Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.9.0 · Metriken 1.13.0 · 2026-07-13 01:16 UTC
PaddlePaddle / PaddleOCR
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
PaddlePaddle/PaddleOCR erreicht einen Gesundheitsindex von 82 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (92/100) ab, am schwächsten bei Security (52/100). Zuletzt vor 16 Tagen aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.
82
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.
82
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
PaddlePaddleOrganisation
7.188 Follower109 öffentliche Reposseit Nov. 2016
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | langchain-paddleocr | 0.2.2 | 273 | 4 | vor 31 Tagen |
| PyPI | paddleocr_mcp | 0.8.5 | 9.318 | 13 | vor 31 Tagen |
| PyPI | paddleocr | 3.7.0 | 2.584.111 | 65 | vor 31 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
92
Entwicklungsaktivität
87Exzellent
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 16 Tagen |
| 29.8/36 | Commit-Rhythmus — 43/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 256 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 256 |
| human_commit_share | — |
| days_since_last_push | 16 |
| active_weeks_last_year | 43 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 33 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 31 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 32,7 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 33 |
| latest_release_tag | v3.7.0 |
| releases_from_tags | nein |
| days_since_latest_release | 31 |
| mean_days_between_releases | 32,7 |
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?
82
Popularität & Verbreitung
100Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 85.313 Stars |
| 25/25 | Forks — 11.007 Forks |
| 15/15 | Watcher — 554 Watcher |
Verwendete Eingangsdaten
| forks | 11.007 |
| stars | 85.313 |
| watchers | 554 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 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 |
Ökosystem-Verbreitung (Downloads)
100Exzellent
Wie die Bewertung erfolgt
| 80/80 | Downloads pro Monat — 2.593.702 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | langchain-paddleocr, paddleocr_mcp, paddleocr |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2.593.702 |
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?
87
Maintainer-Resilienz (Bus-Faktor)
85Exzellent
Wie die Bewertung erfolgt
| 43.2/54 | Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab |
| 18.2/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 19 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 4 |
| contributors_sampled | 100 |
| top_contributor_share | 0,19 |
Reaktionsfähigkeit bei Issues & PRs
85Exzellent
Wie die Bewertung erfolgt
| 46.1/46.8 | Issue-Lösungsquote — 99 % der Issues geschlossen |
| 31/38.3 | PR-Annahme — 3.198/3.947 entschiedene PRs gemergt |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 16/30 approved changesets -- score normalized to 5 |
Verwendete Eingangsdaten
| merged_prs | 3.198 |
| open_issues | 146 |
| closed_issues | 10.451 |
| issue_closed_ratio | 0,986 |
| closed_unmerged_prs | 749 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 7.188 Follower von PaddlePaddle |
| 25/25 | Kontohistorie — 109 öffentliche Repos, Kontoalter ca. 9 Jahre |
Verwendete Eingangsdaten
| followers | 7.188 |
| owner_type | Organization |
| is_verified | — |
| owner_login | PaddlePaddle |
| public_repos | 109 |
| account_age_days | 3.524 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 3 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 31 Tagen |
| 20/20 | Versionshistorie — 65 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | langchain-paddleocr, paddleocr_mcp, paddleocr |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 31 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
89
Engineering-Praktiken
88Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 9 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — eslint.config.js |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 14/20 | OpenSSF Scorecard: CI-Tests — 19 out of 26 merged PRs checked by a CI test -- score normalized to 7 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.paddleocr.com |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 13 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | ai4science, chineseocr, document-parsing, document-translation, kie, ocr, paddleocr-vl, pdf-extractor-rag, pdf-parser, pdf2markdown, pp-ocr, pp-structure, rag |
| has_wiki | nein |
| homepage | https://www.paddleocr.com |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
52
Sicherheitslage
52Mittel
Wie die Bewertung erfolgt
| 6/7.5 | Binary-Artifacts — binaries present in source code |
| 0/7.5 | Branch-Protection — keine Daten |
| 1.8/2.5 | CI-Tests — 19 out of 26 merged PRs checked by a CI test -- score normalized to 7 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 16/30 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 9 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 |
| 7.5/7.5 | Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 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 |
| 0/7.5 | Vulnerabilities — 77 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,2 |
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? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
56
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.
AI-Verify-Loop (Build / Test / Typprüfung)
86Exzellent
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — deploy/avh/Makefile, deploy/lite/Makefile, langchain-paddleocr/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — eslint.config.js |
| 11/11 | Statische Typprüfung — api_sdk/typescript/tsconfig.json, langchain-paddleocr/langchain_paddleocr/py.typed, mcp_server/paddleocr_mcp/py.typed, paddleocr-js/apps/demo/tsconfig.json, paddleocr-js/packages/core/tsconfig.json, paddleocr-js/tsconfig.json |
| 10/10 | Reproduzierbare Umgebung — Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht 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 | package-lock.json, uv.lock |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | deploy/avh/Makefile, deploy/lite/Makefile, langchain-paddleocr/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | api_sdk/typescript/tsconfig.json, langchain-paddleocr/langchain_paddleocr/py.typed, mcp_server/paddleocr_mcp/py.typed, paddleocr-js/apps/demo/tsconfig.json, paddleocr-js/packages/core/tsconfig.json, paddleocr-js/tsconfig.json |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (api_sdk/typescript/tsconfig.json, langchain-paddleocr/langchain_paddleocr/py.typed, mcp_server/paddleocr_mcp/py.typed, paddleocr-js/apps/demo/tsconfig.json, paddleocr-js/packages/core/tsconfig.json, paddleocr-js/tsconfig.json) |
| 54.6/55 | Handhabbare Dateigrößen — 6/907 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 319.741 |
| source_files_sampled | 907 |
| oversized_source_files | 6 |
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | ja |
| api_schema_files | — |
Eckdaten
85.313GitHub-Sterne
100Mitwirkende
256Commits, letzte 12 Monate
16Tage seit letztem Push
33Releases
4Bus-Faktor
146offene Issues
npm, PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 5.2 / 10
5.2Gesamtwert
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).
| 8 | Binary-Artifacts | binaries present in source code |
| 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 |
| 7 | CI-Tests | 19 out of 26 merged PRs checked by a CI test -- score normalized to 7 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 16/30 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 9 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 |
| 10 | Maintained | 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow 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 |
| 0 | Vulnerabilities | 77 existing vulnerabilities detected |
Direkte Abhängigkeiten 16
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | paddleocr | >=3.7.0 | langchain-paddleocr/pyproject.toml |
| PyPI | langchain-core | >=1.2.5,<2.0.0 | langchain-paddleocr/pyproject.toml |
| PyPI | pydantic | >=2.0.0,<3.0.0 | langchain-paddleocr/pyproject.toml |
| PyPI | mcp | >=1.5.0 | mcp_server/pyproject.toml |
| PyPI | fastmcp | >=2.0.0 | mcp_server/pyproject.toml |
| PyPI | httpx | >=0.24.0 | mcp_server/pyproject.toml |
| PyPI | numpy | >=1.24.0 | mcp_server/pyproject.toml |
| PyPI | paddleocr | >=3.7.0 | mcp_server/pyproject.toml |
| PyPI | pillow | >=9.0.0 | mcp_server/pyproject.toml |
| PyPI | puremagic | >=1.30.0 | mcp_server/pyproject.toml |
| PyPI | typing-extensions | >=4.0.0 | mcp_server/pyproject.toml |
| PyPI | paddlex | >=3.7.0,<3.8.0 | pyproject.toml |
| PyPI | PyYAML | >=6 | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | aiohttp | >=3.8.0 | pyproject.toml |
| PyPI | typing-extensions | >=4.12 | pyproject.toml |
JSON-Rohbericht maschinenlesbar
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"first_published_at": "2025-11-19T08:26:14.357906Z",
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"latest_version_yanked": null,
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"is_deprecated": false,
"latest_version": "3.7.0",
"repository_url": "https://github.com/PaddlePaddle/PaddleOCR.git",
"versions_count": 65,
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"monthly_downloads": 2584111,
"first_published_at": "2020-08-22T07:18:15.558782Z",
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"latest_version_yanked": null,
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}
]
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"popularity": {
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"stars": 85313,
"watchers": 554,
"open_issues_and_prs": 225
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples"
],
"has_llms_txt": false,
"has_dockerfile": true,
"has_mcp_signal": true,
"bootstrap_files": [
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],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [
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"langchain-paddleocr/langchain_paddleocr/py.typed",
"mcp_server/paddleocr_mcp/py.typed",
"paddleocr-js/apps/demo/tsconfig.json",
"paddleocr-js/packages/core/tsconfig.json",
"paddleocr-js/tsconfig.json"
],
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"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PaddlePaddle/PaddleOCR.svg",
"full_name": "PaddlePaddle/PaddleOCR",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 v0.9.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.