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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:59 UTC

pandas-dev / pandas-stubs

Public type stubs for pandas

PythonBSD-3-Clause★ 324 Sterne⑂ 177 Forksseit Apr. 2022Auf GitHub ansehen ↗

pandas-dev/pandas-stubs erreicht einen Gesundheitsindex von 76 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Sustainability & Governance (86/100) ab, am schwächsten bei Vitality (60/100). Zuletzt vor 2 Tagen aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.

76
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.

76
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

pandasOrganisation
5.321 Follower16 öffentliche Reposseit Aug. 2016

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpandas-stubs3.0.3.260530-139vor 47 Tagen

Metriken nach Kategorie

Vitalität

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

60Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 2 Tagen
34.6/36Commit-Rhythmus — 50/52 Wochen mit Commits
18/18Commit-Volumen — 365 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year365
human_commit_share
days_since_last_push2
active_weeks_last_year50
Wie die Bewertung erfolgt
0/27Liefert Releases aus — keine Releases veröffentlicht
0/36Release-Aktualität — keine Releases
0/27Release-Rhythmus — keine Releases
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count0
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?

77Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
40.7/60Stars — 324 Stars
18.7/25Forks — 177 Forks
5/15Watcher — 9 Watcher
Verwendete Eingangsdaten
forks177
stars324
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templateja

Nachhaltigkeit & Governance

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

86Exzellent · 24 % des Gesamtindex
Wie die Bewertung erfolgt
36/54Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab
17.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 22 % der Commits
13.5/13.5Breite der Beitragenden — 100 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor3
contributors_sampled100
top_contributor_share0,218
Wie die Bewertung erfolgt
44.2/46.8Issue-Lösungsquote — 94 % der Issues geschlossen
35.4/38.3PR-Annahme — 1.034/1.117 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs1.034
open_issues37
closed_issues640
issue_closed_ratio0,945
closed_unmerged_prs83
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 5.321 Follower von pandas-dev
21/25Kontohistorie — 16 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers5.321
owner_typeOrganization
is_verified
owner_loginpandas-dev
public_repos16
account_age_days3.614

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 47 Tagen
20/20Versionshistorie — 139 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespandas-stubs
ecosystemspypi
any_deprecatednein
min_days_since_publish47

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

84Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
16/20OpenSSF Scorecard: CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

70Gut · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2/2.5CI-Tests — 26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 16 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
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
5/5Pinned-Dependencies — all dependencies are pinned
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
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): 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.

72Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes4.313
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
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — pandas-stubs/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configspandas-stubs/py.typed
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
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (pandas-stubs/py.typed)
52.7/55Handhabbare Dateigrößen — 7/171 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes157.327
source_files_sampled171
oversized_source_files7

Eckdaten

324GitHub-Sterne
100Mitwirkende
365Commits, letzte 12 Monate
2Tage seit letztem Push
0Releases
3Bus-Faktor
37offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 7.0 / 10
7.0Gesamtwert

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).Scorecard v5.5.0 · 2026-07-17 00:59 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
8CI-Tests26 out of 30 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 16 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 1
RegistryPaketVersionsvorgabeManifest
PyPInumpy>=1.23.5,<2.5pyproject.toml
Alle Abhängigkeiten 110

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 1 direkte und 109 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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PyPIast-serialize0.6.0indirekt
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PyPIcachetools6.2.6indirekt
PyPIcertifi2026.6.17indirekt
PyPIcfgv3.5.0indirekt
PyPIcharset-normalizer3.4.9indirekt
PyPIclick8.4.2indirekt
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PyPIpre-commit4.6.0indirekt
PyPIpy-cpuinfo9.0.0indirekt
PyPIpyarrow25.0.0indirekt
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PyPIpyrefly1.1.1indirekt
PyPIpyright1.1.411indirekt
PyPIpyroaring1.1.0indirekt
PyPIpytest9.1.1indirekt
PyPIpython-calamine0.7.0indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-discovery1.4.4indirekt
PyPIpytokens0.4.1indirekt
PyPIpytz2026.2indirekt
PyPIpyxlsb1.0.10indirekt
PyPIpyyaml6.0.3indirekt
PyPIrequests2.34.2indirekt
PyPIrich14.3.4indirekt
PyPIscipy1.17.1indirekt
PyPIscipy-stubs1.16.0.2indirekt
PyPIsix1.17.0indirekt
PyPIsortedcontainers2.4.0indirekt
PyPIsoupsieve2.8.4indirekt
PyPIsqlalchemy2.0.51indirekt
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PyPItables3.11.1indirekt
PyPItabulate0.10.0indirekt
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PyPIthreadpoolctl3.6.0indirekt
PyPIty0.0.58indirekt
PyPItypes-python-dateutil2.9.0.20260518indirekt
PyPItypes-pytz2026.2.0.20260518indirekt
PyPItyping-extensions4.16.0indirekt
PyPItyping-inspection0.4.2indirekt
PyPItzdata2026.3indirekt
PyPIurllib32.7.0indirekt
PyPIvirtualenv21.6.1indirekt
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PyPIwin32-setctime1.2.0indirekt
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PyPIxlrd2.0.2indirekt
PyPIxlsxwriter3.2.9indirekt
PyPIzstandard0.25.0indirekt
JSON-Rohbericht maschinenlesbar
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}

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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.

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