Öffentliches RegisterExzellent
Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-21 02:21 UTC
data-privacy-stack / presidio
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
data-privacy-stack/presidio erreicht einen Gesundheitsindex von 90 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Security (97/100) ab, am schwächsten bei AI Readiness (70/100). Zuletzt vor 4 Tagen aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
90
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.
90
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
Data Privacy StackOrganisation
17 Follower4 öffentliche Reposseit Apr. 2026
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | presidio | 2.2.363 | 7.606 | 5 | vor 22 Tagen | presidio |
| PyPI | presidio-cliverweist auf ein anderes Repo — nicht bewertet | 0.0.8 | 161 | 6 | vor 1474 Tagen | piichecker |
| PyPI | presidio_analyzer | 2.2.363 | 6.035.634 | 107 | vor 22 Tagen | presidio-analyzer |
| PyPI | presidio_anonymizer | 2.2.363 | 4.438.092 | 43 | vor 22 Tagen | presidio-anonymizer |
| PyPI | presidio_structured | 0.0.7 | - | 7 | vor 22 Tagen | presidio-structured |
| PyPI | presidio-image-redactor | 0.0.59 | - | 23 | vor 22 Tagen | presidio-image-redactor |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
94
Entwicklungsaktivität
96Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 4 Tagen |
| 32.5/36 | Commit-Rhythmus — 47/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 284 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — keine Daten |
Verwendete Eingangsdaten
| commits_last_year | 284 |
| human_commit_share | — |
| days_since_last_push | 4 |
| active_weeks_last_year | 47 |
Release-Disziplin
92Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 48 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 22 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 91,2 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 48 |
| latest_release_tag | 2.2.363 |
| releases_from_tags | nein |
| days_since_latest_release | 22 |
| mean_days_between_releases | 91,2 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
96
Popularität & Verbreitung
96Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 10.090 Stars |
| 25/25 | Forks — 1.211 Forks |
| 10.8/15 | Watcher — 90 Watcher |
Verwendete Eingangsdaten
| forks | 1.211 |
| stars | 10.090 |
| watchers | 90 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
92Exzellent
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 |
| 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 — 10.481.332 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | presidio, presidio_analyzer, presidio_anonymizer, presidio_structured, presidio-image-redactor |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 10.481.332 |
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?
74
Wie die Bewertung erfolgt
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 16.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 28 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — keine Daten |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 100 |
| top_contributor_share | 0,276 |
Wie die Bewertung erfolgt
| 42.7/46.8 | Issue-Lösungsquote — 91 % der Issues geschlossen |
| 29.1/38.3 | PR-Annahme — 1.071/1.408 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — keine Daten |
Verwendete Eingangsdaten
| merged_prs | 1.071 |
| open_issues | 48 |
| closed_issues | 504 |
| issue_closed_ratio | 0,913 |
| closed_unmerged_prs | 337 |
Eigentümerschaft & Trägerschaft
45Gefährdet
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 9/25 | Reichweite des Inhabers — 17 Follower von data-privacy-stack |
| 5.6/25 | Kontohistorie — 4 öffentliche Repos, Kontoalter ca. 0 Jahre |
Verwendete Eingangsdaten
| followers | 17 |
| owner_type | Organization |
| is_verified | — |
| owner_login | data-privacy-stack |
| public_repos | 4 |
| account_age_days | 98 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 5 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 22 Tagen |
| 20/20 | Versionshistorie — 107 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | presidio, presidio_analyzer, presidio_anonymizer, presidio_structured, presidio-image-redactor |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 22 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
95
Engineering-Praktiken
92Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 6 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
100Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://presidio.dataprivacystack.org |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 20 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | python, pii, privacy, data-anonymization, de-identification, data-masking, transformers, pii-detection, data-obfuscation, data-privacy, data-redaction, guardrails, image-redactor, named-entity-recognition, nlp, personally-identifiable-information, phi, sensitive-data, spacy, anonymization |
| has_wiki | ja |
| homepage | https://presidio.dataprivacystack.org |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
97
Sicherheitslage
100Exzellent
Wie die Bewertung erfolgt
| 30/30 | Sicherheitsrichtlinie (SECURITY.md) |
| 25/25 | Dependabot-Konfiguration |
| 0/25 | Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet |
| 20/20 | CodeQL-Workflow |
Verwendete Eingangsdaten
| source | file_signals |
| lockfiles | uv.lock |
| manifests | docs/requirements-docs.txt, e2e-tests/requirements.txt, presidio-analyzer/Pipfile, presidio-analyzer/pyproject.toml, presidio-anonymizer/pyproject.toml, presidio-cli/Pipfile, presidio-cli/pyproject.toml, presidio-image-redactor/pyproject.toml, presidio-structured/pyproject.toml, presidio/pyproject.toml, pyproject.toml |
| has_codeql_workflow | ja |
| has_security_policy | ja |
| has_dependabot_config | ja |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
85Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 10/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: cryptography 46.0.7 (high 7.5) |
| 40/40 | Keine offenen Advisories — kein Advisory ist länger als 90 Tage öffentlich |
Verwendete Eingangsdaten
| source | osv |
| advisories | 1 |
| affected_packages | 1 |
| assessed_packages | 55 |
| unassessed_packages | 0 |
| affected_by_severity | high 1 |
| direct_affected_packages | 0 |
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:presidio@2.2.363 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 55 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.
70
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — .github/copilot-instructions.md |
| 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 | .github/copilot-instructions.md |
| agent_instruction_max_bytes | 26.062 |
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 — presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed |
| 10/10 | Reproduzierbare Umgebung — devcontainer, Dockerfile, 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 — keine Daten |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | ja |
| has_linter_config | ja |
| typecheck_configs | presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/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 (presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed) |
| 54.9/55 | Handhabbare Dateigrößen — 1/468 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 64.127 |
| source_files_sampled | 468 |
| oversized_source_files | 1 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — notebooks, recipes, samples |
Verwendete Eingangsdaten
| example_dirs | notebooks, recipes, samples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
10.090GitHub-Sterne
100Mitwirkende
284Commits, letzte 12 Monate
4Tage seit letztem Push
48Releases
3Bus-Faktor
48offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- pypi package 'presidio-cli' points at a different repository (https://github.com/insightsengineering/presidio-cli); excluded from ecosystem scoring
- OpenSSF Scorecard did not return a usable result (2026/07/21 02:20:02 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
Weitere Details
Direkte Abhängigkeiten 31
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | spacy | (>=3.4.4,!=3.7.0,<4.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | spacy | (>=3.4.4,!=3.7.0,!=3.8.14,<4.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | numpy | (>=1.19.0,<2.5.0) | presidio-analyzer/pyproject.toml |
| PyPI | click | (>=8.1.0,<9.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | regex | (>=2023.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | tldextract | (>=5.3.1,<6.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | pyyaml | (>=6.0.3,<7.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | phonenumbers | (>=9.0.28,<10.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | pydantic | (>=2.12.5,<3.0.0) | presidio-analyzer/pyproject.toml |
| PyPI | cryptography | (>=48.0.1,<49.0.0) | presidio-anonymizer/pyproject.toml |
| PyPI | presidio-analyzer | (>=2.2.0,<3.0.0) | presidio-cli/pyproject.toml |
| PyPI | pyyaml | (>=6.0.0,<7.0.0) | presidio-cli/pyproject.toml |
| PyPI | pathspec | (>=0.9.0,<2.0.0) | presidio-cli/pyproject.toml |
| PyPI | click | (>=8.1.0,<9.0.0) | presidio-cli/pyproject.toml |
| PyPI | pillow | (>=9.0.0,<13.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | pytesseract | (>=0.3.13,<0.4) | presidio-image-redactor/pyproject.toml |
| PyPI | presidio-analyzer | (>=2.2.0,<3.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | matplotlib | (>=3.6.0,<4.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | pydicom | (>=2.3.0,<4.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | pypng | (>=0.20220715.0,<1.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | azure-ai-formrecognizer | (>=3.3.3,<4.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | opencv-python | (>=4.13.0.92,<5.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | python-gdcm | (>=3.0.24.1,<4.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | spacy | (>=3.8.7,<4.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | spacy | (>=3.8.7,!=3.8.14,<4.0.0) | presidio-image-redactor/pyproject.toml |
| PyPI | presidio-analyzer | (>=2.2.0,<3.0.0) | presidio-structured/pyproject.toml |
| PyPI | presidio-anonymizer | (>=2.2.0,<3.0.0) | presidio-structured/pyproject.toml |
| PyPI | pandas | (>=1.5.2,<4.0.0) | presidio-structured/pyproject.toml |
| PyPI | click | (>=8.1.0,<9.0.0) | presidio-structured/pyproject.toml |
| PyPI | presidio-analyzer | (>=2.2.0,<3.0.0) | presidio/pyproject.toml |
| PyPI | presidio-anonymizer | (>=2.2.0,<3.0.0) | presidio/pyproject.toml |
Alle Abhängigkeiten 293
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 42 direkte und 251 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | azure-ai-formrecognizer | 3.3.3 | direkt |
| PyPI | click | 8.4.2 | direkt |
| PyPI | cryptography | 46.0.7 | direkt |
| PyPI | cryptography | 48.0.1 | direkt |
| PyPI | cryptography | 49.0.0 | direkt |
| PyPI | matplotlib | 3.10.9 | direkt |
| PyPI | matplotlib | 3.11.0 | direkt |
| PyPI | numpy | 2.0.2 | direkt |
| PyPI | numpy | 2.2.6 | direkt |
| PyPI | numpy | 2.4.6 | direkt |
| PyPI | opencv-python | 4.13.0.92 | direkt |
| PyPI | pandas | — | direkt |
| PyPI | pandas | 2.3.3 | direkt |
| PyPI | pandas | 3.0.3 | direkt |
| PyPI | pathspec | — | direkt |
| PyPI | pathspec | 1.1.1 | direkt |
| PyPI | phonenumbers | 9.0.33 | direkt |
| PyPI | phonenumbers | 9.0.34 | direkt |
| PyPI | pillow | 12.2.0 | direkt |
| PyPI | pillow | 12.3.0 | direkt |
| PyPI | presidio-analyzer | — | direkt |
| PyPI | presidio-analyzer | 2.2.355 | direkt |
| PyPI | presidio-analyzer | 2.2.359 | direkt |
| PyPI | presidio-analyzer | 2.2.362 | direkt |
| PyPI | presidio-analyzer | 2.2.363 | direkt |
| PyPI | presidio-anonymizer | — | direkt |
| PyPI | presidio-anonymizer | 2.2.355 | direkt |
| PyPI | presidio-anonymizer | 2.2.363 | direkt |
| PyPI | pydantic | 2.13.4 | direkt |
| PyPI | pydantic | 2.9.2 | direkt |
| PyPI | pydicom | 3.0.2 | direkt |
| PyPI | pypng | 0.20220715.0 | direkt |
| PyPI | pytesseract | 0.3.13 | direkt |
| PyPI | python-gdcm | 3.2.6 | direkt |
| PyPI | pyyaml | — | direkt |
| PyPI | pyyaml | 6.0.3 | direkt |
| PyPI | regex | 2026.6.28 | direkt |
| PyPI | regex | 2026.7.10 | direkt |
| PyPI | spacy | 3.8.13 | direkt |
| PyPI | spacy | 3.8.14 | direkt |
| PyPI | spacy | 3.8.2 | direkt |
| PyPI | tldextract | 5.3.1 | direkt |
| PyPI | absl-py | 2.4.0 | indirekt |
| PyPI | absl-py | 2.5.0 | indirekt |
| PyPI | accelerate | 1.14.0 | indirekt |
| PyPI | aiohappyeyeballs | 2.7.1 | indirekt |
| PyPI | aiohttp | 3.14.1 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.14.1 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | azure-ai-textanalytics | — | indirekt |
| PyPI | azure-ai-textanalytics | 5.4.0 | indirekt |
| PyPI | azure-common | 1.1.28 | indirekt |
| PyPI | azure-core | 1.41.0 | indirekt |
| PyPI | azure-health-deidentification | 1.1.0b1 | indirekt |
| PyPI | azure-identity | 1.25.3 | indirekt |
| PyPI | black | — | indirekt |
| PyPI | blinker | 1.9.0 | indirekt |
| PyPI | blis | 1.0.2 | indirekt |
| PyPI | blis | 1.3.3 | indirekt |
| PyPI | build | 1.2.2.post1 | indirekt |
| PyPI | catalogue | 2.0.10 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | cffi | 2.1.0 | indirekt |
| PyPI | cfgv | 3.5.0 | indirekt |
| PyPI | chardet | 7.4.3 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | charset-normalizer | 3.4.9 | indirekt |
| PyPI | cloudpathlib | 0.24.0 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | coloredlogs | 15.0.1 | indirekt |
| PyPI | confection | 0.1.5 | indirekt |
| PyPI | confection | 1.3.3 | indirekt |
| PyPI | configargparse | 1.7 | indirekt |
| PyPI | contourpy | 1.3.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | coverage | 7.14.3 | indirekt |
| PyPI | coverage | 7.15.0 | indirekt |
| PyPI | cuda-bindings | 13.3.1 | indirekt |
| PyPI | cuda-pathfinder | 1.5.6 | indirekt |
| PyPI | cuda-toolkit | 13.0.2 | indirekt |
| PyPI | cuda-toolkit | 13.0.3.0 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | cymem | 2.0.11 | indirekt |
| PyPI | cymem | 2.0.13 | indirekt |
| PyPI | diff-cover | 10.3.0 | indirekt |
| PyPI | distlib | 0.4.3 | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | emoji | 2.15.0 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | fastapi | — | indirekt |
| PyPI | fastapi | 0.129.0 | indirekt |
| PyPI | filelock | 3.29.4 | indirekt |
| PyPI | filelock | 3.29.5 | indirekt |
| PyPI | filelock | 3.29.7 | indirekt |
| PyPI | flair | — | indirekt |
| PyPI | flask | 3.1.3 | indirekt |
| PyPI | flatbuffers | 25.12.19 | indirekt |
| PyPI | fonttools | 4.63.0 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | fsspec | 2026.6.0 | indirekt |
| PyPI | gliner | 0.2.27 | indirekt |
| PyPI | google-api-core | 2.31.0 | indirekt |
| PyPI | google-auth | 2.55.1 | indirekt |
| PyPI | google-auth | 2.55.2 | indirekt |
| PyPI | google-cloud-core | 2.6.0 | indirekt |
| PyPI | google-cloud-storage | 3.12.0 | indirekt |
| PyPI | google-cloud-storage | 3.12.1 | indirekt |
| PyPI | google-crc32c | 1.8.0 | indirekt |
| PyPI | google-genai | 2.10.0 | indirekt |
| PyPI | google-genai | 2.11.0 | indirekt |
| PyPI | google-resumable-media | 2.10.0 | indirekt |
| PyPI | googleapis-common-protos | 1.75.0 | indirekt |
| PyPI | gunicorn | 25.3.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hf-xet | 1.5.1 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | huggingface-hub | 0.36.2 | indirekt |
| PyPI | humanfriendly | 10.0 | indirekt |
| PyPI | identify | 2.6.19 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | isodate | 0.7.2 | indirekt |
| PyPI | itsdangerous | 2.2.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jiter | 0.16.0 | indirekt |
| PyPI | kiwisolver | 1.5.0 | indirekt |
| PyPI | langcodes | 3.5.1 | indirekt |
| PyPI | langextract | 1.5.0 | indirekt |
| PyPI | langextract | 1.6.0 | indirekt |
| PyPI | markdown | — | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mkdocstrings-python | — | indirekt |
| PyPI | ml-collections | 1.1.0 | indirekt |
| PyPI | more-itertools | 11.1.0 | indirekt |
| PyPI | mpmath | 1.3.0 | indirekt |
| PyPI | msal | 1.37.0 | indirekt |
| PyPI | msal-extensions | 1.3.1 | indirekt |
| PyPI | msrest | 0.7.1 | indirekt |
| PyPI | multidict | 6.7.1 | indirekt |
| PyPI | murmurhash | 1.0.12 | indirekt |
| PyPI | murmurhash | 1.0.15 | indirekt |
| PyPI | nbconvert | — | indirekt |
| PyPI | networkx | 3.4.2 | indirekt |
| PyPI | networkx | 3.6.1 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | nvidia-cublas | 13.1.1.3 | indirekt |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirekt |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirekt |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirekt |
| PyPI | nvidia-cudnn-cu13 | 9.20.0.48 | indirekt |
| PyPI | nvidia-cufft | 12.0.0.61 | indirekt |
| PyPI | nvidia-cufile | 1.15.1.6 | indirekt |
| PyPI | nvidia-curand | 10.4.0.35 | indirekt |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirekt |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirekt |
| PyPI | nvidia-cusparselt-cu13 | 0.8.1 | indirekt |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirekt |
| PyPI | nvidia-nvjitlink | 13.0.88 | indirekt |
| PyPI | nvidia-nvjitlink | 13.3.33 | indirekt |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirekt |
| PyPI | nvidia-nvtx | 13.0.85 | indirekt |
| PyPI | oauthlib | 3.3.1 | indirekt |
| PyPI | onnxruntime | 1.23.2 | indirekt |
| PyPI | onnxruntime | 1.27.0 | indirekt |
| PyPI | openai | — | indirekt |
| PyPI | openai | 1.37.1 | indirekt |
| PyPI | openai | 2.44.0 | indirekt |
| PyPI | openai | 2.45.0 | indirekt |
| PyPI | opentelemetry-api | — | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-grpc | — | indirekt |
| PyPI | opentelemetry-sdk | — | indirekt |
| PyPI | packaging | 26.0 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pip | 26.1.2 | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | pre-commit | — | indirekt |
| PyPI | pre-commit | 4.6.0 | indirekt |
| PyPI | preshed | 3.0.13 | indirekt |
| PyPI | preshed | 3.0.9 | indirekt |
| PyPI | presidio-cli | 0.0.9 | indirekt |
| PyPI | presidio-image-redactor | — | indirekt |
| PyPI | presidio-image-redactor | 0.0.59 | indirekt |
| PyPI | presidio-structured | — | indirekt |
| PyPI | presidio-structured | 0.0.7 | indirekt |
| PyPI | propcache | 0.5.2 | indirekt |
| PyPI | proto-plus | 1.28.0 | indirekt |
| PyPI | proto-plus | 1.28.1 | indirekt |
| PyPI | protobuf | 7.35.1 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | pyasn1 | 0.6.3 | indirekt |
| PyPI | pyasn1 | 0.6.4 | indirekt |
| PyPI | pyasn1-modules | 0.4.2 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pygments | — | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyjwt | 2.13.0 | indirekt |
| PyPI | pymdown-extensions | — | indirekt |
| PyPI | pyparsing | 3.3.2 | indirekt |
| PyPI | pyproject-hooks | 1.2.0 | indirekt |
| PyPI | pyreadline3 | 3.5.6 | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | pytest-cov | — | indirekt |
| PyPI | pytest-cov | 7.1.0 | indirekt |
| PyPI | pytest-mock | — | indirekt |
| PyPI | pytest-mock | 3.15.1 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-discovery | 1.4.2 | indirekt |
| PyPI | python-discovery | 1.4.3 | indirekt |
| PyPI | python-discovery | 1.4.4 | indirekt |
| PyPI | python-dotenv | — | indirekt |
| PyPI | python-dotenv | 1.2.2 | indirekt |
| PyPI | pytz | 2026.2 | indirekt |
| PyPI | redis | 5.0.8 | indirekt |
| PyPI | requests | — | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | requests-file | 3.0.1 | indirekt |
| PyPI | requests-oauthlib | 2.0.0 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | ruff | — | indirekt |
| PyPI | ruff | 0.15.20 | indirekt |
| PyPI | ruff | 0.15.21 | indirekt |
| PyPI | ruff | 0.9.2 | indirekt |
| PyPI | safetensors | 0.8.0 | indirekt |
| PyPI | sentencepiece | 0.2.1 | indirekt |
| PyPI | sentencepiece | 0.2.2 | indirekt |
| PyPI | setuptools | 81.0.0 | indirekt |
| PyPI | setuptools | 82.0.1 | indirekt |
| PyPI | setuptools | 83.0.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | smart-open | 7.7.1 | indirekt |
| PyPI | smart-open | 8.0.0 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | spacy-huggingface-pipelines | 0.0.4 | indirekt |
| PyPI | spacy-legacy | 3.0.12 | indirekt |
| PyPI | spacy-loggers | 1.0.5 | indirekt |
| PyPI | srsly | 2.4.8 | indirekt |
| PyPI | srsly | 2.5.3 | indirekt |
| PyPI | st-annotated-text | — | indirekt |
| PyPI | stanza | 1.13.0 | indirekt |
| PyPI | streamlit | — | indirekt |
| PyPI | streamlit-tags | — | indirekt |
| PyPI | sympy | 1.14.0 | indirekt |
| PyPI | tenacity | 9.1.4 | indirekt |
| PyPI | termcolor | 3.3.0 | indirekt |
| PyPI | textual | 0.79.1 | indirekt |
| PyPI | textual-serve | 1.1.1 | indirekt |
| PyPI | thinc | 8.3.13 | indirekt |
| PyPI | thinc | 8.3.2 | indirekt |
| PyPI | tokenizers | 0.22.2 | indirekt |
| PyPI | tomli | 2.4.1 | indirekt |
| PyPI | torch | — | indirekt |
| PyPI | torch | 2.12.1 | indirekt |
| PyPI | torch | 2.13.0 | indirekt |
| PyPI | tqdm | 4.68.3 | indirekt |
| PyPI | tqdm | 4.68.4 | indirekt |
| PyPI | transformers | 4.57.6 | indirekt |
| PyPI | triton | 3.7.1 | indirekt |
| PyPI | typer | 0.26.8 | indirekt |
| PyPI | typer-slim | 0.24.0 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-extensions | 4.16.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2026.2 | indirekt |
| PyPI | tzdata | 2026.3 | indirekt |
| PyPI | udapi | 0.5.2 | indirekt |
| PyPI | udtools | 0.2.8 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | uvicorn | — | indirekt |
| PyPI | uvicorn | 0.30.6 | indirekt |
| PyPI | virtualenv | 21.5.1 | indirekt |
| PyPI | virtualenv | 21.6.1 | indirekt |
| PyPI | waitress | 3.0.2 | indirekt |
| PyPI | wasabi | 1.1.3 | indirekt |
| PyPI | weasel | 0.4.3 | indirekt |
| PyPI | weasel | 1.0.0 | indirekt |
| PyPI | websockets | 16.0 | indirekt |
| PyPI | websockets | 16.1 | indirekt |
| PyPI | werkzeug | 3.1.8 | indirekt |
| PyPI | wrapt | 2.2.2 | indirekt |
| PyPI | yarl | 1.24.2 | indirekt |
| PyPI | zensical | — | indirekt |
Abhängigkeits-Advisories 1
Die Installation von pypi:presidio@2.2.363 zieht 55 Pakete nach sich, direkt und transitiv: 1 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| cryptography | 46.0.7 | indirekt | hoch | 1 | 48.0.1 |
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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"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": "published library — lockfiles are an application concern, not expected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "lockfiles_not_expected",
"params": {}
}
],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 20,
"status": "met",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Matched the pypi:presidio@2.2.363 runtime dependency closure — what installing the published package pulls in — 55 packages. Reachability is not analyzed.",
"notes": [
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:presidio@2.2.363",
"assessed": 55
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 85,
"inputs": {
"source": "osv",
"advisories": 1,
"affected_packages": 1,
"assessed_packages": 55,
"unassessed_packages": 0,
"affected_by_severity": "high 1",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "1 affected: cryptography 46.0.7 (high 7.5)",
"points": 10,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 1,
"packages": "cryptography 46.0.7 (high 7.5)"
}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory has been public longer than 90 days",
"points": 40,
"status": "met",
"details": [
{
"code": "advisories_none_stale",
"params": {
"days": 90
}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 55,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "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": 5
},
"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": "good",
"name": "AI Readiness",
"value": 70,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"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": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
".github/copilot-instructions.md"
],
"agent_instruction_max_bytes": 26062
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": ".github/copilot-instructions.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".github/copilot-instructions.md"
}
}
],
"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": "good",
"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": 74,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": true,
"has_linter_config": true,
"typecheck_configs": [
"presidio-analyzer/presidio_analyzer/py.typed",
"presidio-anonymizer/presidio_anonymizer/py.typed",
"presidio-image-redactor/presidio_image_redactor/py.typed",
"presidio-structured/presidio_structured/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": "presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "devcontainer, Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "devcontainer, Dockerfile, 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": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"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": 64127,
"source_files_sampled": 468,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/468 source files over 60KB",
"points": 54.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 468,
"oversized": 1
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"notebooks",
"recipes",
"samples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "notebooks, recipes, samples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "notebooks, recipes, samples"
}
}
],
"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": [
"pypi package 'presidio-cli' points at a different repository (https://github.com/insightsengineering/presidio-cli); excluded from ecosystem scoring",
"OpenSSF Scorecard did not return a usable result (2026/07/21 02:20:02 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-21T02:21:02.917332Z",
"schema_version": "0.16.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/data-privacy-stack/presidio.svg",
"full_name": "data-privacy-stack/presidio",
"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.