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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-14 19:02 UTC

kensho-technologies / kfinance

PythonApache-2.0★ 16 Sterne⑂ 9 Forksseit Feb. 2025Auf GitHub ansehen ↗

kensho-technologies/kfinance erreicht einen Gesundheitsindex von 69 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (91/100) ab, am schwächsten bei Security (49/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

69
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.

69
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

KenshoOrganisation
33 Follower46 öffentliche Reposseit März 2017

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIkensho-kfinance6.6.2-80vor 4 Tagen

Metriken nach Kategorie

Vitalität

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

91Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
22.8/36Commit-Rhythmus — 33/52 Wochen mit Commits
16.4/18Commit-Volumen — 66 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year66
human_commit_share
days_since_last_push0
active_weeks_last_year33

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 83 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 4 Tagen
27/27Release-Rhythmus — ein Release etwa alle 7 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count83
latest_release_tagv6.6.2
releases_from_tagsnein
days_since_latest_release4
mean_days_between_releases7
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?

56Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
19.1/60Stars — 16 Stars
7.5/25Forks — 9 Forks
3.3/15Watcher — 5 Watcher
Verwendete Eingangsdaten
forks9
stars16
watchers5
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?

77Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
15.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 32 % der Commits
13.5/13.5Breite der Beitragenden — 13 Beitragende
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Verwendete Eingangsdaten
bus_factor2
contributors_sampled13
top_contributor_share0,323
Wie die Bewertung erfolgt
0/46.8Issue-Lösungsquote — keine Issues oder keine Daten
35.9/38.3PR-Annahme — 125/133 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs125
open_issues0
closed_issues0
issue_closed_ratio
closed_unmerged_prs8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11/25Reichweite des Inhabers — 33 Follower von kensho-technologies
24.2/25Kontohistorie — 46 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers33
owner_typeOrganization
is_verified
owner_loginkensho-technologies
public_repos46
account_age_days3.402

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 4 Tagen
20/20Versionshistorie — 80 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packageskensho-kfinance
ecosystemspypi
any_deprecatednein
min_days_since_publish4

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

63Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
0/10Repository-Beschreibung
0/10Topics
0/10Wiki
Verwendete Eingangsdaten
topics
has_wikinein
homepage
has_readmeja
has_docs_dirja
has_descriptionnein

Sicherheit

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

49Gefährdet · 16 % des Gesamtindex

Sicherheitslage

49Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
4.5/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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 — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 20 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,9
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.

51Mittel · 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
18/18Bootstrap mit einem Befehl — justfile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — kfinance/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesjustfile
has_devcontainernein
has_linter_confignein
typecheck_configskfinance/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 (kfinance/py.typed)
54.2/55Handhabbare Dateigrößen — 2/140 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes83.375
source_files_sampled140
oversized_source_files2
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
20/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalja
api_schema_files

Eckdaten

16GitHub-Sterne
13Mitwirkende
66Commits, letzte 12 Monate
0Tage seit letztem Push
83Releases
2Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 4.9 / 10
4.9Gesamtwert

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 19:01 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities20 existing vulnerabilities detected
Direkte Abhängigkeiten 17
RegistryPaketVersionsvorgabeManifest
PyPIasyncer==0.0.17pyproject.toml
PyPIcachetools>=7,<8pyproject.toml
PyPIclick>=8.2.1,<=9pyproject.toml
PyPIfastmcp>=3.2.0,<4pyproject.toml
PyPIlangchain-core>=1.2.22,<2pyproject.toml
PyPIlangchain-google-genai>=4.2.1,<5pyproject.toml
PyPInumpy>=1.22.4pyproject.toml
PyPIpandas>=2.0.0pyproject.toml
PyPIpillow>=10pyproject.toml
PyPIpydantic>=2.10.0,<3pyproject.toml
PyPIpyjwt>=2.8.0pyproject.toml
PyPIpython-dateutil>=2.8.2,<2.9pyproject.toml
PyPIstrenum>=0.4.15pyproject.toml
PyPItabulate>=0.9.0pyproject.toml
PyPItypes-requests>=2.22.0,<3pyproject.toml
PyPIrequests>=2.22.0,<3pyproject.toml
PyPIurllib3>=2.5pyproject.toml
Alle Abhängigkeiten 214

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 36 direkte und 178 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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PyPIcachetoolsdirekt
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PyPIlangchain-core1.4.8direkt
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JSON-Rohbericht maschinenlesbar
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                "details": [],
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              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "license",
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                "points": 2.5,
                "status": "met",
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                "detail": "20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
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                "key": "packaging",
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                "max_points": 5
              },
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                "key": "pinned_dependencies",
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                "key": "sast",
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              },
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                "key": "token_permissions",
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                "key": "vulnerabilities",
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          },
          {
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                "Iran",
                "North Korea"
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                "key": "demonstrated_agent_practice",
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                "max_points": 10
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                "key": "automated_maintenance",
                "name": "Automated maintenance",
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                "details": [
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
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            "key": "ai_code_legibility",
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            "name": "Code legibility for models",
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            "notes": [],
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                "key": "type_checkable_code",
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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": "2026-07-14T19:02:18.006742Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/k/kensho-technologies/kfinance.svg",
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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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