince Jul 2011

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
PyPIdjango-markdownfield0.21.016,253520 days agodjangoeditorfieldmarkdownsanitizer

Metrics by category

Vitality

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

77Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
9/36Commit cadence13/52 weeks with commits
16.7/18Commit volume71 commits in the last year
7/10OpenSSF Scorecard: Maintained8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
Inputs used
commits_last_year71
human_commit_share0.78
days_since_last_push0
active_weeks_last_year13
How it's scored
16.2/27Ships releases50 version tags (no GitHub releases)
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~15.7 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count50
latest_release_tagv0.21.0
releases_from_tagsyes
days_since_latest_release0
mean_days_between_releases15.7
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?

49Weak · 17% of overall
How it's scored
27.1/60Stars48 stars
9.3/25Forks14 forks
0/15Watchers2 watchers
Inputs used
forks14
stars48
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
56.1/80Monthly downloads16,253 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesdjango-markdownfield
dependents
ecosystemspypi
total_downloads
monthly_downloads16,253
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?

63Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
5.4/22.5Commit distributiontop contributor authored 76% of commits
12.2/13.5Contributor breadth9 contributors
10/10OpenSSF Scorecard: Contributorsproject has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled9
top_contributor_share0.758
How it's scored
37/42Issue resolution88% of issues closed
24.5/30PR acceptance36/44 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/14 approved changesets -- score normalized to 0
Inputs used
merged_prs36
open_issues3
closed_issues22
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.88
closed_unmerged_prs8
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
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
11.4/25Owner reach37 followers of dmptrluke
24.5/25Track record51 public repos, account ~15 yr old
Inputs used
followers37
owner_typeUser
is_verified
owner_logindmptrluke
public_repos51
account_age_days5,524
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history52 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdjango-markdownfield
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

98Exceptional · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests13 out of 16 merged PRs checked by a CI test -- score normalized to 8
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://pypi.org/project/django-markdownfield/
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsdjango, markdown, python
has_wikiyes
homepagehttps://pypi.org/project/django-markdownfield/
docs_sitehttps://pypi.org/project/django-markdownfield/
has_readmeyes
has_docs_diryes
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-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2/2.5CI-Tests13 out of 16 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/14 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 6 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
5.2/7.5Maintained8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
5/5Packagingpackaging workflow detected
2/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages23
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 23 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

42Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
20.5/40Legible commit history30 of 78 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.385
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance21 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.21
How it's scored
0/45Type-checkable codePython without a type-check config
53.6/55Manageable file sizes1/38 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes261,356
source_files_sampled38
oversized_source_files1

Key facts

48GitHub stars
9contributors
71commits, last 12 months
0days since last push
50releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:django-markdownfield@0.21.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 14 ⇿
0Stars
14Forks
3Releases

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.

03581013151412021-012023-022025-03
Major 0Minor 3Patch 0

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 · 2026-08-19 08:14 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests13 out of 16 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/14 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
7Maintained8 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 7
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIdjango>=4.2pyproject.toml
PyPInh3>=0.2.17pyproject.toml
PyPImarkdown-it-py>=4.0pyproject.toml
PyPImdit-py-plugins>=0.5.0pyproject.toml
PyPIlinkify-it-py>=2.0pyproject.toml
PyPIshortuuidpyproject.toml
All dependencies 23

Full resolved dependency set from the GitHub dependency graph: 6 direct and 17 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjango5.2.16direct
PyPIlinkify-it-py2.1.0direct
PyPImarkdown-it-py4.2.0direct
PyPImdit-py-plugins0.6.1direct
PyPInh30.3.6direct
PyPIshortuuid1.0.13direct
PyPIasgiref3.11.1indirect
PyPIcolorama0.4.6indirect
PyPIdjango-markdownfield0.21.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIiniconfig2.3.0indirect
PyPImarkdown3.10.3indirect
PyPImdurl0.1.2indirect
PyPIpackaging26.0indirect
PyPIpluggy1.6.0indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-django4.13.0indirect
PyPIsqlparse0.6.0indirect
PyPItomli2.4.1indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
PyPIuc-micro-py2.0.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 23 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.