Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-21 03:08 UTC
vgrem / office365-rest-python-client
Microsoft 365 & Microsoft Graph Library for Python
vgrem/office365-rest-python-client erreicht einen Gesundheitsindex von 71 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Community & Adoption (88/100) ab, am schwächsten bei AI Readiness (45/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
71
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.
71
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.
Eigentümerschaft
Vadim GremyachevPersönliches Konto
147 Follower4 öffentliche Reposseit Apr. 2012@hiq
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | office365-rest-python-client | 2.6.2 | 16.144.536 | 58 | vor 435 Tagen | git |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
81
Entwicklungsaktivität
90Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 25.6/36 | Commit-Rhythmus — 37/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 899 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 899 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 37 |
Release-Disziplin
68Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 56 Releases veröffentlicht |
| 7.2/36 | Release-Aktualität — letztes Release vor 435 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 45 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 56 |
| latest_release_tag | 2.6.2 |
| releases_from_tags | nein |
| days_since_latest_release | 435 |
| mean_days_between_releases | 45 |
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?
88
Wie die Bewertung erfolgt
| 52.4/60 | Stars — 1.709 Stars |
| 21.4/25 | Forks — 370 Forks |
| 8.4/15 | Watcher — 34 Watcher |
Verwendete Eingangsdaten
| forks | 370 |
| stars | 1.709 |
| watchers | 34 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
85Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | 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 | ja |
| has_pull_request_template | nein |
Ökosystem-Verbreitung (Downloads)
100Exzellent
Wie die Bewertung erfolgt
| 80/80 | Downloads pro Monat — 16.144.536 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | office365-rest-python-client |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 16.144.536 |
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?
57
Maintainer-Resilienz (Bus-Faktor)
35Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 2.4/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 89 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 56 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 56 |
| top_contributor_share | 0,894 |
Wie die Bewertung erfolgt
| 36.7/46.8 | Issue-Lösungsquote — 79 % der Issues geschlossen |
| 34.7/38.3 | PR-Annahme — 164/181 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 1/16 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 164 |
| open_issues | 181 |
| closed_issues | 665 |
| issue_closed_ratio | 0,786 |
| closed_unmerged_prs | 17 |
Eigentümerschaft & Trägerschaft
53Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 15.6/25 | Reichweite des Inhabers — 147 Follower von vgrem |
| 17.1/25 | Kontohistorie — 4 öffentliche Repos, Kontoalter ca. 14 Jahre |
Verwendete Eingangsdaten
| followers | 147 |
| owner_type | User |
| is_verified | — |
| owner_login | vgrem |
| public_repos | 4 |
| account_age_days | 5.223 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
79Gut
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 14/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 435 Tagen |
| 20/20 | Versionshistorie — 58 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | office365-rest-python-client |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 435 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
72
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 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 6 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
60Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 13 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | office365, sdk-python, sharepoint, outlook, microsoft-graph, onedrive, microsoft-teams, teams, onenote, planner, microsoft365, python, hacktoberfest |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
59
Sicherheitslage
49Gefährdet
Wie 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 |
| 0/2.5 | CI-Tests — 0 out of 6 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 1/16 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 17 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 0/7.5 | Vulnerabilities — 35 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,9 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. 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 | 12 |
| 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:office365-rest-python-client@2.6.2 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 12 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.
45
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — office365/py.typed |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 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 | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | office365/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (office365/py.typed) |
| 55/55 | Handhabbare Dateigrößen — 3/5.309 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 107.036 |
| source_files_sampled | 5.309 |
| oversized_source_files | 3 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks, samples |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks, samples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
1.709GitHub-Sterne
56Mitwirkende
899Commits, letzte 12 Monate
0Tage seit letztem Push
56Releases
1Bus-Faktor
181offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.9 / 10
4.9Gesamtwert
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 |
| 0 | CI-Tests | 0 out of 6 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 1/16 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 17 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 0 | Vulnerabilities | 35 existing vulnerabilities detected |
Direkte Abhängigkeiten 4
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | msal | >=1.28,<2 | pyproject.toml |
| PyPI | pytz | >=2021.1 | pyproject.toml |
| PyPI | requests | >=2.32.4,<3 | pyproject.toml |
| PyPI | typing-extensions | >=4.5 | pyproject.toml |
Alle Abhängigkeiten 203
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 197 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | msal | 1.34.0 | direkt |
| PyPI | pytz | 2025.2 | direkt |
| PyPI | requests | 2.32.4 | direkt |
| PyPI | requests | 2.32.5 | direkt |
| PyPI | typing-extensions | 4.13.2 | direkt |
| PyPI | typing-extensions | 4.15.0 | direkt |
| PyPI | adal | 1.2.7 | indirekt |
| PyPI | anyio | 4.12.1 | indirekt |
| PyPI | anyio | 4.13.0 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | argon2-cffi | 25.1.0 | indirekt |
| PyPI | argon2-cffi-bindings | 21.2.0 | indirekt |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirekt |
| PyPI | arrow | 1.4.0 | indirekt |
| PyPI | asttokens | 3.0.1 | indirekt |
| PyPI | astunparse | 1.6.3 | indirekt |
| PyPI | async-lru | 2.0.5 | indirekt |
| PyPI | async-lru | 2.3.0 | indirekt |
| PyPI | attrs | 25.3.0 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | backcall | 0.2.0 | indirekt |
| PyPI | beautifulsoup4 | 4.14.3 | indirekt |
| PyPI | beautifulsoup4 | 4.6.3 | indirekt |
| PyPI | bleach | 6.1.0 | indirekt |
| PyPI | bleach | 6.2.0 | indirekt |
| PyPI | bleach | 6.4.0 | indirekt |
| PyPI | certifi | 2026.1.4 | indirekt |
| PyPI | cffi | 1.17.1 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | charset-normalizer | 3.4.4 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | configparser | 5.0.2 | indirekt |
| PyPI | cryptography | 47.0.0 | indirekt |
| PyPI | cryptography | 48.0.0 | indirekt |
| PyPI | debugpy | 1.8.20 | indirekt |
| PyPI | decorator | 5.3.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | faker | 4.1.8 | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | fqdn | 1.5.1 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | idna | 3.15 | indirekt |
| PyPI | importlib-metadata | 8.5.0 | indirekt |
| PyPI | importlib-metadata | 8.7.1 | indirekt |
| PyPI | importlib-resources | 6.4.5 | indirekt |
| PyPI | iniconfig | 2.1.0 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | ipykernel | 6.29.5 | indirekt |
| PyPI | ipykernel | 6.31.0 | indirekt |
| PyPI | ipykernel | 7.2.0 | indirekt |
| PyPI | ipython | 8.12.3 | indirekt |
| PyPI | ipython | 8.18.1 | indirekt |
| PyPI | ipython | 8.39.0 | indirekt |
| PyPI | ipython | 9.13.0 | indirekt |
| PyPI | ipython-genutils | 0.2.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | ipywidgets | 8.1.8 | indirekt |
| PyPI | isoduration | 20.11.0 | indirekt |
| PyPI | jedi | 0.19.2 | indirekt |
| PyPI | jedi | 0.20.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | json5 | 0.14.0 | indirekt |
| PyPI | jsonpointer | 3.0.0 | indirekt |
| PyPI | jsonpointer | 3.1.1 | indirekt |
| PyPI | jsonschema | 4.23.0 | indirekt |
| PyPI | jsonschema | 4.25.1 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2023.12.1 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter | 1.0.0 | indirekt |
| PyPI | jupyter | 1.1.1 | indirekt |
| PyPI | jupyter-client | 8.6.3 | indirekt |
| PyPI | jupyter-client | 8.8.0 | indirekt |
| PyPI | jupyter-console | 6.6.3 | indirekt |
| PyPI | jupyter-core | 5.8.1 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | jupyter-events | 0.12.1 | indirekt |
| PyPI | jupyter-lsp | 2.3.1 | indirekt |
| PyPI | jupyter-server | 2.18.2 | indirekt |
| PyPI | jupyter-server | 2.20.0 | indirekt |
| PyPI | jupyter-server-terminals | 0.5.4 | indirekt |
| PyPI | jupyterlab | 4.5.9 | indirekt |
| PyPI | jupyterlab-pygments | 0.3.0 | indirekt |
| PyPI | jupyterlab-server | 2.28.0 | indirekt |
| PyPI | jupyterlab-widgets | 3.0.16 | indirekt |
| PyPI | lark | 1.3.1 | indirekt |
| PyPI | markupsafe | 2.1.5 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib-inline | 0.1.7 | indirekt |
| PyPI | matplotlib-inline | 0.2.2 | indirekt |
| PyPI | mistune | 3.3.0 | indirekt |
| PyPI | nbclient | 0.10.1 | indirekt |
| PyPI | nbclient | 0.10.2 | indirekt |
| PyPI | nbclient | 0.10.4 | indirekt |
| PyPI | nbconvert | 7.16.6 | indirekt |
| PyPI | nbconvert | 7.17.1 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | nest-asyncio | 1.6.0 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | notebook | 6.4.12 | indirekt |
| PyPI | notebook-shim | 0.2.4 | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | numpy | 1.24.4 | indirekt |
| PyPI | numpy | 2.0.2 | indirekt |
| PyPI | numpy | 2.2.6 | indirekt |
| PyPI | numpy | 2.4.6 | indirekt |
| PyPI | office365-rest-python-client | 3.0.0 | indirekt |
| PyPI | overrides | 7.7.0 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | pandas | — | indirekt |
| PyPI | pandas | 2.0.3 | indirekt |
| PyPI | pandas | 2.3.3 | indirekt |
| PyPI | pandas | 3.0.3 | indirekt |
| PyPI | pandocfilters | 1.5.1 | indirekt |
| PyPI | parso | 0.8.7 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pickleshare | 0.7.5 | indirekt |
| PyPI | pkgutil-resolve-name | 1.3.10 | indirekt |
| PyPI | platformdirs | 4.3.6 | indirekt |
| PyPI | platformdirs | 4.4.0 | indirekt |
| PyPI | platformdirs | 4.9.6 | indirekt |
| PyPI | pluggy | 1.5.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | prometheus-client | 0.21.1 | indirekt |
| PyPI | prometheus-client | 0.25.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pycparser | 2.23 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pyjwt | 2.10.1 | indirekt |
| PyPI | pyjwt | 2.9.0 | indirekt |
| PyPI | pyproject-fmt | 2.11.1 | indirekt |
| PyPI | pyproject-fmt | 2.2.4 | indirekt |
| PyPI | pyproject-fmt | 2.8.0 | indirekt |
| PyPI | pyproject-fmt-rust | 1.1.6 | indirekt |
| PyPI | pyright | 1.1.408 | indirekt |
| PyPI | pyspnego | 0.11.2 | indirekt |
| PyPI | pyspnego | 0.12.0 | indirekt |
| PyPI | pytest | 8.3.5 | indirekt |
| PyPI | pytest | 8.4.2 | indirekt |
| PyPI | pytest | 9.0.2 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-json-logger | 4.0.0 | indirekt |
| PyPI | python-json-logger | 4.1.0 | indirekt |
| PyPI | pywin32 | 311 | indirekt |
| PyPI | pywinpty | 2.0.14 | indirekt |
| PyPI | pywinpty | 3.0.3 | indirekt |
| PyPI | pyyaml | — | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyzmq | 27.1.0 | indirekt |
| PyPI | qtconsole | 5.6.1 | indirekt |
| PyPI | qtpy | 2.4.3 | indirekt |
| PyPI | referencing | 0.35.1 | indirekt |
| PyPI | referencing | 0.36.2 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | requests-ntlm | 1.3.0 | indirekt |
| PyPI | rfc3339-validator | 0.1.4 | indirekt |
| PyPI | rfc3986-validator | 0.1.1 | indirekt |
| PyPI | rfc3987-syntax | 1.1.0 | indirekt |
| PyPI | rpds-py | 0.20.1 | indirekt |
| PyPI | rpds-py | 0.27.1 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | ruff | 0.14.11 | indirekt |
| PyPI | send2trash | 2.1.0 | indirekt |
| PyPI | setuptools | 82.0.1 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | soupsieve | 2.8.4 | indirekt |
| PyPI | sspilib | 0.2.0 | indirekt |
| PyPI | sspilib | 0.5.0 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | terminado | 0.18.1 | indirekt |
| PyPI | text-unidecode | 1.3 | indirekt |
| PyPI | tinycss2 | 1.2.1 | indirekt |
| PyPI | tinycss2 | 1.4.0 | indirekt |
| PyPI | toml-fmt-common | 1.0.1 | indirekt |
| PyPI | toml-fmt-common | 1.1.0 | indirekt |
| PyPI | tomli | 2.4.0 | indirekt |
| PyPI | tornado | 6.4.2 | indirekt |
| PyPI | tornado | 6.5.5 | indirekt |
| PyPI | traitlets | 5.14.3 | indirekt |
| PyPI | traitlets | 5.15.0 | indirekt |
| PyPI | types-requests | 2.32.0.20241016 | indirekt |
| PyPI | types-requests | 2.32.4.20260107 | indirekt |
| PyPI | tzdata | 2026.2 | indirekt |
| PyPI | uri-template | 1.3.0 | indirekt |
| PyPI | urllib3 | 2.2.3 | indirekt |
| PyPI | urllib3 | 2.6.3 | indirekt |
| PyPI | wcwidth | 0.7.0 | indirekt |
| PyPI | webcolors | 24.11.1 | indirekt |
| PyPI | webcolors | 25.10.0 | indirekt |
| PyPI | webencodings | 0.5.1 | indirekt |
| PyPI | websocket-client | 1.9.0 | indirekt |
| PyPI | widgetsnbextension | 4.0.15 | indirekt |
| PyPI | zipp | 3.20.2 | indirekt |
| PyPI | zipp | 3.23.1 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:office365-rest-python-client@2.6.2 zieht 12 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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"vitality": 81,
"community": 88,
"governance": 57,
"engineering": 72
},
"components": []
},
"categories": [
{
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"name": "Vitality",
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"metrics": [
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"key": "development_activity",
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"name": "Development activity",
"note": null,
"notes": [],
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"inputs": {
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"components": [
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{
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"status": "partial",
"details": [
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"weeks": 37
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{
"key": "openssf_scorecard_maintained",
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"details": [],
"max_points": 10
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]
},
{
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"notes": [
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"code": "excluded_no_data",
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"components": [
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},
{
"code": "weights_renormalized",
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}
],
"value": 68,
"inputs": {
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"latest_release_tag": "2.6.2",
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"days_since_latest_release": 435,
"mean_days_between_releases": 45
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"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "56 releases published",
"points": 27,
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"details": [
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"code": "releases_published",
"params": {
"count": 56
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}
],
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{
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"points": 7.2,
"status": "partial",
"details": [
{
"code": "release_recency",
"params": {
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}
],
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{
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}
],
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{
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"points": 0,
"status": "excluded",
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]
},
{
"key": "abandonment",
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"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "unverified",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
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"components": [
{
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"detail": "maintenance record not established from the collected data",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_unverified",
"params": {}
}
],
"max_points": 100
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]
}
],
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},
{
"key": "community",
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"name": "Community & Adoption",
"value": 88,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
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"note": null,
"notes": [],
"value": 82,
"inputs": {
"forks": 370,
"stars": 1709,
"watchers": 34,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
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"components": [
{
"key": "stars",
"name": "Stars",
"detail": "1,709 stars",
"points": 52.4,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 1709
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "370 forks",
"points": 21.4,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 370
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "34 watchers",
"points": 8.4,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 34
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "excellent",
"name": "Community health",
"note": null,
"notes": [],
"value": 85,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": true,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
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}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 13.5,
"status": "met",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 100,
"inputs": {
"packages": [
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 16144536
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"components": [
{
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"name": "Monthly downloads",
"detail": "16,144,536 downloads/month across pypi",
"points": 80,
"status": "met",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 16144536,
"ecosystems": "pypi"
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}
],
"max_points": 80
},
{
"key": "registry_dependents",
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"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
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},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 57,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "at_risk",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 35,
"inputs": {
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"top_contributor_share": 0.894
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
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}
],
"max_points": 54
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{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 89% of commits",
"points": 2.4,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 89
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}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "56 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 56
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}
],
"max_points": 13.5
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{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 17 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 71,
"inputs": {
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"issue_closed_ratio": 0.786,
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"components": [
{
"key": "issue_resolution",
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"points": 36.7,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 79
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}
],
"max_points": 46.75
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{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "164/181 decided PRs merged",
"points": 34.7,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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}
],
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{
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"points": 0,
"status": "missed",
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]
},
{
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"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 53,
"inputs": {
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"owner_type": "User",
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"owner_login": "vgrem",
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"account_age_days": 5223
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"components": [
{
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"status": "partial",
"details": [
{
"code": "owner_personal",
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}
],
"max_points": 30
},
{
"key": "verified_domain",
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"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
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{
"code": "not_applicable_to_user_accounts",
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}
],
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{
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"points": 15.6,
"status": "partial",
"details": [
{
"code": "owner_followers",
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}
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{
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"points": 17.1,
"status": "partial",
"details": [
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"code": "public_repos",
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},
{
"code": "account_age_years",
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}
],
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
"value": 79,
"inputs": {
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"ecosystems": "pypi",
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"components": [
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"detail": "1 package(s) on pypi",
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"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
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{
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"status": "partial",
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}
],
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{
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}
],
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{
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],
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]
}
],
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{
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"weight": 0.2,
"metrics": [
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"note": null,
"notes": [],
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"inputs": {
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"has_tests": true,
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"components": [
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"status": "met",
"details": [
{
"code": "ci_workflows",
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}
],
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{
"key": "tests_present",
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{
"key": "linter_config",
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{
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{
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{
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]
},
{
"key": "documentation",
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"note": null,
"notes": [],
"value": 60,
"inputs": {
"topics": [
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"onedrive",
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"teams",
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{
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"points": 0,
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{
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"points": 10,
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{
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],
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
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]
}
],
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{
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"value": 59,
"weight": 0.16,
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"notes": [
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"components": [
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},
{
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],
"value": 49,
"inputs": {
"source": "openssf_scorecard",
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"scorecard_version": "v5.5.0",
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},
{
"key": "branch_protection",
"name": "Branch-Protection",
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},
{
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"status": "missed",
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{
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"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
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},
{
"key": "code_review",
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
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"status": "met",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"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
},
{
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"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "35 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
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"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:office365-rest-python-client@2.6.2 runtime dependency closure — what installing the published package pulls in — 12 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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]
}
},
{
"code": "weights_renormalized",
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{
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"assessed": 12
}
},
{
"code": "advisories_reachability",
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}
],
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"advisories": 0,
"affected_packages": 0,
"assessed_packages": 12,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
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"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": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
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"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
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]
},
{
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"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": 12,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
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"key": "no_dependency_reported_as_a_malicious_package",
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]
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{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
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"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 13
},
"components": [
{
"key": "policy_exposure_multiplier",
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"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": "at_risk",
"name": "AI Readiness",
"value": 45,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"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": [
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}
},
{
"code": "weights_renormalized",
"params": {}
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],
"value": 1,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
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"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
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{
"key": "machine_readable_docs_llms_txt",
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"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": "moderate",
"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": [
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}
},
{
"code": "weights_renormalized",
"params": {}
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],
"value": 66,
"inputs": {
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"has_tests": true,
"lockfiles": [
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"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
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"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
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{
"key": "automated_tests",
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"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
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"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "office365/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "office365/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"
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}
],
"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": {
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"largest_source_bytes": 107036,
"source_files_sampled": 5309,
"oversized_source_files": 3
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (office365/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "office365/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "3/5309 source files over 60KB",
"points": 55,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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"sampled": 5309,
"oversized": 3
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],
"max_points": 55
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]
},
{
"key": "ai_interfaces",
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"note": null,
"notes": [],
"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": [],
"max_points": 40
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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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"detail": "examples, notebooks, samples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks, samples"
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}
],
"max_points": 40
}
]
}
],
"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": [],
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"generated_at": "2026-07-21T03:08:56.579961Z",
"schema_version": "0.16.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/v/vgrem/office365-rest-python-client.svg",
"full_name": "vgrem/office365-rest-python-client",
"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 v0.16.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.