Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 2.3.1 · 2026-08-01 09:32 UTC

vstorm-co / pydantic-ai-backend

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

PythonMIT★ 117 Sterne⑂ 23 Forksseit Dez. 2025Auf GitHub ansehen ↗

vstorm-co/pydantic-ai-backend erreicht einen Gesundheitsindex von 90 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Engineering Quality (96/100) ab, am schwächsten bei Security (58/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

90
gesamt / 100
Exzellent

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.

90
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 76 wird auf der veröffentlichten Indexskala auf 90 kalibriert (Register-Kalibrierung 2026-08-02).

Eigentümerschaft

VstormOrganisation
147 Follower34 öffentliche Reposseit März 2021

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpydantic-ai-backend0.2.18191.23336vor 0 Tagen

Metriken nach Kategorie

Vitalität

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

90Exzellent · 21 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
18.7/36Commit-Rhythmus — 27/52 Wochen mit Commits
18/18Commit-Volumen — 167 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year167
human_commit_share0,92
days_since_last_push0
active_weeks_last_year27

Release-Disziplin

100Außergewöhnlich
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 38 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 7,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count38
latest_release_tag0.2.18
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases7,6
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?

68Gut · 17 % des Gesamtindex
Wie die Bewertung erfolgt
33.5/60Stars — 117 Stars
11.2/25Forks — 23 Forks
2.7/15Watcher — 4 Watcher
Verwendete Eingangsdaten
forks23
stars117
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
readme_badges
has_contributingja
has_issue_templatenein
has_code_of_conductnein
readme_badge_services
has_pull_request_templateja
Wie die Bewertung erfolgt
70.4/80Downloads pro Monat — 191.233 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagespydantic-ai-backend
dependents
ecosystemspypi
total_downloads
monthly_downloads191.233
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.

Nachhaltigkeit & Governance

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

66Gut · 23 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
5.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 76 % der Commits
13.5/13.5Breite der Beitragenden — 11 Beitragende
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Verwendete Eingangsdaten
bus_factor1
contributors_sampled11
top_contributor_share0,765
Wie die Bewertung erfolgt
37.3/42Issue-Lösungsquote — 89 % der Issues geschlossen
28.2/30PR-Annahme — 62/66 entschiedene PRs gemergt
0/13Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden
1.5/15OpenSSF Scorecard: Code-Review — Found 4/23 approved changesets -- score normalized to 1
Verwendete Eingangsdaten
merged_prs62
open_issues1
closed_issues8
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0,889
closed_unmerged_prs4
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): newcomer_pr_acceptance. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
15.6/25Reichweite des Inhabers — 147 Follower von vstorm-co
22/25Kontohistorie — 34 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers147
owner_typeOrganization
is_verified
owner_loginvstorm-co
public_repos34
account_age_days1.968

Paketpflege

100Außergewöhnlich
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 36 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespydantic-ai-backend
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

96Außergewöhnlich · 19 % des Gesamtindex

Engineering-Praktiken

94Außergewöhnlich
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

100Außergewöhnlich
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://vstorm-co.github.io/pydantic-ai-backend/
10/10Repository-Beschreibung
10/10Topics — 17 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsai-agent-framework, aiagentframework, anthropic, backend, chatgpt, docker, framework, gemini, llms, mcp, multiagent, openai, pydantic, pydantic-ai, python, sandbox, vstorm
has_wikija
homepagehttps://vstorm-co.github.io/pydantic-ai-backend/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

58Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.5/2.5CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 4/23 approved changesets -- score normalized to 1
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
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_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, 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.

67Gut · 4 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 75 von 92 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,815
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes3.819
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
10/10Belegte Agentenpraxis — 14 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
8/8Automatisierte Wartung — 8 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
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_filesMakefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0,14
toolchain_manifests
dependency_bot_commit_share0,08
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
53.7/55Handhabbare Dateigrößen — 2/84 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes130.628
source_files_sampled84
oversized_source_files2
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

117GitHub-Sterne
11Mitwirkende
167Commits, letzte 12 Monate
0Tage seit letztem Push
38Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:pydantic-ai-backend@0.2.18; advisories assessed against the repository dependency graph instead

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 23 ⇿
0Sterne
23Forks
35Releases

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.

048121620242322025-122026-042026-07
Major 0Minor 2Patch 33
OpenSSF Scorecard 5.8 / 10
5.8Gesamtwert

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 · 2026-08-01 09:32 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal 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
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/23 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 2
RegistryPaketVersionsvorgabeManifest
PyPIpydantic>=2.0pyproject.toml
PyPIwcmatch>=8.0pyproject.toml
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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          "body": "Split PDF/document handling out from the image path so the two content\nkinds stay clearly distinct and can evolve independently (e.g. OCR for\nimages, native document understanding or text-extraction fallbacks for\nPDF/DOCX).\n\n- Add a dedicated `document_support` flag and `max_document_bytes` limit\n  \n[…]\nary_within_limit` for the not-found/empty and\n  size-limit guards. read_file checks image_support then document_support\n  in both edit_format variants.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
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          "oid": "08bc23b948612dc9e4cd243faabede9480907a56",
          "body": "# Conflicts:\n#\tCHANGELOG.md",
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          "headline": "Merge remote-tracking branch 'origin/main' into feat/0.2.9",
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          "headline": "Merge pull request #43 from vstorm-co/chore/ci-action-bumps",
          "author_name": "Kacper Włodarczyk",
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          "headline": "chore: bump to 0.2.9 for CI action bumps",
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          "headline": "chore: release 0.2.8",
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          "headline": "Merge pull request #40 from vstorm-co/renovate/actions-checkout-6.x",
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          "headline": "Merge pull request #39 from vstorm-co/renovate/python-3.x",
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          "headline": "Merge pull request #37 from vstorm-co/feat/backend-exists-predicate",
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          "headline": "Merge pull request #36 from vstorm-co/fix/93",
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          "body": "Add TestKillProcTree class with two cases that monkeypatch sys.platform\nto win32 and pass a MagicMock for the subprocess. Without these tests\nthe Windows branch (lines 706-708) was unreachable on Linux/macOS CI.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
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          "body": " fix: normalize trailing slashes in CompositeBackend route matching",
          "is_bot": false,
          "headline": "Merge pull request #34 from vstorm-co/fix/33",
          "author_name": "Kacper Włodarczyk",
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          "headline": "fix: linting & typing",
          "author_name": "Paweł Kiszczak",
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          "body": "Improve BaseSandbox glob_info",
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          "headline": "Merge pull request #32 from ilayu-blip/main",
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          "headline": "Merge pull request #30 from vstorm-co/feat/sandbox_sessions",
          "author_name": "Kacper Włodarczyk",
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          "headline": "feat: add docker and daytona session manager",
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          "body": "feat: wrap sync backend calls in asyncio.to_thread",
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          "headline": "Merge pull request #26 from pedroallenrevez/feat/async-protocol",
          "author_name": "Kacper Włodarczyk",
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          "headline": "docs: bump to 0.2.3 version and update CHANGELOG.md",
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          "headline": "style: ryff format",
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          "headline": "Merge branch 'main' into feat/async-protocol",
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          "headline": "Merge pull request #27 from vstorm-co/bump/31-03-2026",
          "author_name": "Kacper Włodarczyk",
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    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "deps.dev does not index pypi:pydantic-ai-backend@0.2.18; advisories assessed against the repository dependency graph instead"
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}

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