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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 08:41 UTC

ietf-tools / iddiff

Internet-Draft (ID) diff tool.

PythonEigene Lizenz★ 9 Sterne⑂ 8 Forksseit Okt. 2021Auf GitHub ansehen ↗

ietf-tools/iddiff erreicht einen Gesundheitsindex von 53 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (65/100) ab, am schwächsten bei AI Readiness (39/100). Zuletzt vor 100 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

53
gesamt / 100
Mittel

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.

53
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

IETF ToolsOrganisation
958 Follower127 öffentliche Reposseit Apr. 2019

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIiddiff0.5.1-11vor 100 Tagenietfrfcidinternet-draftdiff

Metriken nach Kategorie

Vitalität

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

42Gefährdet · 22 % des Gesamtindex
Wie die Bewertung erfolgt
9.9/36Push-Aktualität — letzter Push vor 100 Tagen
1.4/36Commit-Rhythmus — 2/52 Wochen mit Commits
9/18Commit-Volumen — 9 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year9
human_commit_share0,981
days_since_last_push100
active_weeks_last_year2
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 11 Releases veröffentlicht
27/36Release-Aktualität — letztes Release vor 100 Tagen
12.6/27Release-Rhythmus — ein Release etwa alle 180,1 Tage
8/10OpenSSF Scorecard: Signed-Releases — 2 out of the last 2 releases have a total of 2 signed artifacts.
Verwendete Eingangsdaten
releases_count11
latest_release_tagv0.5.1
releases_from_tagsnein
days_since_latest_release100
mean_days_between_releases180,1

Community & Verbreitung

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

49Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
14.6/60Stars — 9 Stars
7/25Forks — 8 Forks
1.7/15Watcher — 3 Watcher
Verwendete Eingangsdaten
forks8
stars9
watchers3
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
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

Nachhaltigkeit & Governance

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

61Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 98 % der Commits
2.7/13.5Breite der Beitragenden — 2 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled2
top_contributor_share0,981
Wie die Bewertung erfolgt
25.5/46.8Issue-Lösungsquote — 55 % der Issues geschlossen
36.2/38.3PR-Annahme — 35/37 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs35
open_issues10
closed_issues12
issue_closed_ratio0,545
closed_unmerged_prs2
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
21.4/25Reichweite des Inhabers — 958 Follower von ietf-tools
25/25Kontohistorie — 127 öffentliche Repos, Kontoalter ca. 7 Jahre
Verwendete Eingangsdaten
followers958
owner_typeOrganization
is_verified
owner_loginietf-tools
public_repos127
account_age_days2.663

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 100 Tagen
20/20Versionshistorie — 11 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesiddiff
ecosystemspypi
any_deprecatednein
min_days_since_publish100

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

65Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — tox.ini
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests — 8 out of 29 merged PRs checked by a CI test -- score normalized to 2
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
10/10Topics — 5 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsietf, rfc, id, internet-draft, diff
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

47Gefährdet · 16 % des Gesamtindex

Sicherheitslage

47Gefährdet
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
0.5/2.5CI-Tests — 8 out of 29 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 4 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
2.2/2.5Lizenz — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3.5/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 2 out of the last 2 releases have a total of 2 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4,7

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.

39Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 41 von 53 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,774
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — tox.ini
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 54
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
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_files
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/4 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes15.666
source_files_sampled4
oversized_source_files0

Eckdaten

9GitHub-Sterne
2Mitwirkende
9Commits, letzte 12 Monate
100Tage seit letztem Push
11Releases
1Bus-Faktor
10offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:iddiff@0.5.1; advisories assessed against the repository dependency graph instead

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 8 ⇿
0Sterne
8Forks
7Releases

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.

12345522022-022022-092023-04
Major 0Minor 4Patch 3

Jeder Punkt umfasst 2 Tage.

OpenSSF Scorecard 4.7 / 10
4.7Gesamtwert

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 · 2026-07-26 08:41 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
2CI-Tests8 out of 29 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
8Signed-Releases2 out of the last 2 releases have a total of 2 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
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 nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess

JSON-Rohbericht maschinenlesbar
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            "reason": "no effort to earn an OpenSSF best practices badge detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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          {
            "name": "Contributors",
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            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
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            "name": "Dependency-Update-Tool",
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            "name": "Fuzzing",
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                "key": "ci_workflows",
                "name": "CI workflows",
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                "points": 24,
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                  {
                    "code": "ci_workflows",
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                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": "tox.ini",
                "points": 16,
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              {
                "key": "openssf_scorecard_ci_tests",
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                "detail": "8 out of 29 merged PRs checked by a CI test -- score normalized to 2",
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            "key": "documentation",
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                "key": "readme",
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                "points": 30,
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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                "key": "repository_description",
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                "detail": null,
                "points": 10,
                "status": "met",
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                "key": "topics",
                "name": "Topics",
                "detail": "5 topics",
                "points": 10,
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                "key": "wiki",
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                "detail": null,
                "points": 10,
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                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "key": "security",
        "band": "at_risk",
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                "key": "fuzzing",
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              {
                "key": "license",
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                "points": 2.2,
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              {
                "key": "maintained",
                "name": "Maintained",
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                "key": "sast",
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                "points": 3.5,
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                "key": "security_policy",
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                "status": "missed",
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                "max_points": 7.5
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              {
                "key": "vulnerabilities",
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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",
        "band": "at_risk",
        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
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                "key": "machine_readable_docs_llms_txt",
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                "key": "automated_maintenance",
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      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:iddiff@0.5.1; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T08:41:37.885367Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/ietf-tools/iddiff.svg",
  "full_name": "ietf-tools/iddiff",
  "license_state": "custom",
  "license_spdx": null
}

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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.

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