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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 01:04 UTC

rok-cesnovar / math

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

C++BSD-3-Clause★ 1 Stern⑂ 0 Forksseit Apr. 2020ForkAuf GitHub ansehen ↗

rok-cesnovar/math erreicht einen Gesundheitsindex von 41 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (58/100) ab, am schwächsten bei Community & Adoption (12/100). Zuletzt vor 339 Tagen aktualisiert. 5 Mitwirkende tragen den Großteil der jüngsten Arbeit.

41
gesamt / 100
Gefährdet

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.

41
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

Rok ČešnovarPersönliches Konto
56 Follower18 öffentliche Reposseit Mai 2017

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIcpplintverweist auf ein anderes Repo — nicht bewertet2.0.2563.04133vor 473 Tagenc++cppgoogle-stylelint
PyPIgoogle-benchmarkverweist auf ein anderes Repo — nicht bewertet1.9.5-12vor 173 Tagenbenchmark

Metriken nach Kategorie

Vitalität

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

27Kritisch · 22 % des Gesamtindex
Wie die Bewertung erfolgt
3.6/36Push-Aktualität — letzter Push vor 339 Tagen
1.4/36Commit-Rhythmus — 2/52 Wochen mit Commits
13.6/18Commit-Volumen — 32 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year32
human_commit_share0,99
days_since_last_push339
active_weeks_last_year2

Release-Disziplin

40Gefährdet
Wie die Bewertung erfolgt
16.2/27Liefert Releases aus — 20 Versions-Tags (keine GitHub-Releases)
0/36Release-Aktualität — letztes Release vor 2.368 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 97,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count20
latest_release_tagv3.1.1
releases_from_tagsja
days_since_latest_release2.368
mean_days_between_releases97,4
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?

12Kritisch · 18 % des Gesamtindex
Wie die Bewertung erfolgt
0/60Stars — 1 Stars
0/25Forks — 0 Forks
0/15Watcher — 1 Watcher
Verwendete Eingangsdaten
forks0
stars1
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
0/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmenein
has_licensenein
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?

52Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
45.9/54Bus-Faktor — 5 Beitragende decken die Hälfte aller Commits ab
17.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 20 % der Commits
13.5/13.5Breite der Beitragenden — 99 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 18 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor5
contributors_sampled99
top_contributor_share0,204
Wie die Bewertung erfolgt
7.8/46.8Issue-Lösungsquote — 17 % der Issues geschlossen
0/38.3PR-Annahme — 0/7 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs0
open_issues5
closed_issues1
issue_closed_ratio0,167
closed_unmerged_prs7
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
12.6/25Reichweite des Inhabers — 56 Follower von rok-cesnovar
21.3/25Kontohistorie — 18 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers56
owner_typeUser
is_verified
owner_loginrok-cesnovar
public_repos18
account_age_days3.367
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

58Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .flake8, .pylintrc, tox.ini
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_configja
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.

Dokumentation

25Kritisch
Wie die Bewertung erfolgt
0/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://mc-stan.org
0/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepagehttps://mc-stan.org
has_readmenein
has_docs_dirnein
has_descriptionnein

Sicherheit

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

56Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
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
2.5/2.5Contributors — project has 18 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5,6
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

55Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
6.5/40Lesbare Commit-Historie — 12 von 99 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,121
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — lib/benchmark_1.5.1/googletest/googletest/scripts/test/Makefile, lib/boost_1.87.0/libs/convert/makefile, lib/boost_1.87.0/libs/numeric/odeint/performance/Makefile, lib/boost_1.87.0/libs/numeric/odeint/performance/SIMD/Makefile, lib/boost_1.87.0/libs/numeric/odeint/test_external/thrust/Makefile, lib/tbb_2020.3/Makefile, lib/tbb_2020.3/python/Makefile, lib/tbb_2020.3/python/rml/Makefile, lib/tbb_2020.3/src/Makefile, makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .flake8, .pylintrc, tox.ini
11/11Statische Typprüfung — C++ (statisch typisiert)
10/10Reproduzierbare Umgebung — Dockerfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
8/8Automatisierte Wartung — 1 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languageja
bootstrap_fileslib/benchmark_1.5.1/googletest/googletest/scripts/test/Makefile, lib/boost_1.87.0/libs/convert/makefile, lib/boost_1.87.0/libs/numeric/odeint/performance/Makefile, lib/boost_1.87.0/libs/numeric/odeint/performance/SIMD/Makefile, lib/boost_1.87.0/libs/numeric/odeint/test_external/thrust/Makefile, lib/tbb_2020.3/Makefile, lib/tbb_2020.3/python/Makefile, lib/tbb_2020.3/python/rml/Makefile, lib/tbb_2020.3/src/Makefile, makefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,01
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — C++ (statisch typisiert)
54/55Handhabbare Dateigrößen — 319/17.616 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC++
largest_source_bytes1.058.369
source_files_sampled17.616
oversized_source_files319
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — demos, example, examples, samples
Verwendete Eingangsdaten
example_dirsdemos, example, examples, samples
has_mcp_signalnein
api_schema_files

Eckdaten

1GitHub-Sterne
99Mitwirkende
32Commits, letzte 12 Monate
339Tage seit letztem Push
20Releases
5Bus-Faktor
5offene Issues
Paket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Community profile unavailable
  • pypi package 'cpplint' points at a different repository (https://github.com/cpplint/cpplint); excluded from ecosystem scoring
  • pypi package 'google-benchmark' points at a different repository (https://github.com/google/benchmark.git); excluded from ecosystem scoring
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

OpenSSF Scorecard 5.6 / 10
5.6Gesamtwert

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 · 2026-07-26 01:04 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
10Contributorsproject has 18 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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                "key": "ownership_backing",
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                "key": "track_record",
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    "Community profile unavailable",
    "pypi package 'cpplint' points at a different repository (https://github.com/cpplint/cpplint); excluded from ecosystem scoring",
    "pypi package 'google-benchmark' points at a different repository (https://github.com/google/benchmark.git); excluded from ecosystem scoring",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
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  "generated_at": "2026-07-26T01:04:59.054067Z",
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.