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Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 07:57 UTC

Xilinx / brevitas

Brevitas: neural network quantization in PyTorch

PythonEigene Lizenz★ 1.554 Sterne⑂ 246 Forksseit Juli 2018Auf GitHub ansehen ↗

Xilinx/brevitas erreicht einen Gesundheitsindex von 75 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (95/100) ab, am schwächsten bei Security (21/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

75
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.

75
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

XilinxOrganisation
3.063 Follower465 öffentliche Reposseit Jan. 2013

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIbrevitas0.13.0-20vor 7 Tagen

Metriken nach Kategorie

Vitalität

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

93Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
30.5/36Commit-Rhythmus — 44/52 Wochen mit Commits
18/18Commit-Volumen — 143 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year143
human_commit_share1
days_since_last_push0
active_weeks_last_year44
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 38 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 7 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 105,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count38
latest_release_tagv0.13.0
releases_from_tagsnein
days_since_latest_release7
mean_days_between_releases105,4

Community & Verbreitung

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

76Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
51.8/60Stars — 1.554 Stars
19.9/25Forks — 246 Forks
8.1/15Watcher — 30 Watcher
Verwendete Eingangsdaten
forks246
stars1.554
watchers30
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
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?

76Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
11.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 47 % der Commits
13.5/13.5Breite der Beitragenden — 26 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor2
contributors_sampled26
top_contributor_share0,471
Wie die Bewertung erfolgt
31.2/46.8Issue-Lösungsquote — 67 % der Issues geschlossen
33.1/38.3PR-Annahme — 803/927 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs803
open_issues178
closed_issues357
issue_closed_ratio0,667
closed_unmerged_prs124
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 3.063 Follower von Xilinx
25/25Kontohistorie — 465 öffentliche Repos, Kontoalter ca. 13 Jahre
Verwendete Eingangsdaten
followers3.063
owner_typeOrganization
is_verified
owner_loginXilinx
public_repos465
account_age_days4.946

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 7 Tagen
20/20Versionshistorie — 20 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesbrevitas
ecosystemspypi
any_deprecatednein
min_days_since_publish7

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

95Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 27 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://xilinx.github.io/brevitas/
10/10Repository-Beschreibung
10/10Topics — 10 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsquantization, pytorch, brevitas, fpga, neural-networks, hardware-acceleration, xilinx, deep-learning, ptq, qat
has_wikija
homepagehttps://xilinx.github.io/brevitas/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

21Kritisch · 16 % des Gesamtindex
Wie die Bewertung erfolgt
0/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfiles
manifestsrequirements/requirements-dev.txt, requirements/requirements-diffusion.txt, requirements/requirements-docs.txt, requirements/requirements-export.txt, requirements/requirements-finn-integration.txt, requirements/requirements-hadamard.txt, requirements/requirements-lighteval.txt, requirements/requirements-llm.txt, requirements/requirements-notebook.txt, requirements/requirements-nox.txt, requirements/requirements-numpy.txt, requirements/requirements-ort-integration.txt, requirements/requirements-setup.txt, requirements/requirements-stt.txt, requirements/requirements-test.txt, requirements/requirements-tts.txt, requirements/requirements-vision.txt, requirements/requirements.txt, setup.cfg, setup.py
has_codeql_workflownein
has_security_policynein
has_dependabot_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. 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
advisories49
affected_packages3
assessed_packages23
unassessed_packages48
affected_by_severitycritical 1, high 2
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. 23 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 48 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. 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.

48Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 82 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,82
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docsrc/Makefile, noxfile.py
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
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 — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_filesdocsrc/Makefile, noxfile.py
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
50.3/55Handhabbare Dateigrößen — 54/627 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes315.737
source_files_sampled627
oversized_source_files54
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalnein
api_schema_files

Eckdaten

1.554GitHub-Sterne
26Mitwirkende
143Commits, letzte 12 Monate
0Tage seit letztem Push
38Releases
2Bus-Faktor
178offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • deps.dev does not index pypi:brevitas@0.13.0; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks

Weitere Details

Stern- und Fork-Verlauf 1.554 ★ / 246 ⇿
1.554Sterne
246Forks
38Releases

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.

Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.

04008001.2001.6001.554242172018-112022-092026-07
Major 0Minor 12Patch 9

Jeder Punkt umfasst 8 Tage.

Alle Abhängigkeiten 71

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 71 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIaccelerateindirekt
PyPIaccelerate1.0.1indirekt
PyPIbitstringindirekt
PyPIdatasetsindirekt
PyPIdependencies2.0.1indirekt
PyPIdiffusersindirekt
PyPIdiffusers0.30.3indirekt
PyPIgguf0.18.0indirekt
PyPIhypothesisindirekt
PyPIinflect5.6.2indirekt
PyPIjupyterindirekt
PyPIlibrosaindirekt
PyPIlighteval0.13indirekt
PyPIlxml4.9.3indirekt
PyPIm2r20.3.3.post2indirekt
PyPImockindirekt
PyPInbmakeindirekt
PyPInbsphinx0.9.3indirekt
PyPInbsphinx-link1.3.0indirekt
PyPInoxindirekt
PyPInumbaindirekt
PyPInumexprindirekt
PyPInumpyindirekt
PyPIonnxindirekt
PyPIonnxoptimizerindirekt
PyPIonnxruntimeindirekt
PyPIonnxscriptindirekt
PyPIopen-clip-torch2.26.1indirekt
PyPIopencv-python4.10.0.84indirekt
PyPIoptimumindirekt
PyPIpackagingindirekt
PyPIpandasindirekt
PyPIpandas2.2.2indirekt
PyPIpillowindirekt
PyPIpre-commitindirekt
PyPIpsutilindirekt
PyPIpycocotools2.0.7indirekt
PyPIpydanticindirekt
PyPIpydata-sphinx-theme0.15.3indirekt
PyPIpytestindirekt
PyPIpytest-casesindirekt
PyPIpytest-mockindirekt
PyPIpytest-xdistindirekt
PyPIpyyamlindirekt
PyPIqonnxindirekt
PyPIrequestsindirekt
PyPIruamel-yamlindirekt
PyPIscipyindirekt
PyPIscipy1.10.1indirekt
PyPIsetuptoolsindirekt
PyPIsetuptools-scmindirekt
PyPIsoundfileindirekt
PyPIsoxindirekt
PyPIsphinx5.3.0indirekt
PyPIsphinx-autodoc-typehints1.21.8indirekt
PyPIsphinx-gallery0.10.1indirekt
PyPIsphinxcontrib-napoleon0.7indirekt
PyPIsphinxemoji0.2.0indirekt
PyPIsympyindirekt
PyPItoposortindirekt
PyPItorchindirekt
PyPItorch-stftindirekt
PyPItorchmetricsindirekt
PyPItorchmetrics1.4.3indirekt
PyPItorchvisionindirekt
PyPItqdmindirekt
PyPItransformersindirekt
PyPItransformers4.45.2indirekt
PyPItyping-extensionsindirekt
PyPIunfoldndindirekt
PyPIunidecodeindirekt
Abhängigkeits-Advisories 3

Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 23 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 3 tragen bekannte Advisories, davon 0 direkte. 48 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.

PaketVersionBeziehungSchweregradAdvisoriesBehoben in
transformers4.45.2indirektkritisch425.5.0
diffusers0.30.3indirekthoch50.38.0
lxml4.9.3indirekthoch26.1.0

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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                ],
                "max_points": 22.5
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              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "26 contributors",
                "points": 13.5,
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                "details": [
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                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
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                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 10
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          },
          {
            "key": "responsiveness",
            "band": "good",
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            "note": null,
            "notes": [],
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              "merged_prs": 803,
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              "issue_closed_ratio": 0.667,
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                "key": "issue_resolution",
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                "detail": "67% of issues closed",
                "points": 31.2,
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                    "code": "issues_closed_share",
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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                "max_points": 15
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          },
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                "key": "verified_domain",
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              {
                "key": "owner_reach",
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                "max_points": 25
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                "key": "track_record",
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                "detail": "465 public repos, account ~13 yr old",
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                "max_points": 25
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          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
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            "inputs": {
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              "ecosystems": "pypi",
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            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
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                "max_points": 25
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              {
                "key": "publish_recency",
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                "status": "met",
                "details": [
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                "max_points": 35
              },
              {
                "key": "version_history",
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                "points": 20,
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                "details": [
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
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                "max_points": 20
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          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
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        "weight": 0.2,
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            "key": "engineering_practices",
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                "key": "ci_workflows",
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                "points": 24,
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                "details": [
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                "max_points": 24
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              {
                "key": "tests_present",
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                "points": 24,
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                "details": [],
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              {
                "key": "linter_config",
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              },
              {
                "key": "pre_commit_hooks",
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                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
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            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
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                "pytorch",
                "brevitas",
                "fpga",
                "neural-networks",
                "hardware-acceleration",
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                "deep-learning",
                "ptq",
                "qat"
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              "has_wiki": true,
              "homepage": "https://xilinx.github.io/brevitas/",
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              "has_docs_dir": true,
              "has_description": true
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            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://xilinx.github.io/brevitas/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
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              },
              {
                "key": "topics",
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                "points": 10,
                "status": "met",
                "details": [
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                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
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                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 21,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 1,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [],
              "manifests": [
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                "requirements/requirements-finn-integration.txt",
                "requirements/requirements-hadamard.txt",
                "requirements/requirements-lighteval.txt",
                "requirements/requirements-llm.txt",
                "requirements/requirements-notebook.txt",
                "requirements/requirements-nox.txt",
                "requirements/requirements-numpy.txt",
                "requirements/requirements-ort-integration.txt",
                "requirements/requirements-setup.txt",
                "requirements/requirements-stt.txt",
                "requirements/requirements-test.txt",
                "requirements/requirements-tts.txt",
                "requirements/requirements-vision.txt",
                "requirements/requirements.txt",
                "setup.cfg",
                "setup.py"
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              "has_codeql_workflow": false,
              "has_security_policy": false,
              "has_dependabot_config": false
            },
            "components": [
              {
                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": "published library — lockfiles are an application concern, not expected",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "lockfiles_not_expected",
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                ],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "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 23 resolved dependencies against OSV; 48 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). 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": {
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              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
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              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 48
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
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              "affected_packages": 3,
              "assessed_packages": 23,
              "unassessed_packages": 48,
              "affected_by_severity": "critical 1, high 2",
              "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": [
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                    "code": "no_direct_advisories",
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                ],
                "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": {}
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                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 23,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
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            "components": [
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                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "no_malicious_dependencies",
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                ],
                "max_points": 100
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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": {}
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            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
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              "policy_countries": [
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                "Iran",
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              "review_only_matches": 0,
              "assessed_self_published_locations": 5
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            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
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                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
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              "agent_instruction_max_bytes": null
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            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "status": "met",
                "details": [
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                    "code": "legible_history",
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
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            "notes": [],
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            "inputs": {
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                "status": "met",
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                "max_points": 18
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              {
                "key": "automated_tests",
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                "points": 22,
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              },
              {
                "key": "lint_format_config",
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                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_authored_commits",
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                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_dependency_automation",
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
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                ],
                "max_points": 10
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            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 50,
            "inputs": {
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              "source_files_sampled": 627,
              "oversized_source_files": 54
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_typecheck_config_language",
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "54/627 source files over 60KB",
                "points": 50.3,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
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  "warnings": [
    "deps.dev does not index pypi:brevitas@0.13.0; advisories assessed against the repository dependency graph instead",
    "OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks"
  ],
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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 v0.26.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.