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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:32 UTC

Microsoft / playwright-python

Python version of the Playwright testing and automation library.

PythonApache-2.0★ 14.834 Sterne⑂ 1.192 Forksseit Juli 2020Auf GitHub ansehen ↗

Microsoft/playwright-python erreicht einen Gesundheitsindex von 78 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Community & Adoption (91/100) ab, am schwächsten bei Security (55/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

78
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.

78
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

MicrosoftOrganisation
125.214 Follower8.197 öffentliche Reposseit Dez. 2013

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIplaywright1.61.0-83vor 17 Tagen

Metriken nach Kategorie

Vitalität

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

85Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
17.3/36Commit-Rhythmus — 25/52 Wochen mit Commits
17.2/18Commit-Volumen — 81 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year81
human_commit_share
days_since_last_push0
active_weeks_last_year25
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 17 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 47,2 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tagv1.61.0
releases_from_tagsnein
days_since_latest_release17
mean_days_between_releases47,2
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?

91Exzellent · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 14.834 Stars
25/25Forks — 1.192 Forks
12.1/15Watcher — 153 Watcher
Verwendete Eingangsdaten
forks1.192
stars14.834
watchers153
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
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?

82Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
12.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 44 % der Commits
13.5/13.5Breite der Beitragenden — 53 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled53
top_contributor_share0,438
Wie die Bewertung erfolgt
46.7/46.8Issue-Lösungsquote — 100 % der Issues geschlossen
31.7/38.3PR-Annahme — 1.013/1.223 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs1.013
open_issues1
closed_issues1.539
issue_closed_ratio0,999
closed_unmerged_prs210
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 125.214 Follower von microsoft
25/25Kontohistorie — 8.197 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers125.214
owner_typeOrganization
is_verified
owner_loginmicrosoft
public_repos8.197
account_age_days4.601

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 17 Tagen
20/20Versionshistorie — 83 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesplaywright
ecosystemspypi
any_deprecatednein
min_days_since_publish17

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

73Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .eslintrc
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests — 7 out of 30 merged PRs checked by a CI test -- score normalized to 2
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://playwright.dev/python/
10/10Repository-Beschreibung
10/10Topics — 4 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsplaywright, chromium, firefox, webkit
has_wikinein
homepagehttps://playwright.dev/python/
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

55Mittel · 16 % des Gesamtindex
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 — 7 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 14 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
7.5/7.5Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 16 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,5
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. 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.

67Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes6.583
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
11/11Lint-/Format-Konfiguration — .eslintrc
11/11Statische Typprüfung — playwright/py.typed
10/10Reproduzierbare Umgebung — Dockerfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configsplaywright/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (playwright/py.typed)
54.4/55Handhabbare Dateigrößen — 3/275 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes939.871
source_files_sampled275
oversized_source_files3
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

14.834GitHub-Sterne
53Mitwirkende
81Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
2Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme

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 · 2026-07-17 00:32 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
2CI-Tests7 out of 30 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 14 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities16 existing vulnerabilities detected
Direkte Abhängigkeiten 2
RegistryPaketVersionsvorgabeManifest
PyPIpyee>=13,<14pyproject.toml
PyPIgreenlet>=3.1.1,<4.0.0pyproject.toml
Alle Abhängigkeiten 33

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 4 direkte und 29 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIgreenletdirekt
PyPIgreenlet3.5.3direkt
PyPIpyeedirekt
PyPIpyee13.0.1direkt
PyPIasyncio-atexit1.0.1indirekt
PyPIauditwheel6.7.0indirekt
PyPIautobahn23.1.2indirekt
PyPIblack26.5.1indirekt
PyPIbuild1.4.4indirekt
PyPIflake87.3.0indirekt
PyPImypy2.1.0indirekt
PyPIobjgraph3.6.2indirekt
PyPIpillow11.3.0indirekt
PyPIpixelmatch0.3.0indirekt
PyPIpre-commit3.5.0indirekt
PyPIpyopenssl26.0.0indirekt
PyPIpytest8.4.2indirekt
PyPIpytest-asyncio1.1.0indirekt
PyPIpytest-cov7.1.0indirekt
PyPIpytest-playwrightindirekt
PyPIpytest-repeat0.9.4indirekt
PyPIpytest-rerunfailures16.0.1indirekt
PyPIpytest-timeout2.4.0indirekt
PyPIpytest-xdist3.8.0indirekt
PyPIrequests2.32.5indirekt
PyPIservice-identity24.2.0indirekt
PyPIsetuptools82.0.1indirekt
PyPIsetuptools-scm9.2.2indirekt
PyPItwisted25.5.0indirekt
PyPItypes-pyopenssl24.1.0.20240722indirekt
PyPItypes-requests2.33.0.20260518indirekt
PyPItyping-extensions4.15.0indirekt
PyPIwheel0.47.0indirekt
JSON-Rohbericht maschinenlesbar
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      "pushed_at": "2026-07-16T17:53:39Z",
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      "agent_instruction_files": [
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      "ecosystems": [
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                "key": "ownership_backing",
                "name": "Ownership backing",
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                "details": [
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                "max_points": 30
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              {
                "key": "verified_domain",
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                "detail": null,
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                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "125,214 followers of microsoft",
                "points": 25,
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                "details": [
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                    "code": "owner_followers",
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                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "8197 public repos, account ~12 yr old",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "public_repos",
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                  {
                    "code": "account_age_years",
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                      "years": 12
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                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "playwright"
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              "ecosystems": "pypi",
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            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
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                "key": "publish_recency",
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                "max_points": 35
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                "key": "version_history",
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                "detail": "83 published versions",
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                "key": "not_deprecated",
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                "points": 20,
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                "key": "openssf_scorecard_ci_tests",
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          {
            "key": "documentation",
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              {
                "key": "security_policy",
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                "key": "signed_releases",
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        "name": "AI Readiness",
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                "key": "machine_readable_docs_llms_txt",
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                "status": "missed",
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          {
            "key": "ai_verify_loop",
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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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  "report_type": "repository",
  "generated_at": "2026-07-17T00:32:59.469745Z",
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}

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