A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
lightgbm-org/LightGBM erreicht einen Gesundheitsindex von 40 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (96/100) ab, am schwächsten bei Security (45/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
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.
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.
Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 50 % auf die gewichtete Gesamtgesundheit an und begrenzt sie auf die Obergrenze Gefährdet von 49.
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | lightgbm | 4.7.0 | - | 38 | vor 1 Tag |
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 34.6/36 | Commit-Rhythmus — 50/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 170 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10 |
| commits_last_year | 170 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 50 |
| 27/27 | Liefert Releases aus — 35 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 1 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 143,4 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
| releases_count | 35 |
| latest_release_tag | v4.7.0 |
| releases_from_tags | nein |
| days_since_latest_release | 1 |
| mean_days_between_releases | 143,4 |
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
| 60/60 | Stars — 18.601 Stars |
| 25/25 | Forks — 4.039 Forks |
| 14.6/15 | Watcher — 417 Watcher |
| forks | 4.039 |
| stars | 18.601 |
| watchers | 417 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | nein |
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 16.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 26 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 37 contributing companies or organizations |
| bus_factor | 2 |
| contributors_sampled | 100 |
| top_contributor_share | 0,264 |
| 41.1/46.8 | Issue-Lösungsquote — 88 % der Issues geschlossen |
| 34.1/38.3 | PR-Annahme — 3.224/3.614 entschiedene PRs gemergt |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 27/28 approved changesets -- score normalized to 9 |
| merged_prs | 3.224 |
| open_issues | 445 |
| closed_issues | 3.228 |
| issue_closed_ratio | 0,879 |
| closed_unmerged_prs | 390 |
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 9.2/25 | Reichweite des Inhabers — 18 Follower von lightgbm-org |
| 4.2/25 | Kontohistorie — 2 öffentliche Repos, Kontoalter ca. 0 Jahre |
| followers | 18 |
| owner_type | Organization |
| is_verified | — |
| owner_login | lightgbm-org |
| public_repos | 2 |
| account_age_days | 135 |
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 1 Tagen |
| 20/20 | Versionshistorie — 38 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
| packages | lightgbm |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 1 |
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
| 24/24 | CI-Workflows — 14 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — biome.json |
| 9.6/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | ja |
| has_linter_config | ja |
| has_precommit_config | ja |
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://lightgbm.readthedocs.io/en/latest/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 13 Topics |
| 0/10 | Wiki |
| topics | gbdt, gbm, machine-learning, data-mining, distributed, lightgbm, gbrt, decision-trees, gradient-boosting, python, r, parallel, kaggle |
| has_wiki | nein |
| homepage | https://lightgbm.readthedocs.io/en/latest/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
Grundlage sind selbst veröffentlichte öffentliche Profilstandorte. Dieses Governance-Signal bestimmt weder Nationalität, Staatsangehörigkeit, Absicht, Sanktionsstatus noch persönliche Vertrauenswürdigkeit.
So wird Jurisdiktionsexposition bewertet| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6.8/7.5 | Code-Review — Found 27/28 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 37 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 2/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 3/7.5 | Vulnerabilities — 6 existing vulnerabilities detected |
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,9 |
| high_risk_jurisdiction_cap | 49 |
| high_risk_jurisdiction_multiplier | 50 |
| security_posture_after_multiplier | 35 |
| security_posture_before_jurisdiction | 70 |
| 26.6/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: scipy 1.7.2 (unknown) |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 37.2/40 | Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 1.111 Tagen veröffentlicht |
| source | osv |
| advisories | 7 |
| affected_packages | 3 |
| assessed_packages | 8 |
| unassessed_packages | 12 |
| affected_by_severity | high 1, moderate 1, unknown 1 |
| direct_affected_packages | 1 |
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.
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — biome.json |
| 11/11 | Statische Typprüfung — python-package/lightgbm/py.typed |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 4/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | ja |
| typed_language | ja |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | python-package/lightgbm/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 51.9/55 | Handhabbare Dateigrößen — 12/215 Quelldateien über 60 KB |
| primary_language | C++ |
| largest_source_bytes | 211.851 |
| source_files_sampled | 215 |
| oversized_source_files | 12 |
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
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 |
| k. A. | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 9 | Code-Review | Found 27/28 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 37 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 4 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 4 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 4 | Vulnerabilities | 6 existing vulnerabilities detected |
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | narwhals | >=1.15 | python-package/pyproject.toml |
| PyPI | numpy | >=1.21.3 | python-package/pyproject.toml |
| PyPI | scipy | — | python-package/pyproject.toml |
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 5 direkte und 15 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | narwhals | — | direkt |
| PyPI | narwhals | 1.15.0 | direkt |
| PyPI | numpy | — | direkt |
| PyPI | numpy | 1.22.4 | direkt |
| PyPI | scipy | 1.7.2 | direkt |
| PyPI | cffi | 1.15.1 | indirekt |
| PyPI | cloudpickle | — | indirekt |
| PyPI | dask | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | pandas | — | indirekt |
| PyPI | pandas | 1.3.4 | indirekt |
| PyPI | polars | — | indirekt |
| PyPI | polars | 1.0.0 | indirekt |
| PyPI | psutil | — | indirekt |
| PyPI | pyarrow | — | indirekt |
| PyPI | pyarrow | 16.0.0 | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | scikit-build-core | — | indirekt |
| PyPI | scikit-learn | — | indirekt |
| PyPI | scikit-learn | 1.0.2 | indirekt |
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 8 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 3 tragen bekannte Advisories, davon 1 direkte. 12 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| pyarrow | 16.0.0 | indirekt | hoch | 3 | 23.0.1 |
| scikit-learn | 1.0.2 | indirekt | mittel | 2 | 1.5.0 |
| scipy | 1.7.2 | direkt | unbekannt | 2 | 1.10.0 |
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.
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],
"max_points": 35
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{
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"points": 20,
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"details": [
{
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"count": 38
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],
"max_points": 20
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{
"key": "not_deprecated",
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},
{
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"band": "excellent",
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"value": 96,
"weight": 0.2,
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"key": "engineering_practices",
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"note": null,
"notes": [],
"value": 100,
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"name": "CI workflows",
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"points": 24,
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"details": [
{
"code": "ci_workflows",
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],
"max_points": 24
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{
"key": "tests_present",
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"points": 24,
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{
"key": "linter_config",
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{
"key": "pre_commit_hooks",
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"points": 9.6,
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{
"key": "editorconfig",
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"points": 6.4,
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{
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"details": [],
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},
{
"key": "documentation",
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"note": null,
"notes": [],
"value": 90,
"inputs": {
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"components": [
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"details": [],
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{
"key": "documentation_directory",
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"points": 25,
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{
"key": "documentation_homepage_site",
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{
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"points": 10,
"status": "met",
"details": [],
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{
"key": "topics",
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"points": 10,
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"max_points": 10
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{
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"status": "missed",
"details": [],
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]
}
],
"description": "Are baseline engineering and documentation practices in place?"
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{
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"weight": 0.16,
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"notes": [
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{
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{
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"checks_inconclusive": 2,
"scorecard_aggregate": 6.9,
"high_risk_jurisdiction_cap": 49,
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"components": [
{
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"points": 7.5,
"status": "met",
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{
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"points": 0,
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{
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"status": "met",
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{
"key": "cii_best_practices",
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"points": 0,
"status": "missed",
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{
"key": "code_review",
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"points": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
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{
"key": "dependency_update_tool",
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"status": "met",
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{
"key": "fuzzing",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
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"points": 2.5,
"status": "met",
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},
{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
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"details": [],
"max_points": 7.5
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{
"key": "packaging",
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"points": 0,
"status": "excluded",
"details": [
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"params": {}
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{
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"points": 2,
"status": "partial",
"details": [],
"max_points": 5
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{
"key": "sast",
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{
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"points": 5,
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"details": [],
"max_points": 5
},
{
"key": "signed_releases",
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"points": 0,
"status": "missed",
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"max_points": 7.5
},
{
"key": "token_permissions",
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},
{
"key": "vulnerabilities",
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"details": [],
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}
]
},
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"code": "advisories_repo_graph_caveat",
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{
"code": "advisories_reachability",
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}
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"affected_packages": 3,
"assessed_packages": 8,
"unassessed_packages": 12,
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"direct_affected_packages": 1
},
"components": [
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"code": "advisories_affected",
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"code": "advisories_stale",
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]
},
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"notes": [],
"value": 100,
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}
],
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]
}
],
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{
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"points": 0,
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"code": "no_agent_instructions",
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"max_points": 45
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{
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},
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"toolchain_manifests": [],
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{
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{
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"max_points": 10
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{
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
"max_points": 10
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{
"key": "automated_maintenance",
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"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
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],
"max_points": 8
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{
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"points": 4,
"status": "partial",
"details": [],
"max_points": 10
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]
},
{
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"largest_source_bytes": 211851,
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"oversized_source_files": 12
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"status": "met",
"details": [
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"code": "statically_typed_language",
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{
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"points": 51.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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"oversized": 12
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"detail": null,
"points": 0,
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"details": [],
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{
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"points": 0,
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}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-20T18:37:44.500908Z",
"schema_version": "0.16.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/lightgbm-org/LightGBM.svg",
"full_name": "lightgbm-org/LightGBM",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.16.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.