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Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-18 20:54 UTC

mabel-dev / opteryx

🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.

PythonApache-2.0★ 113 Sterne⑂ 14 Forksseit Dez. 2021Auf GitHub ansehen ↗

mabel-dev/opteryx erreicht einen Gesundheitsindex von 72 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (92/100) ab, am schwächsten bei AI Readiness (48/100). Zuletzt vor 3 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

72
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.

72
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

OpteryxOrganisation
4 Follower25 öffentliche Reposseit Mai 2021

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
crates.iocomputeverweist auf ein anderes Repo — nicht bewertet0.2.316733vor 1773 Tagencomputestatisticsdatascience
PyPIopteryx0.26.811.341164vor 136 Tagen

Metriken nach Kategorie

Vitalität

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

78Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 3 Tagen
15.9/36Commit-Rhythmus — 23/52 Wochen mit Commits
18/18Commit-Volumen — 664 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_year664
human_commit_share
days_since_last_push3
active_weeks_last_year23
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
27/36Release-Aktualität — letztes Release vor 136 Tagen
27/27Release-Rhythmus — ein Release etwa alle 10,8 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tag0.26.8
releases_from_tagsnein
days_since_latest_release136
mean_days_between_releases10,8
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?

62Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
33.2/60Stars — 113 Stars
9.3/25Forks — 14 Forks
2.7/15Watcher — 4 Watcher
Verwendete Eingangsdaten
forks14
stars113
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
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja
Wie die Bewertung erfolgt
54.1/80Downloads pro Monat — 11.341 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagesopteryx
dependents
ecosystemspypi
total_downloads
monthly_downloads11.341
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?

65Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
4.5/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 80 % der Commits
12.2/13.5Breite der Beitragenden — 9 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled9
top_contributor_share0,798
Wie die Bewertung erfolgt
42.9/46.8Issue-Lösungsquote — 92 % der Issues geschlossen
35.9/38.3PR-Annahme — 1.359/1.448 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/10 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs1.359
open_issues123
closed_issues1.378
issue_closed_ratio0,918
closed_unmerged_prs89
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
5/25Reichweite des Inhabers — 4 Follower von mabel-dev
20.7/25Kontohistorie — 25 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers4
owner_typeOrganization
is_verified
owner_loginmabel-dev
public_repos25
account_age_days1.891

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 136 Tagen
20/20Versionshistorie — 164 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesopteryx
ecosystemspypi
any_deprecatednein
min_days_since_publish136

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 13 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://opteryx.dev
10/10Repository-Beschreibung
10/10Topics — 20 Topics
0/10Wiki
Verwendete Eingangsdaten
topicspython, sql, analytics, big-data, serverless, sql-engine, arrow, cloud-native, query-engine, database, serverless-database, query-processor, command-line, cross-platform, gcp, aws, data-analytics, query-federation, zero-etl, iceberg
has_wikinein
homepagehttps://opteryx.dev
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

62Mittel · 16 % des Gesamtindex
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 — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0.5/2.5CII-Best-Practices — badge detected: InProgress
0/7.5Code-Review — Found 0/10 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 7 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,2
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, 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.

48Gefährdet · 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 — Makefile, third_party/re2/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — third_party/tktech/simdjson/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
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, third_party/re2/Makefile
has_devcontainernein
has_linter_configja
typecheck_configsthird_party/tktech/simdjson/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (third_party/tktech/simdjson/py.typed)
54.9/55Handhabbare Dateigrößen — 1/508 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes69.450
source_files_sampled508
oversized_source_files1
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

113GitHub-Sterne
9Mitwirkende
664Commits, letzte 12 Monate
3Tage seit letztem Push
100Releases
1Bus-Faktor
123offene Issues
crates.io, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • crates package 'compute' points at a different repository (https://github.com/al-jshen/compute); excluded from ecosystem scoring
  • Could not fetch pypi package 'opteryx.third_party.fuzzy' from its registry

Weitere Details

OpenSSF Scorecard 6.2 / 10
6.2Gesamtwert

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 · 2026-07-18 20:53 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-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
2CII-Best-Practicesbadge detected: InProgress
0Code-ReviewFound 0/10 approved changesets -- score normalized to 0
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate 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
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 12
RegistryPaketVersionsvorgabeManifest
crates.iopythonize0.27Cargo.toml
crates.ioserde1.0.171Cargo.toml
crates.ioregex1.10Cargo.toml
crates.iopyo30.27Cargo.toml
crates.iosqlparser0.59.0Cargo.toml
PyPIaiohttppyproject.toml
PyPInumpy>=2.0.0pyproject.toml
PyPIorjsonpyproject.toml
PyPIorso>=0.0.204pyproject.toml
PyPIpsutilpyproject.toml
PyPIpyarrow>=20.0.0pyproject.toml
PyPIrequestspyproject.toml
Alle Abhängigkeiten 57

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 12 direkte und 45 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
crates.iopyo3direkt
crates.iopythonizedirekt
crates.ioregexdirekt
crates.ioserdedirekt
crates.iosqlparserdirekt
PyPIaiohttpdirekt
PyPInumpydirekt
PyPIorjsondirekt
PyPIorsodirekt
PyPIpsutildirekt
PyPIpyarrowdirekt
PyPIrequestsdirekt
PyPIblackindirekt
PyPIcassandra-driverindirekt
PyPIcoverageindirekt
PyPIduckdb1.4.*indirekt
PyPIduckdb-engineindirekt
PyPIfastavroindirekt
PyPIfreezegunindirekt
PyPIfuzzy1.2.2indirekt
PyPIgoogle-cloud-bigquery-storageindirekt
PyPIgoogle-cloud-firestoreindirekt
PyPIgoogle-cloud-storageindirekt
PyPIhypothesisindirekt
PyPIisortindirekt
PyPIjellyfishindirekt
PyPIminioindirekt
PyPImypyindirekt
PyPIopenpyxlindirekt
PyPIpandasindirekt
PyPIpg8000indirekt
PyPIpolarsindirekt
PyPIprotobufindirekt
PyPIpsycopg2-binaryindirekt
PyPIpyclnindirekt
PyPIpydantic2.11.10indirekt
PyPIpyicebergindirekt
PyPIpymemcacheindirekt
PyPIpymongoindirekt
PyPIpymysqlindirekt
PyPIpyodbcindirekt
PyPIpysimdjsonindirekt
PyPIpytestindirekt
PyPIpytest-xdistindirekt
PyPIredisindirekt
PyPIrichindirekt
PyPIsetuptools-rustindirekt
PyPIsqlalchemyindirekt
PyPIsqlalchemy-bigqueryindirekt
PyPIsqlalchemy-cockroachdbindirekt
PyPIsqloxideindirekt
PyPItravers0.1.11indirekt
PyPItypes-orjsonindirekt
PyPItypes-pyyamlindirekt
PyPItypes-requestsindirekt
PyPIvalkeyindirekt
PyPIvortex-dataindirekt
JSON-Rohbericht maschinenlesbar
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          "monthly_downloads": 11341,
          "first_published_at": "2021-12-29T20:00:51.701659Z",
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          "latest_version_yanked": null,
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      "api_schema_files": [],
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      "largest_source_bytes": 69450,
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              {
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                "key": "watchers",
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          },
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            "notes": [],
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                  {
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                "key": "registry_dependents",
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      {
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                "max_points": 13.5
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                "key": "openssf_scorecard_contributors",
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                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            "key": "responsiveness",
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            "note": null,
            "notes": [],
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              "merged_prs": 1359,
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              "issue_closed_ratio": 0.918,
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                "key": "issue_resolution",
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                      "share": 92
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                "max_points": 46.75
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                "key": "pr_acceptance",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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            "key": "stewardship",
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            "note": null,
            "notes": [],
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              "is_verified": null,
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                "key": "owner_reach",
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                "key": "track_record",
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                    "code": "account_age_years",
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                "max_points": 25
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          {
            "key": "package_maintenance",
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            "inputs": {
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              "ecosystems": "pypi",
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                "key": "published_resolvable",
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                "max_points": 25
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                "key": "publish_recency",
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                    "code": "publish_recency",
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                "max_points": 35
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                "key": "version_history",
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                "points": 20,
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                "max_points": 20
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              {
                "key": "not_deprecated",
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                "detail": "active, not deprecated or yanked",
                "points": 20,
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                "details": [
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                "max_points": 20
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          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
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        "weight": 0.2,
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                "key": "ci_workflows",
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                    "code": "ci_workflows",
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                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
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              {
                "key": "linter_config",
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                "key": "pre_commit_hooks",
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              {
                "key": "editorconfig",
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              },
              {
                "key": "openssf_scorecard_ci_tests",
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          },
          {
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            "notes": [],
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            "inputs": {
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                "key": "readme",
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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            ]
          }
        ],
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            "value": 62,
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                "key": "code_review",
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              {
                "key": "contributors",
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              },
              {
                "key": "dangerous_workflow",
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                "points": 10,
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              },
              {
                "key": "dependency_update_tool",
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                "details": [],
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
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                "status": "missed",
                "details": [],
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              },
              {
                "key": "license",
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                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
                "points": 0,
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                "details": [],
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              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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                "details": [],
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              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
                "points": 5,
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                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "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": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
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              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 6
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 48,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 74,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "third_party/re2/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "third_party/tktech/simdjson/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, third_party/re2/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, third_party/re2/Makefile"
                    }
                  }
                ],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "third_party/tktech/simdjson/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "third_party/tktech/simdjson/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 69450,
              "source_files_sampled": 508,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (third_party/tktech/simdjson/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "third_party/tktech/simdjson/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/508 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 508,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "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": [
    "crates package 'compute' points at a different repository (https://github.com/al-jshen/compute); excluded from ecosystem scoring",
    "Could not fetch pypi package 'opteryx.third_party.fuzzy' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-18T20:54:05.976334Z",
  "schema_version": "0.14.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mabel-dev/opteryx.svg",
  "full_name": "mabel-dev/opteryx",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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 v0.14.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistikencrates.io, PyPI.