Öffentliches Register
Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 01:28 UTC

joblib / joblib

Computing with Python functions.

PythonBSD-3-Clause★ 4.374 Sterne⑂ 468 Forksseit Mai 2010Auf GitHub ansehen ↗
#python#parallel-computing#caching#multiprocessing#threading#memoization

joblib/joblib erreicht einen Gesundheitsindex von 78 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (95/100) ab, am schwächsten bei AI Readiness (50/100). Zuletzt vor 5 Tagen aktualisiert. 2 Mitwirkende tragen 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

joblibOrganisation
66 Follower8 öffentliche Reposseit Juli 2010

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIjoblib1.5.3200.480.932105vor 218 Tagen

Metriken nach Kategorie

Vitalität

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

72Gut · 22 % des Gesamtindex

Entwicklungsaktivität

73Gut
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 5 Tagen
12.5/36Commit-Rhythmus — 18/52 Wochen mit Commits
14.5/18Commit-Volumen — 40 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 13 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year40
human_commit_share0,96
days_since_last_push5
active_weeks_last_year18

Release-Disziplin

71Gut
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 9 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 218 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 111,1 Tage
8/10OpenSSF Scorecard: Signed-Releases — 4 out of the last 4 releases have a total of 4 signed artifacts.
Verwendete Eingangsdaten
releases_count9
latest_release_tag1.5.3
releases_from_tagsnein
days_since_latest_release218
mean_days_between_releases111,1

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

79Gut · 18 % des Gesamtindex

Popularität & Verbreitung

91Exzellent
Wie die Bewertung erfolgt
59.1/60Stars — 4.374 Stars
22.2/25Forks — 468 Forks
9.7/15Watcher — 56 Watcher
Verwendete Eingangsdaten
forks468
stars4.374
watchers56
growth_stateorganic
growth_factor_pct100

Community-Gesundheit

50Mittel
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Ökosystem-Verbreitung (Downloads)

100Exzellent
Wie die Bewertung erfolgt
80/80Downloads pro Monat — 200.480.932 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagesjoblib
dependents—
ecosystemspypi
total_downloads—
monthly_downloads200.480.932
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?

71Gut · 24 % des Gesamtindex

Maintainer-Resilienz (Bus-Faktor)

65Mittel
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
16/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 29 % der Commits
13.5/13.5Breite der Beitragenden — 99 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 77 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled99
top_contributor_share0,287

Reaktionsfähigkeit bei Issues & PRs

71Gut
Wie die Bewertung erfolgt
28.4/46.8Issue-Lösungsquote — 61 % der Issues geschlossen
31/38.3PR-Annahme — 650/803 entschiedene PRs gemergt
12/15OpenSSF Scorecard: Code-Review — Found 22/27 approved changesets -- score normalized to 8
Verwendete Eingangsdaten
merged_prs650
open_issues374
closed_issues581
issue_closed_ratio0,608
closed_unmerged_prs153

Eigentümerschaft & Trägerschaft

62Mittel
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
13.1/25Reichweite des Inhabers — 66 Follower von joblib
18.9/25Kontohistorie — 8 öffentliche Repos, Kontoalter ca. 16 Jahre
Verwendete Eingangsdaten
followers66
owner_typeOrganization
is_verified—
owner_loginjoblib
public_repos8
account_age_days5.850

Paketpflege

91Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
26/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 218 Tagen
20/20Versionshistorie — 105 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesjoblib
ecosystemspypi
any_deprecatednein
min_days_since_publish218

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

95Exzellent · 20 % des Gesamtindex

Engineering-Praktiken

92Exzellent
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
18/20OpenSSF Scorecard: CI-Tests — 27 out of 28 merged PRs checked by a CI test -- score normalized to 9
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — http://joblib.readthedocs.org
10/10Repository-Beschreibung
10/10Topics — 6 Topics
10/10Wiki
Verwendete Eingangsdaten
topicspython, parallel-computing, caching, multiprocessing, threading, memoization
has_wikija
homepagehttp://joblib.readthedocs.org
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

77Gut · 16 % des Gesamtindex

Sicherheitslage

77Gut
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 — 27 out of 28 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
6/7.5Code-Review — Found 22/27 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 77 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 13 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0.5/5SAST — SAST tool is not run on all commits -- score normalized to 1
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 4 out of the last 4 releases have a total of 4 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection. 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.

50Mittel · 0 % des Gesamtindex

AI-Agentenkontext & Leitlinien

40Gefährdet
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 85 von 96 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,885
agent_instruction_files—
agent_instruction_max_bytes—

AI-Verify-Loop (Build / Test / Typprüfung)

59Mittel
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — Makefile, doc/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
8/8Automatisierte Wartung — 4 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
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_filesMakefile, doc/Makefile
has_devcontainernein
has_linter_configja
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0,04

AI-Code-Lesbarkeit für Modelle

54Mittel
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
53.8/55Handhabbare Dateigrößen — 2/90 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes87.898
source_files_sampled90
oversized_source_files2

Maschinenlesbare AI-Schnittstellen

40Gefährdet
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files—

Eckdaten

4.374GitHub-Sterne
99Mitwirkende
40Commits, letzte 12 Monate
5Tage seit letztem Push
9Releases
2Bus-Faktor
374offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • No resolved dependencies carried a version and a supported ecosystem

Weitere Details

Stern- und Fork-Verlauf 4.374 ★ / 468 ⇿
4.374Sterne
468Forks
9Releases

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.

01.0002.0003.0004.0005.0004.374454432010-072018-072026-07
Major 0Minor 3Patch 6

Jeder Punkt umfasst 15 Tage.

OpenSSF Scorecard 7.7 / 10
7.7Gesamtwert

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).Scorecard v5.5.0 · 2026-07-22 01:27 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-Tests27 out of 28 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 22/27 approved changesets -- score normalized to 8
10Contributorsproject has 77 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained13 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
1SASTSAST tool is not run on all commits -- score normalized to 1
10Security-Policysecurity policy file detected
8Signed-Releases4 out of the last 4 releases have a total of 4 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 1
RegistryPaketVersionsvorgabeManifest
PyPIcloudpickle>=3.0pyproject.toml
Alle Abhängigkeiten 2

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

RegistryPaketVersionBeziehung
PyPIcloudpickle—direkt
PyPIsetuptools—indirekt
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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          "oid": "6471ab096431254e6797266589e24a1dab3255c4",
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          "is_bot": false,
          "headline": "DOC mention tuple compress argument in Memory and MemorizedFunc (#1820)",
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          "headline": "FIX eval_expr to raise ValueError on division by zero (#1810)",
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          "is_bot": false,
          "headline": "FIX accept any os.PathLike in dump() and load() (#1812)",
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          "is_bot": false,
          "headline": "FIX preserve caller's Unpickler security whitelist for object-dtype i…",
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                "key": "owner_reach",
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                "detail": "66 followers of joblib",
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                "key": "track_record",
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        ],
        "description": "Are baseline engineering and documentation practices in place?"
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        "weight": 0.16,
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                "points": 0,
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                "key": "fuzzing",
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                "status": "met",
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                "key": "vulnerabilities",
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  "full_name": "joblib/joblib",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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