Öffentliches Register
Software-GesundheitsberichtSchema 0.17.0 · Metriken 1.13.0 · 2026-07-21 07:32 UTC

se2p / pynguin

The PYthoN General UnIt Test geNerator is a test-generation tool for Python

PythonMIT★ 1.385 Sterne⑂ 98 Forksseit Juli 2020Auf GitHub ansehen ↗

se2p/pynguin erreicht einen Gesundheitsindex von 77 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (96/100) ab, am schwächsten bei Security (40/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

77
gesamt / 100
Gut

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

77
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

44 Follower71 öffentliche Reposseit Apr. 2018

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIpynguin0.46.07.04061vor 0 Tagenunit-testrandom-testingsearch-basedtest-generation

Metriken nach Kategorie

Vitalität

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

92Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
29.1/36Commit-Rhythmus — 42/52 Wochen mit Commits
18/18Commit-Volumen — 814 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year814
human_commit_share
days_since_last_push0
active_weeks_last_year42
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 62 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 85,2 Tage
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Verwendete Eingangsdaten
releases_count62
latest_release_tag0.46.0
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases85,2

Community & Verbreitung

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

76Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
51/60Stars — 1.385 Stars
16.6/25Forks — 98 Forks
7.6/15Watcher — 24 Watcher
Verwendete Eingangsdaten
forks98
stars1.385
watchers24
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein
Wie die Bewertung erfolgt
51.3/80Downloads pro Monat — 7.040 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespynguin
dependents
ecosystemspypi
total_downloads
monthly_downloads7.040
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?

74Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
15.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 32 % der Commits
13.5/13.5Breite der Beitragenden — 21 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 11 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled21
top_contributor_share0,319
Wie die Bewertung erfolgt
43.3/46.8Issue-Lösungsquote — 93 % der Issues geschlossen
29.3/38.3PR-Annahme — 46/60 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs46
open_issues6
closed_issues75
issue_closed_ratio0,926
closed_unmerged_prs14
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11.9/25Reichweite des Inhabers — 44 Follower von se2p
25/25Kontohistorie — 71 öffentliche Repos, Kontoalter ca. 8 Jahre
Verwendete Eingangsdaten
followers44
owner_typeOrganization
is_verified
owner_loginse2p
public_repos71
account_age_days3.007

Paketpflege

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

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

96Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfigja
has_linter_configja
has_precommit_configja
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://www.pynguin.eu
10/10Repository-Beschreibung
10/10Topics — 5 Topics
0/10Wiki
Verwendete Eingangsdaten
topicspython, testing-tools, test-generation, test-generator, search-based-software-testing
has_wikinein
homepagehttps://www.pynguin.eu
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

40Gefährdet · 16 % des Gesamtindex

Sicherheitslage

40Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 11 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 16 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests. Die verbleibenden Gewichte wurden renormalisiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

66Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.md, docker/AGENTS.md, docs/AGENTS.md, src/AGENTS.md, src/pynguin/analyses/AGENTS.md, src/pynguin/assertion/AGENTS.md, src/pynguin/assertion/mutation_analysis/AGENTS.md, src/pynguin/assertion/mutation_analysis/operators/AGENTS.md, src/pynguin/ga/AGENTS.md, src/pynguin/ga/algorithms/AGENTS.md, src/pynguin/ga/operators/AGENTS.md, src/pynguin/instrumentation/AGENTS.md, src/pynguin/instrumentation/version/AGENTS.md, src/pynguin/large_language_model/AGENTS.md, src/pynguin/large_language_model/helpers/AGENTS.md, src/pynguin/large_language_model/parsing/AGENTS.md, src/pynguin/large_language_model/prompts/AGENTS.md, src/pynguin/master_worker/AGENTS.md, src/pynguin/resources/AGENTS.md, src/pynguin/slicer/AGENTS.md, src/pynguin/testcase/AGENTS.md, src/pynguin/utils/AGENTS.md, src/pynguin/utils/generic/AGENTS.md, src/pynguin/utils/pynguinml/AGENTS.md, src/pynguin/utils/statistics/AGENTS.md, tests/AGENTS.md, tests/assertion/AGENTS.md, tests/assertion/mutation_analysis/operators/AGENTS.md, tests/fixtures/AGENTS.md, tests/fixtures/examples/AGENTS.md, tests/fixtures/instrumentation/AGENTS.md, tests/ga/AGENTS.md, tests/instrumentation/AGENTS.md, tests/testcase/AGENTS.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.md, docker/AGENTS.md, docs/AGENTS.md, src/AGENTS.md, src/pynguin/analyses/AGENTS.md, src/pynguin/assertion/AGENTS.md, src/pynguin/assertion/mutation_analysis/AGENTS.md, src/pynguin/assertion/mutation_analysis/operators/AGENTS.md, src/pynguin/ga/AGENTS.md, src/pynguin/ga/algorithms/AGENTS.md, src/pynguin/ga/operators/AGENTS.md, src/pynguin/instrumentation/AGENTS.md, src/pynguin/instrumentation/version/AGENTS.md, src/pynguin/large_language_model/AGENTS.md, src/pynguin/large_language_model/helpers/AGENTS.md, src/pynguin/large_language_model/parsing/AGENTS.md, src/pynguin/large_language_model/prompts/AGENTS.md, src/pynguin/master_worker/AGENTS.md, src/pynguin/resources/AGENTS.md, src/pynguin/slicer/AGENTS.md, src/pynguin/testcase/AGENTS.md, src/pynguin/utils/AGENTS.md, src/pynguin/utils/generic/AGENTS.md, src/pynguin/utils/pynguinml/AGENTS.md, src/pynguin/utils/statistics/AGENTS.md, tests/AGENTS.md, tests/assertion/AGENTS.md, tests/assertion/mutation_analysis/operators/AGENTS.md, tests/fixtures/AGENTS.md, tests/fixtures/examples/AGENTS.md, tests/fixtures/instrumentation/AGENTS.md, tests/ga/AGENTS.md, tests/instrumentation/AGENTS.md, tests/testcase/AGENTS.md
agent_instruction_max_bytes19.887
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespoetry.lock
has_dockerfileja
typed_languagenein
bootstrap_filesMakefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
54.2/55Handhabbare Dateigrößen — 8/556 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes97.129
source_files_sampled556
oversized_source_files8
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

1.385GitHub-Sterne
21Mitwirkende
814Commits, letzte 12 Monate
0Tage seit letztem Push
62Releases
2Bus-Faktor
6offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:pynguin@0.46.0; advisories assessed against the repository dependency graph instead

Weitere Details

Stern- und Fork-Verlauf 1.385 ★ / 0 ⇿
1.385Sterne

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.

6008001.0001.2001.4001.3852762021-062023-122026-07

Jeder Punkt umfasst 5 Tage.

OpenSSF Scorecard 4.0 / 10
4.0Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-21 07:32 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities16 existing vulnerabilities detected
Direkte Abhängigkeiten 26
RegistryPaketVersionsvorgabeManifest
PyPIastroid^4.0.1pyproject.toml
PyPIblack^25.1.0pyproject.toml
PyPIbytecode0.17.0pyproject.toml
PyPIdill^0.4.0pyproject.toml
PyPIJinja2^3.1.6pyproject.toml
PyPInetworkx^3.4.2pyproject.toml
PyPImultiprocess^0.70.18pyproject.toml
PyPIrich^14.0.0pyproject.toml
PyPIPygments^2.19.2pyproject.toml
PyPIpytest^8.3.5pyproject.toml
PyPIsimple-parsing^0.1.7pyproject.toml
PyPItyping_inspect^0.9.0pyproject.toml
PyPIasciitree^0.3.3pyproject.toml
PyPIlibcst^1.7.0pyproject.toml
PyPIsetuptools^80.9.0pyproject.toml
PyPItoml^0.10.2pyproject.toml
PyPIpsutil^7.1.1pyproject.toml
PyPIrstr^3.2.2pyproject.toml
PyPIopenai^1.72.0pyproject.toml
PyPIpython-dotenv^1.0.0pyproject.toml
PyPInumpy^1.26.4pyproject.toml
PyPImypy^1.15.0pyproject.toml
PyPItyping-extensions^4.12.2pyproject.toml
PyPIfaker^37.3.0pyproject.toml
PyPIfandango-fuzzer^0.8.2pyproject.toml
PyPIxmltodict^0.14.2pyproject.toml
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 32% of commits",
                "points": 15.3,
                "status": "partial",
                "details": [
                  {
                    "code": "top_contributor_share",
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                      "share": 32
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                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "21 contributors",
                "points": 13.5,
                "status": "met",
                "details": [
                  {
                    "code": "contributors_sampled",
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                      "count": 21
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                ],
                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
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                "detail": "project has 11 contributing companies or organizations",
                "points": 10,
                "status": "met",
                "details": [],
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            ]
          },
          {
            "key": "responsiveness",
            "band": "good",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
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              "merged_prs": 46,
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              "closed_issues": 75,
              "issue_closed_ratio": 0.926,
              "closed_unmerged_prs": 14
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            "components": [
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                "key": "issue_resolution",
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                "detail": "93% of issues closed",
                "points": 43.3,
                "status": "partial",
                "details": [
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                    "code": "issues_closed_share",
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                      "share": 93
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                ],
                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "46/60 decided PRs merged",
                "points": 29.3,
                "status": "partial",
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
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            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 67,
            "inputs": {
              "followers": 44,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "se2p",
              "public_repos": 71,
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            "components": [
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                "key": "ownership_backing",
                "name": "Ownership backing",
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                "status": "met",
                "details": [
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                    "code": "owner_organization",
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                ],
                "max_points": 30
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              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "44 followers of se2p",
                "points": 11.9,
                "status": "partial",
                "details": [
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                    "code": "owner_followers",
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                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "71 public repos, account ~8 yr old",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "public_repos",
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                      "count": 71
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                  },
                  {
                    "code": "account_age_years",
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                      "years": 8
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                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
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            "inputs": {
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 0
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            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
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                    "code": "packages_published",
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                "max_points": 25
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              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 0 days ago",
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                "details": [
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                "max_points": 35
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                "key": "version_history",
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                "points": 20,
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                "details": [
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                      "count": 61
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                  }
                ],
                "max_points": 20
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              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
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                    "code": "package_not_deprecated",
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                ],
                "max_points": 20
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
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        "weight": 0.2,
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            "key": "engineering_practices",
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                "code": "excluded_no_data",
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              },
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                "code": "weights_renormalized",
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            "value": 100,
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            "components": [
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                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "2 workflow(s)",
                "points": 24,
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                "details": [
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                    "code": "ci_workflows",
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                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
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                "points": 24,
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              {
                "key": "linter_config",
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                "key": "pre_commit_hooks",
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                "detail": null,
                "points": 9.6,
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                "max_points": 9.6
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              {
                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
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                ],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
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            "components": [
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              {
                "key": "documentation_directory",
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                "detail": null,
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              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
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                "points": 15,
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              {
                "key": "repository_description",
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                "key": "topics",
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                "key": "wiki",
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                "detail": null,
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
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            "key": "security_posture",
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            "components": [
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                "key": "binary_artifacts",
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                "key": "branch_protection",
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                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
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                "points": 0,
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                "key": "code_review",
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                "key": "contributors",
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                "key": "dangerous_workflow",
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                "key": "dependency_update_tool",
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                "points": 0,
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "pinned_dependencies",
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              {
                "key": "sast",
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                "points": 0,
                "status": "missed",
                "details": [],
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              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
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                "key": "signed_releases",
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                "key": "token_permissions",
                "name": "Token-Permissions",
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                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "16 existing vulnerabilities detected",
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            ],
            "value": 100,
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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        "key": "ai_readiness",
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        "value": 66,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "value": 75,
            "inputs": {
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        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
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  },
  "warnings": [
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "deps.dev does not index pypi:pynguin@0.46.0; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T07:32:29.761877Z",
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}

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 v0.17.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.