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"parser", "babel", "swc", "ecmascript-parser", "typescript", "typescript-compiler", "typescript-parser" ], "license_spdx": "Apache-2.0", "license_state": "standard", "stars": 34163, "forks": 1533, "watchers": 182, "monthly_downloads": 1246493, "latest_score": 96, "latest_band": "exceptional", "latest_scanned_at": "2026-08-05T01:26:43.411729Z", "has_high_risk_jurisdiction_exposure": false, "has_malicious_dependency": false, "growth_authenticity": "unverified", "abandonment_state": "maintained", "red_flags": [], "icon_url": "/icon/v1/swc-project/swc?v=400c5222-1", "icon_source_type": "homepage", "badge_url": "" }, { "id": 47628, "full_name": "pytorch/TensorRT", "url": "https://github.com/pytorch/TensorRT", "description": "PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT", "ecosystem": "pypi", "ecosystems": [ "pypi" ], "primary_language": "Python", "languages": [ "Python", "Jupyter Notebook", "C++" ], "topics": [ "tensorrt", "libtorch", "machine-learning", "pytorch", 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"graphql-parser", "apollographql", "fuzzer", "graphql-tooling", "test-case-generator", "development-tools", "web-programming", "parser-implementations", "compilers", "parsing" ], "license_spdx": "Apache-2.0", "license_state": "standard", "stars": 606, "forks": 49, "watchers": 24, "monthly_downloads": 129864, "latest_score": 90, "latest_band": "excellent", "latest_scanned_at": "2026-07-21T20:14:07.371688Z", "has_high_risk_jurisdiction_exposure": false, "has_malicious_dependency": false, "growth_authenticity": "organic", "abandonment_state": "maintained", "red_flags": [], "icon_url": "", "icon_source_type": null, "badge_url": "" }, { "id": 46582, "full_name": "nooga/let-go", "url": "https://github.com/nooga/let-go", "description": "Almost Clojure written in Go.", "ecosystem": "go", "ecosystems": [ "go" ], "primary_language": "Go", "languages": [ "Go", "Clojure" ], "topics": [ "go", "clojure", "interpreter", "compiler", "vm", "scripting-language" ], "license_spdx": "MIT", "license_state": "standard", "stars": 535, "forks": 26, "watchers": 3, "monthly_downloads": null, "latest_score": 86, "latest_band": "excellent", "latest_scanned_at": "2026-07-29T14:35:33.759936Z", "has_high_risk_jurisdiction_exposure": false, "has_malicious_dependency": false, "growth_authenticity": "unverified", "abandonment_state": "maintained", "red_flags": [], "icon_url": "", "icon_source_type": null, "badge_url": "" } ] } }
Öffentliches Register
Software-GesundheitsberichtSchema 0.31.0 · Metriken 2.5.0 · 2026-08-08 16:29 UTC

JuliaPlanners / PDDL.jl

Julia parser, interpreter and compiler interface for the Planning Domain Definition Language (PDDL). Planners not included.

JuliaApache-2.0★ 89 Sterne⑂ 9 Forksseit Jan. 2020Auf GitHub ansehen ↗
#planning#artificial-intelligence#julia#pddl#compiler#parser#interpreter

JuliaPlanners/PDDL.jl erreicht einen Gesundheitsindex von 33 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (72/100) ab, am schwächsten bei AI Readiness (11/100). Zuletzt vor 702 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

33
gesamt / 100
Gefährdet

Software-Gesundheitsindex

Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.

33
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Exzellent80-92Durchgehend stark; geringfügige Lücken
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende 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.

Der gewichtete Gesamtwert 43 wird auf der veröffentlichten Indexskala auf 39 kalibriert (Register-Kalibrierung 2026-08-02).

Eigentümerschaft

Julia PlannersOrganisation
24 Follower5 öffentliche Reposseit Aug. 2020

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

Metriken nach Kategorie

Vitalität

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

25Gefährdet · 21 % des Gesamtindex

Entwicklungsaktivität

1Kritisch
Wie die Bewertung erfolgt
0/36Push-Aktualität — letzter Push vor 702 Tagen
0/36Commit-Rhythmus — 0/52 Wochen mit Commits
0/18Commit-Volumen — 0 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_year0
human_commit_share0,97
days_since_last_push702
active_weeks_last_year0

Release-Disziplin

60Mittel
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 23 Releases veröffentlicht
7.2/36Release-Aktualität — letztes Release vor 702 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 87,8 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count23
latest_release_tagv0.2.18
releases_from_tagsnein
days_since_latest_release702
mean_days_between_releases87,8
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?

46Schwach · 17 % des Gesamtindex

Popularität & Verbreitung

42Schwach
Wie die Bewertung erfolgt
31.5/60Stars — 89 Stars
7.5/25Forks — 9 Forks
2.7/15Watcher — 4 Watcher
Verwendete Eingangsdaten
forks9
stars89
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community-Gesundheit

50Mittel
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
readme_badges5
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
readme_badge_servicesshields.io
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

46Schwach · 23 % des Gesamtindex

Maintainer-Resilienz (Bus-Faktor)

23Gefährdet
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.1/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
4.1/13.5Breite der Beitragenden — 3 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled3
top_contributor_share0,995

Reaktionsfähigkeit bei Issues & PRs

63Mittel
Wie die Bewertung erfolgt
32.1/42Issue-Lösungsquote — 76 % der Issues geschlossen
22.5/30PR-Annahme — 6/8 entschiedene PRs gemergt
0/13Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs6
open_issues4
closed_issues13
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0,765
closed_unmerged_prs2
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): newcomer_pr_acceptance. Die verbleibenden Gewichte wurden renormalisiert.

Eigentümerschaft & Trägerschaft

58Mittel
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
10.1/25Reichweite des Inhabers — 24 Follower von JuliaPlanners
17.6/25Kontohistorie — 5 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers24
owner_typeOrganization
is_verified—
owner_loginJuliaPlanners
public_repos5
account_age_days2.184

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

72Gut · 19 % des Gesamtindex

Engineering-Praktiken

60Mittel
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://juliaplanners.github.io/PDDL.jl/dev
10/10Repository-Beschreibung
10/10Topics — 7 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsplanning, artificial-intelligence, julia, pddl, compiler, parser, interpreter
has_wikinein
homepagehttps://juliaplanners.github.io/PDDL.jl/dev
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

33Gefährdet · 16 % des Gesamtindex

Sicherheitslage

33Gefährdet
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 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
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
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3,3
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? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.

11Kritisch · 4 % des Gesamtindex

AI-Agentenkontext & Leitlinien

1Kritisch
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0.5/40Lesbare Commit-Historie — 1 von 97 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,01
agent_instruction_files—
agent_instruction_max_bytes—

AI-Verify-Loop (Build / Test / Typprüfung)

22Gefährdet
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/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 — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles—
has_dockerfilenein
typed_languagenein
bootstrap_files—
has_devcontainernein
has_linter_confignein
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

AI-Code-Lesbarkeit für Modelle

1Kritisch
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Julia ohne Typprüfungs-Konfiguration
0/55Handhabbare Dateigrößen — keine Quelldateien erkannt
Verwendete Eingangsdaten
primary_languageJulia
largest_source_bytes—
source_files_sampled0
oversized_source_files0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Handhabbare Dateigrößen. Die verbleibenden Gewichte wurden renormalisiert.

Eckdaten

89GitHub-Sterne
3Mitwirkende
0Commits, letzte 12 Monate
702Tage seit letztem Push
23Releases
1Bus-Faktor
4offene Issues
—Paket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 9 ⇿
0Sterne
9Forks
22Releases

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.

0246810912020-052022-052024-04
Major 0Minor 2Patch 20

Jeder Punkt umfasst 4 Tage.

OpenSSF Scorecard 3.3 / 10
3.3Gesamtwert

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 · 2026-08-08 16:28 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 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not 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
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 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.

RegistryPaketVersionBeziehung
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess

JSON-Rohbericht maschinenlesbar

Verwandte Einträge

Geprüfte Repositories, die Katalog-Tags oder Ökosysteme mit JuliaPlanners/PDDL.jl teilen. Nebeneinander lesen →

98markedjs/markedA markdown parser and compiler. Built for speed.Außergewöhnlich97oxc-project/oxc⚓ A collection of high-performance JavaScript tools.Außergewöhnlich96swc-project/swcRust-based platform for the WebAußergewöhnlich92pytorch/TensorRTPyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRTExzellent90apollographql/apollo-rsSpec compliant GraphQL Tools in Rust.Exzellent86nooga/let-goAlmost Clojure written in Go.Exzellent

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 v2.5.0, Schema v0.31.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.