Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.14.0 · 2026-08-01 10:54 UTC
datalab-to / marker
Convert PDF to markdown + JSON quickly with high accuracy
datalab-to/marker erreicht einen Gesundheitsindex von 72 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (87/100) ab, am schwächsten bei AI Readiness (37/100). Zuletzt vor 11 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
72
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.
72
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
DatalabOrganisation
828 Follower12 öffentliche Reposseit Juli 2024
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 | Tags |
|---|---|---|---|---|---|---|
| PyPI | marker-pdf | 2.0.0 | 521.987 | 82 | vor 11 Tagen | markdownnlpocrpdf |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
87
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 11 Tagen |
| 22.2/36 | Commit-Rhythmus — 32/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 208 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 208 |
| human_commit_share | 0,74 |
| days_since_last_push | 11 |
| active_weeks_last_year | 32 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 72 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 11 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 37,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 72 |
| latest_release_tag | v2.0.0 |
| releases_from_tags | nein |
| days_since_latest_release | 11 |
| mean_days_between_releases | 37,1 |
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?
80
Popularität & Verbreitung
97Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 38.094 Stars |
| 25/25 | Forks — 2.693 Forks |
| 11.8/15 | Watcher — 133 Watcher |
Verwendete Eingangsdaten
| forks | 2.693 |
| stars | 38.094 |
| watchers | 133 |
| 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)
95Exzellent
Wie die Bewertung erfolgt
| 76.2/80 | Downloads pro Monat — 521.987 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | marker-pdf |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 521.987 |
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?
62
Maintainer-Resilienz (Bus-Faktor)
42Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 9/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 60 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 26 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 26 |
| top_contributor_share | 0,599 |
Wie die Bewertung erfolgt
| 22.1/46.8 | Issue-Lösungsquote — 47 % der Issues geschlossen |
| 30.7/38.3 | PR-Annahme — 233/290 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/4 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 233 |
| open_issues | 361 |
| closed_issues | 324 |
| issue_closed_ratio | 0,473 |
| closed_unmerged_prs | 57 |
Eigentümerschaft & Trägerschaft
63Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 21/25 | Reichweite des Inhabers — 828 Follower von datalab-to |
| 12.1/25 | Kontohistorie — 12 öffentliche Repos, Kontoalter ca. 2 Jahre |
Verwendete Eingangsdaten
| followers | 828 |
| owner_type | Organization |
| is_verified | — |
| owner_login | datalab-to |
| public_repos | 12 |
| account_age_days | 736 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 11 Tagen |
| 20/20 | Versionshistorie — 82 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | marker-pdf |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 11 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
82
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 4 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.datalab.to |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://www.datalab.to |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
44
Sicherheitslage
38Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/4 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no 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 1 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 — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 29 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 3,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
67Mittel
Wie die Bewertung erfolgt
| 9.5/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: pillow 10.4.0 (critical 9.1) |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 32.6/40 | Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 170 Tagen veröffentlicht |
Verwendete Eingangsdaten
| source | osv |
| advisories | 34 |
| affected_packages | 1 |
| assessed_packages | 74 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1 |
| direct_affected_packages | 1 |
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:marker-pdf@2.0.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 74 Paketen. Erreichbarkeit wird nicht analysiert.
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.
37
AI-Agentenkontext & Leitlinien
19Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 18.7/40 | Lesbare Commit-Historie — 26 von 74 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,351 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
43Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 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 | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/172 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 21.129 |
| source_files_sampled | 172 |
| oversized_source_files | 0 |
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
38.094GitHub-Sterne
26Mitwirkende
208Commits, letzte 12 Monate
11Tage seit letztem Push
72Releases
1Bus-Faktor
361offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 2.693 ⇿
0Sterne
2.693Forks
10Releases
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 1Minor 2Patch 7
OpenSSF Scorecard 3.8 / 10
3.8Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/4 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 3 contributing companies or organizations -- score normalized to 10 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 1 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 |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 29 existing vulnerabilities detected |
Direkte Abhängigkeiten 21
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | pillow | >=10.1.0,<11 | pyproject.toml |
| PyPI | pydantic | >=2.4.2,<3 | pyproject.toml |
| PyPI | pydantic-settings | >=2.0.3,<3 | pyproject.toml |
| PyPI | transformers | >=5.12.1,<6 | pyproject.toml |
| PyPI | python-dotenv | >=1.0.0,<2 | pyproject.toml |
| PyPI | torch | >=2.7.0,<3 | pyproject.toml |
| PyPI | psutil | >=7.0.0,<8 | pyproject.toml |
| PyPI | tqdm | >=4.66.1,<5 | pyproject.toml |
| PyPI | ftfy | >=6.1.1,<7 | pyproject.toml |
| PyPI | rapidfuzz | >=3.8.1,<4 | pyproject.toml |
| PyPI | surya-ocr | >=0.22.1,<0.23.0 | pyproject.toml |
| PyPI | regex | >=2024.4.28 | pyproject.toml |
| PyPI | pdftext | >=0.7.0,<0.8.0 | pyproject.toml |
| PyPI | markdownify | >=1.1.0,<2 | pyproject.toml |
| PyPI | click | >=8.2.0,<9 | pyproject.toml |
| PyPI | markdown2 | >=2.5.2,<3 | pyproject.toml |
| PyPI | filetype | >=1.2.0,<2 | pyproject.toml |
| PyPI | google-genai | >=1.40.0,<3 | pyproject.toml |
| PyPI | anthropic | >=0.69.0,<1 | pyproject.toml |
| PyPI | openai | >=2.2.0,<3 | pyproject.toml |
| PyPI | scikit-learn | >=1.6.1,<2 | pyproject.toml |
Alle Abhängigkeiten 257
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 22 direkte und 235 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | anthropic | 0.117.0 | direkt |
| PyPI | click | 8.4.2 | direkt |
| PyPI | filetype | 1.2.0 | direkt |
| PyPI | ftfy | 6.3.1 | direkt |
| PyPI | google-genai | 2.12.1 | direkt |
| PyPI | markdown2 | 2.5.5 | direkt |
| PyPI | markdownify | 1.2.3 | direkt |
| PyPI | openai | 2.46.0 | direkt |
| PyPI | pdftext | 0.7.1 | direkt |
| PyPI | pillow | 10.4.0 | direkt |
| PyPI | psutil | 7.2.2 | direkt |
| PyPI | pydantic | 2.13.4 | direkt |
| PyPI | pydantic-settings | 2.14.2 | direkt |
| PyPI | python-dotenv | 1.2.2 | direkt |
| PyPI | rapidfuzz | 3.14.5 | direkt |
| PyPI | regex | 2026.7.19 | direkt |
| PyPI | scikit-learn | 1.7.2 | direkt |
| PyPI | scikit-learn | 1.9.0 | direkt |
| PyPI | surya-ocr | 0.22.1 | direkt |
| PyPI | torch | 2.13.0 | direkt |
| PyPI | tqdm | 4.69.0 | direkt |
| PyPI | transformers | 5.14.1 | direkt |
| PyPI | aiohappyeyeballs | 2.7.1 | indirekt |
| PyPI | aiohttp | 3.14.1 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | altair | 6.2.2 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.14.2 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | apted | 1.0.3 | indirekt |
| PyPI | argon2-cffi | 25.1.0 | indirekt |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirekt |
| PyPI | arrow | 1.4.0 | indirekt |
| PyPI | asttokens | 3.0.2 | indirekt |
| PyPI | async-lru | 2.3.0 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | beautifulsoup4 | 4.15.0 | indirekt |
| PyPI | bleach | 6.4.0 | indirekt |
| PyPI | blinker | 1.9.0 | indirekt |
| PyPI | brotli | 1.2.0 | indirekt |
| PyPI | brotlicffi | 1.2.0.1 | indirekt |
| PyPI | cachetools | 7.1.4 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | cffi | 2.1.0 | indirekt |
| PyPI | cfgv | 3.5.0 | indirekt |
| PyPI | charset-normalizer | 3.4.9 | indirekt |
| PyPI | cobble | 0.1.4 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | cryptography | 49.0.0 | indirekt |
| PyPI | cssselect2 | 0.9.0 | indirekt |
| PyPI | cuda-bindings | 13.3.1 | indirekt |
| PyPI | cuda-pathfinder | 1.5.6 | indirekt |
| PyPI | cuda-toolkit | 13.0.3.0 | indirekt |
| PyPI | datasets | 5.0.0 | indirekt |
| PyPI | debugpy | 1.8.21 | indirekt |
| PyPI | decorator | 5.3.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | dill | 0.4.1 | indirekt |
| PyPI | distance | 0.1.3 | indirekt |
| PyPI | distlib | 0.4.3 | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | docstring-parser | 0.18.0 | indirekt |
| PyPI | ebooklib | 0.18 | indirekt |
| PyPI | et-xmlfile | 2.0.0 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastapi | 0.139.2 | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | filelock | 3.31.1 | indirekt |
| PyPI | fonttools | 4.63.0 | indirekt |
| PyPI | fqdn | 1.5.1 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | fsspec | 2026.4.0 | indirekt |
| PyPI | gitdb | 4.0.12 | indirekt |
| PyPI | gitpython | 3.1.53 | indirekt |
| PyPI | google-auth | 2.55.2 | indirekt |
| PyPI | greenlet | 3.5.3 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hf-xet | 1.5.2 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httptools | 0.8.0 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | huggingface-hub | 1.24.0 | indirekt |
| PyPI | identify | 2.6.19 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | ipykernel | 7.3.0 | indirekt |
| PyPI | ipython | 8.39.0 | indirekt |
| PyPI | ipython | 9.15.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | ipywidgets | 8.1.8 | indirekt |
| PyPI | isoduration | 20.11.0 | indirekt |
| PyPI | itsdangerous | 2.2.0 | indirekt |
| PyPI | jedi | 0.20.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jiter | 0.16.0 | indirekt |
| PyPI | joblib | 1.5.3 | indirekt |
| PyPI | json5 | 0.15.0 | indirekt |
| PyPI | jsonpointer | 3.1.1 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter | 1.1.1 | indirekt |
| PyPI | jupyter-builder | 1.1.1 | indirekt |
| PyPI | jupyter-client | 8.9.1 | indirekt |
| PyPI | jupyter-console | 6.6.3 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | jupyter-events | 0.12.1 | indirekt |
| PyPI | jupyter-lsp | 2.3.1 | indirekt |
| PyPI | jupyter-server | 2.20.0 | indirekt |
| PyPI | jupyter-server-terminals | 0.5.4 | indirekt |
| PyPI | jupyterlab | 4.6.1 | indirekt |
| PyPI | jupyterlab-pygments | 0.3.0 | indirekt |
| PyPI | jupyterlab-server | 2.28.0 | indirekt |
| PyPI | jupyterlab-widgets | 3.0.16 | indirekt |
| PyPI | lark | 1.3.1 | indirekt |
| PyPI | latex2mathml | 3.81.0 | indirekt |
| PyPI | lxml | 5.3.0 | indirekt |
| PyPI | mammoth | 1.12.0 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | marker-pdf | 2.0.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib-inline | 0.2.2 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mistune | 3.3.3 | indirekt |
| PyPI | mpmath | 1.3.0 | indirekt |
| PyPI | multidict | 6.7.1 | indirekt |
| PyPI | multiprocess | 0.70.19 | indirekt |
| PyPI | narwhals | 2.24.0 | indirekt |
| PyPI | nbclient | 0.11.0 | indirekt |
| PyPI | nbconvert | 7.17.1 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | nest-asyncio2 | 1.7.2 | indirekt |
| PyPI | networkx | 3.4.2 | indirekt |
| PyPI | networkx | 3.6.1 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | notebook | 7.6.0 | indirekt |
| PyPI | notebook-shim | 0.2.4 | indirekt |
| PyPI | numpy | 2.2.6 | indirekt |
| PyPI | numpy | 2.4.6 | indirekt |
| PyPI | numpy | 2.5.1 | indirekt |
| PyPI | nvidia-cublas | 13.1.1.3 | indirekt |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirekt |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirekt |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirekt |
| PyPI | nvidia-cudnn-cu13 | 9.20.0.48 | indirekt |
| PyPI | nvidia-cufft | 12.0.0.61 | indirekt |
| PyPI | nvidia-cufile | 1.15.1.6 | indirekt |
| PyPI | nvidia-curand | 10.4.0.35 | indirekt |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirekt |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirekt |
| PyPI | nvidia-cusparselt-cu13 | 0.8.1 | indirekt |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirekt |
| PyPI | nvidia-nvjitlink | 13.3.33 | indirekt |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirekt |
| PyPI | nvidia-nvtx | 13.0.85 | indirekt |
| PyPI | opencv-python-headless | 4.11.0.86 | indirekt |
| PyPI | openpyxl | 3.1.5 | indirekt |
| PyPI | overrides | 7.7.0 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pandas | 2.3.3 | indirekt |
| PyPI | pandas | 3.0.3 | indirekt |
| PyPI | pandocfilters | 1.5.1 | indirekt |
| PyPI | parso | 0.8.7 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | platformdirs | 4.10.1 | indirekt |
| PyPI | playwright | 1.61.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | pre-commit | 4.6.0 | indirekt |
| PyPI | prometheus-client | 0.25.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | propcache | 0.5.2 | indirekt |
| PyPI | protobuf | 7.35.1 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pyarrow | 24.0.0 | indirekt |
| PyPI | pyasn1 | 0.6.4 | indirekt |
| PyPI | pyasn1-modules | 0.4.2 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pydeck | 0.9.3 | indirekt |
| PyPI | pydyf | 0.12.1 | indirekt |
| PyPI | pyee | 13.0.1 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pypdfium2 | 5.10.1 | indirekt |
| PyPI | pyphen | 0.17.2 | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | pytest-mock | 3.15.1 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-discovery | 1.4.4 | indirekt |
| PyPI | python-json-logger | 4.1.0 | indirekt |
| PyPI | python-multipart | 0.0.32 | indirekt |
| PyPI | python-pptx | 1.0.2 | indirekt |
| PyPI | pytz | 2026.2 | indirekt |
| PyPI | pywinpty | 3.0.5 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyzmq | 27.1.0 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | rfc3339-validator | 0.1.4 | indirekt |
| PyPI | rfc3986-validator | 0.1.1 | indirekt |
| PyPI | rfc3987-syntax | 1.1.0 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | rpds-py | 2026.6.3 | indirekt |
| PyPI | safetensors | 0.8.0 | indirekt |
| PyPI | scipy | 1.15.3 | indirekt |
| PyPI | scipy | 1.17.1 | indirekt |
| PyPI | scipy | 1.18.0 | indirekt |
| PyPI | send2trash | 2.1.0 | indirekt |
| PyPI | setuptools | 83.0.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | smmap | 5.0.3 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | soupsieve | 2.9 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | starlette | 1.3.1 | indirekt |
| PyPI | streamlit | 1.59.2 | indirekt |
| PyPI | streamlit-ace | 0.1.1 | indirekt |
| PyPI | sympy | 1.14.0 | indirekt |
| PyPI | tabulate | 0.10.0 | indirekt |
| PyPI | tenacity | 9.1.4 | indirekt |
| PyPI | terminado | 0.18.1 | indirekt |
| PyPI | threadpoolctl | 3.6.0 | indirekt |
| PyPI | tinycss2 | 1.5.1 | indirekt |
| PyPI | tinyhtml5 | 2.1.0 | indirekt |
| PyPI | tokenizers | 0.22.2 | indirekt |
| PyPI | toml | 0.10.2 | indirekt |
| PyPI | tomli | 2.4.1 | indirekt |
| PyPI | torchvision | 0.28.0 | indirekt |
| PyPI | tornado | 6.5.7 | indirekt |
| PyPI | traitlets | 5.15.1 | indirekt |
| PyPI | triton | 3.7.1 | indirekt |
| PyPI | typer | 0.27.0 | indirekt |
| PyPI | typing-extensions | 4.16.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2026.3 | indirekt |
| PyPI | uri-template | 1.3.0 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | uvicorn | 0.51.0 | indirekt |
| PyPI | virtualenv | 21.6.1 | indirekt |
| PyPI | watchdog | 6.0.0 | indirekt |
| PyPI | wcwidth | 0.8.2 | indirekt |
| PyPI | weasyprint | 63.1 | indirekt |
| PyPI | webcolors | 25.10.0 | indirekt |
| PyPI | webencodings | 0.5.1 | indirekt |
| PyPI | websocket-client | 1.9.0 | indirekt |
| PyPI | websockets | 16.1.1 | indirekt |
| PyPI | widgetsnbextension | 4.0.15 | indirekt |
| PyPI | xlsxwriter | 3.2.9 | indirekt |
| PyPI | xxhash | 3.8.1 | indirekt |
| PyPI | yarl | 1.24.5 | indirekt |
| PyPI | zopfli | 0.4.3 | indirekt |
Abhängigkeits-Advisories 1
Die Installation von pypi:marker-pdf@2.0.0 zieht 74 Pakete nach sich, direkt und transitiv: 1 tragen bekannte Advisories, davon 1 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| pillow | 10.4.0 | direkt | kritisch | 34 | 12.3.0 |
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"owner_type": "Organization",
"updated_at": "2026-08-01T10:26:34Z",
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],
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},
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"schema_version": "0.27.0",
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"full_name": "datalab-to/marker",
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"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 v1.14.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.