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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-31 06:04 UTC

lincc-frameworks / nested-dask

Connector project to enable Dask on Nested-Pandas

PythonMIT★ 6 Sterne⑂ 1 Forkseit Apr. 2024archiviertAuf GitHub ansehen ↗

lincc-frameworks/nested-dask erreicht einen Gesundheitsindex von 22 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Engineering Quality (80/100) ab, am schwächsten bei Vitality (33/100). Das Repository ist archiviert, weitere Wartung ist daher nicht zu erwarten.

22
gesamt / 100
Kritisch

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.

22
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.

Abandonment Policy applies a 40% multiplier to weighted overall health and gives it a ceiling of 29.

Eigentümerschaft

lincc-frameworksOrganisation
36 Follower53 öffentliche Reposseit Juni 2022

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPInested-dask0.3.5-11vor 241 Tagen

Metriken nach Kategorie

Vitalität

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

33Gefährdet · 22 % des Gesamtindex
Wie die Bewertung erfolgt
3.6/36Push-Aktualität — letzter Push vor 241 Tagen
0.7/36Commit-Rhythmus — 1/52 Wochen mit Commits
4.3/18Commit-Volumen — 2 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — project is archived
Verwendete Eingangsdaten
commits_last_year2
human_commit_share0,97
days_since_last_push241
active_weeks_last_year1
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 12 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 241 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 54,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count12
latest_release_tagv0.3.5
releases_from_tagsnein
days_since_latest_release241
mean_days_between_releases54,1
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?

35Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
11.3/60Stars — 6 Stars
0/25Forks — 1 Forks
3.3/15Watcher — 5 Watcher
Verwendete Eingangsdaten
forks1
stars6
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

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

65Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
4.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 79 % der Commits
10.8/13.5Breite der Beitragenden — 8 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled8
top_contributor_share0,786
Wie die Bewertung erfolgt
33.7/46.8Issue-Lösungsquote — 72 % der Issues geschlossen
35.2/38.3PR-Annahme — 47/51 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs47
open_issues12
closed_issues31
issue_closed_ratio0,721
closed_unmerged_prs4
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11.3/25Reichweite des Inhabers — 36 Follower von lincc-frameworks
20.8/25Kontohistorie — 53 öffentliche Repos, Kontoalter ca. 4 Jahre
Verwendete Eingangsdaten
followers36
owner_typeOrganization
is_verified
owner_loginlincc-frameworks
public_repos53
account_age_days1.494

Paketpflege

91Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
26/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 241 Tagen
20/20Versionshistorie — 11 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesnested-dask
ecosystemspypi
any_deprecatednein
min_days_since_publish241

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

80Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 9 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 1 out of 12 merged PRs checked by a CI test -- score normalized to 0
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

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

Sicherheit

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

64Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — 1 out of 12 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — project is archived
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,5
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages26
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:nested-dask@0.3.5 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 26 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.

51Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
17/40Lesbare Commit-Historie — 31 von 97 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,32
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — src/nested_dask/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
8/8Automatisierte Wartung — 3 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_configja
typecheck_configssrc/nested_dask/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,03
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/nested_dask/py.typed)
55/55Handhabbare Dateigrößen — 0/19 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes37.890
source_files_sampled19
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalnein
api_schema_files

Eckdaten

6GitHub-Sterne
8Mitwirkende
2Commits, letzte 12 Monate
241Tage seit letztem Push
12Releases
1Bus-Faktor
12offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Weitere Details

OpenSSF Scorecard 5.5 / 10
5.5Gesamtwert

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 · 2026-07-31 06:04 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests1 out of 12 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 5
RegistryPaketVersionsvorgabeManifest
PyPInested-pandas>=0.3.8,<0.4.0pyproject.toml
PyPInumpypyproject.toml
PyPIdask>=2025.1.0pyproject.toml
PyPIdask>=2025.2.0pyproject.toml
PyPIpyarrowpyproject.toml
Alle Abhängigkeiten 0

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
Abhängigkeits-Advisories 0

Die Installation von pypi:nested-dask@0.3.5 zieht 26 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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        {
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          "login": "jeremykubica",
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          "avatar_url": "https://avatars.githubusercontent.com/u/104161096?v=4"
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          "avatar_url": "https://avatars.githubusercontent.com/u/113376043?v=4"
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        {
          "type": "User",
          "login": "gitosaurus",
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          "avatar_url": "https://avatars.githubusercontent.com/u/6794831?v=4"
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            "name": "Branch-Protection",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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          {
            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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                "key": "openssf_scorecard_code_review",
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            "key": "stewardship",
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            "note": null,
            "notes": [],
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              "followers": 36,
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            "components": [
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                "key": "ownership_backing",
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                "details": [
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                "key": "verified_domain",
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "36 followers of lincc-frameworks",
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                "max_points": 25
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                "key": "track_record",
                "name": "Track record",
                "detail": "53 public repos, account ~4 yr old",
                "points": 20.8,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
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                  {
                    "code": "account_age_years",
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                      "years": 4
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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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              "ecosystems": "pypi",
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            "components": [
              {
                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
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                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 241 days ago",
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                "key": "version_history",
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                "key": "not_deprecated",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
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        "name": "Engineering Quality",
        "value": 80,
        "weight": 0.2,
        "metrics": [
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                "key": "ci_workflows",
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                "detail": "9 workflow(s)",
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                "key": "tests_present",
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                "key": "openssf_scorecard_ci_tests",
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          },
          {
            "key": "documentation",
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              {
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                "key": "documentation_homepage_site",
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                "points": 10,
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            ]
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
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                "key": "branch_protection",
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              {
                "key": "code_review",
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                "key": "contributors",
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                "key": "dangerous_workflow",
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                "points": 10,
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 7.5,
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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              {
                "key": "license",
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                "points": 2.5,
                "status": "met",
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                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
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                "status": "missed",
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                "max_points": 7.5
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              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
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                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
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              {
                "key": "sast",
                "name": "SAST",
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              },
              {
                "key": "security_policy",
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                "key": "signed_releases",
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                "max_points": 7.5
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
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            ]
          },
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            "key": "dependency_advisories",
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            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:nested-dask@0.3.5 runtime dependency closure — what installing the published package pulls in — 26 packages. Reachability is not analyzed.",
            "notes": [
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                "code": "excluded_no_data",
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                "code": "advisories_scope_published",
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            "value": 100,
            "inputs": {
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
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                "max_points": 35
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                "key": "indirect_dependencies_free_of_known_advisories",
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                "key": "no_advisories_left_outstanding",
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                "status": "excluded",
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            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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              "red_flag": false,
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              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
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            "components": [
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                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
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                "details": [
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          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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": [
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            ],
            "value": 100,
            "inputs": {
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            "components": [
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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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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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          {
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            "notes": [],
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              "oversized_source_files": 0
            },
            "components": [
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                "status": "partial",
                "details": [
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                    "code": "typecheck_config_language",
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              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
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                "key": "mcp_server",
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              {
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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": [
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  "generated_at": "2026-07-31T06:04:37.110320Z",
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.