Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-16 22:15 UTC
aio-libs / multidict
The multidict implementation
aio-libs/multidict erreicht einen Gesundheitsindex von 83 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (92/100) ab, am schwächsten bei AI Readiness (76/100). Zuletzt vor 9 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
83
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
83
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
aio-libsOrganisation
1.200 Follower68 öffentliche Reposseit März 2014
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | multidict | 6.7.1 | 563.406.298 | 149 | vor 171 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
81
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 9 Tagen |
| 18/36 | Commit-Rhythmus — 26/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 104 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 104 |
| human_commit_share | — |
| days_since_last_push | 9 |
| active_weeks_last_year | 26 |
Release-Disziplin
89Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 63 Releases veröffentlicht |
| 27/36 | Release-Aktualität — letztes Release vor 171 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 27,9 Tage |
| 8/10 | OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
Verwendete Eingangsdaten
| releases_count | 63 |
| latest_release_tag | v6.7.1 |
| releases_from_tags | nein |
| days_since_latest_release | 171 |
| mean_days_between_releases | 27,9 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
87
Popularität & Verbreitung
67Mittel
Wie die Bewertung erfolgt
| 43.6/60 | Stars — 491 Stars |
| 17.5/25 | Forks — 128 Forks |
| 6.2/15 | Watcher — 14 Watcher |
Verwendete Eingangsdaten
| forks | 128 |
| stars | 491 |
| watchers | 14 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
100Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 7.2/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | ja |
| has_code_of_conduct | ja |
| has_pull_request_template | ja |
Ökosystem-Verbreitung (Downloads)
100Exzellent
Wie die Bewertung erfolgt
| 80/80 | Downloads pro Monat — 563.406.298 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | multidict |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 563.406.298 |
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?
79
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 16.2/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 28 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 63 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 60 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 63 |
| top_contributor_share | 0,278 |
Wie die Bewertung erfolgt
| 43.9/46.8 | Issue-Lösungsquote — 94 % der Issues geschlossen |
| 30.3/38.3 | PR-Annahme — 921/1.164 entschiedene PRs gemergt |
| 6/15 | OpenSSF Scorecard: Code-Review — Found 7/15 approved changesets -- score normalized to 4 |
Verwendete Eingangsdaten
| merged_prs | 921 |
| open_issues | 11 |
| closed_issues | 166 |
| issue_closed_ratio | 0,938 |
| closed_unmerged_prs | 243 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 22.1/25 | Reichweite des Inhabers — 1.200 Follower von aio-libs |
| 25/25 | Kontohistorie — 68 öffentliche Repos, Kontoalter ca. 12 Jahre |
Verwendete Eingangsdaten
| followers | 1.200 |
| owner_type | Organization |
| is_verified | — |
| owner_login | aio-libs |
| public_repos | 68 |
| account_age_days | 4.497 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 171 Tagen |
| 20/20 | Versionshistorie — 149 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | multidict |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 171 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
92
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 5 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .flake8 |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://multidict.aio-libs.org |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 4 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | aiohttp, multidict, headers, hacktoberfest |
| has_wiki | nein |
| homepage | https://multidict.aio-libs.org |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
78
Sicherheitslage
78Gut
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3/7.5 | Code-Review — Found 7/15 approved changesets -- score normalized to 4 |
| 2.5/2.5 | Contributors — project has 60 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 5/5 | Fuzzing — project is fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 6/7.5 | Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 7,8 |
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.
76
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, CLAUDE.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 20.340 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile, docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .flake8 |
| 11/11 | Statische Typprüfung — .mypy.ini, multidict/py.typed |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | Makefile, docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | .mypy.ini, multidict/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (.mypy.ini, multidict/py.typed) |
| 53.8/55 | Handhabbare Dateigrößen — 1/44 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 74.115 |
| source_files_sampled | 44 |
| oversized_source_files | 1 |
Eckdaten
491GitHub-Sterne
63Mitwirkende
104Commits, letzte 12 Monate
9Tage seit letztem Push
63Releases
2Bus-Faktor
11offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 7.8 / 10
7.8Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| k. A. | Branch-Protection | internal 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 |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 4 | Code-Review | Found 7/15 approved changesets -- score normalized to 4 |
| 10 | Contributors | project has 60 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 10 | Fuzzing | project is fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 10 | Security-Policy | security policy file detected |
| 8 | Signed-Releases | 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 1
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | typing-extensions | >= 4.1.0 | setup.cfg |
Alle Abhängigkeiten 130
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 130 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | aarch | — | indirekt |
| PyPI | aarch64 | — | indirekt |
| PyPI | aiohttp | — | indirekt |
| PyPI | args | — | indirekt |
| PyPI | armv | — | indirekt |
| PyPI | async | — | indirekt |
| PyPI | autocalculated | — | indirekt |
| PyPI | autodetection | — | indirekt |
| PyPI | autogenerates | — | indirekt |
| PyPI | autogeneration | — | indirekt |
| PyPI | backend | — | indirekt |
| PyPI | basename | — | indirekt |
| PyPI | bugfixes | — | indirekt |
| PyPI | cchardet | — | indirekt |
| PyPI | cffi | — | indirekt |
| PyPI | changelog | — | indirekt |
| PyPI | charset | — | indirekt |
| PyPI | charsetdetect | — | indirekt |
| PyPI | cibuildwheel | — | indirekt |
| PyPI | codecov | — | indirekt |
| PyPI | cpython | — | indirekt |
| PyPI | criterias | — | indirekt |
| PyPI | css | — | indirekt |
| PyPI | ctor | — | indirekt |
| PyPI | ctrl | — | indirekt |
| PyPI | cython | — | indirekt |
| PyPI | deallocation | — | indirekt |
| PyPI | decrementation | — | indirekt |
| PyPI | deprecations | — | indirekt |
| PyPI | dev | — | indirekt |
| PyPI | dict | — | indirekt |
| PyPI | dists | — | indirekt |
| PyPI | docstring | — | indirekt |
| PyPI | docstrings | — | indirekt |
| PyPI | downstreams | — | indirekt |
| PyPI | eof | — | indirekt |
| PyPI | fallback | — | indirekt |
| PyPI | fastpath | — | indirekt |
| PyPI | filename | — | indirekt |
| PyPI | formatters | — | indirekt |
| PyPI | frontend | — | indirekt |
| PyPI | gcc | — | indirekt |
| PyPI | getitem | — | indirekt |
| PyPI | github | — | indirekt |
| PyPI | — | indirekt | |
| PyPI | gunicorn | — | indirekt |
| PyPI | i686 | — | indirekt |
| PyPI | indices | — | indirekt |
| PyPI | inplace | — | indirekt |
| PyPI | ionaries | — | indirekt |
| PyPI | ip | — | indirekt |
| PyPI | ipv | — | indirekt |
| PyPI | ish | — | indirekt |
| PyPI | istr | — | indirekt |
| PyPI | iterable | — | indirekt |
| PyPI | iterables | — | indirekt |
| PyPI | javascript | — | indirekt |
| PyPI | json | — | indirekt |
| PyPI | keepalive | — | indirekt |
| PyPI | keepalives | — | indirekt |
| PyPI | keepaliving | — | indirekt |
| PyPI | lockfile | — | indirekt |
| PyPI | lookups | — | indirekt |
| PyPI | macos | — | indirekt |
| PyPI | manylinux | — | indirekt |
| PyPI | middleware | — | indirekt |
| PyPI | middlewares | — | indirekt |
| PyPI | multidict | — | indirekt |
| PyPI | multidicts | — | indirekt |
| PyPI | multipart | — | indirekt |
| PyPI | mypy | — | indirekt |
| PyPI | nikolay | — | indirekt |
| PyPI | objgraph | 3.6.2 | indirekt |
| PyPI | param | — | indirekt |
| PyPI | params | — | indirekt |
| PyPI | performant | — | indirekt |
| PyPI | pickable | — | indirekt |
| PyPI | pickleable | — | indirekt |
| PyPI | ppc64le | — | indirekt |
| PyPI | pre | — | indirekt |
| PyPI | pre-commit | 4.6.0 | indirekt |
| PyPI | proxied | — | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | pyenchant | 3.3.0 | indirekt |
| PyPI | pyenv | — | indirekt |
| PyPI | pyinstaller | — | indirekt |
| PyPI | pyperformance | 1.14.0 | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | pytest-codspeed | 5.0.3 | indirekt |
| PyPI | pytest-cov | 7.1.0 | indirekt |
| PyPI | pyupgrade | — | indirekt |
| PyPI | refactor | — | indirekt |
| PyPI | refactored | — | indirekt |
| PyPI | regex | — | indirekt |
| PyPI | regexs | — | indirekt |
| PyPI | repo | — | indirekt |
| PyPI | riscv | — | indirekt |
| PyPI | riscv64 | — | indirekt |
| PyPI | rst | — | indirekt |
| PyPI | runtime | — | indirekt |
| PyPI | runtimes | — | indirekt |
| PyPI | s390x | — | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | sphinx | 8.2.3 | indirekt |
| PyPI | sphinxcontrib-spelling | 8.0.2 | indirekt |
| PyPI | sphinxcontrib-towncrier | — | indirekt |
| PyPI | str | — | indirekt |
| PyPI | subclassable | — | indirekt |
| PyPI | subclassed | — | indirekt |
| PyPI | subclassing | — | indirekt |
| PyPI | subprotocol | — | indirekt |
| PyPI | subprotocols | — | indirekt |
| PyPI | svetlov | — | indirekt |
| PyPI | toolbar | — | indirekt |
| PyPI | toolset | — | indirekt |
| PyPI | towncrier | 25.8.0 | indirekt |
| PyPI | tuples | — | indirekt |
| PyPI | un | — | indirekt |
| PyPI | uncompiled | — | indirekt |
| PyPI | upstr | — | indirekt |
| PyPI | url | — | indirekt |
| PyPI | urlencoded | — | indirekt |
| PyPI | urls | — | indirekt |
| PyPI | utf | — | indirekt |
| PyPI | websocket | — | indirekt |
| PyPI | websockets | — | indirekt |
| PyPI | wildcard | — | indirekt |
| PyPI | workflow | — | indirekt |
| PyPI | wsgi | — | indirekt |
| PyPI | x86-64 | — | indirekt |
JSON-Rohbericht maschinenlesbar
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"aiohttp",
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"Makefile": 1553
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"pushed_at": "2026-07-06T23:32:41Z",
"created_at": "2016-02-06T14:52:32Z",
"owner_type": "Organization",
"updated_at": "2026-07-14T05:39:35Z",
"description": "The multidict implementation",
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},
"activity": {
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"latest_release_tag": "v6.7.1",
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},
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"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Programming Language :: Python :: 3.9"
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"matches_repo": true,
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"versions_count": 149,
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"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is fuzzed",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 3 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 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is run on all commits",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "5 out of the last 5 releases have a total of 5 signed artifacts.",
"points": 6,
"status": "partial",
"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": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"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": "good",
"name": "AI Readiness",
"value": 76,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 20340
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 74,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile",
"docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
".mypy.ini",
"multidict/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile, docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile, docs/Makefile"
}
}
],
"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": ".flake8",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": ".mypy.ini, multidict/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".mypy.ini, multidict/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 81,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 74115,
"source_files_sampled": 44,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (.mypy.ini, multidict/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": ".mypy.ini, multidict/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "1/44 source files over 60KB",
"points": 53.8,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 44,
"oversized": 1
}
}
],
"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": "2026-07-16T22:15:14.319209Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/aio-libs/multidict.svg",
"full_name": "aio-libs/multidict",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 Statistiken — PyPI.