Öffentliches RegisterKritisch
Software-GesundheitsberichtSchema 0.23.0 · Metriken 1.13.0 · 2026-07-21 21:11 UTC
python-validators / validators
Python Data Validation for Humans™.
python-validators/validators erreicht einen Gesundheitsindex von 28 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Community & Adoption (79/100) ab, am schwächsten bei Vitality (35/100). Zuletzt vor 129 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
28
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
28
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 50 % auf die gewichtete Gesamtgesundheit an und begrenzt sie auf die Obergrenze Gefährdet von 49.
Eigentümerschaft
python-validatorsOrganisation
11 Follower1 öffentliches Reposeit Sept. 2022
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | validators | 0.35.0 | 30.081.603 | 60 | vor 446 Tagen | validationvalidatorpython-validator |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
35
Entwicklungsaktivität
18Kritisch
Wie die Bewertung erfolgt
| 9.9/36 | Push-Aktualität — letzter Push vor 129 Tagen |
| 1.4/36 | Commit-Rhythmus — 2/52 Wochen mit Commits |
| 6.3/18 | Commit-Volumen — 4 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Verwendete Eingangsdaten
| commits_last_year | 4 |
| human_commit_share | 0,92 |
| days_since_last_push | 129 |
| active_weeks_last_year | 2 |
Release-Disziplin
61Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 22 Releases veröffentlicht |
| 7.2/36 | Release-Aktualität — letztes Release vor 446 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 41,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 22 |
| latest_release_tag | 0.35.0 |
| releases_from_tags | nein |
| days_since_latest_release | 446 |
| mean_days_between_releases | 41,9 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
79
Wie die Bewertung erfolgt
| 49.5/60 | Stars — 1.120 Stars |
| 19/25 | Forks — 189 Forks |
| 6/15 | Watcher — 13 Watcher |
Verwendete Eingangsdaten
| forks | 189 |
| stars | 1.120 |
| watchers | 13 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Ökosystem-Verbreitung (Downloads)
100Exzellent
Wie die Bewertung erfolgt
| 80/80 | Downloads pro Monat — 30.081.603 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | validators |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 30.081.603 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
67
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 12.7/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 43 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 56 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 56 |
| top_contributor_share | 0,434 |
Wie die Bewertung erfolgt
| 45.8/46.8 | Issue-Lösungsquote — 98 % der Issues geschlossen |
| 28.1/38.3 | PR-Annahme — 182/248 entschiedene PRs gemergt |
| 9/15 | OpenSSF Scorecard: Code-Review — Found 9/14 approved changesets -- score normalized to 6 |
Verwendete Eingangsdaten
| merged_prs | 182 |
| open_issues | 4 |
| closed_issues | 190 |
| issue_closed_ratio | 0,979 |
| closed_unmerged_prs | 66 |
Eigentümerschaft & Trägerschaft
48Gefährdet
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 7.8/25 | Reichweite des Inhabers — 11 Follower von python-validators |
| 9.9/25 | Kontohistorie — 1 öffentliche Repos, Kontoalter ca. 3 Jahre |
Verwendete Eingangsdaten
| followers | 11 |
| owner_type | Organization |
| is_verified | — |
| owner_login | python-validators |
| public_repos | 1 |
| account_age_days | 1.412 |
Paketpflege
79Gut
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 14/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 446 Tagen |
| 20/20 | Versionshistorie — 60 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | validators |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 446 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
60
Engineering-Praktiken
50Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 2/20 | OpenSSF Scorecard: CI-Tests — 2 out of 17 merged PRs checked by a CI test -- score normalized to 1 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
38
Sicherheitslage
22Kritisch
Jurisdiktionsrisiko-Warnung
Exposition gegenüber einer Hochrisikojurisdiktion erkannt
1 Profile wichtiger MitwirkenderRussiaSicherheit und Gesamtbewertung: Obergrenze Gefährdet
Grundlage sind selbst veröffentlichte öffentliche Profilstandorte. Dieses Governance-Signal bestimmt weder Nationalität, Staatsangehörigkeit, Absicht, Sanktionsstatus noch persönliche Vertrauenswürdigkeit.
So wird Jurisdiktionsexposition bewertetWie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0.2/2.5 | CI-Tests — 2 out of 17 merged PRs checked by a CI test -- score normalized to 1 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 4.5/7.5 | Code-Review — Found 9/14 approved changesets -- score normalized to 6 |
| 2.5/2.5 | Contributors — project has 7 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 5/5 | Fuzzing — project is fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 1 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 32 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4,5 |
| high_risk_jurisdiction_cap | 49 |
| high_risk_jurisdiction_multiplier | 50 |
| security_posture_after_multiplier | 22 |
| security_posture_before_jurisdiction | 45 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging. Die verbleibenden Gewichte wurden renormalisiert. Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 50 % an und begrenzt die Sicherheitslage auf die Obergrenze Gefährdet von 49.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 24 |
| affected_packages | 6 |
| assessed_packages | 44 |
| unassessed_packages | 0 |
| affected_by_severity | high 2, moderate 3, low 1 |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 44 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
61
AI-Agentenkontext & Leitlinien
40Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 78 von 92 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,848 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — src/validators/py.typed |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 8/8 | Automatisierte Wartung — 8 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | pdm.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | src/validators/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,08 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/validators/py.typed) |
| 55/55 | Handhabbare Dateigrößen — 0/64 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 14.979 |
| source_files_sampled | 64 |
| oversized_source_files | 0 |
Eckdaten
1.120GitHub-Sterne
56Mitwirkende
4Commits, letzte 12 Monate
129Tage seit letztem Push
22Releases
2Bus-Faktor
4offene Issues
PyPIPaket-Ökosysteme
Weitere Details
Stern- und Fork-Verlauf 1.120 ★ / 189 ⇿
1.120Sterne
189Forks
22Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
Major 0Minor 15Patch 7
Jeder Punkt umfasst 10 Tage.
OpenSSF Scorecard 4.5 / 10
4.5Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 1 | CI-Tests | 2 out of 17 merged PRs checked by a CI test -- score normalized to 1 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 6 | Code-Review | Found 9/14 approved changesets -- score normalized to 6 |
| 10 | Contributors | project has 7 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 10 | Fuzzing | project is fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 1 | SAST | SAST tool is not run on all commits -- score normalized to 1 |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 32 existing vulnerabilities detected |
Alle Abhängigkeiten 44
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 44 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | alabaster | 0.7.13 | indirekt |
| PyPI | babel | 2.15.0 | indirekt |
| PyPI | beautifulsoup4 | 4.12.3 | indirekt |
| PyPI | certifi | 2024.7.4 | indirekt |
| PyPI | charset-normalizer | 3.3.2 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | docutils | 0.20.1 | indirekt |
| PyPI | eth-hash | 0.7.0 | indirekt |
| PyPI | exceptiongroup | 1.2.1 | indirekt |
| PyPI | furo | 2024.8.6 | indirekt |
| PyPI | idna | 3.7 | indirekt |
| PyPI | imagesize | 1.4.1 | indirekt |
| PyPI | importlib-metadata | 8.0.0 | indirekt |
| PyPI | iniconfig | 2.0.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | markdown-it-py | 3.0.0 | indirekt |
| PyPI | markupsafe | 2.1.5 | indirekt |
| PyPI | mdit-py-plugins | 0.4.1 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | myst-parser | 3.0.1 | indirekt |
| PyPI | nodeenv | 1.9.1 | indirekt |
| PyPI | packaging | 24.1 | indirekt |
| PyPI | pluggy | 1.5.0 | indirekt |
| PyPI | pycryptodome | 3.20.0 | indirekt |
| PyPI | pygments | 2.18.0 | indirekt |
| PyPI | pypandoc-binary | 1.13 | indirekt |
| PyPI | pyright | 1.1.378 | indirekt |
| PyPI | pytest | 8.3.2 | indirekt |
| PyPI | pyyaml | 6.0.1 | indirekt |
| PyPI | requests | 2.32.4 | indirekt |
| PyPI | ruff | 0.6.3 | indirekt |
| PyPI | snowballstemmer | 2.2.0 | indirekt |
| PyPI | soupsieve | 2.5 | indirekt |
| PyPI | sphinx | 7.1.2 | indirekt |
| PyPI | sphinx-basic-ng | 1.0.0b2 | indirekt |
| PyPI | sphinxcontrib-applehelp | 1.0.4 | indirekt |
| PyPI | sphinxcontrib-devhelp | 1.0.2 | indirekt |
| PyPI | sphinxcontrib-htmlhelp | 2.0.1 | indirekt |
| PyPI | sphinxcontrib-jsmath | 1.0.1 | indirekt |
| PyPI | sphinxcontrib-qthelp | 1.0.3 | indirekt |
| PyPI | sphinxcontrib-serializinghtml | 1.1.5 | indirekt |
| PyPI | tomli | 2.0.1 | indirekt |
| PyPI | urllib3 | 2.2.2 | indirekt |
| PyPI | zipp | 3.19.2 | indirekt |
Abhängigkeits-Advisories 6
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 44 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 6 tragen bekannte Advisories, davon 0 direkte.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| soupsieve | 2.5 | indirekt | hoch | 4 | 2.8.4 |
| urllib3 | 2.2.2 | indirekt | hoch | 12 | 2.7.0 |
| idna | 3.7 | indirekt | mittel | 2 | 3.15 |
| pytest | 8.3.2 | indirekt | mittel | 2 | 9.0.3 |
| requests | 2.32.4 | indirekt | mittel | 2 | 2.33.0 |
| pygments | 2.18.0 | indirekt | niedrig | 2 | 2.20.0 |
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"headline": "Merge pull request #365 from python-validators/dependabot/pip/package…",
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"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "32 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 44 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.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"no_advisories_left_outstanding"
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 44
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
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"advisories": 24,
"affected_packages": 6,
"assessed_packages": 44,
"unassessed_packages": 0,
"affected_by_severity": "high 2, moderate 3, low 1",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 44,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "moderate",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 50,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": true,
"exposures": [
{
"role": "top_contributor",
"count": 1,
"country": "Russia"
}
],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 13
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "Russia: top_contributor (1)",
"points": 50,
"status": "partial",
"details": [
{
"code": "jurisdiction_exposure",
"params": {
"role": "top_contributor",
"count": 1,
"country": "Russia"
}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 61,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.848,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "78 of 92 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 78,
"sampled": 92
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 69,
"inputs": {
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"has_tests": true,
"lockfiles": [
"pdm.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [
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"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0.08
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docs/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "src/validators/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "src/validators/py.typed"
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}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "8 of the last 100 commits are automated dependency updates",
"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
"params": {
"count": 8,
"sampled": 100
}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 14979,
"source_files_sampled": 64,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (src/validators/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "src/validators/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/64 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 64,
"oversized": 0
}
}
],
"max_points": 55
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-21T21:11:45.564657Z",
"schema_version": "0.23.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/python-validators/validators.svg",
"full_name": "python-validators/validators",
"license_state": "standard",
"license_spdx": "MIT"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.23.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.