Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 05:22 UTC

ivelum / djangoql

Advanced search language for Django

Python · HTMLMIT★ 1,138 stars⑂ 95 forkssince Mar 2017View on GitHub ↗

ivelum/djangoql holds a health index of 29 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (63/100) and lowest on Vitality (10/100). It was last updated 198 days ago. A single contributor accounts for most of its recent work.

29
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.

29
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 43 is calibrated to 39 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 75% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

ivelumOrganization
26 followers56 public repossince Feb 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdjangoql0.19.1-64198 days ago

Metrics by category

Vitality

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

10Critical · 21% of overall

Development activity

16Critical
How it's scored
3.6/36Push recency — last push 198 days ago
1.4/36Commit cadence — 2/52 weeks with commits
10.6/18Commit volume — 14 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year14
human_commit_share1
days_since_last_push198
active_weeks_last_year2

Release discipline

1Critical
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

63Moderate · 17% of overall

Popularity & adoption

75Good
How it's scored
49.6/60Stars — 1,138 stars
16.4/25Forks — 95 forks
8.9/15Watchers — 41 watchers
Inputs used
forks95
stars1,138
watchers41
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
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_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

39Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.2/22.5Commit distribution — top contributor authored 72% of commits
13.5/13.5Contributor breadth — 29 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled29
top_contributor_share0.723

Issue & PR responsiveness

52Moderate
How it's scored
26.5/42Issue resolution — 63% of issues closed
18.8/30PR acceptance — 30/48 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/30 approved changesets -- score normalized to 0
Inputs used
merged_prs30
open_issues27
closed_issues46
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.63
closed_unmerged_prs18
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.

Ownership & stewardship

81Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
10.3/25Owner reach — 26 followers of ivelum
24.8/25Track record — 56 public repos, account ~14 yr old
Inputs used
followers26
owner_typeOrganization
is_verified—
owner_loginivelum
public_repos56
account_age_days5,300
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

91Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 198 days ago
20/20Version history — 64 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdjangoql
ecosystemspypi
any_deprecatedno
min_days_since_publish198

Engineering Quality

Are baseline engineering and documentation practices in place?

48Weak · 19% of overall

Engineering practices

54Moderate
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests — 1 out of 3 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

40Weak
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

35Weak · 16% of overall

Security posture

19Critical
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
0.8/2.5CI-Tests — 1 out of 3 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 2/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 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
0/7.5Maintained — 0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
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
0/7.5Vulnerabilities — 28 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2.5
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier75
security_posture_after_multiplier19
security_posture_before_jurisdiction25
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 75% multiplier and gives Security posture an At risk ceiling of 34.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
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:djangoql@0.19.1 runtime dependency closure — what installing the published package pulls in — 1 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.

29At Risk · 4% of overall

Agent context & guidance

11Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
10.7/40Legible commit history — 20 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.2
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

32At Risk
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesyarn.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/40 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes27,719
source_files_sampled40
oversized_source_files0

Key facts

1,138GitHub stars
29contributors
14commits, last 12 months
198days since last push
0releases
1bus factor
27open issues
npm, 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 ★ / 95 ⇿
0Stars
95Forks

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.

0204060801009262017-042021-102026-05

Each point covers 9 days.

OpenSSF Scorecard 2.5 / 10
2.5aggregate

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 · 2026-08-13 05:22 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
3CI-Tests1 out of 3 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/30 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 1 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
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
0Vulnerabilities28 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
npmdjangoql-completion0.6.0package.json
All dependencies 304

Full resolved dependency set from the GitHub dependency graph: 1 direct and 303 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npmdjangoql-completion0.6.0direct
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npm@babel/helper-member-expression-to-functions7.14.5indirect
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npm@babel/helper-module-transforms7.14.5indirect
npm@babel/helper-optimise-call-expression7.14.5indirect
npm@babel/helper-plugin-utils7.14.5indirect
npm@babel/helper-remap-async-to-generator7.14.5indirect
npm@babel/helper-replace-supers7.14.5indirect
npm@babel/helper-simple-access7.14.5indirect
npm@babel/helper-skip-transparent-expression-wrappers7.14.5indirect
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npmregenerate-unicode-properties8.2.0indirect
npmregenerator-runtime0.13.7indirect
npmregenerator-transform0.14.5indirect
npmregexpu-core4.7.1indirect
npmregjsgen0.5.2indirect
npmregjsparser0.6.9indirect
npmresolve1.20.0indirect
npmresolve-cwd3.0.0indirect
npmresolve-from5.0.0indirect
npmsafe-buffer5.1.2indirect
npmsafe-buffer5.2.1indirect
npmschema-utils2.7.1indirect
npmschema-utils3.0.0indirect
npmsemver6.3.0indirect
npmsemver7.0.0indirect
npmsemver7.3.5indirect
npmserialize-javascript5.0.1indirect
npmshallow-clone3.0.1indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmsignal-exit3.0.3indirect
npmsource-list-map2.0.1indirect
npmsource-map0.5.7indirect
npmsource-map0.6.1indirect
npmsource-map0.7.3indirect
npmsource-map-js0.6.2indirect
npmsource-map-support0.5.19indirect
npmstrip-final-newline2.0.0indirect
npmsupports-color5.5.0indirect
npmsupports-color8.1.1indirect
npmtapable2.2.0indirect
npmterser5.7.0indirect
npmterser-webpack-plugin5.1.3indirect
npmto-fast-properties2.0.0indirect
npmunicode-canonical-property-names-ecmascript1.0.4indirect
npmunicode-match-property-ecmascript1.0.4indirect
npmunicode-match-property-value-ecmascript1.2.0indirect
npmunicode-property-aliases-ecmascript1.1.0indirect
npmuri-js4.4.1indirect
npmutil-deprecate1.0.2indirect
npmv8-compile-cache2.3.0indirect
npmwatchpack2.2.0indirect
npmwebpack5.37.0indirect
npmwebpack-cli4.7.0indirect
npmwebpack-merge5.8.0indirect
npmwebpack-sources1.4.3indirect
npmwebpack-sources2.3.0indirect
npmwhich2.0.2indirect
npmwildcard2.0.0indirect
npmyallist4.0.0indirect
npmyocto-queue0.1.0indirect
PyPIflake83.9.2indirect
PyPIflake8-builtins1.5.3indirect
PyPIflake8-commas2.0.0indirect
PyPIflake8-print4.0.0indirect
PyPIflake8-quotes3.2.0indirect
PyPIisort5.8.0indirect
PyPIply—indirect
Dependency advisories 0

Installing pypi:djangoql@0.19.1 pulls in 1 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.

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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 v0.31.0 — full methodology · metrics wiki.

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