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Software-GesundheitsberichtSchema 0.15.0 · Metriken 1.13.0 · 2026-07-19 21:16 UTC

Josverl / micropython-stubs

Stubs of most MicroPython ports, boards and versions to make writing code that much simpler.

PythonMIT★ 311 Sterne⑂ 30 Forksseit Okt. 2020Auf GitHub ansehen ↗

Josverl/micropython-stubs erreicht einen Gesundheitsindex von 66 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei Security (45/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

66
gesamt / 100
Mittel

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.

66
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

Jos VerlindePersönliches Konto
72 Follower245 öffentliche Reposseit Aug. 2011@microsoft

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

Metriken nach Kategorie

Vitalität

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

96Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
35.3/36Commit-Rhythmus — 51/52 Wochen mit Commits
18/18Commit-Volumen — 674 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year674
human_commit_share
days_since_last_push0
active_weeks_last_year51
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 14 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 53 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 94,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count14
latest_release_tagsetup-stubs_v0.1.28
releases_from_tagsnein
days_since_latest_release53
mean_days_between_releases94,4
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?

53Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
40.4/60Stars — 311 Stars
12.2/25Forks — 30 Forks
3.3/15Watcher — 5 Watcher
Verwendete Eingangsdaten
forks30
stars311
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
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?

46Gefährdet · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.7/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 97 % der Commits
13.5/13.5Breite der Beitragenden — 11 Beitragende
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Verwendete Eingangsdaten
bus_factor1
contributors_sampled11
top_contributor_share0,97
Wie die Bewertung erfolgt
38.1/46.8Issue-Lösungsquote — 82 % der Issues geschlossen
19/38.3PR-Annahme — 357/720 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs357
open_issues29
closed_issues128
issue_closed_ratio0,815
closed_unmerged_prs363
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
13.4/25Reichweite des Inhabers — 72 Follower von Josverl
25/25Kontohistorie — 245 öffentliche Repos, Kontoalter ca. 14 Jahre
Verwendete Eingangsdaten
followers72
owner_typeUser
is_verified
owner_loginJosverl
public_repos245
account_age_days5.452
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

88Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 13 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .pylintrc
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

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://micropython-stubs.readthedocs.io
10/10Repository-Beschreibung
10/10Topics — 13 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsmicropython, vscode, type-checking, static-typing, mypy-stubs, pyright, pylance, pylint, pycharm-ide, type-stubs, awesome-micropython, mypy, pyscript
has_wikija
homepagehttps://micropython-stubs.readthedocs.io
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

45Gefährdet · 16 % des Gesamtindex

Sicherheitslage

45Gefährdet
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
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
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
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4,5
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.

79Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .github/copilot-instructions.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes10.363
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile, justfile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .pylintrc
11/11Statische Typprüfung — publish/micropython-stdlib-stubs/pyrightconfig.json
10/10Reproduzierbare Umgebung — devcontainer, Dockerfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languagenein
bootstrap_filesdocs/Makefile, justfile
has_devcontainerja
has_linter_configja
typecheck_configspublish/micropython-stdlib-stubs/pyrightconfig.json
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (publish/micropython-stdlib-stubs/pyrightconfig.json)
55/55Handhabbare Dateigrößen — 8/17.152 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes869.838
source_files_sampled17.152
oversized_source_files8
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
20/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks, samples
Verwendete Eingangsdaten
example_dirsexamples, notebooks, samples
has_mcp_signalja
api_schema_files

Eckdaten

311GitHub-Sterne
11Mitwirkende
674Commits, letzte 12 Monate
0Tage seit letztem Push
14Releases
1Bus-Faktor
29offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • File tree truncated by GitHub API; file-based signals may be incomplete
  • Could not fetch pypi package 'micropython-stubs' from its registry

Weitere Details

OpenSSF Scorecard 4.5 / 10
4.5Gesamtwert

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 · 2026-07-19 21:15 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
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 12 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Alle Abhängigkeiten 13

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 13 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIgoogle-cloud-bigqueryindirekt
PyPIjinja2indirekt
PyPImicropython-stdlib-stubsindirekt
PyPImicropython-stubberindirekt
PyPImpflashindirekt
PyPImyst-parserindirekt
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PyPIpyrightindirekt
PyPIpythonindirekt
PyPIsphinxindirekt
PyPIsphinx-autoapiindirekt
PyPIsphinx-rtd-themeindirekt
PyPIsphinxcontrib-mermaidindirekt
JSON-Rohbericht maschinenlesbar
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
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                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
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              {
                "key": "repository_description",
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                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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              {
                "key": "topics",
                "name": "Topics",
                "detail": "13 topics",
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                "status": "met",
                "details": [
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                    "code": "topics_count",
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                "max_points": 10
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                "key": "wiki",
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                "points": 10,
                "status": "met",
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          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
        "metrics": [
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                "code": "excluded_no_data",
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            "value": 45,
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              "checks_inconclusive": 3,
              "scorecard_aggregate": 4.5
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            "components": [
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                "key": "binary_artifacts",
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                "points": 7.5,
                "status": "met",
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              {
                "key": "branch_protection",
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                "key": "ci_tests",
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                "max_points": 2.5
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              {
                "key": "cii_best_practices",
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                "key": "code_review",
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          {
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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              "assessed_self_published_locations": 7
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                "key": "policy_exposure_multiplier",
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                "points": 100,
                "status": "met",
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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                "details": [],
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                    "code": "no_data",
                    "params": {}
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                "max_points": 40
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          },
          {
            "key": "ai_verify_loop",
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                "code": "excluded_no_data",
                "params": {
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                "key": "automated_maintenance",
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                "max_points": 40
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              {
                "key": "mcp_server",
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              },
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                "key": "runnable_examples",
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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."
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    "metrics_version": "1.13.0"
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  "warnings": [
    "File tree truncated by GitHub API; file-based signals may be incomplete",
    "Could not fetch pypi package 'micropython-stubs' from its registry"
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  "report_type": "repository",
  "generated_at": "2026-07-19T21:16:04.868023Z",
  "schema_version": "0.15.0",
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}

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