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Software-GesundheitsberichtSchema 0.17.0 · Metriken 1.13.0 · 2026-07-21 04:47 UTC

stanfordnlp / stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

PythonEigene Lizenz★ 7.845 Sterne⑂ 946 Forksseit Sept. 2017Auf GitHub ansehen ↗

stanfordnlp/stanza erreicht einen Gesundheitsindex von 78 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei AI Readiness (31/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

78
gesamt / 100
Gut

Software-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.

78
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)
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.

Eigentümerschaft

Stanford NLPOrganisation
2.684 Follower55 öffentliche Reposseit Dez. 2012

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIstanza1.14.0-33vor 6 Tagennatural-language-processingnlpnatural-language-understandingstanford-nlpdeep-learning

Metriken nach Kategorie

Vitalität

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

96Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
33.9/36Commit-Rhythmus — 49/52 Wochen mit Commits
18/18Commit-Volumen — 495 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year495
human_commit_share
days_since_last_push0
active_weeks_last_year49
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 35 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 6 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 74,5 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count35
latest_release_tagv1.14.0
releases_from_tagsnein
days_since_latest_release6
mean_days_between_releases74,5
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?

85Exzellent · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 7.845 Stars
24.8/25Forks — 946 Forks
11.9/15Watcher — 138 Watcher
Verwendete Eingangsdaten
forks946
stars7.845
watchers138
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

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

70Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 73 % der Commits
13.5/13.5Breite der Beitragenden — 60 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 18 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled60
top_contributor_share0,732
Wie die Bewertung erfolgt
42.6/46.8Issue-Lösungsquote — 91 % der Issues geschlossen
32.5/38.3PR-Annahme — 521/614 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 1/15 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs521
open_issues86
closed_issues887
issue_closed_ratio0,912
closed_unmerged_prs93
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
24.7/25Reichweite des Inhabers — 2.684 Follower von stanfordnlp
24.7/25Kontohistorie — 55 öffentliche Repos, Kontoalter ca. 13 Jahre
Verwendete Eingangsdaten
followers2.684
owner_typeOrganization
is_verified
owner_loginstanfordnlp
public_repos55
account_age_days4.966

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 6 Tagen
20/20Versionshistorie — 33 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesstanza
ecosystemspypi
any_deprecatednein
min_days_since_publish6

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

80Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 10 out of 11 merged PRs checked by a CI test -- score normalized to 9
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://stanfordnlp.github.io/stanza/
10/10Repository-Beschreibung
10/10Topics — 10 Topics
10/10Wiki
Verwendete Eingangsdaten
topicspython, nlp, natural-language-processing, machine-learning, deep-learning, artificial-intelligence, pytorch, universal-dependencies, named-entity-recognition, corenlp
has_wikija
homepagehttps://stanfordnlp.github.io/stanza/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

52Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.2/2.5CI-Tests — 10 out of 11 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/15 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 18 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
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
5/5Security-Policy — security policy file 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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5,2
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, 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.

31Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
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
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
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_files
has_devcontainernein
has_linter_confignein
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.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
54.5/55Handhabbare Dateigrößen — 5/611 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes75.769
source_files_sampled611
oversized_source_files5
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — doc/CoreNLP.proto
0/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalnein
api_schema_filesdoc/CoreNLP.proto

Eckdaten

7.845GitHub-Sterne
60Mitwirkende
495Commits, letzte 12 Monate
0Tage seit letztem Push
35Releases
1Bus-Faktor
86offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • deps.dev does not index pypi:stanza@1.14.0; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

Weitere Details

Stern- und Fork-Verlauf 7.845 ★ / 0 ⇿
7.845Sterne

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.

6.5007.0007.5008.0007.845112024-032025-052026-07

Jeder Punkt umfasst 3 Tage.

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).Scorecard v5.5.0 · 2026-07-21 04:46 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
9CI-Tests10 out of 11 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/15 approved changesets -- score normalized to 0
10Contributorsproject has 18 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten 26

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 26 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIcheck-manifestindirekt
PyPIcoverageindirekt
PyPIdatasetsindirekt
PyPIemojiindirekt
PyPIhuggingface-hubindirekt
PyPIipythonindirekt
PyPIjiebaindirekt
PyPImatplotlibindirekt
PyPImorphsegindirekt
PyPInetworkxindirekt
PyPInumpyindirekt
PyPIpeftindirekt
PyPIplatformdirsindirekt
PyPIprotobufindirekt
PyPIpytestindirekt
PyPIpythainlpindirekt
PyPIpython-crfsuiteindirekt
PyPIrequestsindirekt
PyPIspacyindirekt
PyPIstreamlitindirekt
PyPIsudachidict-coreindirekt
PyPIsudachipyindirekt
PyPItorchindirekt
PyPItqdmindirekt
PyPItransformersindirekt
PyPIudtoolsindirekt
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem

JSON-Rohbericht maschinenlesbar
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                "key": "owner_reach",
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                "detail": "2,684 followers of stanfordnlp",
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            "key": "package_maintenance",
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                "points": 25,
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                "key": "code_review",
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                "key": "security_policy",
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                "key": "signed_releases",
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                "key": "token_permissions",
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                "status": "missed",
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              {
                "key": "vulnerabilities",
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    "metrics_version": "1.13.0"
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  "warnings": [
    "deps.dev does not index pypi:stanza@1.14.0; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T04:47:09.772132Z",
  "schema_version": "0.17.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/stanfordnlp/stanza.svg",
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  "license_state": "custom",
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}

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