Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 01:18 UTC
nhuurre / 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.
nhuurre/math erreicht einen Gesundheitsindex von 30 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 852 Tagen aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.
30
gesamt / 100Software-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.
30
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)
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.
Abandonment Policy applies a 85% multiplier to weighted overall health.
Eigentümerschaft
Niko HuurrePersönliches Konto
4 Follower7 öffentliche Reposseit Juli 2019
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | cpplintverweist auf ein anderes Repo — nicht bewertet | 2.0.2 | 555.642 | 33 | vor 473 Tagen | c++cppgoogle-stylelint |
| PyPI | google-benchmarkverweist auf ein anderes Repo — nicht bewertet | 1.9.5 | - | 12 | vor 173 Tagen | benchmark |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
17
Entwicklungsaktivität
1Kritisch
Hinweis auf Verwaisung
Arbeit ist eingegangen, und niemand hat sich darum gekümmert
seit 2080 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenReleases stehen stillOpenSSF Scorecard meldet es als ungepflegt
Stille allein ist nie der Befund — eine kleine, fertige Bibliothek braucht womöglich jahrelang keinen Commit. Dieser Hinweis verlangt beides: lange keinen menschlichen Commit und Pflichten, denen das Projekt sichtbar nicht nachkommt. Automatisierte Commits gelten nicht als Pflege.
Wie Verwaisung bewertet wirdWie die Bewertung erfolgt
| 0/36 | Push-Aktualität — letzter Push vor 852 Tagen |
| 0/36 | Commit-Rhythmus — 0/52 Wochen mit Commits |
| 0/18 | Commit-Volumen — 0 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Verwendete Eingangsdaten
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 852 |
| active_weeks_last_year | 0 |
Release-Disziplin
40Gefährdet
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 17 Versions-Tags (keine GitHub-Releases) |
| 0/36 | Release-Aktualität — letztes Release vor 2.564 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 103,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 17 |
| latest_release_tag | v2.20.0 |
| releases_from_tags | ja |
| days_since_latest_release | 2.564 |
| mean_days_between_releases | 103,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
12
Popularität & Verbreitung
1Kritisch
Wie die Bewertung erfolgt
| 0/60 | Stars — 0 Stars |
| 0/25 | Forks — 0 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 0 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
25Kritisch
Wie die Bewertung erfolgt
| 0/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (BSD-3-Clause) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | nein |
| has_license | nein |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
45
Wie die Bewertung erfolgt
| 43.2/54 | Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab |
| 16.4/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 27 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 83 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 4 |
| contributors_sampled | 83 |
| top_contributor_share | 0,273 |
Reaktionsfähigkeit bei Issues & PRs
1Kritisch
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 0/38.3 | PR-Annahme — keine entschiedenen Pull Requests oder keine Daten |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, PR-Annahme. Die verbleibenden Gewichte wurden renormalisiert.
Eigentümerschaft & Trägerschaft
42Gefährdet
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 5/25 | Reichweite des Inhabers — 4 Follower von nhuurre |
| 18.6/25 | Kontohistorie — 7 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 4 |
| owner_type | User |
| is_verified | — |
| owner_login | nhuurre |
| public_repos | 7 |
| account_age_days | 2.557 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
58
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .flake8, .pylintrc, tox.ini |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
25Kritisch
Wie die Bewertung erfolgt
| 0/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://mc-stan.org |
| 0/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://mc-stan.org |
| has_readme | nein |
| has_docs_dir | nein |
| has_description | nein |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
39
Sicherheitslage
39Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — keine Daten |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 21 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 5/5 | Fuzzing — project is fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3,9 |
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.
55
AI-Agentenkontext & Leitlinien
18Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 17.6/40 | Lesbare Commit-Historie — 33 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,33 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — lib/benchmark_1.5.1/googletest/googletest/scripts/test/Makefile, lib/boost_1.72.0/libs/convert/makefile, lib/boost_1.72.0/libs/fiber/examples/cuda/Makefile, lib/boost_1.72.0/libs/fiber/examples/hip/Makefile, lib/boost_1.72.0/libs/numeric/odeint/examples/gmpxx/Makefile, lib/boost_1.72.0/libs/numeric/odeint/examples/thrust/Makefile, lib/boost_1.72.0/libs/numeric/odeint/performance/Makefile, lib/boost_1.72.0/libs/numeric/odeint/performance/SIMD/Makefile, lib/boost_1.72.0/libs/numeric/odeint/test_external/thrust/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/bzip2-1.0.6/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/blast/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/minizip/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/puff/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/untgz/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/nintendods/Makefile, lib/tbb_2019_U8/Makefile, lib/tbb_2019_U8/python/Makefile, lib/tbb_2019_U8/python/rml/Makefile, lib/tbb_2019_U8/src/Makefile, makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .flake8, .pylintrc, tox.ini |
| 11/11 | Statische Typprüfung — C++ (statisch typisiert) |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | ja |
| typed_language | ja |
| bootstrap_files | lib/benchmark_1.5.1/googletest/googletest/scripts/test/Makefile, lib/boost_1.72.0/libs/convert/makefile, lib/boost_1.72.0/libs/fiber/examples/cuda/Makefile, lib/boost_1.72.0/libs/fiber/examples/hip/Makefile, lib/boost_1.72.0/libs/numeric/odeint/examples/gmpxx/Makefile, lib/boost_1.72.0/libs/numeric/odeint/examples/thrust/Makefile, lib/boost_1.72.0/libs/numeric/odeint/performance/Makefile, lib/boost_1.72.0/libs/numeric/odeint/performance/SIMD/Makefile, lib/boost_1.72.0/libs/numeric/odeint/test_external/thrust/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/bzip2-1.0.6/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/blast/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/minizip/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/puff/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/untgz/Makefile, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/nintendods/Makefile, lib/tbb_2019_U8/Makefile, lib/tbb_2019_U8/python/Makefile, lib/tbb_2019_U8/python/rml/Makefile, lib/tbb_2019_U8/src/Makefile, makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | lib/boost_1.72.0/libs/math/dot_net_example/distribution_explorer/distribution_explorer.csproj, lib/boost_1.72.0/tools/boost_install/test/iostreams/zlib-1.2.11/contrib/dotzlib/DotZLib/DotZLib.csproj |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
99Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 54/55 | Handhabbare Dateigrößen — 382/21.579 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C++ |
| largest_source_bytes | 2.328.744 |
| source_files_sampled | 21.579 |
| oversized_source_files | 382 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — demos, example, examples, samples |
Verwendete Eingangsdaten
| example_dirs | demos, example, examples, samples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
0GitHub-Sterne
83Mitwirkende
0Commits, letzte 12 Monate
852Tage seit letztem Push
17Releases
4Bus-Faktor
0offene Issues
—Paket-Ökosysteme
Warnungen zur Datenerhebung
- 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
Weitere Details
OpenSSF Scorecard 3.9 / 10
3.9Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| k. A. | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 21 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 10 | Fuzzing | project is fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Alle Abhängigkeiten 0
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess
JSON-Rohbericht maschinenlesbar
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"published_at": "2017-12-11T17:33:20Z"
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{
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"published_at": "2017-09-06T02:28:51Z"
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{
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"tag": "v2.10.0",
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"published_at": "2016-06-17T14:32:00Z"
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"tag": "v2.9.0",
"kind": "minor",
"published_at": "2015-12-04T03:09:27Z"
},
{
"tag": "v2.8.0",
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"tag": "v2.7.0",
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],
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"components": [
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{
"code": "owner_personal",
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{
"key": "verified_domain",
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{
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{
"key": "track_record",
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{
"code": "public_repos",
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{
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},
{
"key": "engineering",
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"name": "Engineering Quality",
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"weight": 0.2,
"metrics": [
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"key": "engineering_practices",
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"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
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"code": "excluded_no_data",
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{
"key": "tests_present",
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{
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{
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{
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{
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{
"key": "wiki",
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],
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{
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{
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{
"key": "code_review",
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{
"key": "contributors",
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{
"key": "dangerous_workflow",
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{
"key": "dependency_update_tool",
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{
"key": "fuzzing",
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{
"key": "license",
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"points": 2.5,
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{
"key": "maintained",
"name": "Maintained",
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{
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{
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"status": "missed",
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{
"key": "signed_releases",
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{
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{
"key": "vulnerabilities",
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{
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"components": [
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"key": "policy_exposure_multiplier",
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{
"key": "ai_readiness",
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"key": "ai_agent_context",
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{
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"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-26T01:18:41.468685Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/nhuurre/math.svg",
"full_name": "nhuurre/math",
"license_state": "standard",
"license_spdx": "BSD-3-Clause"
}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 Statistiken — PyPI.