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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-15 02:45 UTC

durandtibo / zenpyre

Utilities for LangChain

PythonBSD-3-Clause★ 0 Sterne⑂ 0 Forksseit Juni 2026Auf GitHub ansehen ↗

durandtibo/zenpyre erreicht einen Gesundheitsindex von 50 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (90/100) ab, am schwächsten bei Community & Adoption (24/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

50
gesamt / 100
Mittel

Software-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.

50
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)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

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.

Eigentümerschaft

Thibaut DurandPersönliches Konto
108 Follower64 öffentliche Reposseit Nov. 2014Borealis AI

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIzenpyre0.0.1a60-61vor 0 Tagenagentlangchain

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

34Gefährdet · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
2.1/36Commit-Rhythmus — 3/52 Wochen mit Commits
18/18Commit-Volumen — 341 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Verwendete Eingangsdaten
commits_last_year341
human_commit_share
days_since_last_push0
active_weeks_last_year3
Wie die Bewertung erfolgt
0/27Liefert Releases aus — keine Releases veröffentlicht
0/36Release-Aktualität — keine Releases
0/27Release-Rhythmus — keine Releases
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

24Kritisch · 18 % des Gesamtindex
Wie die Bewertung erfolgt
0/60Stars — 0 Stars
0/25Forks — 0 Forks
0/15Watcher — 0 Watcher
Verwendete Eingangsdaten
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

57Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 96 % der Commits
4.1/13.5Breite der Beitragenden — 3 Beitragende
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Verwendete Eingangsdaten
bus_factor1
contributors_sampled3
top_contributor_share0,962
Wie die Bewertung erfolgt
23.4/46.8Issue-Lösungsquote — 50 % der Issues geschlossen
38.1/38.3PR-Annahme — 340/341 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs340
open_issues1
closed_issues1
issue_closed_ratio0,5
closed_unmerged_prs1
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
14.6/25Reichweite des Inhabers — 108 Follower von durandtibo
25/25Kontohistorie — 64 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers108
owner_typeUser
is_verified
owner_logindurandtibo
public_repos64
account_age_days4.251
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 61 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packageszenpyre
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

90Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 26 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://durandtibo.github.io/zenpyre/
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepagehttps://durandtibo.github.io/zenpyre/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

41Gefährdet · 16 % des Gesamtindex

Sicherheitslage

41Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2/2.5CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/29 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
0/5Packaging — keine Daten
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 — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,1
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.

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.

66Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
18/45Agentenanweisungen — docs/docs/refs/agents.md (Rumpf)
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_filesdocs/docs/refs/agents.md
agent_instruction_max_bytes46
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — src/zenpyre/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile
has_devcontainernein
has_linter_configja
typecheck_configssrc/zenpyre/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/zenpyre/py.typed)
55/55Handhabbare Dateigrößen — 0/390 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes30.470
source_files_sampled390
oversized_source_files0

Eckdaten

0GitHub-Sterne
3Mitwirkende
341Commits, letzte 12 Monate
0Tage seit letztem Push
0Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 4.1 / 10
4.1Gesamtwert

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).Scorecard v5.5.0 · 2026-07-15 02:45 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
k. A.Packagingpackaging 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
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direkte Abhängigkeiten 8
RegistryPaketVersionsvorgabeManifest
PyPIcoola>=1.1.9a3,<2.0pyproject.toml
PyPIiden>= 0.4.1,<1.0pyproject.toml
PyPIlangchain-core>=1.4,<2.0pyproject.toml
PyPIlangchain>=1.3,<2.0pyproject.toml
PyPIlanggraph>=1.2,<2.0pyproject.toml
PyPIobjectory>=0.3,<1.0pyproject.toml
PyPIpydantic>=2.10,<3.0pyproject.toml
PyPIrich>=15.0,<16.0pyproject.toml
Alle Abhängigkeiten 220

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 8 direkte und 212 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIcoola1.1.9a3direkt
PyPIiden0.4.1direkt
PyPIlangchain1.3.13direkt
PyPIlangchain-core1.4.9direkt
PyPIlanggraph1.2.9direkt
PyPIobjectory0.3.1direkt
PyPIpydantic2.13.4direkt
PyPIrich15.0.0direkt
PyPIaiohappyeyeballs2.7.1indirekt
PyPIaiohttp3.14.1indirekt
PyPIaiosignal1.4.0indirekt
PyPIannotated-doc0.0.4indirekt
PyPIannotated-types0.7.0indirekt
PyPIanthropic0.116.0indirekt
PyPIanyio4.14.1indirekt
PyPIattrs26.1.0indirekt
PyPIbabel2.18.0indirekt
PyPIbackrefs7.0indirekt
PyPIbcrypt5.0.0indirekt
PyPIblack26.5.1indirekt
PyPIbracex3.0indirekt
PyPIbuild1.5.1indirekt
PyPIcertifi2026.6.17indirekt
PyPIcffi2.1.0indirekt
PyPIcfgv3.5.0indirekt
PyPIcharset-normalizer3.4.9indirekt
PyPIchromadb1.5.9indirekt
PyPIclick8.4.2indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.15.0indirekt
PyPIcryptography49.0.0indirekt
PyPIcuda-bindings13.3.1indirekt
PyPIcuda-pathfinder1.5.6indirekt
PyPIcuda-toolkit13.0.3.0indirekt
PyPIdistlib0.4.3indirekt
PyPIdistro1.9.0indirekt
PyPIdocformatter1.7.8indirekt
PyPIdocstring-parser0.18.0indirekt
PyPIduckdb1.5.4indirekt
PyPIdurationpy0.10indirekt
PyPIexceptiongroup1.3.1indirekt
PyPIfaker40.28.1indirekt
PyPIfeu0.7.2indirekt
PyPIfilelock3.29.7indirekt
PyPIfiletype1.2.0indirekt
PyPIflatbuffers25.12.19indirekt
PyPIfrozenlist1.8.0indirekt
PyPIfsspec2026.6.0indirekt
PyPIghp-import2.1.0indirekt
PyPIgitdb4.0.12indirekt
PyPIgitpython3.1.51indirekt
PyPIgoogle-auth2.55.2indirekt
PyPIgoogle-genai2.11.0indirekt
PyPIgoogleapis-common-protos1.75.0indirekt
PyPIgriffelib2.1.0indirekt
PyPIgrpcio1.82.1indirekt
PyPIh110.16.0indirekt
PyPIhf-xet1.5.1indirekt
PyPIhttpcore1.0.9indirekt
PyPIhttptools0.8.0indirekt
PyPIhttpx0.28.1indirekt
PyPIhuggingface-hub1.23.0indirekt
PyPIidentify2.6.19indirekt
PyPIidna3.18indirekt
PyPIimportlib-resources7.1.0indirekt
PyPIiniconfig2.3.0indirekt
PyPIinvoke3.0.3indirekt
PyPIjinja23.1.6indirekt
PyPIjiter0.16.0indirekt
PyPIjoblib1.5.3indirekt
PyPIjsonpatch1.33indirekt
PyPIjsonpointer3.1.1indirekt
PyPIjsonschema4.26.0indirekt
PyPIjsonschema-specifications2025.9.1indirekt
PyPIkubernetes36.0.2indirekt
PyPIlangchain-anthropic1.4.8indirekt
PyPIlangchain-chroma1.1.0indirekt
PyPIlangchain-google-genai4.2.7indirekt
PyPIlangchain-huggingface1.2.2indirekt
PyPIlangchain-ollama1.1.0indirekt
PyPIlangchain-openai1.3.5indirekt
PyPIlangchain-protocol0.0.18indirekt
PyPIlangchain-text-splitters1.1.2indirekt
PyPIlanggraph-checkpoint4.1.1indirekt
PyPIlanggraph-prebuilt1.1.0indirekt
PyPIlanggraph-sdk0.4.2indirekt
PyPIlangsmith0.10.2indirekt
PyPImarkdown3.10.2indirekt
PyPImarkdown-it-py4.2.0indirekt
PyPImarkupsafe3.0.3indirekt
PyPImdurl0.1.2indirekt
PyPImergedeep1.3.4indirekt
PyPImike2.2.0indirekt
PyPImkdocs1.6.1indirekt
PyPImkdocs-autorefs1.4.4indirekt
PyPImkdocs-get-deps0.2.2indirekt
PyPImkdocs-include-markdown-plugin7.3.0indirekt
PyPImkdocs-material9.7.6indirekt
PyPImkdocs-material-extensions1.3.1indirekt
PyPImkdocstrings1.0.6indirekt
PyPImkdocstrings-python2.0.5indirekt
PyPImmh35.2.1indirekt
PyPImpmath1.3.0indirekt
PyPImultidict6.7.1indirekt
PyPImypy-extensions1.1.0indirekt
PyPInarwhals2.23.0indirekt
PyPInetworkx3.6.1indirekt
PyPInetworkx3.4.2indirekt
PyPInodeenv1.10.0indirekt
PyPInumpy2.2.6indirekt
PyPInumpy2.4.6indirekt
PyPInumpy2.5.1indirekt
PyPInvidia-cublas13.1.1.3indirekt
PyPInvidia-cuda-cupti13.0.85indirekt
PyPInvidia-cuda-nvrtc13.0.88indirekt
PyPInvidia-cuda-runtime13.0.96indirekt
PyPInvidia-cudnn-cu139.20.0.48indirekt
PyPInvidia-cufft12.0.0.61indirekt
PyPInvidia-cufile1.15.1.6indirekt
PyPInvidia-curand10.4.0.35indirekt
PyPInvidia-cusolver12.0.4.66indirekt
PyPInvidia-cusparse12.6.3.3indirekt
PyPInvidia-cusparselt-cu130.8.1indirekt
PyPInvidia-nccl-cu132.29.7indirekt
PyPInvidia-nvjitlink13.3.33indirekt
PyPInvidia-nvshmem-cu133.4.5indirekt
PyPInvidia-nvtx13.0.85indirekt
PyPIoauthlib3.3.1indirekt
PyPIollama0.6.2indirekt
PyPIonnxruntime1.27.0indirekt
PyPIopenai2.45.0indirekt
PyPIopentelemetry-api1.43.0indirekt
PyPIopentelemetry-exporter-otlp-proto-common1.43.0indirekt
PyPIopentelemetry-exporter-otlp-proto-grpc1.43.0indirekt
PyPIopentelemetry-proto1.43.0indirekt
PyPIopentelemetry-sdk1.43.0indirekt
PyPIopentelemetry-semantic-conventions0.64b0indirekt
PyPIorjson3.11.9indirekt
PyPIormsgpack1.12.2indirekt
PyPIoverrides7.7.0indirekt
PyPIpackaging26.2indirekt
PyPIpaginate0.5.7indirekt
PyPIpathspec1.1.1indirekt
PyPIplatformdirs4.10.0indirekt
PyPIpluggy1.6.0indirekt
PyPIpolars1.42.1indirekt
PyPIpolars-runtime-321.42.1indirekt
PyPIpre-commit4.6.0indirekt
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PyPIprotobuf7.35.1indirekt
PyPIpyasn10.6.4indirekt
PyPIpyasn1-modules0.4.2indirekt
PyPIpybase641.4.3indirekt
PyPIpycparser3.0indirekt
PyPIpydantic-core2.46.4indirekt
PyPIpydantic-settings2.14.2indirekt
PyPIpygments2.20.0indirekt
PyPIpymdown-extensions11.0.1indirekt
PyPIpyparsing3.3.2indirekt
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PyPIpyproject-hooks1.2.0indirekt
PyPIpyright1.1.411indirekt
PyPIpytest9.1.1indirekt
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PyPIpython-discovery1.4.4indirekt
PyPIpython-dotenv1.2.2indirekt
PyPIpytokens0.4.1indirekt
PyPIpyyaml6.0.3indirekt
PyPIpyyaml-env-tag1.1indirekt
PyPIreferencing0.37.0indirekt
PyPIregex2026.7.10indirekt
PyPIrequests2.34.2indirekt
PyPIrequests-oauthlib2.0.0indirekt
PyPIrequests-toolbelt1.0.0indirekt
PyPIrpds-py2026.6.3indirekt
PyPIruff0.15.21indirekt
PyPIsafetensors0.8.0indirekt
PyPIscikit-learn1.9.0indirekt
PyPIscikit-learn1.7.2indirekt
PyPIscipy1.18.0indirekt
PyPIscipy1.17.1indirekt
PyPIscipy1.15.3indirekt
PyPIsentence-transformers5.6.0indirekt
PyPIsetuptools83.0.0indirekt
PyPIshellingham1.5.4indirekt
PyPIsix1.17.0indirekt
PyPIsmmap5.0.3indirekt
PyPIsniffio1.3.1indirekt
PyPIsympy1.14.0indirekt
PyPItenacity9.1.4indirekt
PyPIthreadpoolctl3.6.0indirekt
PyPItiktoken0.13.0indirekt
PyPItokenizers0.22.2indirekt
PyPItomli2.4.1indirekt
PyPItorch2.13.0indirekt
PyPItqdm4.68.4indirekt
PyPItransformers5.13.1indirekt
PyPItriton3.7.1indirekt
PyPItyper0.26.8indirekt
PyPItyping-extensions4.16.0indirekt
PyPItyping-inspection0.4.2indirekt
PyPItzdata2026.3indirekt
PyPIurllib32.7.0indirekt
PyPIuuid-utils0.17.0indirekt
PyPIuvicorn0.51.0indirekt
PyPIuvloop0.22.1indirekt
PyPIverspec0.1.0indirekt
PyPIvirtualenv21.6.1indirekt
PyPIwatchdog6.0.0indirekt
PyPIwatchfiles1.2.0indirekt
PyPIwcmatch11.0indirekt
PyPIwebsocket-client1.9.0indirekt
PyPIwebsockets15.0.1indirekt
PyPIxdoctest1.3.2indirekt
PyPIxxhash3.8.1indirekt
PyPIyarl1.24.2indirekt
PyPIzenpyre0.0.1a58indirekt
PyPIzstandard0.25.0indirekt
JSON-Rohbericht maschinenlesbar
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                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "project was created within the last 90 days. Please review its contents carefully",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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": "1 existing vulnerabilities detected",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "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": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 2
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "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": 66,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 30,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                "docs/docs/refs/agents.md"
              ],
              "agent_instruction_max_bytes": 46
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "docs/docs/refs/agents.md (stub)",
                "points": 18,
                "status": "partial",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/docs/refs/agents.md"
                    }
                  },
                  {
                    "code": "agent_instructions_stub",
                    "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "excellent",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 86,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "src/zenpyre/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/zenpyre/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/zenpyre/py.typed"
                    }
                  }
                ],
                "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 data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "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": 30470,
              "source_files_sampled": 390,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/zenpyre/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/zenpyre/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/390 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 390,
                      "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": "2026-07-15T02:45:38.596778Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/durandtibo/zenpyre.svg",
  "full_name": "durandtibo/zenpyre",
  "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 v0.11.0 — vollständige Methodik · Metriken-Wiki.

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