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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-14 17:11 UTC

turnstonelabs / turnstone

PythonApache-2.0★ 872 Sterne⑂ 74 Forksseit März 2026Auf GitHub ansehen ↗

turnstonelabs/turnstone erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (87/100) ab, am schwächsten bei AI Readiness (50/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

70
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.

70
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

turnstonelabsOrganisation
24 Follower3 öffentliche Reposseit März 2026

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIturnstone1.7.4-128vor 2 Tagen

Metriken nach Kategorie

Vitalität

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

87Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
13.8/36Commit-Rhythmus — 20/52 Wochen mit Commits
18/18Commit-Volumen — 1.605 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year1.605
human_commit_share
days_since_last_push0
active_weeks_last_year20

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 1,8 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tagv1.8.0a1
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases1,8
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?

69Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
47.7/60Stars — 872 Stars
15.5/25Forks — 74 Forks
5.8/15Watcher — 12 Watcher
Verwendete Eingangsdaten
forks74
stars872
watchers12
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
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

57Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
2.1/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 91 % der Commits
13.5/13.5Breite der Beitragenden — 14 Beitragende
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Verwendete Eingangsdaten
bus_factor1
contributors_sampled14
top_contributor_share0,907
Wie die Bewertung erfolgt
34.2/46.8Issue-Lösungsquote — 73 % der Issues geschlossen
37.2/38.3PR-Annahme — 735/756 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/5 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs735
open_issues22
closed_issues60
issue_closed_ratio0,732
closed_unmerged_prs21
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
10.1/25Reichweite des Inhabers — 24 Follower von turnstonelabs
5.1/25Kontohistorie — 3 öffentliche Repos, Kontoalter ca. 0 Jahre
Verwendete Eingangsdaten
followers24
owner_typeOrganization
is_verified
owner_loginturnstonelabs
public_repos3
account_age_days134

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 2 Tagen
20/20Versionshistorie — 128 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesturnstone
ecosystemspypi
any_deprecatednein
min_days_since_publish2

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

82Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 7 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
0/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionnein

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
2.5/2.5CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/5 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — 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 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5,5
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): 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.

50Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — sdk/typescript/tsconfig.json, turnstone/sdk/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespackage-lock.json, uv.lock
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configssdk/typescript/tsconfig.json, turnstone/sdk/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 (sdk/typescript/tsconfig.json, turnstone/sdk/py.typed)
50.4/55Handhabbare Dateigrößen — 55/654 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes3.565.102
source_files_sampled654
oversized_source_files55
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
20/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalja
api_schema_files

Eckdaten

872GitHub-Sterne
14Mitwirkende
1.605Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
1Bus-Faktor
22offene 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 · 2026-07-14 17:10 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/5 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 24
RegistryPaketVersionsvorgabeManifest
PyPIopenai>=2.45pyproject.toml
PyPIanthropic>=0.108pyproject.toml
PyPIhttpx>=0.28pyproject.toml
PyPImcp>=1.27,<2pyproject.toml
PyPIstarlette>=1.3.1pyproject.toml
PyPIuvicorn>=0.34pyproject.toml
PyPIsse-starlette>=2.0pyproject.toml
PyPIhttpx-sse>=0.4pyproject.toml
PyPIpydantic>=2.0pyproject.toml
PyPIpydantic-settings>=2.14.2pyproject.toml
PyPIsqlalchemy>=2.0pyproject.toml
PyPIalembic>=1.14pyproject.toml
PyPIpsycopg>=3.2pyproject.toml
PyPIcroniter>=3.0pyproject.toml
PyPIstructlog>=24.1pyproject.toml
PyPIPyJWT>=2.8pyproject.toml
PyPIbcrypt>=4.0pyproject.toml
PyPIcryptography>=48.0.1pyproject.toml
PyPIlacme>=1.0.5pyproject.toml
PyPIpython-frontmatter>=1.0pyproject.toml
PyPIpypdfium2>=4pyproject.toml
PyPIpillow>=10pyproject.toml
PyPIaltair>=6.0pyproject.toml
PyPIvl-convert-python>=1.6pyproject.toml
Alle Abhängigkeiten 188

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 25 direkte und 163 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIalembic1.18.5direkt
PyPIaltair6.2.2direkt
PyPIanthropic0.116.0direkt
PyPIbcrypt5.0.0direkt
PyPIcroniter6.2.3direkt
PyPIcryptography49.0.0direkt
PyPIhttpx0.28.1direkt
PyPIhttpx-sse0.4.3direkt
PyPIlacme1.0.5direkt
PyPImcp1.28.1direkt
PyPImcpdirekt
PyPIopenai2.45.0direkt
PyPIpillow12.3.0direkt
PyPIpsycopg3.3.4direkt
PyPIpydantic2.13.4direkt
PyPIpydantic-settings2.14.2direkt
PyPIpyjwt2.13.0direkt
PyPIpypdfium25.11.0direkt
PyPIpython-frontmatter1.3.0direkt
PyPIsqlalchemy2.0.51direkt
PyPIsse-starlette3.4.5direkt
PyPIstarlette1.3.1direkt
PyPIstructlog26.1.0direkt
PyPIuvicorn0.50.2direkt
PyPIvl-convert-python1.9.0.post1direkt
npm@emnapi/core1.11.1indirekt
npm@emnapi/runtime1.11.1indirekt
npm@emnapi/wasi-threads1.2.2indirekt
npm@jridgewell/sourcemap-codec1.5.5indirekt
npm@napi-rs/wasm-runtime1.1.6indirekt
npm@oxc-project/types0.138.0indirekt
npm@rolldown/binding-android-arm641.1.4indirekt
npm@rolldown/binding-darwin-arm641.1.4indirekt
npm@rolldown/binding-darwin-x641.1.4indirekt
npm@rolldown/binding-freebsd-x641.1.4indirekt
npm@rolldown/binding-linux-arm-gnueabihf1.1.4indirekt
npm@rolldown/binding-linux-arm64-gnu1.1.4indirekt
npm@rolldown/binding-linux-arm64-musl1.1.4indirekt
npm@rolldown/binding-linux-ppc64-gnu1.1.4indirekt
npm@rolldown/binding-linux-s390x-gnu1.1.4indirekt
npm@rolldown/binding-linux-x64-gnu1.1.4indirekt
npm@rolldown/binding-linux-x64-musl1.1.4indirekt
npm@rolldown/binding-openharmony-arm641.1.4indirekt
npm@rolldown/binding-wasm32-wasi1.1.4indirekt
npm@rolldown/binding-win32-arm64-msvc1.1.4indirekt
npm@rolldown/binding-win32-x64-msvc1.1.4indirekt
npm@rolldown/pluginutils1.0.1indirekt
npm@standard-schema/spec1.1.0indirekt
npm@tybys/wasm-util0.10.3indirekt
npm@types/chai5.2.3indirekt
npm@types/deep-eql4.0.2indirekt
npm@types/estree1.0.9indirekt
npm@typescript/typescript-aix-ppc647.0.2indirekt
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npm@typescript/typescript-linux-mips64el7.0.2indirekt
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npm@typescript/typescript-linux-x647.0.2indirekt
npm@typescript/typescript-netbsd-arm647.0.2indirekt
npm@typescript/typescript-netbsd-x647.0.2indirekt
npm@typescript/typescript-openbsd-arm647.0.2indirekt
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npm@typescript/typescript-sunos-x647.0.2indirekt
npm@typescript/typescript-win32-arm647.0.2indirekt
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npm@vitest/expect4.1.10indirekt
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npm@vitest/runner4.1.10indirekt
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npmlightningcss1.32.0indirekt
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npmlightningcss-linux-x64-gnu1.32.0indirekt
npmlightningcss-linux-x64-musl1.32.0indirekt
npmlightningcss-win32-arm64-msvc1.32.0indirekt
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npmmagic-string0.30.21indirekt
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PyPInarwhals2.23.0indirekt
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PyPIpathspec1.1.1indirekt
PyPIpluggy1.6.0indirekt
PyPIpropcache0.5.2indirekt
PyPIpsycopg-binary3.3.4indirekt
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PyPIpydantic-core2.46.4indirekt
PyPIpygments2.20.0indirekt
PyPIpytest9.1.1indirekt
PyPIpytestindirekt
PyPIpytest-cov7.1.0indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-dotenv1.2.2indirekt
PyPIpython-multipart0.0.32indirekt
PyPIpywin32312indirekt
PyPIpyyaml6.0.3indirekt
PyPIreferencing0.37.0indirekt
PyPIrpds-py2026.6.3indirekt
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          },
          {
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              {
                "key": "demonstrated_agent_practice",
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                "key": "automated_maintenance",
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                "details": [
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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          },
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                "key": "runnable_examples",
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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": [],
  "report_type": "repository",
  "generated_at": "2026-07-14T17:11:26.179960Z",
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  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/turnstonelabs/turnstone.svg",
  "full_name": "turnstonelabs/turnstone",
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}

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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 v0.11.0 — vollständige Methodik · Metriken-Wiki.

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