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Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-19 09:26 UTC

the-academic-observatory / academic-observatory-workflows

Telescopes, Workflows and Data Services for the Academic Observatory

Python · JinjaApache-2.0★ 18 Sterne⑂ 2 Forksseit Aug. 2021Auf GitHub ansehen ↗

the-academic-observatory/academic-observatory-workflows erreicht einen Gesundheitsindex von 63 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (95/100) ab, am schwächsten bei Security (1/100). Zuletzt vor 6 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

63
gesamt / 100
Mittel

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.

63
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

10 Follower19 öffentliche Reposseit Sept. 2019

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIacademic-observatory-workflows2022.3.0-3vor 1584 Tagensciencedataworkflowsacademic-institutesacademic-observatory-workflows

Metriken nach Kategorie

Vitalität

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

85Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 6 Tagen
17.3/36Commit-Rhythmus — 25/52 Wochen mit Commits
14.6/18Commit-Volumen — 41 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year41
human_commit_share
days_since_last_push6
active_weeks_last_year25

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 42 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 6 Tagen
27/27Release-Rhythmus — ein Release etwa alle 4,4 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count42
latest_release_tagv0.20.5
releases_from_tagsnein
days_since_latest_release6
mean_days_between_releases4,4

Community & Verbreitung

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

52Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
20/60Stars — 18 Stars
0/25Forks — 2 Forks
2.7/15Watcher — 4 Watcher
Verwendete Eingangsdaten
forks2
stars18
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

66Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
12.4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 45 % der Commits
13.5/13.5Breite der Beitragenden — 11 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor2
contributors_sampled11
top_contributor_share0,448
Wie die Bewertung erfolgt
39.7/46.8Issue-Lösungsquote — 85 % der Issues geschlossen
34.5/38.3PR-Annahme — 245/272 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs245
open_issues3
closed_issues17
issue_closed_ratio0,85
closed_unmerged_prs27
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
7.5/25Reichweite des Inhabers — 10 Follower von The-Academic-Observatory
21.5/25Kontohistorie — 19 öffentliche Repos, Kontoalter ca. 6 Jahre
Verwendete Eingangsdaten
followers10
owner_typeOrganization
is_verified
owner_loginThe-Academic-Observatory
public_repos19
account_age_days2.502

Paketpflege

61Mittel
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1.584 Tagen
12/20Versionshistorie — 3 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesacademic-observatory-workflows
ecosystemspypi
any_deprecatednein
min_days_since_publish1.584

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

95Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 4 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
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 — https://academic-observatory-workflows.readthedocs.io
10/10Repository-Beschreibung
10/10Topics — 6 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsscience, workflow, data, academic, higher-education, research-evaluation
has_wikija
homepagehttps://academic-observatory-workflows.readthedocs.io
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

1Kritisch · 16 % des Gesamtindex
Wie die Bewertung erfolgt
0/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfiles
manifestsacademic-observatory-workflows/pyproject.toml, docs/requirements.txt, requirements.txt
has_codeql_workflownein
has_security_policynein
has_dependabot_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. 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
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
18/18Bootstrap mit einem Befehl — docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languagenein
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_configja
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
54.2/55Handhabbare Dateigrößen — 2/132 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes131.884
source_files_sampled132
oversized_source_files2

Eckdaten

18GitHub-Sterne
11Mitwirkende
41Commits, letzte 12 Monate
6Tage seit letztem Push
42Releases
2Bus-Faktor
3offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Weitere Details

Direkte Abhängigkeiten 14
RegistryPaketVersionsvorgabeManifest
PyPIxmltodict>=1.0,<2academic-observatory-workflows/pyproject.toml
PyPIbackoff>=2,<3academic-observatory-workflows/pyproject.toml
PyPIratelimit>=2.2.0,<3academic-observatory-workflows/pyproject.toml
PyPIpandas>=1.3,<3academic-observatory-workflows/pyproject.toml
PyPIbeautifulsoup4>=4.9.3,<5academic-observatory-workflows/pyproject.toml
PyPIboto3>=1.15.0,<2academic-observatory-workflows/pyproject.toml
PyPInltk>=3.9.1,<4academic-observatory-workflows/pyproject.toml
PyPIDeprecated>=1,<2academic-observatory-workflows/pyproject.toml
PyPIlimits>=5,<6academic-observatory-workflows/pyproject.toml
PyPIbiopython>=1.81,<2academic-observatory-workflows/pyproject.toml
PyPIglom>=23.0.0,<24academic-observatory-workflows/pyproject.toml
PyPIbigquery-schema-generator>=1.6.1,<2academic-observatory-workflows/pyproject.toml
PyPIdeepdiff>=8,<9academic-observatory-workflows/pyproject.toml
PyPIlxml>=5,<6academic-observatory-workflows/pyproject.toml
Alle Abhängigkeiten 22

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 15 direkte und 7 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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PyPIbigquery-schema-generatordirekt
PyPIbiopythondirekt
PyPIboto3direkt
PyPIdeepdiffdirekt
PyPIdeprecateddirekt
PyPIglomdirekt
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PyPIlxmldirekt
PyPInltkdirekt
PyPInltk3.*direkt
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PyPImyst-parser2.0.0indirekt
PyPIpbr5.5.*indirekt
PyPIrecommonmark0.7.*indirekt
PyPIsix1.16.*indirekt
PyPIsphinxindirekt
PyPIsphinx-autoapiindirekt
PyPIsphinx-rtd-theme1.3.0indirekt
JSON-Rohbericht maschinenlesbar
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    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
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  "generated_at": "2026-07-19T09:26:29.277861Z",
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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 v0.14.0 — vollständige Methodik · Metriken-Wiki.

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