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Software-GesundheitsberichtSchema 0.23.0 · Metriken 1.13.0 · 2026-07-21 20:58 UTC

cyberchitta / openai_ex

Community maintained Elixir library for OpenAI API

ElixirApache-2.0★ 215 Sterne⑂ 38 Forksseit Apr. 2023Auf GitHub ansehen ↗

cyberchitta/openai_ex erreicht einen Gesundheitsindex von 49 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (71/100) ab, am schwächsten bei Vitality (20/100). Zuletzt vor 109 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

49
gesamt / 100
Gefährdet

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.

49
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

CyberChittaOrganisation
16 Follower12 öffentliche Reposseit Feb. 2024

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
Hexopenai_ex0.9.2121.04664vor 109 Tagen

Metriken nach Kategorie

Vitalität

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

20Kritisch · 22 % des Gesamtindex
Wie die Bewertung erfolgt
9.9/36Push-Aktualität — letzter Push vor 109 Tagen
8.3/36Commit-Rhythmus — 12/52 Wochen mit Commits
14.4/18Commit-Volumen — 39 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Verwendete Eingangsdaten
commits_last_year39
human_commit_share1
days_since_last_push109
active_weeks_last_year12
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?

56Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
37.8/60Stars — 215 Stars
13.1/25Forks — 38 Forks
0/15Watcher — 2 Watcher
Verwendete Eingangsdaten
forks38
stars215
watchers2
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
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
Wie die Bewertung erfolgt
57.6/80Downloads pro Monat — 21.046 Downloads/Monat über hex
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagesopenai_ex
dependents
ecosystemshex
total_downloads388.551
monthly_downloads21.046
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?

63Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
1.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 95 % der Commits
13.5/13.5Breite der Beitragenden — 20 Beitragende
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Verwendete Eingangsdaten
bus_factor1
contributors_sampled20
top_contributor_share0,948
Wie die Bewertung erfolgt
44.8/46.8Issue-Lösungsquote — 96 % der Issues geschlossen
38.2/38.3PR-Annahme — 97/97 entschiedene PRs gemergt
3/15OpenSSF Scorecard: Code-Review — Found 6/21 approved changesets -- score normalized to 2
Verwendete Eingangsdaten
merged_prs97
open_issues2
closed_issues46
issue_closed_ratio0,958
closed_unmerged_prs0
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
8.8/25Reichweite des Inhabers — 16 Follower von cyberchitta
12.9/25Kontohistorie — 12 öffentliche Repos, Kontoalter ca. 2 Jahre
Verwendete Eingangsdaten
followers16
owner_typeOrganization
is_verified
owner_logincyberchitta
public_repos12
account_age_days873

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf hex
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 109 Tagen
20/20Versionshistorie — 64 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesopenai_ex
ecosystemshex
any_deprecatednein
min_days_since_publish109

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

71Gut · 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
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://hexdocs.pm/openai_ex
10/10Repository-Beschreibung
10/10Topics — 5 Topics
10/10Wiki
Verwendete Eingangsdaten
topicschatgpt-api, elixir, livebook, openai, openai-api
has_wikija
homepagehttps://hexdocs.pm/openai_ex
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

30Gefährdet · 16 % des Gesamtindex

Sicherheitslage

30Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.5/2.5CI-Tests — 8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 6/21 approved changesets -- score normalized to 2
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3
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.

45Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 95 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,95
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
12.6/18Bootstrap mit einem Befehl — mix.exs (Toolchain-Konvention, kein Task-Runner)
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — devcontainer, Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesmix.lock
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainerja
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifestsmix.exs
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Elixir ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/44 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageElixir
largest_source_bytes6.894
source_files_sampled44
oversized_source_files0

Eckdaten

215GitHub-Sterne
20Mitwirkende
39Commits, letzte 12 Monate
109Tage seit letztem Push
0Releases
1Bus-Faktor
2offene Issues
HexPaket-Ökosysteme

Weitere Details

Stern- und Fork-Verlauf 215 ★ / 38 ⇿
215Sterne
38Forks

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.

0408012016020024021538102023-042024-102026-04

Jeder Punkt umfasst 3 Tage.

OpenSSF Scorecard 3.0 / 10
3.0Gesamtwert

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 · 2026-07-21 20:58 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
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 6/21 approved changesets -- score normalized to 2
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
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
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1Vulnerabilities9 existing vulnerabilities detected
Direkte Abhängigkeiten 4
RegistryPaketVersionsvorgabeManifest
Hexfinch~> 0.21mix.exs
Hexjason~> 1.4mix.exs
Hexmultipart~> 0.6mix.exs
Hexex_doc>= 0.0.0mix.exs
Alle Abhängigkeiten 0

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

RegistryPaketVersionBeziehung
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies to assess

JSON-Rohbericht maschinenlesbar
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                "key": "fuzzing",
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                "key": "maintained",
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                "key": "packaging",
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                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
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              {
                "key": "vulnerabilities",
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                "key": "openssf_scorecard_pinned_dependencies",
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        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
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  "generated_at": "2026-07-21T20:58:22.978832Z",
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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 v0.23.0 — vollständige Methodik · Metriken-Wiki.

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