Öffentliches RegisterKritisch
Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-21 02:10 UTC
chakki-works / seqeval
A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
chakki-works/seqeval erreicht einen Gesundheitsindex von 25 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Community & Adoption (81/100) ab, am schwächsten bei Vitality (25/100). Zuletzt vor 691 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
25
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.
25
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.
Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 50 % auf die gewichtete Gesamtgesundheit an und begrenzt sie auf die Obergrenze Gefährdet von 49.
Eigentümerschaft
chakkiOrganisation
33 Follower22 öffentliche Reposseit Feb. 2017
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
25
Entwicklungsaktivität
1Kritisch
Wie die Bewertung erfolgt
| 0/36 | Push-Aktualität — letzter Push vor 691 Tagen |
| 0/36 | Commit-Rhythmus — 0/52 Wochen mit Commits |
| 0/18 | Commit-Volumen — 0 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 | 0 |
| human_commit_share | — |
| days_since_last_push | 691 |
| active_weeks_last_year | 0 |
Release-Disziplin
60Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 15 Releases veröffentlicht |
| 0/36 | Release-Aktualität — letztes Release vor 2.096 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 2,6 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 15 |
| latest_release_tag | v1.2.2 |
| releases_from_tags | nein |
| days_since_latest_release | 2.096 |
| mean_days_between_releases | 2,6 |
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?
81
Wie die Bewertung erfolgt
| 49.9/60 | Stars — 1.185 Stars |
| 17.6/25 | Forks — 130 Forks |
| 4.7/15 | Watcher — 8 Watcher |
Verwendete Eingangsdaten
| forks | 130 |
| stars | 1.185 |
| watchers | 8 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
92Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | ja |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
52
Maintainer-Resilienz (Bus-Faktor)
35Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 2.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 88 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 10 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 10 |
| top_contributor_share | 0,883 |
Wie die Bewertung erfolgt
| 31.6/46.8 | Issue-Lösungsquote — 68 % der Issues geschlossen |
| 30.1/38.3 | PR-Annahme — 26/33 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/13 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 26 |
| open_issues | 22 |
| closed_issues | 46 |
| issue_closed_ratio | 0,676 |
| closed_unmerged_prs | 7 |
Eigentümerschaft & Trägerschaft
63Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 11/25 | Reichweite des Inhabers — 33 Follower von chakki-works |
| 21.9/25 | Kontohistorie — 22 öffentliche Repos, Kontoalter ca. 9 Jahre |
Verwendete Eingangsdaten
| followers | 33 |
| owner_type | Organization |
| is_verified | — |
| owner_login | chakki-works |
| public_repos | 22 |
| account_age_days | 3.451 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
62
Engineering-Praktiken
64Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .flake8 |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 5 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
60Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 8 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | sequence-labeling, natural-language-processing, deep-learning, machine-learning, python, sequence-labeling-evaluation, conlleval, named-entity-recognition |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
34
Sicherheitslage
18Kritisch
Jurisdiktionsrisiko-Warnung
Exposition gegenüber einer Hochrisikojurisdiktion erkannt
1 Profile wichtiger MitwirkenderRussiaSicherheit und Gesamtbewertung: Obergrenze Gefährdet
Grundlage sind selbst veröffentlichte öffentliche Profilstandorte. Dieses Governance-Signal bestimmt weder Nationalität, Staatsangehörigkeit, Absicht, Sanktionsstatus noch persönliche Vertrauenswürdigkeit.
So wird Jurisdiktionsexposition bewertetWie 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 5 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 |
| 0/7.5 | Code-Review — Found 0/13 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 |
| 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 |
| 3.5/5 | SAST — SAST tool detected but not run on all commits |
| 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 |
| 0.8/7.5 | Vulnerabilities — 9 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 3,7 |
| high_risk_jurisdiction_cap | 49 |
| high_risk_jurisdiction_multiplier | 50 |
| security_posture_after_multiplier | 18 |
| security_posture_before_jurisdiction | 37 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert. Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 50 % an und begrenzt die Sicherheitslage auf die Obergrenze Gefährdet von 49.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 14 |
| affected_packages | 6 |
| assessed_packages | 22 |
| unassessed_packages | 2 |
| affected_by_severity | critical 1, high 2, moderate 2, unknown 1 |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 22 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 2 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. 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.
35
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.
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .flake8 |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 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 | Pipfile.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| 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
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/12 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 29.083 |
| source_files_sampled | 12 |
| oversized_source_files | 0 |
Eckdaten
1.185GitHub-Sterne
10Mitwirkende
0Commits, letzte 12 Monate
691Tage seit letztem Push
15Releases
1Bus-Faktor
22offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 3.7 / 10
3.7Gesamtwert
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 5 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 |
| 0 | Code-Review | Found 0/13 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 |
| 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 |
| 7 | SAST | SAST tool detected but not run on all commits |
| 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 |
| 1 | Vulnerabilities | 9 existing vulnerabilities detected |
Alle Abhängigkeiten 24
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 24 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | attrs | 20.2.0 | indirekt |
| PyPI | autopep8 | 1.5.4 | indirekt |
| PyPI | coverage | 5.3 | indirekt |
| PyPI | flake8 | 3.8.4 | indirekt |
| PyPI | iniconfig | 1.0.1 | indirekt |
| PyPI | isort | 5.6.1 | indirekt |
| PyPI | joblib | 0.17.0 | indirekt |
| PyPI | mccabe | 0.6.1 | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | numpy | 1.19.2 | indirekt |
| PyPI | packaging | 20.4 | indirekt |
| PyPI | pluggy | 0.13.1 | indirekt |
| PyPI | py | 1.9.0 | indirekt |
| PyPI | pycodestyle | 2.6.0 | indirekt |
| PyPI | pyflakes | 2.2.0 | indirekt |
| PyPI | pyparsing | 2.4.7 | indirekt |
| PyPI | pytest | 6.1.1 | indirekt |
| PyPI | pytest-cov | 2.10.1 | indirekt |
| PyPI | scikit-learn | — | indirekt |
| PyPI | scikit-learn | 0.23.2 | indirekt |
| PyPI | scipy | 1.5.2 | indirekt |
| PyPI | six | 1.15.0 | indirekt |
| PyPI | threadpoolctl | 2.1.0 | indirekt |
| PyPI | toml | 0.10.1 | indirekt |
Abhängigkeits-Advisories 6
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 22 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 6 tragen bekannte Advisories, davon 0 direkte. 2 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| joblib | 0.17.0 | indirekt | kritisch | 2 | 1.2.0 |
| py | 1.9.0 | indirekt | hoch | 2 | 1.10.0 |
| scikit-learn | 0.23.2 | indirekt | hoch | 4 | 1.5.0 |
| numpy | 1.19.2 | indirekt | mittel | 2 | 1.22 |
| pytest | 6.1.1 | indirekt | mittel | 2 | 9.0.3 |
| scipy | 1.5.2 | indirekt | unbekannt | 2 | 1.10.0 |
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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"name": "joblib",
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"advisory_count": 2,
"oldest_advisory_days": 2049
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"name": "scikit-learn",
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"version": "0.23.2",
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"advisory_ids": [
"GHSA-jw8x-6495-233v",
"GHSA-jxfp-4rvq-9h9m",
"PYSEC-2020-108",
"PYSEC-2024-110"
],
"fixed_version": "1.5.0",
"advisory_count": 4,
"oldest_advisory_days": 2067
},
{
"name": "numpy",
"direct": false,
"version": "1.19.2",
"severity": "moderate",
"ecosystem": "pypi",
"cvss_score": 5.3,
"advisory_ids": [
"GHSA-6p56-wp2h-9hxr",
"GHSA-fpfv-jqm9-f5jm"
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"fixed_version": "1.22",
"advisory_count": 2,
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{
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{
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{
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{
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{
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{
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{
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{
"key": "owner_reach",
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{
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{
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{
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{
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{
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"components": [
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"full_name": "chakki-works/seqeval",
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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 v0.16.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.