Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-19 15:35 UTC

ninemoreminutes / django-crum

Django CRUM (Current Request User Middleware) captures the current request and user in thread local storage.

PythonCustom license★ 102 stars⑂ 15 forkssince Oct 2013View on GitHub ↗
KindLibraryNetwork servicehow this is determined

ninemoreminutes/django-crum holds a health index of 23 out of 100, placing it in the At Risk band. It scores highest on Engineering Quality (70/100) and lowest on Vitality (13/100). It was last updated 909 days ago. A single contributor accounts for most of its recent work.

23
overall / 100
At Risk

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.

23
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 42 is calibrated to 38 on the published index scale (record calibration 2026-08-02).

Ownership

1 follower25 public repossince Feb 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdjango-crum0.7.9-142107 days agodjangorequestusermiddlewarethreadlocal

Metrics by category

Vitality

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

13Critical · 21% of overall
How it's scored
0/36Push recencylast push 909 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push909
active_weeks_last_year0
How it's scored
16.2/27Ships releases10 version tags (no GitHub releases)
0/36Release recencylatest release 2,107 days ago
12.6/27Release cadencea release every ~179.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count10
latest_release_tag0.7.9
releases_from_tagsyes
days_since_latest_release2,107
mean_days_between_releases179.2
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?

45Weak · 17% of overall
How it's scored
32.5/60Stars102 stars
9.6/25Forks15 forks
2.7/15Watchers4 watchers
Inputs used
forks15
stars102
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
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?

43Weak · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0/22.5Commit distributiontop contributor authored 100% of commits
1.4/13.5Contributor breadth1 contributors
10/10OpenSSF Scorecard: Contributorsproject has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
21/42Issue resolution50% of issues closed
0/30PR acceptance0/20 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues5
closed_issues5
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.5
closed_unmerged_prs20
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 backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
2.2/25Owner reach1 followers of ninemoreminutes
22.3/25Track record25 public repos, account ~15 yr old
Inputs used
followers1
owner_typeOrganization
is_verified
owner_loginninemoreminutes
public_repos25
account_age_days5,674
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
4/35Publish recencylatest publish 2,107 days ago
20/20Version history14 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesdjango-crum
ecosystemspypi
any_deprecatedno
min_days_since_publish2,107

Engineering Quality

Are baseline engineering and documentation practices in place?

70Good · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
0/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://django-crum.readthedocs.io/
10/10Repository description
10/10Topics2 topics
10/10Wiki
Inputs used
topicsdjango, django-middleware
has_wikiyes
homepagehttp://django-crum.readthedocs.io/
docs_sitehttp://django-crum.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

46Weak · 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
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 4 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTno SAST tool detected
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.3
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, 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
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages3
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:django-crum@0.7.9 runtime dependency closure — what installing the published package pulls in — 3 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.

30At Risk · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
19.6/40Legible commit history22 of 60 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.367
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
0/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 60
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsno
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/14 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes8,015
source_files_sampled14
oversized_source_files0

Key facts

102GitHub stars
1contributors
0commits, last 12 months
909days since last push
10releases
1bus factor
5open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 15 ⇿
0Stars
15Forks
10Releases

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.

03581013151522014-122020-022025-05
Major 0Minor 1Patch 9

Each point covers 10 days.

OpenSSF Scorecard 3.3 / 10
3.3aggregate

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 15:35 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
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
PyPIdjango>=1.8setup.cfg
All dependencies 101

Full resolved dependency set from the GitHub dependency graph: 2 direct and 99 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjango2.2.20direct
PyPIdjango3.2direct
PyPIalabaster0.7.12indirect
PyPIappdirs1.4.4indirect
PyPIappnope0.1.2indirect
PyPIasgiref3.3.4indirect
PyPIattrs20.3.0indirect
PyPIbabel2.9.0indirect
PyPIbackcall0.2.0indirect
PyPIbleach3.3.0indirect
PyPIbump2version1.0.1indirect
PyPIbumpversion0.6.0indirect
PyPIcertifi2020.12.5indirect
PyPIchardet4.0.0indirect
PyPIclick7.1.2indirect
PyPIcolorama0.4.4indirect
PyPIcoverage5.5indirect
PyPIdecorator5.0.5indirect
PyPIdistlib0.3.1indirect
PyPIdjango-debug-toolbar3.1.1indirect
PyPIdjango-debug-toolbar3.2indirect
PyPIdjango-extensions3.1.0indirect
PyPIdjango-extensions3.1.2indirect
PyPIdjangorestframework3.12.4indirect
PyPIdocutils0.17indirect
PyPIfilelock3.0.12indirect
PyPIflake83.9.0indirect
PyPIidna2.10indirect
PyPIimagesize1.2.0indirect
PyPIimportlib-metadata2.1.1indirect
PyPIimportlib-metadata3.10.0indirect
PyPIimportlib-resources3.2.1indirect
PyPIimportlib-resources5.1.2indirect
PyPIiniconfig1.1.1indirect
PyPIipython7.16.1indirect
PyPIipython7.22.0indirect
PyPIipython7.9.0indirect
PyPIipython-genutils0.2.0indirect
PyPIjedi0.17.2indirect
PyPIjedi0.18.0indirect
PyPIjinja22.11.3indirect
PyPIkeyring23.0.1indirect
PyPImarkupsafe1.1.1indirect
PyPImccabe0.6.1indirect
PyPIpackaging20.9indirect
PyPIparso0.7.1indirect
PyPIparso0.8.2indirect
PyPIpathlib22.3.5indirect
PyPIpep5170.10.0indirect
PyPIpexpect4.8.0indirect
PyPIpickleshare0.7.5indirect
PyPIpip-tools5.5.0indirect
PyPIpip-tools6.0.1indirect
PyPIpkginfo1.7.0indirect
PyPIpluggy0.13.1indirect
PyPIprompt-toolkit2.0.10indirect
PyPIprompt-toolkit3.0.18indirect
PyPIptyprocess0.7.0indirect
PyPIpy1.10.0indirect
PyPIpycodestyle2.7.0indirect
PyPIpyflakes2.3.1indirect
PyPIpygments2.8.1indirect
PyPIpyparsing2.4.7indirect
PyPIpytest6.1.2indirect
PyPIpytest6.2.3indirect
PyPIpytest-cov2.11.1indirect
PyPIpytest-django4.1.0indirect
PyPIpytest-flake81.0.7indirect
PyPIpytest-runner5.2indirect
PyPIpytest-runner5.3.0indirect
PyPIpytz2021.1indirect
PyPIreadme-renderer29.0indirect
PyPIrequests2.25.1indirect
PyPIrequests-toolbelt0.9.1indirect
PyPIrfc39861.4.0indirect
PyPIsetuptools-twine0.1.3indirect
PyPIsix1.15.0indirect
PyPIsnowballstemmer2.1.0indirect
PyPIsphinx3.5.3indirect
PyPIsphinxcontrib-applehelp1.0.2indirect
PyPIsphinxcontrib-devhelp1.0.2indirect
PyPIsphinxcontrib-htmlhelp1.0.3indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp1.0.3indirect
PyPIsphinxcontrib-serializinghtml1.1.4indirect
PyPIsqlparse0.4.1indirect
PyPItoml0.10.2indirect
PyPItox3.23.0indirect
PyPItox-gh-actions2.4.0indirect
PyPItqdm4.60.0indirect
PyPItraitlets4.3.3indirect
PyPItraitlets5.0.5indirect
PyPItwine1.15.0indirect
PyPItwine3.4.1indirect
PyPItyping-extensions3.7.4.3indirect
PyPIurllib31.26.4indirect
PyPIvirtualenv20.4.3indirect
PyPIwcwidth0.2.5indirect
PyPIwebencodings0.5.1indirect
PyPIzipp1.2.0indirect
PyPIzipp3.4.1indirect
Dependency advisories 0

Installing pypi:django-crum@0.7.9 pulls in 3 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 v0.31.0 — full methodology · metrics wiki.

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