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Software-GesundheitsberichtSchema 0.15.0 · Metriken 1.13.0 · 2026-07-19 12:10 UTC
RobotLocomotion / drake
Model-based design and verification for robotics.
RobotLocomotion/drake erreicht einen Gesundheitsindex von 81 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei AI Readiness (48/100). Zuletzt heute aktualisiert. 5 Mitwirkende tragen den Großteil der jüngsten Arbeit.
81
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.
81
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.
Eigentümerschaft
RobotLocomotionOrganisation
512 Follower58 öffentliche Reposseit Jan. 2014
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?
96
Entwicklungsaktivität
100Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 36/36 | Commit-Rhythmus — 52/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 1.251 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 1.251 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
Release-Disziplin
90Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 92 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 3 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 23,6 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 92 |
| latest_release_tag | v1.55.0 |
| releases_from_tags | nein |
| days_since_latest_release | 3 |
| mean_days_between_releases | 23,6 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
81
Popularität & Verbreitung
96Exzellent
Wie die Bewertung erfolgt
| 58.6/60 | Stars — 4.110 Stars |
| 25/25 | Forks — 1.378 Forks |
| 12.4/15 | Watcher — 168 Watcher |
Verwendete Eingangsdaten
| forks | 1.378 |
| stars | 4.110 |
| watchers | 168 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
64Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| 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?
83
Maintainer-Resilienz (Bus-Faktor)
87Exzellent
Wie die Bewertung erfolgt
| 45.9/54 | Bus-Faktor — 5 Beitragende decken die Hälfte aller Commits ab |
| 17.5/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 22 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 23 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 5 |
| contributors_sampled | 100 |
| top_contributor_share | 0,223 |
Reaktionsfähigkeit bei Issues & PRs
86Exzellent
Wie die Bewertung erfolgt
| 42.3/46.8 | Issue-Lösungsquote — 90 % der Issues geschlossen |
| 34.4/38.3 | PR-Annahme — 16.088/17.912 entschiedene PRs gemergt |
| 9/15 | OpenSSF Scorecard: Code-Review — Found 17/28 approved changesets -- score normalized to 6 |
Verwendete Eingangsdaten
| merged_prs | 16.088 |
| open_issues | 654 |
| closed_issues | 6.142 |
| issue_closed_ratio | 0,904 |
| closed_unmerged_prs | 1.824 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 19.5/25 | Reichweite des Inhabers — 512 Follower von RobotLocomotion |
| 24.9/25 | Kontohistorie — 58 öffentliche Repos, Kontoalter ca. 12 Jahre |
Verwendete Eingangsdaten
| followers | 512 |
| owner_type | Organization |
| is_verified | — |
| owner_login | RobotLocomotion |
| public_repos | 58 |
| account_age_days | 4.558 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
89
Engineering-Praktiken
88Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .ruff.toml |
| 0/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | ja |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://drake.mit.edu |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 2 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | robotics, drake |
| has_wiki | nein |
| homepage | https://drake.mit.edu |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
49
Sicherheitslage
49Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.2/2.5 | CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 4.5/7.5 | Code-Review — Found 17/28 approved changesets -- score normalized to 6 |
| 2.5/2.5 | Contributors — project has 23 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 |
| 2.2/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 1.5/7.5 | Vulnerabilities — 8 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,9 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging. 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.
48
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .ruff.toml |
| 11/11 | Statische Typprüfung — C++ (statisch typisiert) |
| 10/10 | Reproduzierbare Umgebung — Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 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 | pdm.lock |
| has_dockerfile | ja |
| typed_language | ja |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
99Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 53.7/55 | Handhabbare Dateigrößen — 97/3.985 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C++ |
| largest_source_bytes | 579.610 |
| source_files_sampled | 3.985 |
| oversized_source_files | 97 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
4.110GitHub-Sterne
100Mitwirkende
1.251Commits, letzte 12 Monate
0Tage seit letztem Push
92Releases
5Bus-Faktor
654offene Issues
—Paket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.9 / 10
4.9Gesamtwert
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 |
| 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 |
| 9 | CI-Tests | 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 6 | Code-Review | Found 17/28 approved changesets -- score normalized to 6 |
| 10 | Contributors | project has 23 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 |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 2 | Vulnerabilities | 8 existing vulnerabilities detected |
Alle Abhängigkeiten 50
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 50 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | anyio | 4.14.1 | indirekt |
| PyPI | anysqlite | 0.0.5 | indirekt |
| PyPI | ast-serialize | 0.5.0 | indirekt |
| PyPI | blinker | 1.9.0 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | dep-logic | 0.6.0 | indirekt |
| PyPI | distlib | 0.4.3 | indirekt |
| PyPI | filelock | 3.29.4 | indirekt |
| PyPI | findpython | 0.8.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hishel | 1.3.0 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | id | 1.6.1 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | installer | 1.0.1 | indirekt |
| PyPI | ipywidgets | — | indirekt |
| PyPI | librt | 0.11.0 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mosek | 11.1.2 | indirekt |
| PyPI | msgpack | 1.2.1 | indirekt |
| PyPI | mypy | 2.1.0 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | notebook | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pathspec | 1.1.1 | indirekt |
| PyPI | pbs-installer | 2026.6.10 | indirekt |
| PyPI | pdm | — | indirekt |
| PyPI | pdm | 2.28.0 | indirekt |
| PyPI | pillow | — | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | pydot | — | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyproject-hooks | 1.2.0 | indirekt |
| PyPI | python-discovery | 1.4.2 | indirekt |
| PyPI | python-dotenv | 1.2.2 | indirekt |
| PyPI | pyyaml | — | indirekt |
| PyPI | resolvelib | 1.2.1 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | socksio | 1.0.0 | indirekt |
| PyPI | tomlkit | 0.15.0 | indirekt |
| PyPI | truststore | 0.10.4 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | unearth | 0.18.2 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | virtualenv | 21.5.1 | indirekt |
JSON-Rohbericht maschinenlesbar
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"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 579610,
"source_files_sampled": 3985,
"oversized_source_files": 97,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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{
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{
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{
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{
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{
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{
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{
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{
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{
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],
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{
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{
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{
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{
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{
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{
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{
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"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/r/RobotLocomotion/drake.svg",
"full_name": "RobotLocomotion/drake",
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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 v0.15.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.