Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 14:10 UTC

l4rm4nd / VoucherVault

Django web application to store and manage vouchers, coupons, loyalty and gift cards digitally. Supports PWA, offline caching, expiry notifications, transaction histories, file uploads and OIDC SSO.

HTML · JavaScript · PythonGPL-3.0★ 513 stars⑂ 27 forkssince Jul 2024View on GitHub ↗

l4rm4nd/VoucherVault holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Vitality (83/100) and lowest on AI Readiness (29/100). It was last updated 12 days ago. A single contributor accounts for most of its recent work.

62
overall / 100
Moderate

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.

62
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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

LRVTPersonal account
141 followers110 public repossince Aug 2016

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
28.8/36Push recency — last push 12 days ago
14.5/36Commit cadence — 21/52 weeks with commits
18/18Commit volume — 144 commits in the last year
10/10OpenSSF Scorecard: Maintained — 14 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year144
human_commit_share1
days_since_last_push12
active_weeks_last_year21

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 12 days ago
27/27Release cadence — a release every ~17 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv1.30.3
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases17
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?

55Moderate · 17% of overall
How it's scored
43.9/60Stars — 513 stars
11.8/25Forks — 27 forks
3.3/15Watchers — 5 watchers
Inputs used
forks27
stars513
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges10
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadgen.net, shields.io
has_pull_request_templateno

Sustainability & Governance

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

50Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
9.5/13.5Contributor breadth — 7 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled7
top_contributor_share0.986
How it's scored
41.3/42Issue resolution — 98% of issues closed
19.6/30PR acceptance — 17/26 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Inputs used
merged_prs17
open_issues2
closed_issues116
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.983
closed_unmerged_prs9
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
15.5/25Owner reach — 141 followers of l4rm4nd
25/25Track record — 110 public repos, account ~10 yr old
Inputs used
followers141
owner_typeUser
is_verified—
owner_loginl4rm4nd
public_repos110
account_age_days3,703
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

48Weak · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://github.com/l4rm4nd/VoucherVault/wiki
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicscoupons, vouchers, conventional-commits, apprise, asset-manager, coupon-management-system, expiry-checker, giftcards, loyalty-cards, oidc, python3, selfhosting, vouchers-management, django5, coupon-management, coupon, giftcard, voucher, loyaltycard, stocard
has_wikiyes
homepagehttps://github.com/l4rm4nd/VoucherVault/wiki
docs_sitehttps://github.com/l4rm4nd/VoucherVault/wiki
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

61Moderate · 16% of overall
How it's scored
5.2/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 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 — 14 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — no data
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
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): CI-Tests, SAST, 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
advisories2
affected_packages1
assessed_packages14
unassessed_packages1
affected_by_severitylow 1
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 14 resolved dependencies against OSV. 1 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.

29At Risk · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 92 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.92
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
0/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsno
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — HTML without a type-check config
54.1/55Manageable file sizes — 1/62 source files over 60KB
Inputs used
primary_languageHTML
largest_source_bytes335,967
source_files_sampled62
oversized_source_files1

Key facts

513GitHub stars
7contributors
144commits, last 12 months
12days since last push
100releases
1bus factor
2open 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 ★ / 27 ⇿
0Stars
27Forks
100Releases

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.

0510152025302722024-072025-092026-10
Major 0Minor 23Patch 77

Each point covers 3 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-10-21 14:10 UTC

7Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsinternal error: internal error: Client.Repositories.ListCheckRunsForRef: error during graphqlHandler.setupCheckRuns: Something went wrong while executing your query on 2026-10-21T14:10:20Z. Please include `CBA4:17D5EB:124F21D:1A8BC9B:6AD8C7CA` when reporting this issue.
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 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
10Maintained14 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
n/aSASTinternal error: internal error: Client.Checks.ListCheckRunsForRef: error during graphqlHandler.setupCheckRuns: Something went wrong while executing your query on 2026-10-21T14:10:20Z. Please include `CBA4:17D5EB:124F21D:1A8BC9B:6AD8C7CA` when reporting this issue.
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 0 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIapprise1.9.9indirect
PyPIcelery—indirect
PyPIdjango5.2.18indirect
PyPIdjango-celery-beat2.9.0indirect
PyPIdjango-csp4.0indirect
PyPIdjango-feature-policy4.0.0indirect
PyPIdjango-http-referrer-policy1.1.1indirect
PyPIdjango-pwa2.0.1indirect
PyPImozilla-django-oidc5.0.2indirect
PyPIpsycopg2-binary2.9.11indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2026.1.post1indirect
PyPIqrcode8.2indirect
PyPItreepoem3.28.0indirect
PyPIuwsgi2.0.31indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 14 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
apprise1.9.9indirectlow21.11.0

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.