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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 07:05 UTC

element-hq / sygnal

Sygnal: reference Push Gateway for Matrix

PythonAGPL-3.0★ 40 Sterne⑂ 16 Forksseit Juni 2025Auf GitHub ansehen ↗

element-hq/sygnal erreicht einen Gesundheitsindex von 71 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Sustainability & Governance (82/100) ab, am schwächsten bei Community & Adoption (52/100). Zuletzt vor 1 Tag aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.

71
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.

71
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

ElementOrganisation
3.392 Follower141 öffentliche Reposseit Juli 2015

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

Metriken nach Kategorie

Vitalität

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

68Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 1 Tagen
11.1/36Commit-Rhythmus — 16/52 Wochen mit Commits
13.4/18Commit-Volumen — 30 Commits im letzten Jahr
6/10OpenSSF Scorecard: Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
Verwendete Eingangsdaten
commits_last_year30
human_commit_share0,69
days_since_last_push1
active_weeks_last_year16
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 2 Releases veröffentlicht
16.2/36Release-Aktualität — letztes Release vor 262 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 110,1 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count2
latest_release_tagv0.17.0
releases_from_tagsnein
days_since_latest_release262
mean_days_between_releases110,1
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?

52Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
25.8/60Stars — 40 Stars
9.8/25Forks — 16 Forks
0/15Watcher — 2 Watcher
Verwendete Eingangsdaten
forks16
stars40
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (AGPL-3.0)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

82Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
43.2/54Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab
17.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 21 % der Commits
13.5/13.5Breite der Beitragenden — 47 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor4
contributors_sampled47
top_contributor_share0,21
Wie die Bewertung erfolgt
43.1/46.8Issue-Lösungsquote — 92 % der Issues geschlossen
27.5/38.3PR-Annahme — 28/39 entschiedene PRs gemergt
12/15OpenSSF Scorecard: Code-Review — Found 10/12 approved changesets -- score normalized to 8
Verwendete Eingangsdaten
merged_prs28
open_issues33
closed_issues389
issue_closed_ratio0,922
closed_unmerged_prs11
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 3.392 Follower von element-hq
25/25Kontohistorie — 141 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers3.392
owner_typeOrganization
is_verified
owner_loginelement-hq
public_repos141
account_age_days4.022

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

80Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 7 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — tox.ini
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_confignein
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?

68Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 28 out of 28 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
6/7.5Code-Review — Found 10/12 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 13 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
4.5/7.5Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
1/5SAST — SAST tool is not run on all commits -- score normalized to 2
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
0/7.5Vulnerabilities — 77 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): 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.

58Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
34/40Lesbare Commit-Historie — 44 von 69 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,638
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — tox.ini
11/11Statische Typprüfung — mypy.ini
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
8/8Automatisierte Wartung — 31 der letzten 100 Commits sind automatisierte Abhängigkeits-Updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespoetry.lock
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configsmypy.ini
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,31
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (mypy.ini)
55/55Handhabbare Dateigrößen — 0/29 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes34.928
source_files_sampled29
oversized_source_files0

Eckdaten

40GitHub-Sterne
47Mitwirkende
30Commits, letzte 12 Monate
1Tage seit letztem Push
2Releases
4Bus-Faktor
33offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'matrix-sygnal' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 16 ⇿
0Sterne
16Forks
2Releases

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.

04812161622025-062025-122026-06
Major 0Minor 2Patch 0
OpenSSF Scorecard 6.8 / 10
6.8Gesamtwert

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 · 2026-07-26 07:05 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 10/12 approved changesets -- score normalized to 8
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
6Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
2SASTSAST tool is not run on all commits -- score normalized to 2
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities77 existing vulnerabilities detected
Direkte Abhängigkeiten 18
RegistryPaketVersionsvorgabeManifest
PyPIaioapns>=3.0,<4.0pyproject.toml
PyPIaiohttp>=3.10.11,<4pyproject.toml
PyPIattrs>=19.2.0pyproject.toml
PyPIcryptography>=2.6.1pyproject.toml
PyPIidna>=2.8pyproject.toml
PyPIgoogle-auth>=2.27.0pyproject.toml
PyPIjaeger-client>=4.0.0pyproject.toml
PyPImatrix-common==1.3.0pyproject.toml
PyPIopentracing>=2.2.0pyproject.toml
PyPIprometheus-client>=0.7.0,<0.8pyproject.toml
PyPIpy-vapid>=1.7.0pyproject.toml
PyPIpyopenssl>=17.5.0pyproject.toml
PyPIpywebpush>=1.13.0pyproject.toml
PyPIpyyaml>=5.1.1pyproject.toml
PyPIsentry-sdk>=0.10.2pyproject.toml
PyPIservice-identity>=18.1.0pyproject.toml
PyPItwisted>=19.7pyproject.toml
PyPIzope-interface>=5.0.0pyproject.toml
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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                "key": "openssf_scorecard_contributors",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "key": "owner_reach",
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                "key": "ci_workflows",
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                "key": "linter_config",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
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                "key": "sast",
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
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                "detail": "77 existing vulnerabilities detected",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
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              }
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                "Iran",
                "North Korea"
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
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        "weight": 0,
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                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
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          {
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            "note": null,
            "notes": [],
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            "inputs": {
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              "typecheck_configs": [
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              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.31
            },
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              },
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                "points": 22,
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                "details": [],
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              },
              {
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                "detail": "tox.ini",
                "points": 11,
                "status": "met",
                "details": [
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              },
              {
                "key": "static_type_checking",
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                "status": "met",
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                "max_points": 11
              },
              {
                "key": "reproducible_environment",
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                "points": 10,
                "status": "met",
                "details": [
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                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
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                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "31 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
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                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 6",
                "points": 6,
                "status": "partial",
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            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
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              "largest_source_bytes": 34928,
              "source_files_sampled": 29,
              "oversized_source_files": 0
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            "components": [
              {
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              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/29 source files over 60KB",
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                "status": "met",
                "details": [
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                    "code": "oversized_source_files",
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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."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Could not fetch pypi package 'matrix-sygnal' from its registry",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T07:05:45.478161Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/e/element-hq/sygnal.svg",
  "full_name": "element-hq/sygnal",
  "license_state": "standard",
  "license_spdx": "AGPL-3.0"
}

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.