Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-16 09:20 UTC

MrThearMan / graphene-django-query-optimizer

Automatically optimize SQL queries in Graphene-Django schemas.

PythonMIT★ 20 stars⑂ 10 forkssince Aug 2023View on GitHub ↗
KindLibraryNetwork servicehow this is determined

MrThearMan/graphene-django-query-optimizer holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (94/100) and lowest on Community & Adoption (56/100). It was last updated today. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Matti LamppuPersonal account
12 followers31 public repossince Feb 2016@vincit

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
PyPIgraphene-django-query-optimizer0.11.011,284800 days agodjangographenesqlgraphqlpythonqueryoptimizeroptimization

Metrics by category

Vitality

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

94Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
33.2/36Commit cadence — 48/52 weeks with commits
17.3/18Commit volume — 83 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year83
human_commit_share0.28
days_since_last_push0
active_weeks_last_year48
How it's scored
27/27Ships releases — 80 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~64.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count80
latest_release_tagv0.11.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases64.5
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?

56Moderate · 17% of overall
How it's scored
20.7/60Stars — 20 stars
8/25Forks — 10 forks
0/15Watchers — 1 watchers
Inputs used
forks10
stars20
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes
How it's scored
54/80Monthly downloads — 11,284 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgraphene-django-query-optimizer
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,284
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
9.1/22.5Commit distribution — top contributor authored 59% of commits
6.8/13.5Contributor breadth — 5 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled5
top_contributor_share0.594
How it's scored
42/42Issue resolution — 100% of issues closed
28/30PR acceptance — 273/293 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/24 approved changesets -- score normalized to 0
Inputs used
merged_prs273
open_issues0
closed_issues40
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
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
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
8/25Owner reach — 12 followers of MrThearMan
23/25Track record — 31 public repos, account ~10 yr old
Inputs used
followers12
owner_typeUser
is_verified—
owner_loginMrThearMan
public_repos31
account_age_days3,901
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 0 days ago
20/20Version history — 80 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgraphene-django-query-optimizer
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/graphene-django-query-optimizer/
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicsdjango, graphene, graphene-django, optimization, orm, python, sql
has_wikino
homepagehttps://pypi.org/project/graphene-django-query-optimizer/
docs_sitehttps://pypi.org/project/graphene-django-query-optimizer/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

63Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 6 out of 6 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
0/7.5Code-Review — Found 0/24 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 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_aggregate5.4
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages59
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 59 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.

57Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://mrthearman.github.io/graphene-django-query-optimizer/llms.txt)
0/40Legible commit history — 0 of 28 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://mrthearman.github.io/graphene-django-query-optimizer/llms.txt
legible_history_share0
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — justfile, noxfile.py
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — query_optimizer/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 39 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesjustfile, noxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configsquery_optimizer/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.39
How it's scored
27/45Type-checkable code — Python with type-check config (query_optimizer/py.typed)
55/55Manageable file sizes — 0/77 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes47,494
source_files_sampled77
oversized_source_files0

Key facts

20GitHub stars
5contributors
83commits, last 12 months
0days since last push
80releases
1bus factor
0open 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:graphene-django-query-optimizer@0.11.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 10 ⇿
0Stars
10Forks
61Releases

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.

02468101022024-022025-042026-06
Major 0Minor 9Patch 52

Each point covers 3 days.

OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-10-16 09:20 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/24 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 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 7
RegistryPackageVersion constraintManifest
PyPIdjango>=5.2.18pyproject.toml
PyPIgraphene>=3.4.3pyproject.toml
PyPIgraphene-django>=3.2.3pyproject.toml
PyPIgraphql-core>=3.2.13pyproject.toml
PyPIgraphql-relay>=3.2.0pyproject.toml
PyPIdjango-settings-holder>=0.3.1pyproject.toml
PyPItyping-extensions>=4.16.0pyproject.toml
All dependencies 59

Full resolved dependency set from the GitHub dependency graph: 7 direct and 52 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdjango6.1.2direct
PyPIdjango-settings-holder0.3.1direct
PyPIgraphene3.4.3direct
PyPIgraphene-django3.2.3direct
PyPIgraphql-core3.2.13direct
PyPIgraphql-relay3.2.0direct
PyPItyping-extensions4.16.0direct
PyPIargcomplete3.7.2indirect
PyPIasgiref3.12.1indirect
PyPIast-serialize0.13.0indirect
PyPIattrs26.1.0indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcolorlog6.12.0indirect
PyPIcoverage7.16.2indirect
PyPIdeepmerge3.0.1indirect
PyPIdependency-groups1.3.2indirect
PyPIdistlib0.4.3indirect
PyPIdjango-debug-toolbar8.0.0indirect
PyPIdjango-filter26.2indirect
PyPIdjango-graphiql-debug-toolbar0.2.0indirect
PyPIdjango-stubs6.1.2indirect
PyPIdjango-stubs-ext6.1.2indirect
PyPIfactory-boy3.3.3indirect
PyPIfaker40.43.0indirect
PyPIfilelock4.2.0indirect
PyPIgraphene-django-query-optimizer0.11.0indirect
PyPIhumanize4.16.0indirect
PyPIiniconfig2.3.1indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.16.0indirect
PyPImarkdown3.11.1indirect
PyPImarkupsafe3.0.4indirect
PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
PyPInox2026.8.17indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.13.3indirect
PyPIpluggy1.7.0indirect
PyPIprek0.5.5indirect
PyPIpromise2.3indirect
PyPIpy-spy0.4.2indirect
PyPIpygments2.21.0indirect
PyPIpymdown-extensions12.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-django4.14.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.6.3indirect
PyPIpyyaml6.0.3indirect
PyPIruff0.17.1indirect
PyPIsix1.17.0indirect
PyPIsqlparse0.6.0indirect
PyPItext-unidecode1.3indirect
PyPItomli2.5.0indirect
PyPItypes-pyyaml6.0.12.20260906indirect
PyPItzdata2026.5indirect
PyPIvirtualenv21.14.8indirect
PyPIzensical0.0.70indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 59 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 v0.34.0 — full methodology · metrics wiki.

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