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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-14 22:52 UTC

networktocode / pyntc

Python library focused on tasks related to device level and OS management.

PythonEigene Lizenz★ 186 Sterne⑂ 52 Forksseit Dez. 2015Auf GitHub ansehen ↗

networktocode/pyntc erreicht einen Gesundheitsindex von 72 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Sustainability & Governance (82/100) ab, am schwächsten bei AI Readiness (30/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.

72
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.

72
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

Network to CodeOrganisation
546 Follower61 öffentliche Reposseit Juni 2015

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpyntc3.2.08.27439vor 0 Tagen

Metriken nach Kategorie

Vitalität

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

79Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
9/36Commit-Rhythmus — 13/52 Wochen mit Commits
16.6/18Commit-Volumen — 70 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_year70
human_commit_share
days_since_last_push0
active_weeks_last_year13
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 29 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 14,3 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count29
latest_release_tagv3.2.0
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases14,3

Community & Verbreitung

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

55Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
36.8/60Stars — 186 Stars
14.2/25Forks — 52 Forks
7.6/15Watcher — 24 Watcher
Verwendete Eingangsdaten
forks52
stars186
watchers24
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein
Wie die Bewertung erfolgt
52.2/80Downloads pro Monat — 8.274 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespyntc
dependents
ecosystemspypi
total_downloads
monthly_downloads8.274
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?

82Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
36/54Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab
15.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 31 % der Commits
13.5/13.5Breite der Beitragenden — 28 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor3
contributors_sampled28
top_contributor_share0,308
Wie die Bewertung erfolgt
39/46.8Issue-Lösungsquote — 84 % der Issues geschlossen
29.8/38.3PR-Annahme — 253/325 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs253
open_issues13
closed_issues66
issue_closed_ratio0,835
closed_unmerged_prs72
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
19.7/25Reichweite des Inhabers — 546 Follower von networktocode
25/25Kontohistorie — 61 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers546
owner_typeOrganization
is_verified
owner_loginnetworktocode
public_repos61
account_age_days4.033

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 39 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespyntc
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

77Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 20 out of 20 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

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

Sicherheit

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

62Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.5/2.5CI-Tests — 20 out of 20 merged PRs checked by a CI test -- score normalized to 10
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 10 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
2.2/2.5Lizenz — 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
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,2
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection. 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.

30Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespoetry.lock
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
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
51.4/55Handhabbare Dateigrößen — 5/76 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes75.546
source_files_sampled76
oversized_source_files5

Eckdaten

186GitHub-Sterne
28Mitwirkende
70Commits, letzte 12 Monate
0Tage seit letztem Push
29Releases
3Bus-Faktor
13offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 6.2 / 10
6.2Gesamtwert

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 · 2026-07-14 22:51 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests20 out of 20 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direkte Abhängigkeiten 6
RegistryPaketVersionsvorgabeManifest
PyPIf5-sdk^3.0.21pyproject.toml
PyPIjunos-eznc>=2.0,<3.0pyproject.toml
PyPInetmiko>=4.0,<5.0pyproject.toml
PyPIpyeapi>=1.0,<2.0pyproject.toml
PyPIrequests>=2.0,<3.0pyproject.toml
PyPIscp>=0.15,<1.0pyproject.toml
Alle Abhängigkeiten 92

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 86 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIf5-sdk3.0.21direkt
PyPIjunos-eznc2.8.2direkt
PyPInetmiko4.7.0direkt
PyPIpyeapi1.0.4direkt
PyPIrequests2.34.2direkt
PyPIscp0.15.0direkt
PyPIastroid3.3.11indirekt
PyPIattrs23.2.0indirekt
PyPIbabel2.18.0indirekt
PyPIbackrefs5.9indirekt
PyPIbcrypt5.0.0indirekt
PyPIcertifi2026.6.17indirekt
PyPIcffi2.0.0indirekt
PyPIcharset-normalizer3.4.8indirekt
PyPIclick8.4.2indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.15.0indirekt
PyPIcryptography49.0.0indirekt
PyPIdill0.4.1indirekt
PyPIexceptiongroup1.3.1indirekt
PyPIf5-icontrol-rest1.3.13indirekt
PyPIghp-import2.1.0indirekt
PyPIgriffe1.1.1indirekt
PyPIhjson3.1.0indirekt
PyPIhypothesis6.156.1indirekt
PyPIidna3.18indirekt
PyPIiniconfig2.3.0indirekt
PyPIinvoke2.2.1indirekt
PyPIisort6.1.0indirekt
PyPIjinja23.1.6indirekt
PyPIlxml6.1.1indirekt
PyPImarkdown3.10.2indirekt
PyPImarkdown-data-tables1.0.0indirekt
PyPImarkdown-it-py4.2.0indirekt
PyPImarkdown-version-annotations1.0.1indirekt
PyPImarkupsafe3.0.3indirekt
PyPImccabe0.7.0indirekt
PyPImdurl0.1.2indirekt
PyPImergedeep1.3.4indirekt
PyPImkdocs1.6.1indirekt
PyPImkdocs-autorefs1.4.4indirekt
PyPImkdocs-gen-files0.5.0indirekt
PyPImkdocs-get-deps0.2.2indirekt
PyPImkdocs-glightbox0.4.0indirekt
PyPImkdocs-macros-plugin1.3.7indirekt
PyPImkdocs-material9.6.15indirekt
PyPImkdocs-material-extensions1.3.1indirekt
PyPImkdocs-redirects1.2.2indirekt
PyPImkdocs-section-index0.3.10indirekt
PyPImkdocstrings0.27.0indirekt
PyPImkdocstrings-python1.13.0indirekt
PyPImock5.2.0indirekt
PyPIncclient0.7.0indirekt
PyPInetaddr1.3.0indirekt
PyPIntc-templates9.1.0indirekt
PyPIpackaging26.2indirekt
PyPIpaginate0.5.7indirekt
PyPIparamiko4.0.0indirekt
PyPIpathspec1.1.1indirekt
PyPIplatformdirs4.10.0indirekt
PyPIpluggy1.6.0indirekt
PyPIpycparser3.0indirekt
PyPIpygments2.20.0indirekt
PyPIpylint3.3.9indirekt
PyPIpymdown-extensions10.21.3indirekt
PyPIpynacl1.6.2indirekt
PyPIpyparsing3.3.2indirekt
PyPIpyserial3.5indirekt
PyPIpytest9.1.1indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpyyaml6.0.3indirekt
PyPIpyyaml-env-tag1.1indirekt
PyPIrequests-mock1.12.1indirekt
PyPIrich15.0.0indirekt
PyPIruamel-yaml0.19.1indirekt
PyPIruff0.15.20indirekt
PyPIsix1.17.0indirekt
PyPIsortedcontainers2.4.0indirekt
PyPIsuper-collections0.6.2indirekt
PyPItabulate0.9.0indirekt
PyPItermcolor3.3.0indirekt
PyPItextfsm2.1.0indirekt
PyPItoml0.10.2indirekt
PyPItomli2.4.1indirekt
PyPItomlkit0.15.0indirekt
PyPItowncrier24.8.0indirekt
PyPItransitions0.9.3indirekt
PyPItyping-extensions4.16.0indirekt
PyPIurllib32.7.0indirekt
PyPIwatchdog6.0.0indirekt
PyPIyamllint1.38.0indirekt
PyPIyamlloader1.6.0indirekt
JSON-Rohbericht maschinenlesbar
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      "open_issues_and_prs": 15
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      "typecheck_configs": [],
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                "name": "Commit cadence",
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                "key": "commit_volume",
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                "key": "openssf_scorecard_maintained",
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                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 10,
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                "details": [],
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                "key": "ships_releases",
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                    "code": "releases_published",
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                      "count": 29
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                "details": [
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                    "code": "release_recency",
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              {
                "key": "release_cadence",
                "name": "Release cadence",
                "detail": "a release every ~14.3 days",
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                "details": [
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                    "code": "release_cadence",
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                "max_points": 27
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                "key": "openssf_scorecard_signed_releases",
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                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
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                "max_points": 10
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            ]
          },
          {
            "key": "abandonment",
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            "inputs": {
              "cap": null,
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                "key": "project_is_still_maintained",
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                "detail": "maintenance record not established from the collected data",
                "points": 100,
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                    "code": "abandonment_unverified",
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                "max_points": 100
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        ],
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      {
        "key": "community",
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        "name": "Community & Adoption",
        "value": 55,
        "weight": 0.18,
        "metrics": [
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            "key": "popularity",
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            "note": null,
            "notes": [],
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            "components": [
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                "key": "stars",
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                "details": [
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                    "code": "stars",
                    "params": {
                      "count": 186
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                "max_points": 60
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              {
                "key": "forks",
                "name": "Forks",
                "detail": "52 forks",
                "points": 14.2,
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                    "code": "forks",
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                      "count": 52
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                "max_points": 25
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              {
                "key": "watchers",
                "name": "Watchers",
                "detail": "24 watchers",
                "points": 7.6,
                "status": "partial",
                "details": [
                  {
                    "code": "watchers",
                    "params": {
                      "count": 24
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                "max_points": 15
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            ]
          },
          {
            "key": "community_health",
            "band": "at_risk",
            "name": "Community health",
            "note": null,
            "notes": [],
            "value": 44,
            "inputs": {
              "has_readme": true,
              "has_license": true,
              "has_contributing": false,
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              "has_pull_request_template": false
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            "components": [
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                "key": "readme",
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              {
                "key": "license",
                "name": "License",
                "detail": "license file present, not a recognized license",
                "points": 16.9,
                "status": "partial",
                "details": [
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                    "code": "license_custom",
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                "max_points": 22.5
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                "key": "contributing_guide",
                "name": "CONTRIBUTING guide",
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                "status": "missed",
                "details": [],
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                "key": "code_of_conduct",
                "name": "Code of conduct",
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                "key": "issue_template",
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                "key": "pr_template",
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          },
          {
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            "notes": [
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            "value": 65,
            "inputs": {
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              "monthly_downloads": 8274
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                "max_points": 80
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                "key": "registry_dependents",
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                    "code": "not_reported_by_this_ecosystem",
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                "max_points": 20
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        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
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      {
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        "name": "Sustainability & Governance",
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        "weight": 0.24,
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            "note": null,
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                    "code": "top_contributor_share",
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                      "share": 31
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                "max_points": 22.5
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                "key": "contributor_breadth",
                "name": "Contributor breadth",
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                "points": 13.5,
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                    "params": {
                      "count": 28
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                "max_points": 13.5
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                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
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                "points": 10,
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                "details": [],
                "max_points": 10
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          {
            "key": "responsiveness",
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            "note": null,
            "notes": [],
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            "inputs": {
              "merged_prs": 253,
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              "issue_closed_ratio": 0.835,
              "closed_unmerged_prs": 72
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            "components": [
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                "key": "issue_resolution",
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                      "share": 84
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                "max_points": 46.75
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                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "253/325 decided PRs merged",
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                "max_points": 38.25
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                "key": "openssf_scorecard_code_review",
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                "details": [],
                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
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            "note": null,
            "notes": [],
            "value": 75,
            "inputs": {
              "followers": 546,
              "owner_type": "Organization",
              "is_verified": null,
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                "key": "ownership_backing",
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                "key": "verified_domain",
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                "key": "owner_reach",
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                    "code": "account_age_years",
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                "key": "not_deprecated",
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                "max_points": 20
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        ],
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            "components": [
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                "key": "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",
                "name": "Linter config",
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                "key": "pre_commit_hooks",
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                "key": "openssf_scorecard_ci_tests",
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          {
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            "inputs": {
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              {
                "key": "documentation_directory",
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        ],
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            "value": 62,
            "inputs": {
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                "key": "cii_best_practices",
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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",
                "detail": "update tool detected",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 3",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "1 existing vulnerabilities detected",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 7
            },
            "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": "at_risk",
        "name": "AI Readiness",
        "value": 30,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 43,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 3",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 51,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 75546,
              "source_files_sampled": 76,
              "oversized_source_files": 5
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "5/76 source files over 60KB",
                "points": 51.4,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 76,
                      "oversized": 5
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-14T22:52:16.811790Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/networktocode/pyntc.svg",
  "full_name": "networktocode/pyntc",
  "license_state": "custom",
  "license_spdx": null
}

Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.