Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 01:42 UTC
alecthomas / voluptuous
CONTRIBUTIONS ONLY: Voluptuous, despite the name, is a Python data validation library.
alecthomas/voluptuous erreicht einen Gesundheitsindex von 65 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Sustainability & Governance (76/100) ab, am schwächsten bei AI Readiness (47/100). Zuletzt vor 3 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
65
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.
65
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
Alec ThomasPersönliches Konto
1.431 Follower176 öffentliche Reposseit Dez. 2008
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 |
|---|---|---|---|---|---|
| PyPI | voluptuous | 0.16.0 | - | 51 | vor 215 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
58
Entwicklungsaktivität
56Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 3 Tagen |
| 4.2/36 | Commit-Rhythmus — 6/52 Wochen mit Commits |
| 9.7/18 | Commit-Volumen — 11 Commits im letzten Jahr |
| 6/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
Verwendete Eingangsdaten
| commits_last_year | 11 |
| human_commit_share | 1 |
| days_since_last_push | 3 |
| active_weeks_last_year | 6 |
Release-Disziplin
62Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 13 Releases veröffentlicht |
| 16.2/36 | Release-Aktualität — letztes Release vor 215 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 151 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 13 |
| latest_release_tag | 0.16.0 |
| releases_from_tags | nein |
| days_since_latest_release | 215 |
| mean_days_between_releases | 151 |
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?
67
Wie die Bewertung erfolgt
| 53/60 | Stars — 1.849 Stars |
| 19.7/25 | Forks — 234 Forks |
| 8.3/15 | Watcher — 32 Watcher |
Verwendete Eingangsdaten
| forks | 234 |
| stars | 1.849 |
| watchers | 32 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | 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 | ja |
| has_license | ja |
| 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?
76
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 13.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 39 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 84 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 84 |
| top_contributor_share | 0,394 |
Wie die Bewertung erfolgt
| 40.5/46.8 | Issue-Lösungsquote — 87 % der Issues geschlossen |
| 30.9/38.3 | PR-Annahme — 231/286 entschiedene PRs gemergt |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
Verwendete Eingangsdaten
| merged_prs | 231 |
| open_issues | 34 |
| closed_issues | 219 |
| issue_closed_ratio | 0,866 |
| closed_unmerged_prs | 55 |
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 22.7/25 | Reichweite des Inhabers — 1.431 Follower von alecthomas |
| 25/25 | Kontohistorie — 176 öffentliche Repos, Kontoalter ca. 17 Jahre |
Verwendete Eingangsdaten
| followers | 1.431 |
| owner_type | User |
| is_verified | — |
| owner_login | alecthomas |
| public_repos | 176 |
| account_age_days | 6.422 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
91Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 26/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 215 Tagen |
| 20/20 | Versionshistorie — 51 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | voluptuous |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 215 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
68
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — tox.ini |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 6/20 | OpenSSF Scorecard: CI-Tests — 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://pypi.org/project/voluptuous |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://pypi.org/project/voluptuous |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
53
Sicherheitslage
53Mittel
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 |
| 0.8/2.5 | CI-Tests — 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 24/30 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 17 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 |
| 4.5/7.5 | Maintained — 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
| 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 — 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 | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,3 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): 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.
47
AI-Agentenkontext & Leitlinien
37Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 36.8/40 | Lesbare Commit-Historie — 69 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,69 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
46Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — tox.ini |
| 11/11 | Statische Typprüfung — voluptuous/py.typed |
| 0/10 | Reproduzierbare Umgebung |
| 2/10 | Belegte Agentenpraxis — 1 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 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 | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | voluptuous/py.typed |
| agent_commit_share | 0,01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (voluptuous/py.typed) |
| 50.4/55 | Handhabbare Dateigrößen — 1/12 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 69.597 |
| source_files_sampled | 12 |
| oversized_source_files | 1 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
1.849GitHub-Sterne
84Mitwirkende
11Commits, letzte 12 Monate
3Tage seit letztem Push
13Releases
2Bus-Faktor
34offene Issues
PyPIPaket-Ökosysteme
Weitere Details
Stern- und Fork-Verlauf 1.849 ★ / 234 ⇿
1.849Sterne
234Forks
13Releases
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.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
Major 0Minor 5Patch 8
Jeder Punkt umfasst 15 Tage.
OpenSSF Scorecard 5.3 / 10
5.3Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 3 | CI-Tests | 8 out of 24 merged PRs checked by a CI test -- score normalized to 3 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 24/30 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 17 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 |
| 6 | Maintained | 7 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 6 |
| 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 |
| 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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"activity": {
"releases": [
{
"tag": "0.16.0",
"kind": "minor",
"published_at": "2025-12-18T19:07:42Z"
},
{
"tag": "0.15.2",
"kind": "patch",
"published_at": "2024-07-02T19:08:32Z"
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{
"tag": "0.15.1",
"kind": "patch",
"published_at": "2024-07-02T19:08:00Z"
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{
"tag": "0.15.0",
"kind": "minor",
"published_at": "2024-06-23T21:10:48Z"
},
{
"tag": "0.14.2",
"kind": "patch",
"published_at": "2024-02-03T11:18:50Z"
},
{
"tag": "0.14.1",
"kind": "patch",
"published_at": "2023-11-17T11:08:11Z"
},
{
"tag": "0.14.0",
"kind": "minor",
"published_at": "2023-11-12T17:04:42Z"
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{
"tag": "0.13.1",
"kind": "patch",
"published_at": "2022-04-07T15:40:18Z"
},
{
"tag": "0.13.0",
"kind": "minor",
"published_at": "2022-04-07T15:36:16Z"
},
{
"tag": "0.12.2",
"kind": "patch",
"published_at": "2022-03-30T11:32:59Z"
},
{
"tag": "0.12.1",
"kind": "patch",
"published_at": "2020-12-06T22:57:19Z"
},
{
"tag": "0.12.0",
"kind": "minor",
"published_at": "2020-12-06T22:48:34Z"
},
{
"tag": "0.9.3",
"kind": "patch",
"published_at": "2016-08-10T15:26:09Z"
}
],
"recent_commits": [
{
"oid": "44593ce7c330faf9418252c4b5448f4736144a7f",
"body": "Fixes #541.\n\n`Number(precision, scale)` documents `:raises Invalid:`, but\n`Number(precision=6, scale=2)(\"Infinity\")` (also `\"NaN\"`/`\"-Infinity\"`)\nleaks a raw `TypeError(\"infinity and NaN have no precision\")`.\n`Decimal(number)` succeeds for these, then `as_tuple().exponent` is a\nstring rather than an\n[…]\n clean.\n\nThis is separate from #539, which handles `None`/`dict`/`bytes` before\nthe `Decimal()` call and explicitly leaves this non-finite path alone.\n\nSigned-off-by: Sai Asish Y <say.apm35@gmail.com>",
"is_bot": false,
"headline": "Raise Invalid for Infinity/NaN input to Number validator (#542)",
"author_name": "Sai Asish Y",
"author_login": "SAY-5",
"committed_at": "2026-07-11T01:16:47Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "73237e9014f53da32fd6f90630976f5e8279b420",
"body": "Resolves GitHub issue #409 by adding comprehensive dataclasses support:\n\nFeatures:\n- DataclassSchema class for automatic schema creation from dataclasses\n- create_dataclass_schema() function for functional API\n- is_dataclass() utility for dataclass detection\n- Automatic type validation from dataclas\n[…]\nw = 181 total)\n- Zero flake8 violations\n- Zero mypy type errors\n- Black and isort formatting applied\n- Requires Python 3.7+ for dataclasses support\n\nBreaking Changes: None\nBackward Compatibility: Full",
"is_bot": false,
"headline": "feat: implement dataclasses support for voluptuous schemas (#533)",
"author_name": "Oleksii",
"author_login": "doubledare704",
"committed_at": "2026-07-06T00:54:52Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7fec1343c443a8c887b7cb0d70dcfeb87ce54d0b",
"body": "## Summary\n\nThis PR allows `Schema.extend()` to accept another dictionary-based\n`Schema` instance.\n\nPreviously, `Schema.extend()` only accepted raw dictionary fragments:\n\n```python\nbase = Schema({\"a\": int})\nextended = base.extend({\"b\": str})\n```\n\nPassing a `Schema` instance failed because `extend()`\n[…]\nreturn behavior.\n\nFocused test command:\n\n```bash\n./.venv/bin/pytest voluptuous/tests/tests.py -k \"schema_extend or subschema_extension\"\n```\n\nResult:\n\n```text\n14 passed, 162 deselected\n```\n\nCloses #386",
"is_bot": false,
"headline": "Allow Schema.extend to accept Schema instances (#538)",
"author_name": "Aleksandr Kotlyar",
"author_login": "aleksandr-kotlyar",
"committed_at": "2026-07-05T00:01:16Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "6cf9450c7a3460f5aa102c0ba50204cc43e4e1b9",
"body": "… (#546)\n\nFixes #358.\n\n## Problem\n\n`Invalid.__str__` produces an informative message including the path and\nerror type:\n\n```\nexpected int for dictionary value @ data['k']\n```\n\nBut `Invalid` has no `__repr__`, so `repr()` falls back to the default\nexception repr and drops that context:\n\n```python\n>>>\n[…]\ne of an AI tool\n(Claude Code). I verified the behavior, added and ran the test, ran the\nsuite and linters, and take responsibility for the contribution and will\nrespond to review feedback personally.*",
"is_bot": false,
"headline": "Add __repr__ to Invalid so it surfaces the path and error type (#358)…",
"author_name": "Apoorv Darshan",
"author_login": "apoorvdarshan",
"committed_at": "2026-07-05T00:00:59Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "9dd222db18189ea11c07615c16dc54bba6cb2aed",
"body": "## Summary\n\n`Number(precision, scale)` documents `:raises Invalid:` and already\nconverts an unparsable **string** into `Invalid(\"Value must be a number\nenclosed with string\")`. But other non-numeric input leaks a raw\nexception instead:\n\n```python\n>>> from voluptuous import Schema, Number\n>>> Schema(\n[…]\nl test suite: **169 passed** (168 baseline + the new test), no\nregressions. `flake8` clean at the change.\n\n---\n\nThis pull request was prepared with the assistance of AI, under my\ndirection and review.",
"is_bot": false,
"headline": "Raise Invalid for non-numeric input to Number validator (#539)",
"author_name": "Vincent Gao",
"author_login": "gaoflow",
"committed_at": "2026-07-04T23:50:44Z",
"body_truncated": true,
"is_coding_agent": false
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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 v0.26.0 — vollständige Methodik · Metriken-Wiki.
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