Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-18 13:30 UTC
jaidedai / easyocr
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
jaidedai/easyocr erreicht einen Gesundheitsindex von 47 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Community & Adoption (76/100) ab, am schwächsten bei Vitality (23/100). Zuletzt vor 225 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
47
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.
47
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
Jaided AIOrganisation
234 Follower1 öffentliches Reposeit Feb. 2020
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 | easyocr | 1.7.2 | - | 33 | vor 662 Tagen | ocropticalcharacterrecognitiondeeplearningneuralnetwork |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
23
Entwicklungsaktivität
7Kritisch
Wie die Bewertung erfolgt
| 3.6/36 | Push-Aktualität — letzter Push vor 225 Tagen |
| 0.7/36 | Commit-Rhythmus — 1/52 Wochen mit Commits |
| 2.7/18 | Commit-Volumen — 1 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Verwendete Eingangsdaten
| commits_last_year | 1 |
| human_commit_share | — |
| days_since_last_push | 225 |
| active_weeks_last_year | 1 |
Release-Disziplin
47Gefährdet
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 23 Releases veröffentlicht |
| 7.2/36 | Release-Aktualität — letztes Release vor 662 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 131,5 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 23 |
| latest_release_tag | v1.7.2 |
| releases_from_tags | nein |
| days_since_latest_release | 662 |
| mean_days_between_releases | 131,5 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
76
Popularität & Verbreitung
99Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 29.775 Stars |
| 25/25 | Forks — 3.586 Forks |
| 14/15 | Watcher — 329 Watcher |
Verwendete Eingangsdaten
| forks | 3.586 |
| stars | 29.775 |
| watchers | 329 |
| 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 |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
60
Maintainer-Resilienz (Bus-Faktor)
42Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 9.8/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 56 % 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 | 1 |
| contributors_sampled | 100 |
| top_contributor_share | 0,565 |
Wie die Bewertung erfolgt
| 26.3/46.8 | Issue-Lösungsquote — 56 % der Issues geschlossen |
| 29.6/38.3 | PR-Annahme — 177/229 entschiedene PRs gemergt |
| 9/15 | OpenSSF Scorecard: Code-Review — Found 15/22 approved changesets -- score normalized to 6 |
Verwendete Eingangsdaten
| merged_prs | 177 |
| open_issues | 475 |
| closed_issues | 610 |
| issue_closed_ratio | 0,562 |
| closed_unmerged_prs | 52 |
Eigentümerschaft & Trägerschaft
61Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 17/25 | Reichweite des Inhabers — 234 Follower von JaidedAI |
| 14.2/25 | Kontohistorie — 1 öffentliche Repos, Kontoalter ca. 6 Jahre |
Verwendete Eingangsdaten
| followers | 234 |
| owner_type | Organization |
| is_verified | — |
| owner_login | JaidedAI |
| public_repos | 1 |
| account_age_days | 2.335 |
Paketpflege
79Gut
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 14/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 662 Tagen |
| 20/20 | Versionshistorie — 33 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | easyocr |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 662 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
44
Engineering-Praktiken
24Kritisch
Wie die Bewertung erfolgt
| 0/24 | CI-Workflows |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 16 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | nein |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.jaided.ai |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 15 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | ocr, deep-learning, crnn, pytorch, lstm, machine-learning, scene-text, scene-text-recognition, optical-character-recognition, cnn, data-mining, image-processing, python, easyocr, information-retrieval |
| has_wiki | ja |
| homepage | https://www.jaided.ai |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
30
Sicherheitslage
30Gefährdet
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 |
| 0/2.5 | CI-Tests — 0 out of 16 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 4.5/7.5 | Code-Review — Found 15/22 approved changesets -- score normalized to 6 |
| 2.5/2.5 | Contributors — project has 9 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — keine Daten |
| 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 |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 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 — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — keine Daten |
| 0/7.5 | Vulnerabilities — 39 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 3 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): dangerous_workflow, packaging, token_permissions. 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.
30
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)
39Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 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 | ja |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
54Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 54.4/55 | Handhabbare Dateigrößen — 1/85 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 91.824 |
| source_files_sampled | 85 |
| 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, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
29.775GitHub-Sterne
100Mitwirkende
1Commits, letzte 12 Monate
225Tage seit letztem Push
23Releases
1Bus-Faktor
475offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 3.0 / 10
3.0Gesamtwert
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 |
| 0 | CI-Tests | 0 out of 16 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 6 | Code-Review | Found 15/22 approved changesets -- score normalized to 6 |
| 10 | Contributors | project has 9 contributing companies or organizations |
| k. A. | Dangerous-Workflow | no workflows found |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 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 |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| k. A. | Token-Permissions | No tokens found |
| 0 | Vulnerabilities | 39 existing vulnerabilities detected |
Alle Abhängigkeiten 22
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 22 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | conda | 4.10.3 | indirekt |
| PyPI | ninja | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | opencv-python | 4.5.3.56 | indirekt |
| PyPI | opencv-python-headless | — | indirekt |
| PyPI | pillow | — | indirekt |
| PyPI | pillow | 9.3.0 | indirekt |
| PyPI | polygon3 | 3.0.9.1 | indirekt |
| PyPI | pyclipper | — | indirekt |
| PyPI | python-bidi | — | indirekt |
| PyPI | pyyaml | — | indirekt |
| PyPI | pyyaml | 5.4.1 | indirekt |
| PyPI | scikit-image | — | indirekt |
| PyPI | scikit-image | 0.17.2 | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | shapely | — | indirekt |
| PyPI | shapely | 1.8.0 | indirekt |
| PyPI | torch | — | indirekt |
| PyPI | torch | 1.13.1 | indirekt |
| PyPI | torchvision | — | indirekt |
| PyPI | torchvision | 0.10.0 | indirekt |
| PyPI | wandb | 0.12.9 | indirekt |
JSON-Rohbericht maschinenlesbar
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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 v0.12.0 — vollständige Methodik · Metriken-Wiki.
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