Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 02:04 UTC
pallets / jinja
A very fast and expressive template engine.
pallets/jinja erreicht einen Gesundheitsindex von 40 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Community & Adoption (96/100) ab, am schwächsten bei Vitality (26/100). Zuletzt vor 402 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
40
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.
40
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.
Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.
Eigentümerschaft
PalletsOrganisation
2.372 Follower17 öffentliche Reposseit Jan. 2016
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 |
|---|---|---|---|---|---|
| PyPI | Jinja2 | 3.1.6 | 675.999.499 | 52 | vor 503 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
26
Entwicklungsaktivität
5Kritisch
Hinweis auf Verwaisung
Arbeit ist eingegangen, und niemand hat sich darum gekümmert
seit 402 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenunbeantwortete Pull Requestsunbeantwortete Issuesder einzige Betreuer ist abwesendContinuous Integration defektGesamtbewertung: Obergrenze Gefährdet
Stille allein ist nie der Befund — eine kleine, fertige Bibliothek braucht womöglich jahrelang keinen Commit. Dieser Hinweis verlangt beides: lange keinen menschlichen Commit und Pflichten, denen das Projekt sichtbar nicht nachkommt. Automatisierte Commits gelten nicht als Pflege.
Wie Verwaisung bewertet wirdWie die Bewertung erfolgt
| 0/36 | Push-Aktualität — letzter Push vor 402 Tagen |
| 0/36 | Commit-Rhythmus — 0/52 Wochen mit Commits |
| 0/18 | Commit-Volumen — 0 Commits im letzten Jahr |
| 5/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 5 |
Verwendete Eingangsdaten
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 402 |
| active_weeks_last_year | 0 |
Release-Disziplin
57Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 21 Releases veröffentlicht |
| 7.2/36 | Release-Aktualität — letztes Release vor 503 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 154,1 Tage |
| 10/10 | OpenSSF Scorecard: Signed-Releases — 4 out of the last 4 releases have a total of 4 signed artifacts. |
Verwendete Eingangsdaten
| releases_count | 21 |
| latest_release_tag | 3.1.6 |
| releases_from_tags | nein |
| days_since_latest_release | 503 |
| mean_days_between_releases | 154,1 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
96
Popularität & Verbreitung
98Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 11.694 Stars |
| 25/25 | Forks — 1.782 Forks |
| 13.3/15 | Watcher — 249 Watcher |
Verwendete Eingangsdaten
| forks | 1.782 |
| stars | 11.694 |
| watchers | 249 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community-Gesundheit
92Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (BSD-3-Clause) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | ja |
Ökosystem-Verbreitung (Downloads)
100Exzellent
Wie die Bewertung erfolgt
| 80/80 | Downloads pro Monat — 675.999.499 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | Jinja2 |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 675.999.499 |
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?
65
Maintainer-Resilienz (Bus-Faktor)
44Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 11/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 51 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 97 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 95 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 97 |
| top_contributor_share | 0,51 |
Wie die Bewertung erfolgt
| 43.4/46.8 | Issue-Lösungsquote — 93 % der Issues geschlossen |
| 24.4/38.3 | PR-Annahme — 644/1.008 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/18 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 644 |
| open_issues | 77 |
| closed_issues | 1.012 |
| issue_closed_ratio | 0,929 |
| closed_unmerged_prs | 364 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 24.3/25 | Reichweite des Inhabers — 2.372 Follower von pallets |
| 21.1/25 | Kontohistorie — 17 öffentliche Repos, Kontoalter ca. 10 Jahre |
Verwendete Eingangsdaten
| followers | 2.372 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pallets |
| public_repos | 17 |
| account_age_days | 3.838 |
Paketpflege
79Gut
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 14/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 503 Tagen |
| 20/20 | Versionshistorie — 52 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | Jinja2 |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 503 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
84
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 4 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 9 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | ja |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://jinja.palletsprojects.com |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | python, template-engine, jinja, jinja2, templates, pallets |
| has_wiki | nein |
| homepage | https://jinja.palletsprojects.com |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
66
Sicherheitslage
57Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 0/2.5 | CI-Tests — 0 out of 9 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 1/18 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 95 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 |
| 3.8/7.5 | Maintained — 0 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 5 |
| 0/5 | Packaging — keine Daten |
| 4/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 4.5/5 | Security-Policy — security policy file detected |
| 7.5/7.5 | Signed-Releases — 4 out of the last 4 releases have a total of 4 signed artifacts. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 27 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5,7 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 1 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:Jinja2@3.1.6 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 1 Paketen. 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.
57
AI-Agentenkontext & Leitlinien
24Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 23.5/40 | Lesbare Commit-Historie — 44 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,44 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — src/jinja2/py.typed |
| 10/10 | Reproduzierbare Umgebung — devcontainer, lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 8/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | ja |
| has_linter_config | ja |
| typecheck_configs | src/jinja2/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/jinja2/py.typed) |
| 53.2/55 | Handhabbare Dateigrößen — 2/60 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 73.918 |
| source_files_sampled | 60 |
| oversized_source_files | 2 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
11.694GitHub-Sterne
97Mitwirkende
0Commits, letzte 12 Monate
402Tage seit letztem Push
21Releases
1Bus-Faktor
77offene Issues
PyPIPaket-Ökosysteme
Weitere Details
Stern- und Fork-Verlauf 11.694 ★ / 1.782 ⇿
11.694Sterne
1.782Forks
20Releases
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 1Minor 2Patch 15
Jeder Punkt umfasst 8 Tage.
OpenSSF Scorecard 5.7 / 10
5.7Gesamtwert
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 |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 0 | CI-Tests | 0 out of 9 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 1/18 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 95 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 |
| 5 | Maintained | 0 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 5 |
| k. A. | Packaging | packaging workflow not detected |
| 8 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 8 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 9 | Security-Policy | security policy file detected |
| 10 | Signed-Releases | 4 out of the last 4 releases have a total of 4 signed artifacts. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 27 existing vulnerabilities detected |
Direkte Abhängigkeiten 1
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | MarkupSafe | >=3.0 | pyproject.toml |
Alle Abhängigkeiten 1
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 1 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | markupsafe | — | direkt |
Abhängigkeits-Advisories 0
Die Installation von pypi:Jinja2@3.1.6 zieht 1 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
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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"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
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{
"key": "fuzzing",
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},
{
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},
{
"key": "maintained",
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{
"key": "packaging",
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{
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"status": "missed",
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{
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"points": 4.5,
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{
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"points": 7.5,
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{
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
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"max_points": 7.5
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
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"notes": [
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{
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"affected_packages": 0,
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"unassessed_packages": 0,
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"direct_affected_packages": 0
},
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"detail": "no direct dependency carries a known advisory",
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"code": "no_direct_advisories",
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"max_points": 35
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"points": 25,
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"code": "no_indirect_advisories",
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{
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"key": "malicious_dependencies",
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"note": null,
"notes": [],
"value": 100,
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"direct_malicious_packages": 0,
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"installable_malicious_packages": 0
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{
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{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
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]
}
],
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{
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"value": 57,
"weight": 0,
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"status": "missed",
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"params": {}
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{
"key": "machine_readable_docs_llms_txt",
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{
"key": "legible_commit_history",
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]
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{
"key": "automated_tests",
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"points": 22,
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"details": [],
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{
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"points": 11,
"status": "met",
"details": [],
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{
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"status": "met",
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"code": "file_list",
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{
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"points": 10,
"status": "met",
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"max_points": 10
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{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "missed",
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"code": "no_agent_authored_commits",
"params": {
"sampled": 100
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"max_points": 10
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{
"key": "automated_maintenance",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
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{
"key": "openssf_scorecard_pinned_dependencies",
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"points": 8,
"status": "partial",
"details": [],
"max_points": 10
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]
},
{
"key": "ai_code_legibility",
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"note": null,
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"largest_source_bytes": 73918,
"source_files_sampled": 60,
"oversized_source_files": 2
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"components": [
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"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
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"language": "Python"
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],
"max_points": 45
},
{
"key": "manageable_file_sizes",
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"detail": "2/60 source files over 60KB",
"points": 53.2,
"status": "partial",
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{
"code": "oversized_source_files",
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"sampled": 60,
"oversized": 2
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"max_points": 55
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]
},
{
"key": "ai_interfaces",
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"value": 40,
"inputs": {
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"has_mcp_signal": false,
"api_schema_files": []
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"components": [
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "mcp_server",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
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{
"key": "runnable_examples",
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"details": [
{
"code": "file_list",
"params": {
"files": "examples"
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],
"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."
}
],
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},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-22T02:04:08.433468Z",
"schema_version": "0.26.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pallets/jinja.svg",
"full_name": "pallets/jinja",
"license_state": "standard",
"license_spdx": "BSD-3-Clause"
}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 v0.26.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.