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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-28 10:31 UTC

neurallayer / roboquant.py

An open-source algorithmic trading platform written in Python

PythonApache-2.0★ 24 Sterne⑂ 12 Forksseit Feb. 2024Auf GitHub ansehen ↗

neurallayer/roboquant.py erreicht einen Gesundheitsindex von 57 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (73/100) ab, am schwächsten bei AI Readiness (27/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

57
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.

57
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

Neural LayerOrganisation
21 Follower33 öffentliche Reposseit Juli 2019

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIroboquant2.6.5-93vor 0 Tagenalgorithmictradingmachine-learningaiinvestmentfinancecryptostocksexchangeforex

Metriken nach Kategorie

Vitalität

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

73Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
13.2/36Commit-Rhythmus — 19/52 Wochen mit Commits
18/18Commit-Volumen — 123 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_year123
human_commit_share1
days_since_last_push0
active_weeks_last_year19
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 2 Releases veröffentlicht
7.2/36Release-Aktualität — letztes Release vor 513 Tagen
27/27Release-Rhythmus — ein Release etwa alle 4,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count2
latest_release_tagv1.1.0
releases_from_tagsnein
days_since_latest_release513
mean_days_between_releases4,6
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?

40Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
22.1/60Stars — 24 Stars
8.7/25Forks — 12 Forks
1.7/15Watcher — 3 Watcher
Verwendete Eingangsdaten
forks12
stars24
watchers3
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)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
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?

51Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
1.4/13.5Breite der Beitragenden — 1 Beitragende
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Verwendete Eingangsdaten
bus_factor1
contributors_sampled1
top_contributor_share1
Wie die Bewertung erfolgt
46.8/46.8Issue-Lösungsquote — 100 % der Issues geschlossen
0/38.3PR-Annahme — 0/1 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs0
open_issues0
closed_issues1
issue_closed_ratio1
closed_unmerged_prs1
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
9.7/25Reichweite des Inhabers — 21 Follower von neurallayer
23.2/25Kontohistorie — 33 öffentliche Repos, Kontoalter ca. 7 Jahre
Verwendete Eingangsdaten
followers21
owner_typeOrganization
is_verified
owner_loginneurallayer
public_repos33
account_age_days2.567

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 93 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesroboquant
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

72Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://roboquant.org
10/10Repository-Beschreibung
10/10Topics — 11 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsai, algorithmic-trading, algotrading, crypto, ml, python, stocks, alpaca, ibkr, opensource, trading
has_wikinein
homepagehttps://roboquant.org
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

45Gefährdet · 16 % des Gesamtindex

Sicherheitslage

31Gefährdet
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
0/2.5CI-Tests — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
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 — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
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 — 53 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3,1
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
0/25Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories97
affected_packages14
assessed_packages155
unassessed_packages0
affected_by_severitycritical 2, high 5, moderate 6, low 1
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 155 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.

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.

27Kritisch · 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 — 0 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
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_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/118 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes23.601
source_files_sampled118
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — samples
Verwendete Eingangsdaten
example_dirssamples
has_mcp_signalnein
api_schema_files

Eckdaten

24GitHub-Sterne
1Mitwirkende
123Commits, letzte 12 Monate
0Tage seit letztem Push
2Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:roboquant@2.6.5; advisories assessed against the repository dependency graph instead

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 12 ⇿
0Sterne
12Forks
2Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

0246810121222024-022024-102025-05
Major 1Minor 1Patch 0

Jeder Punkt umfasst 2 Tage.

OpenSSF Scorecard 3.1 / 10
3.1Gesamtwert

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 · 2026-07-28 10:31 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
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
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities53 existing vulnerabilities detected
Direkte Abhängigkeiten 7
RegistryPaketVersionsvorgabeManifest
PyPInumpy>2.0.0pyproject.toml
PyPIrequests>2.30.0pyproject.toml
PyPIyfinance>=1.5.2pyproject.toml
PyPIpyarrow>24.0.0pyproject.toml
PyPIta-lib==0.6.5pyproject.toml
PyPIpandas>=2.2.0pyproject.toml
PyPImatplotlib>=3.10.0pyproject.toml
Alle Abhängigkeiten 155

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 7 direkte und 148 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPImatplotlib3.11.0direkt
PyPInumpy2.5.1direkt
PyPIpandas2.2.3direkt
PyPIpyarrow25.0.0direkt
PyPIrequests2.34.2direkt
PyPIta-lib0.6.5direkt
PyPIyfinance1.5.2direkt
PyPIabsl-py2.1.0indirekt
PyPIaccelerate1.8.1indirekt
PyPIaiodns4.0.4indirekt
PyPIaiohappyeyeballs2.7.1indirekt
PyPIaiohttp3.14.1indirekt
PyPIaiohttp-fast-zlib0.3.0indirekt
PyPIaiosignal1.4.0indirekt
PyPIalpaca-py0.43.5indirekt
PyPIannotated-types0.7.0indirekt
PyPIappnope0.1.4indirekt
PyPIasttokens3.0.0indirekt
PyPIattrs26.1.0indirekt
PyPIbeautifulsoup44.12.3indirekt
PyPIbuild1.5.1indirekt
PyPIccxt4.5.65indirekt
PyPIcertifi2026.6.17indirekt
PyPIcffi2.0.0indirekt
PyPIcharset-normalizer3.4.7indirekt
PyPIchronos-forecasting2.3.1indirekt
PyPIcloudpickle3.1.0indirekt
PyPIcoincurve21.0.0indirekt
PyPIcolorama0.4.6indirekt
PyPIcomm0.2.2indirekt
PyPIcontourpy1.3.1indirekt
PyPIcryptography49.0.0indirekt
PyPIcuda-bindings13.3.1indirekt
PyPIcuda-pathfinder1.5.5indirekt
PyPIcuda-toolkit13.0.3.0indirekt
PyPIcurl-cffi0.15.0indirekt
PyPIcycler0.12.1indirekt
PyPIdebugpy1.8.12indirekt
PyPIdecorator5.2.1indirekt
PyPIeinops0.8.2indirekt
PyPIexecuting2.2.0indirekt
PyPIfarama-notifications0.0.4indirekt
PyPIfilelock3.16.1indirekt
PyPIfonttools4.55.3indirekt
PyPIfrozenlist1.8.0indirekt
PyPIfsspec2024.12.0indirekt
PyPIgrpcio1.82.1indirekt
PyPIgymnasium1.0.0indirekt
PyPIhf-xet1.1.5indirekt
PyPIhuggingface-hub0.33.1indirekt
PyPIibind0.1.22indirekt
PyPIidna3.18indirekt
PyPIipykernel7.3.0indirekt
PyPIipython9.0.0indirekt
PyPIipython-pygments-lexers1.1.1indirekt
PyPIipywidgets8.1.6indirekt
PyPIjedi0.19.2indirekt
PyPIjinja23.1.5indirekt
PyPIjupyter-client8.9.1indirekt
PyPIjupyter-core5.7.2indirekt
PyPIjupyterlab-widgets3.0.14indirekt
PyPIkiwisolver1.4.8indirekt
PyPImako1.3.12indirekt
PyPImarkdown3.7indirekt
PyPImarkdown-it-py3.0.0indirekt
PyPImarkupsafe3.0.2indirekt
PyPImatplotlib-inline0.1.7indirekt
PyPImdurl0.1.2indirekt
PyPImpmath1.3.0indirekt
PyPImsgpack1.1.0indirekt
PyPImultidict6.7.1indirekt
PyPImultitasking0.0.11indirekt
PyPInest-asyncio21.7.2indirekt
PyPInetworkx3.4.2indirekt
PyPInodeenv1.9.1indirekt
PyPInvidia-cublas13.1.1.3indirekt
PyPInvidia-cuda-cupti13.0.85indirekt
PyPInvidia-cuda-nvrtc13.0.88indirekt
PyPInvidia-cuda-runtime13.0.96indirekt
PyPInvidia-cudnn-cu139.20.0.48indirekt
PyPInvidia-cufft12.0.0.61indirekt
PyPInvidia-cufile1.15.1.6indirekt
PyPInvidia-curand10.4.0.35indirekt
PyPInvidia-cusolver12.0.4.66indirekt
PyPInvidia-cusparse12.6.3.3indirekt
PyPInvidia-cusparselt-cu130.8.1indirekt
PyPInvidia-nccl-cu132.29.7indirekt
PyPInvidia-nvjitlink13.0.88indirekt
PyPInvidia-nvshmem-cu133.4.5indirekt
PyPInvidia-nvtx13.0.85indirekt
PyPIorjson3.11.9indirekt
PyPIpackaging24.2indirekt
PyPIparso0.8.4indirekt
PyPIpdoc30.11.6indirekt
PyPIpeewee3.17.8indirekt
PyPIpexpect4.9.0indirekt
PyPIpillow11.1.0indirekt
PyPIpip26.1.2indirekt
PyPIplatformdirs4.3.6indirekt
PyPIprompt-toolkit3.0.50indirekt
PyPIpropcache0.5.2indirekt
PyPIprotobuf7.35.1indirekt
PyPIpsutil7.0.0indirekt
PyPIptyprocess0.7.0indirekt
PyPIpure-eval0.2.3indirekt
PyPIpycares5.0.1indirekt
PyPIpycparser3.0indirekt
PyPIpycryptodome3.22.0indirekt
PyPIpydantic2.10.5indirekt
PyPIpydantic-core2.27.2indirekt
PyPIpygments2.19.1indirekt
PyPIpyparsing3.2.1indirekt
PyPIpyproject-hooks1.2.0indirekt
PyPIpyrefly1.1.1indirekt
PyPIpyright1.1.411indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-dotenv1.1.0indirekt
PyPIpytz2024.2indirekt
PyPIpywin32308indirekt
PyPIpyyaml6.0.2indirekt
PyPIpyzmq26.2.1indirekt
PyPIregex2024.11.6indirekt
PyPIrich13.9.4indirekt
PyPIroboquant2.6.5indirekt
PyPIsafetensors0.5.3indirekt
PyPIsb3-contrib2.9.0indirekt
PyPIsetuptools82.0.1indirekt
PyPIsix1.17.0indirekt
PyPIsoupsieve2.6indirekt
PyPIsseclient-py1.8.0indirekt
PyPIstable-baselines32.9.0indirekt
PyPIstack-data0.6.3indirekt
PyPIsympy1.14.0indirekt
PyPItensorboard2.21.0indirekt
PyPItensorboard-data-server0.7.2indirekt
PyPItokenizers0.21.2indirekt
PyPItorch2.13.0indirekt
PyPItornado6.4.2indirekt
PyPItqdm4.67.1indirekt
PyPItraitlets5.14.3indirekt
PyPItransformers4.53.0indirekt
PyPItriton3.7.1indirekt
PyPIty0.0.62indirekt
PyPItyping-extensions4.16.0indirekt
PyPItzdata2024.2indirekt
PyPIurllib32.7.0indirekt
PyPIuvloop0.22.1indirekt
PyPIwcwidth0.2.13indirekt
PyPIwebsocket-client1.8.0indirekt
PyPIwebsockets14.1indirekt
PyPIwerkzeug3.1.3indirekt
PyPIwidgetsnbextension4.0.14indirekt
PyPIwinloop0.6.3indirekt
PyPIyarl1.24.2indirekt
PyPIzlib-ng1.0.0indirekt
Abhängigkeits-Advisories 14

Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 155 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 14 tragen bekannte Advisories, davon 0 direkte.

PaketVersionBeziehungSchweregradAdvisoriesBehoben in
pillow11.1.0indirektkritisch3412.3.0
transformers4.53.0indirektkritisch145.5.0
jupyter-core5.7.2indirekthoch25.8.1
markdown3.7indirekthoch23.8.1
msgpack1.1.0indirekthoch11.2.1
soupsieve2.6indirekthoch42.8.4
tornado6.4.2indirekthoch206.5.7
filelock3.16.1indirektmittel43.20.3
fonttools4.55.3indirektmittel24.60.2
jinja23.1.5indirektmittel23.1.6
python-dotenv1.1.0indirektmittel21.2.2
setuptools82.0.1indirektmittel283.0.0
werkzeug3.1.3indirektmittel63.1.6
pygments2.19.1indirektniedrig22.20.0

Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.

JSON-Rohbericht maschinenlesbar
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            },
            "components": [
              {
                "key": "project_is_still_maintained",
                "name": "Project is still maintained",
                "detail": "last human commit 0 days ago",
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                  {
                    "code": "abandonment_maintained",
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                      "days": 0
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                "max_points": 100
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            ]
          }
        ],
        "description": "Is the project alive — is code being written and are releases shipping?"
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      {
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        "weight": 0.18,
        "metrics": [
          {
            "key": "popularity",
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            "notes": [],
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            "inputs": {
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            "components": [
              {
                "key": "stars",
                "name": "Stars",
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                "points": 22.1,
                "status": "partial",
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                    "code": "stars",
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                      "count": 24
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                ],
                "max_points": 60
              },
              {
                "key": "forks",
                "name": "Forks",
                "detail": "12 forks",
                "points": 8.7,
                "status": "partial",
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                    "code": "forks",
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                      "count": 12
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                  }
                ],
                "max_points": 25
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              {
                "key": "watchers",
                "name": "Watchers",
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                      "count": 3
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                ],
                "max_points": 15
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            ]
          },
          {
            "key": "community_health",
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            "name": "Community health",
            "note": null,
            "notes": [],
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            "inputs": {
              "has_readme": true,
              "has_license": true,
              "has_contributing": false,
              "has_issue_template": false,
              "has_code_of_conduct": false,
              "has_pull_request_template": false
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
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                "points": 22.5,
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                "max_points": 22.5
              },
              {
                "key": "license",
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                "detail": "recognized license (Apache-2.0)",
                "points": 22.5,
                "status": "met",
                "details": [
                  {
                    "code": "license_standard",
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                  },
                  {
                    "code": "license_spdx",
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                      "spdx": "Apache-2.0"
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                ],
                "max_points": 22.5
              },
              {
                "key": "contributing_guide",
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                "points": 0,
                "status": "missed",
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                "max_points": 18
              },
              {
                "key": "code_of_conduct",
                "name": "Code of conduct",
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                "points": 0,
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              {
                "key": "issue_template",
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        ],
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      {
        "key": "governance",
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        "name": "Sustainability & Governance",
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        "weight": 0.24,
        "metrics": [
          {
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            "notes": [],
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            "inputs": {
              "bus_factor": 1,
              "contributors_sampled": 1,
              "top_contributor_share": 1
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            "components": [
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                "key": "bus_factor",
                "name": "Bus factor",
                "detail": "1 contributor(s) cover half of all commits",
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                "details": [
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                    "code": "bus_factor",
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                ],
                "max_points": 54
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              {
                "key": "commit_distribution",
                "name": "Commit distribution",
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                    "code": "top_contributor_share",
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                      "share": 100
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                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
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                "details": [
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                    "code": "contributors_sampled",
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                      "count": 1
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                  }
                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 10
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            ]
          },
          {
            "key": "responsiveness",
            "band": "at_risk",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 47,
            "inputs": {
              "merged_prs": 0,
              "open_issues": 0,
              "closed_issues": 1,
              "issue_closed_ratio": 1,
              "closed_unmerged_prs": 1
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            "components": [
              {
                "key": "issue_resolution",
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                "points": 46.8,
                "status": "met",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 100
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                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "0/1 decided PRs merged",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 0,
                      "decided": 1
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                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
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                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
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                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
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            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 63,
            "inputs": {
              "followers": 21,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "neurallayer",
              "public_repos": 33,
              "account_age_days": 2567
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "21 followers of neurallayer",
                "points": 9.7,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 21,
                      "login": "neurallayer"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "33 public repos, account ~7 yr old",
                "points": 23.2,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 33
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                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 7
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                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "roboquant"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 0
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 0 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 0
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                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "93 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 93
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 72,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "moderate",
            "name": "Engineering practices",
            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "openssf_scorecard_ci_tests"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 60,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
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              "has_precommit_config": false
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "1 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 1
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                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
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                "points": 0,
                "status": "missed",
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                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
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                "points": 0,
                "status": "excluded",
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                ],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "ai",
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                "algotrading",
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                "ml",
                "python",
                "stocks",
                "alpaca",
                "ibkr",
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                "trading"
              ],
              "has_wiki": false,
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              "has_readme": true,
              "has_docs_dir": true,
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            "components": [
              {
                "key": "readme",
                "name": "README",
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              {
                "key": "documentation_directory",
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              },
              {
                "key": "documentation_homepage_site",
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                "max_points": 15
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              {
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              },
              {
                "key": "topics",
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                "details": [
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              {
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
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        "name": "Security",
        "value": 45,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
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            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.",
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                "code": "excluded_no_data",
                "params": {
                  "components": [
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                    "signed_releases"
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 31,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
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              "scorecard_aggregate": 3.1
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            "components": [
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                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
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              {
                "key": "branch_protection",
                "name": "Branch-Protection",
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                "points": 0,
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              {
                "key": "ci_tests",
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                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
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                "status": "missed",
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              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 0.8,
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                "key": "dangerous_workflow",
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                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "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,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 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 not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "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": "no SAST tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "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": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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": "53 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
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            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 155 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 155
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 97,
              "affected_packages": 14,
              "assessed_packages": 155,
              "unassessed_packages": 0,
              "affected_by_severity": "critical 2, high 5, moderate 6, low 1",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
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                "points": 0,
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:roboquant@2.6.5; advisories assessed against the repository dependency graph instead"
  ],
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.

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