Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-27 03:35 UTC
ImagingDataCommons / highdicom
High-level DICOM abstractions for the Python programming language
ImagingDataCommons/highdicom erreicht einen Gesundheitsindex von 74 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (87/100) ab, am schwächsten bei AI Readiness (56/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
74
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.
74
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.
Eigentümerschaft
Imaging Data CommonsOrganisation
104 Follower75 öffentliche Reposseit Apr. 2019
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | highdicom | 0.28.0 | 70.028 | 47 | vor 10 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
87
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 20.1/36 | Commit-Rhythmus — 29/52 Wochen mit Commits |
| 16.5/18 | Commit-Volumen — 67 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 67 |
| human_commit_share | 0,97 |
| days_since_last_push | 0 |
| active_weeks_last_year | 29 |
Release-Disziplin
92Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 47 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 10 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 108,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 47 |
| latest_release_tag | v0.28.0 |
| releases_from_tags | nein |
| days_since_latest_release | 10 |
| mean_days_between_releases | 108,9 |
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?
66
Popularität & Verbreitung
57Mittel
Wie die Bewertung erfolgt
| 38.4/60 | Stars — 235 Stars |
| 14.4/25 | Forks — 55 Forks |
| 4.3/15 | Watcher — 7 Watcher |
Verwendete Eingangsdaten
| forks | 55 |
| stars | 235 |
| watchers | 7 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
65Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 64.6/80 | Downloads pro Monat — 70.028 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | highdicom |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 70.028 |
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?
68
Maintainer-Resilienz (Bus-Faktor)
39Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 6.7/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 70 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 21 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 50 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 21 |
| top_contributor_share | 0,704 |
Wie die Bewertung erfolgt
| 35.4/46.8 | Issue-Lösungsquote — 76 % der Issues geschlossen |
| 35.6/38.3 | PR-Annahme — 295/317 entschiedene PRs gemergt |
| 6/15 | OpenSSF Scorecard: Code-Review — Found 7/17 approved changesets -- score normalized to 4 |
Verwendete Eingangsdaten
| merged_prs | 295 |
| open_issues | 30 |
| closed_issues | 94 |
| issue_closed_ratio | 0,758 |
| closed_unmerged_prs | 22 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 14.5/25 | Reichweite des Inhabers — 104 Follower von ImagingDataCommons |
| 25/25 | Kontohistorie — 75 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 104 |
| owner_type | Organization |
| is_verified | — |
| owner_login | ImagingDataCommons |
| public_repos | 75 |
| account_age_days | 2.669 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 10 Tagen |
| 20/20 | Versionshistorie — 47 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | highdicom |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 10 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
80
Engineering-Praktiken
66Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
100Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://highdicom.readthedocs.io |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 5 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | dicom, numpy, pydicom, python3, typehints |
| has_wiki | ja |
| homepage | https://highdicom.readthedocs.io |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
67
Sicherheitslage
59Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.2/2.5 | CI-Tests — 18 out of 19 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3/7.5 | Code-Review — Found 7/17 approved changesets -- score normalized to 4 |
| 2.5/2.5 | Contributors — project has 50 contributing companies or organizations |
| 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 |
| 7.5/7.5 | Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 5,9 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 6 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:highdicom@0.28.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 6 Paketen. 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.
56
AI-Agentenkontext & Leitlinien
30Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 30.2/40 | Lesbare Commit-Historie — 55 von 97 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,567 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — src/highdicom/py.typed |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 6/10 | Belegte Agentenpraxis — 3 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 8/8 | Automatisierte Wartung — 3 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates |
| 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 | — |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | src/highdicom/py.typed |
| agent_commit_share | 0,03 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,03 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/highdicom/py.typed) |
| 44.4/55 | Handhabbare Dateigrößen — 16/83 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 411.535 |
| source_files_sampled | 83 |
| oversized_source_files | 16 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
235GitHub-Sterne
21Mitwirkende
67Commits, letzte 12 Monate
0Tage seit letztem Push
47Releases
1Bus-Faktor
30offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 55 ⇿
0Sterne
55Forks
47Releases
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.
Major 0Minor 28Patch 19
Jeder Punkt umfasst 6 Tage.
OpenSSF Scorecard 5.9 / 10
5.9Gesamtwert
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 |
| k. A. | Branch-Protection | internal 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 |
| 9 | CI-Tests | 18 out of 19 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 4 | Code-Review | Found 7/17 approved changesets -- score normalized to 4 |
| 10 | Contributors | project has 50 contributing companies or organizations |
| 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 |
| 10 | Maintained | 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 6
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | numpy | >=1.19 | pyproject.toml |
| PyPI | pillow | >=8.3 | pyproject.toml |
| PyPI | pydicom | >=3.0.1 | pyproject.toml |
| PyPI | pyjpegls | >=1.0.0 | pyproject.toml |
| PyPI | typing-extensions | >=4.0.0 | pyproject.toml |
| PyPI | packaging | >=17.1 | pyproject.toml |
Alle Abhängigkeiten 22
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 16 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | numpy | — | direkt |
| PyPI | packaging | — | direkt |
| PyPI | pillow | — | direkt |
| PyPI | pydicom | — | direkt |
| PyPI | pyjpegls | — | direkt |
| PyPI | typing-extensions | — | direkt |
| PyPI | itk | — | indirekt |
| PyPI | mypy | 1.15.0 | indirekt |
| PyPI | nibabel | — | indirekt |
| PyPI | pylibjpeg | — | indirekt |
| PyPI | pylibjpeg-libjpeg | — | indirekt |
| PyPI | pylibjpeg-openjpeg | — | indirekt |
| PyPI | pytest | 9.0.3 | indirekt |
| PyPI | pytest-cov | 6.1.1 | indirekt |
| PyPI | pytest-flake8 | 1.3.0 | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | simpleitk | — | indirekt |
| PyPI | sphinx-autodoc-typehints | 3.9.9 | indirekt |
| PyPI | sphinx-pyreverse | 0.0.18 | indirekt |
| PyPI | sphinx-rtd-theme | 3.1.0 | indirekt |
| PyPI | sphinxcontrib-autoprogram | 0.1.9 | indirekt |
| PyPI | sphinxcontrib-websupport | 2.0.0 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:highdicom@0.28.0 zieht 6 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
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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{
"tag": "v0.22.0",
"kind": "minor",
"published_at": "2023-11-09T16:49:18Z"
},
{
"tag": "v0.21.1",
"kind": "patch",
"published_at": "2023-04-29T16:39:22Z"
},
{
"tag": "v0.21.0",
"kind": "minor",
"published_at": "2023-04-02T17:44:39Z"
},
{
"tag": "v0.20.0",
"kind": "minor",
"published_at": "2022-11-09T18:43:46Z"
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{
"tag": "v0.19.0",
"kind": "minor",
"published_at": "2022-08-19T22:10:30Z"
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"kind": "patch",
"published_at": "2022-07-23T13:51:37Z"
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{
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"kind": "patch",
"published_at": "2022-07-20T15:56:34Z"
},
{
"tag": "v0.18.2",
"kind": "patch",
"published_at": "2022-07-12T11:53:33Z"
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{
"tag": "v0.18.1",
"kind": "patch",
"published_at": "2022-06-08T15:49:58Z"
},
{
"tag": "v0.18.0",
"kind": "minor",
"published_at": "2022-05-16T21:20:16Z"
},
{
"tag": "v0.17.0",
"kind": "minor",
"published_at": "2022-05-06T13:30:18Z"
},
{
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"kind": "minor",
"published_at": "2022-04-22T19:09:05Z"
},
{
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{
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"points": 24,
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.