Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-02 07:55 UTC

maykinmedia / zgw-consumers

Django app to store ZGW API configuration

PythonMIT★ 1 star⑂ 2 forkssince May 2019View on GitHub ↗
KindLibraryNetwork servicehow this is determined

maykinmedia/zgw-consumers holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (36/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

MaykinOrganization
28 followers252 public repossince Apr 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIzgw-consumers2.1.013,624920 days agodjangozgwcommon-groundvngapiopenapioasmtls

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 recency — last push 0 days ago
11.8/36Commit cadence — 17/52 weeks with commits
17.2/18Commit volume — 82 commits in the last year
10/10OpenSSF Scorecard: Maintained — 23 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year82
human_commit_share1
days_since_last_push0
active_weeks_last_year17
How it's scored
16.2/27Ships releases — 72 version tags (no GitHub releases)
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~51.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count72
latest_release_tag2.1.0
releases_from_tagsyes
days_since_latest_release0
mean_days_between_releases51.7
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?

36Weak · 17% of overall
How it's scored
0/60Stars — 1 stars
0/25Forks — 2 forks
2.7/15Watchers — 4 watchers
Inputs used
forks2
stars1
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized 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_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
55.1/80Monthly downloads — 13,624 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageszgw-consumers
dependents—
ecosystemspypi
total_downloads—
monthly_downloads13,624
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
9/54Bus factor — 1 contributor(s) cover half of all commits
9.3/22.5Commit distribution — top contributor authored 59% of commits
13.5/13.5Contributor breadth — 15 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled15
top_contributor_share0.588
How it's scored
34.5/42Issue resolution — 82% of issues closed
28.9/30PR acceptance — 103/107 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs103
open_issues7
closed_issues32
prs_merged_7d2
prs_decided_7d2
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.821
closed_unmerged_prs4
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.5/25Owner reach — 28 followers of maykinmedia
25/25Track record — 252 public repos, account ~15 yr old
Inputs used
followers28
owner_typeOrganization
is_verifiedno
owner_loginmaykinmedia
public_repos252
account_age_days5,644

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 92 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageszgw-consumers
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), tox.ini
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://zgw-consumers.readthedocs.io/en/latest/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://zgw-consumers.readthedocs.io/en/latest/
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-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 10 contributing companies or organizations
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 — 23 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.6
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.
How it's scored
9.1/35Direct dependencies free of known advisories — 2 affected: django 5.2.15 (high 8.8), requests 2.32.3 (moderate 5.5)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
35.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 479 days ago
Inputs used
sourceosv
advisories43
affected_packages5
assessed_packages19
unassessed_packages11
affected_by_severityhigh 3, moderate 2
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 19 resolved dependencies against OSV. 11 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

61Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
31.5/40Legible commit history — 59 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.59
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff]), tox.ini
11/11Static type checking — zgw_consumers/py.typed
0/10Reproducible environment
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configszgw_consumers/py.typed
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (zgw_consumers/py.typed)
55/55Manageable file sizes — 0/103 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes15,321
source_files_sampled103
oversized_source_files0

Key facts

1GitHub stars
15contributors
82commits, last 12 months
0days since last push
72releases
1bus factor
7open 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:zgw-consumers@2.1.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 2 ⇿
0Stars
2Forks
4Releases

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.

111222212020-072020-092020-11
Major 0Minor 2Patch 2
OpenSSF Scorecard 7.6 / 10
7.6aggregate

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 · 2026-10-02 07:54 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
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained23 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
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 9
RegistryPackageVersion constraintManifest
PyPIdjango>=5.2pyproject.toml
PyPIdjango-relativedelta>=2.0.0pyproject.toml
PyPIdjango-solo—pyproject.toml
PyPIdjango-privates>=4.0.2pyproject.toml
PyPIdjango-simple-certmanager>=4.0.0pyproject.toml
PyPIrequests—pyproject.toml
PyPIape-pie—pyproject.toml
PyPItyping_extensions>=4.5.0pyproject.toml
PyPIPyJWT>=2.0.2pyproject.toml
All dependencies 30

Full resolved dependency set from the GitHub dependency graph: 12 direct and 18 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIape-pie—direct
PyPIdjango—direct
PyPIdjango5.2.15direct
PyPIdjango-privates—direct
PyPIdjango-relativedelta—direct
PyPIdjango-simple-certmanager—direct
PyPIdjango-solo—direct
PyPIpyjwt—direct
PyPIrequests—direct
PyPIrequests2.32.3direct
PyPItyping-extensions—direct
PyPItyping-extensions4.12.2direct
PyPIasgiref3.8.1indirect
PyPIcertifi2024.8.30indirect
PyPIcharset-normalizer3.4.0indirect
PyPIdjango-setup-configuration—indirect
PyPIdjango-stubs5.1.1indirect
PyPIdjango-stubs-ext5.1.1indirect
PyPIdjangorestframework-stubs3.15.1indirect
PyPIfactory-boy3.3.3indirect
PyPIfaker40.22.0indirect
PyPIidna3.10indirect
PyPInodeenv1.9.1indirect
PyPIpyright1.1.410indirect
PyPIsetuptools—indirect
PyPIsqlparse0.5.2indirect
PyPItypes-factory-boy0.4.1indirect
PyPItypes-pyyaml6.0.12.20240917indirect
PyPItypes-requests2.32.0.20241016indirect
PyPIurllib32.2.3indirect
Dependency advisories 5

This repository publishes no package the index resolves, so its own dependency graph was assessed — 19 packages, which also include development and test pins that never ship: 5 carry known advisories, of which 2 are direct. 11 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
django5.2.15directhigh106.1.1
sqlparse0.5.2indirecthigh110.6.0
urllib32.2.3indirecthigh162.8.0
requests2.32.3directmoderate42.33.0
idna3.10indirectmoderate23.15

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.