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Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-18 23:16 UTC

laughingman7743 / pyathena

PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.

PythonMIT★ 492 Sterne⑂ 108 Forksseit Mai 2017Auf GitHub ansehen ↗

laughingman7743/pyathena erreicht einen Gesundheitsindex von 65 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (88/100) ab, am schwächsten bei Sustainability & Governance (50/100). Zuletzt vor 4 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

65
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.

65
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

pyathena-devOrganisation
1 Follower3 öffentliche Reposseit Feb. 2026

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIPyAthenaverweist auf ein anderes Repo — nicht bewertet3.35.2-180vor 4 Tagen

Metriken nach Kategorie

Vitalität

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

88Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 4 Tagen
21.5/36Commit-Rhythmus — 31/52 Wochen mit Commits
18/18Commit-Volumen — 444 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year444
human_commit_share
days_since_last_push4
active_weeks_last_year31
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 4 Tagen
27/27Release-Rhythmus — ein Release etwa alle 15,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count100
latest_release_tagv3.35.2
releases_from_tagsnein
days_since_latest_release4
mean_days_between_releases15,1

Community & Verbreitung

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

61Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
43.7/60Stars — 492 Stars
16.9/25Forks — 108 Forks
3.3/15Watcher — 5 Watcher
Verwendete Eingangsdaten
forks108
stars492
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

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

50Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
1.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 94 % der Commits
13.5/13.5Breite der Beitragenden — 33 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled33
top_contributor_share0,942
Wie die Bewertung erfolgt
45.8/46.8Issue-Lösungsquote — 98 % der Issues geschlossen
34.4/38.3PR-Annahme — 398/443 entschiedene PRs gemergt
1.5/15OpenSSF Scorecard: Code-Review — Found 1/6 approved changesets -- score normalized to 1
Verwendete Eingangsdaten
merged_prs398
open_issues6
closed_issues290
issue_closed_ratio0,98
closed_unmerged_prs45
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
2.2/25Reichweite des Inhabers — 1 Follower von pyathena-dev
5.2/25Kontohistorie — 3 öffentliche Repos, Kontoalter ca. 0 Jahre
Verwendete Eingangsdaten
followers1
owner_typeOrganization
is_verified
owner_loginpyathena-dev
public_repos3
account_age_days153

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

74Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 7 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 6 out of 7 merged PRs checked by a CI test -- score normalized to 8
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://pyathena.dev/
10/10Repository-Beschreibung
10/10Topics — 5 Topics
0/10Wiki
Verwendete Eingangsdaten
topicspython, dbapi, aws, athena, sqlalchemy
has_wikinein
homepagehttps://pyathena.dev/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

52Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2/2.5CI-Tests — 6 out of 7 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 1/6 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
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
0/7.5Vulnerabilities — 12 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,2
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.

82Gut · 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_bytes4.482
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — .mise.toml, justfile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — pyathena/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesPipfile.lock, uv.lock
has_dockerfilenein
typed_languagenein
bootstrap_files.mise.toml, justfile
has_devcontainernein
has_linter_confignein
typecheck_configspyathena/py.typed
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
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (pyathena/py.typed)
53.5/55Handhabbare Dateigrößen — 4/147 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes102.228
source_files_sampled147
oversized_source_files4

Eckdaten

492GitHub-Sterne
33Mitwirkende
444Commits, letzte 12 Monate
4Tage seit letztem Push
100Releases
1Bus-Faktor
6offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • pypi package 'PyAthena' points at a different repository (https://github.com/pyathena-dev/PyAthena/); excluded from ecosystem scoring

Weitere Details

OpenSSF Scorecard 5.2 / 10
5.2Gesamtwert

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 · 2026-07-18 23:16 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
8CI-Tests6 out of 7 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/6 approved changesets -- score normalized to 1
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
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
0Vulnerabilities12 existing vulnerabilities detected
Direkte Abhängigkeiten 5
RegistryPaketVersionsvorgabeManifest
PyPIboto3>=1.41.2pyproject.toml
PyPIbotocore>=1.41.2pyproject.toml
PyPItenacity>=4.1.0pyproject.toml
PyPIfsspecpyproject.toml
PyPIpython-dateutilpyproject.toml
Alle Abhängigkeiten 93

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 9 direkte und 84 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIboto31.17.85direkt
PyPIboto31.43.14direkt
PyPIbotocore1.20.85direkt
PyPIbotocore1.43.14direkt
PyPIfsspec2024.12.0direkt
PyPIpython-dateutil2.8.1direkt
PyPIpython-dateutil2.9.0.post0direkt
PyPItenacity7.0.0direkt
PyPItenacity9.0.0direkt
PyPIaccessible-pygments0.0.5indirekt
PyPIalabaster0.7.16indirekt
PyPIbabel2.16.0indirekt
PyPIbackports-asyncio-runner1.2.0indirekt
PyPIbeautifulsoup44.13.5indirekt
PyPIcertifi2024.12.14indirekt
PyPIcharset-normalizer3.4.1indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.6.10indirekt
PyPIdocutils0.21.2indirekt
PyPIexceptiongroup1.2.2indirekt
PyPIexecnet2.1.1indirekt
PyPIfuro2025.9.25indirekt
PyPIfuture0.18.2indirekt
PyPIgreenlet3.3.2indirekt
PyPIidna3.15indirekt
PyPIimagesize1.4.1indirekt
PyPIiniconfig2.0.0indirekt
PyPIjinja23.1.6indirekt
PyPIjmespath0.10.0indirekt
PyPIjmespath1.0.1indirekt
PyPIjpype11.2.1indirekt
PyPImarkdown-it-py3.0.0indirekt
PyPImarkdown-it-py4.0.0indirekt
PyPImarkupsafe3.0.2indirekt
PyPImdit-py-plugins0.5.0indirekt
PyPImdurl0.1.2indirekt
PyPImypy1.14.0indirekt
PyPImypy-extensions1.0.0indirekt
PyPImyst-parser4.0.1indirekt
PyPImyst-parser5.0.0indirekt
PyPInumpy1.20.3indirekt
PyPInumpy2.0.2indirekt
PyPInumpy2.3.4indirekt
PyPIpackaging24.2indirekt
PyPIpandas1.2.4indirekt
PyPIpandas2.2.3indirekt
PyPIpandas2.3.3indirekt
PyPIpluggy1.5.0indirekt
PyPIpolars1.36.1indirekt
PyPIpolars-runtime-321.36.1indirekt
PyPIpyarrow23.0.1indirekt
PyPIpyathena1.7.1indirekt
PyPIpyathenajdbc2.0.5indirekt
PyPIpygments2.20.0indirekt
PyPIpytest9.0.3indirekt
PyPIpytest-asyncio1.3.0indirekt
PyPIpytest-cov6.0.0indirekt
PyPIpytest-dependency0.6.0indirekt
PyPIpytest-xdist3.6.1indirekt
PyPIpytz2021.1indirekt
PyPIpytz2024.2indirekt
PyPIpyyaml6.0.3indirekt
PyPIrequests2.33.0indirekt
PyPIroman-numerals4.1.0indirekt
PyPIroman-numerals-py4.1.0indirekt
PyPIs3transfer0.17.0indirekt
PyPIs3transfer0.4.2indirekt
PyPIsetuptools78.1.1indirekt
PyPIsix1.16.0indirekt
PyPIsix1.17.0indirekt
PyPIsnowballstemmer2.2.0indirekt
PyPIsoupsieve2.8.4indirekt
PyPIsphinx7.4.7indirekt
PyPIsphinx8.2.3indirekt
PyPIsphinx-basic-ng1.0.0b2indirekt
PyPIsphinx-design0.6.1indirekt
PyPIsphinx-design0.7.0indirekt
PyPIsphinx-multiversion0.2.4indirekt
PyPIsphinxcontrib-applehelp2.0.0indirekt
PyPIsphinxcontrib-devhelp2.0.0indirekt
PyPIsphinxcontrib-htmlhelp2.1.0indirekt
PyPIsphinxcontrib-jsmath1.0.1indirekt
PyPIsphinxcontrib-qthelp2.0.0indirekt
PyPIsphinxcontrib-serializinghtml2.0.0indirekt
PyPIsphinxext-opengraph0.13.0indirekt
PyPIsqlalchemy2.0.46indirekt
PyPItomli2.2.1indirekt
PyPItypes-python-dateutil2.9.0.20241206indirekt
PyPItyping-extensions3.10.0.0indirekt
PyPItyping-extensions4.12.2indirekt
PyPItzdata2024.2indirekt
PyPIurllib31.26.5indirekt
PyPIurllib32.7.0indirekt
JSON-Rohbericht maschinenlesbar
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    "ai_readiness": {
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      "api_schema_files": [],
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      "largest_source_bytes": 102228,
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      "oversized_source_files": 4,
      "agent_instruction_files": [
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      "ecosystems": [
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                "key": "release_cadence",
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                "key": "openssf_scorecard_signed_releases",
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              "cap": null,
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            ]
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        ],
        "description": "Is the project alive — is code being written and are releases shipping?"
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      {
        "key": "community",
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        "metrics": [
          {
            "key": "popularity",
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                "key": "stars",
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                      "count": 492
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                "max_points": 60
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              {
                "key": "forks",
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                    "code": "watchers",
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                "max_points": 15
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          },
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            "key": "community_health",
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                "key": "license",
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                "points": 22.5,
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                  {
                    "code": "license_standard",
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                  {
                    "code": "license_spdx",
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              {
                "key": "issue_template",
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      {
        "key": "governance",
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "key": "contributor_breadth",
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                "max_points": 13.5
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                "key": "openssf_scorecard_contributors",
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                "max_points": 10
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            ]
          },
          {
            "key": "responsiveness",
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            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
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              "merged_prs": 398,
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                "key": "issue_resolution",
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                "detail": "98% of issues closed",
                "points": 45.8,
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                    "code": "issues_closed_share",
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                      "share": 98
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                  }
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "398/443 decided PRs merged",
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                    "code": "decided_prs_merged",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
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            ]
          },
          {
            "key": "stewardship",
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            "notes": [],
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              "followers": 1,
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              "is_verified": null,
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            "components": [
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                "key": "ownership_backing",
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                    "code": "owner_organization",
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                "max_points": 30
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              {
                "key": "verified_domain",
                "name": "Verified domain",
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                "status": "missed",
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                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "1 followers of pyathena-dev",
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                    "code": "owner_followers",
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                      "count": 1,
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                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "3 public repos, account ~0 yr old",
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                    "code": "public_repos",
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                      "count": 3
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                  },
                  {
                    "code": "account_age_years",
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                ],
                "max_points": 25
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
        "key": "engineering",
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        "name": "Engineering Quality",
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            "components": [
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                "key": "ci_workflows",
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                    "code": "ci_workflows",
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                "max_points": 24
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                "key": "tests_present",
                "name": "Tests present",
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              {
                "key": "linter_config",
                "name": "Linter config",
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              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
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              {
                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
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            ]
          },
          {
            "key": "documentation",
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              "topics": [
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            "components": [
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                "key": "readme",
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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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              {
                "key": "topics",
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                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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                "code": "weights_renormalized",
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            "value": 52,
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                "key": "branch_protection",
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              {
                "key": "code_review",
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              {
                "key": "contributors",
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                "detail": "project has 6 contributing companies or organizations",
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "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 not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
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                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 15 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": "all dependencies are pinned",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
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                "status": "missed",
                "details": [],
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              },
              {
                "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": "12 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "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,
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              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 8
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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                "points": 100,
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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."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "pypi package 'PyAthena' points at a different repository (https://github.com/pyathena-dev/PyAthena/); excluded from ecosystem scoring"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-18T23:16:48.482756Z",
  "schema_version": "0.14.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/laughingman7743/pyathena.svg",
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}

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

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.14.0 — vollständige Methodik · Metriken-Wiki.

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