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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.14.0 · 2026-07-30 13:42 UTC

SneaksAndData / adapta

Logging, data connectors, monitoring, secret handling and general lifehacks to make data people lives easier.

PythonApache-2.0★ 11 Sterne⑂ 2 Forksseit Feb. 2022Auf GitHub ansehen ↗

SneaksAndData/adapta erreicht einen Gesundheitsindex von 66 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (89/100) ab, am schwächsten bei Community & Adoption (35/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

66
gesamt / 100
Mittel

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

66
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

Ecco Sneaks & DataOrganisation
20 Follower57 öffentliche Reposseit Jan. 2022

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIadapta4.0.6-241vor 0 Tagen

Metriken nach Kategorie

Vitalität

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

89Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
20.1/36Commit-Rhythmus — 29/52 Wochen mit Commits
15.6/18Commit-Volumen — 53 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year53
human_commit_share1
days_since_last_push0
active_weeks_last_year29

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 11,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tagv4.0.6
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases11,6
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?

35Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
16.2/60Stars — 11 Stars
0/25Forks — 2 Forks
0/15Watcher — 1 Watcher
Verwendete Eingangsdaten
forks2
stars11
watchers1
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)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja

Nachhaltigkeit & Governance

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

69Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 51 % der Commits
13.5/13.5Breite der Beitragenden — 21 Beitragende
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Verwendete Eingangsdaten
bus_factor1
contributors_sampled21
top_contributor_share0,514
Wie die Bewertung erfolgt
39.7/46.8Issue-Lösungsquote — 85 % der Issues geschlossen
33.1/38.3PR-Annahme — 371/429 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs371
open_issues24
closed_issues135
issue_closed_ratio0,849
closed_unmerged_prs58
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
9.5/25Reichweite des Inhabers — 20 Follower von SneaksAndData
21.9/25Kontohistorie — 57 öffentliche Repos, Kontoalter ca. 4 Jahre
Verwendete Eingangsdaten
followers20
owner_typeOrganization
is_verified
owner_loginSneaksAndData
public_repos57
account_age_days1.652

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 241 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesadapta
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

70Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 5 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .pylintrc
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

57Mittel · 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 — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
7.5/7.5Maintained — 13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
0/7.5Vulnerabilities — 17 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5,5
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
14/35Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: cryptography 36.0.2 (high 7.5)
0/25Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar
33.7/40Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 1.268 Tagen veröffentlicht
Verwendete Eingangsdaten
sourceosv
advisories29
affected_packages4
assessed_packages150
unassessed_packages0
affected_by_severitycritical 2, high 1, moderate 1
direct_affected_packages1
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories. Die verbleibenden Gewichte wurden renormalisiert. 150 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. 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.

47Gefährdet · 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 — 89 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,89
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .pylintrc
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
2/10Belegte Agentenpraxis — 1 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben
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
lockfilespoetry.lock
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0,01
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/196 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes28.342
source_files_sampled196
oversized_source_files0

Eckdaten

11GitHub-Sterne
21Mitwirkende
53Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
1Bus-Faktor
24offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:adapta@4.0.6; advisories assessed against the repository dependency graph instead

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 2 ⇿
0Sterne
2Forks
89Releases

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.

111222212024-062025-062026-06
Major 2Minor 6Patch 81

Jeder Punkt umfasst 2 Tage.

OpenSSF Scorecard 5.5 / 10
5.5Gesamtwert

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 · 2026-07-30 13:42 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-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
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
0Vulnerabilities17 existing vulnerabilities detected
Direkte Abhängigkeiten 34
RegistryPaketVersionsvorgabeManifest
PyPIrequests^2.26pyproject.toml
PyPIbackoff^2.2pyproject.toml
PyPIcryptography>=36pyproject.toml
PyPIpandas>=2.0.0,<3.0pyproject.toml
PyPIpyarrow>=7.0pyproject.toml
PyPIdataclasses-json~0.6pyproject.toml
PyPIlimits^5.8pyproject.toml
PyPIpolars>=1.18pyproject.toml
PyPIpandera>=0.20.3 <1.0pyproject.toml
PyPIxlsxwriter^3.0pyproject.toml
PyPIfastexcel^0.14.0pyproject.toml
PyPIopenpyxl^3.0pyproject.toml
PyPIcassandra-driver~3.30.0pyproject.toml
PyPIdeltalake^0.18.1pyproject.toml
PyPIpyiceberg^0.11.1pyproject.toml
PyPIs3fs^2025.10.0pyproject.toml
PyPIazure-identity^1.7pyproject.toml
PyPIazure-storage-blob>=12.17.0,<=13pyproject.toml
PyPIazure-mgmt-storage~19.1.0pyproject.toml
PyPIazure-keyvault-secrets^4.3pyproject.toml
PyPIazure-servicebus~7.6pyproject.toml
PyPIadlfs~2025pyproject.toml
PyPIboto3^1.28.0pyproject.toml
PyPIbotocore^1.31pyproject.toml
PyPIdatadog~0.49.1pyproject.toml
PyPIdatadog-api-client~2.18.0pyproject.toml
PyPISQLAlchemy~2.0pyproject.toml
PyPIpyodbc~4.0pyproject.toml
PyPImlflow-skinny~2.17.0pyproject.toml
PyPIredis~4.4.0pyproject.toml
PyPIhvac~0.11.2pyproject.toml
PyPIfsspec^2025pyproject.toml
PyPItrino^0.337pyproject.toml
PyPIsnowflake-connector-python^3.4.0pyproject.toml
Alle Abhängigkeiten 150

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 34 direkte und 116 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIadlfs2025.8.0direkt
PyPIazure-identity1.25.3direkt
PyPIazure-keyvault-secrets4.11.0direkt
PyPIazure-mgmt-storage19.1.0direkt
PyPIazure-servicebus7.6.1direkt
PyPIazure-storage-blob12.30.0direkt
PyPIbackoff2.2.1direkt
PyPIboto31.41.5direkt
PyPIbotocore1.41.5direkt
PyPIcassandra-driver3.30.1direkt
PyPIcryptography36.0.2direkt
PyPIdataclasses-json0.6.7direkt
PyPIdatadog0.49.1direkt
PyPIdatadog-api-client2.18.0direkt
PyPIdeltalake0.18.2direkt
PyPIfastexcel0.14.0direkt
PyPIfsspec2025.12.0direkt
PyPIhvac0.11.2direkt
PyPIlimits5.8.0direkt
PyPImlflow-skinny2.17.2direkt
PyPIopenpyxl3.1.5direkt
PyPIpandas2.3.3direkt
PyPIpandera0.32.1direkt
PyPIpolars1.43.1direkt
PyPIpyarrow25.0.0direkt
PyPIpyiceberg0.11.1direkt
PyPIpyodbc4.0.39direkt
PyPIredis4.4.4direkt
PyPIrequests2.34.2direkt
PyPIs3fs2025.12.0direkt
PyPIsnowflake-connector-python3.18.1direkt
PyPIsqlalchemy2.0.51direkt
PyPItrino0.337.0direkt
PyPIxlsxwriter3.2.9direkt
PyPIaiobotocore2.26.0indirekt
PyPIaiohappyeyeballs2.7.1indirekt
PyPIaiohttp3.14.3indirekt
PyPIaioitertools0.13.0indirekt
PyPIaiosignal1.4.0indirekt
PyPIannotated-types0.8.0indirekt
PyPIasn1crypto1.5.1indirekt
PyPIastroid4.0.4indirekt
PyPIasync-timeout5.0.1indirekt
PyPIattrs26.1.0indirekt
PyPIazure-common1.1.28indirekt
PyPIazure-core1.41.0indirekt
PyPIazure-datalake-store0.0.53indirekt
PyPIazure-mgmt-core1.6.0indirekt
PyPIblack23.12.1indirekt
PyPIbottleneck1.6.0indirekt
PyPIcachetools5.5.2indirekt
PyPIcertifi2026.7.22indirekt
PyPIcffi1.17.1indirekt
PyPIcharset-normalizer3.4.9indirekt
PyPIclick8.4.2indirekt
PyPIcloudpickle3.1.2indirekt
PyPIcolorama0.4.6indirekt
PyPIcoverage7.15.2indirekt
PyPIdatabricks-sdk0.122.0indirekt
PyPIdeprecated1.3.1indirekt
PyPIdill0.4.1indirekt
PyPIet-xmlfile2.0.0indirekt
PyPIexecnet2.1.2indirekt
PyPIfilelock3.32.2indirekt
PyPIfrozenlist1.8.0indirekt
PyPIgeomet1.1.0indirekt
PyPIgitdb4.0.12indirekt
PyPIgitpython3.1.57indirekt
PyPIgoogle-auth2.47.0indirekt
PyPIgreenlet3.5.4indirekt
PyPIhiredis3.4.0indirekt
PyPIidna3.18indirekt
PyPIimportlib-metadata8.9.0indirekt
PyPIiniconfig2.3.0indirekt
PyPIisodate0.7.2indirekt
PyPIisort8.0.1indirekt
PyPIjmespath1.1.0indirekt
PyPIllvmlite0.48.0indirekt
PyPIlz44.4.5indirekt
PyPImarkdown-it-py4.2.0indirekt
PyPImarshmallow3.26.2indirekt
PyPImccabe0.7.0indirekt
PyPImdurl0.1.2indirekt
PyPImmh35.2.1indirekt
PyPImsal1.37.0indirekt
PyPImsal-extensions1.3.1indirekt
PyPImsrest0.7.1indirekt
PyPImultidict6.7.1indirekt
PyPImypy-extensions1.1.0indirekt
PyPInumba0.66.0indirekt
PyPInumexpr2.14.2indirekt
PyPInumpy2.4.6indirekt
PyPIoauthlib3.3.1indirekt
PyPIopentelemetry-api1.44.0indirekt
PyPIopentelemetry-sdk1.44.0indirekt
PyPIopentelemetry-semantic-conventions0.65b0indirekt
PyPIorjson3.11.9indirekt
PyPIpackaging24.2indirekt
PyPIpathspec1.1.1indirekt
PyPIplatformdirs4.11.0indirekt
PyPIpluggy1.6.0indirekt
PyPIpolars-runtime-321.43.1indirekt
PyPIpropcache0.5.2indirekt
PyPIprotobuf5.29.6indirekt
PyPIpyarrow-hotfix0.7indirekt
PyPIpyarrow-stubs20.0.0.20260625indirekt
PyPIpyasn10.6.4indirekt
PyPIpyasn1-modules0.4.2indirekt
PyPIpycparser3.0indirekt
PyPIpydantic2.13.4indirekt
PyPIpydantic-core2.46.4indirekt
PyPIpygments2.20.0indirekt
PyPIpyjwt2.13.0indirekt
PyPIpylint4.0.6indirekt
PyPIpyopenssl22.0.0indirekt
PyPIpyparsing3.3.2indirekt
PyPIpyroaring1.1.0indirekt
PyPIpytest8.4.2indirekt
PyPIpytest-asyncio1.4.0indirekt
PyPIpytest-cov6.3.0indirekt
PyPIpytest-mock3.15.1indirekt
PyPIpytest-xdist3.8.0indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpytz2026.3.post1indirekt
PyPIpyupgrade3.21.2indirekt
PyPIpyyaml6.0.3indirekt
PyPIrequests-oauthlib2.0.0indirekt
PyPIrich14.3.4indirekt
PyPIrsa4.9.1indirekt
PyPIs3transfer0.15.0indirekt
PyPIsix1.17.0indirekt
PyPIsmmap5.0.3indirekt
PyPIsortedcontainers2.4.0indirekt
PyPIsqlparse0.5.5indirekt
PyPIstrictyaml1.7.3indirekt
PyPItenacity9.1.4indirekt
PyPItokenize-rt6.2.0indirekt
PyPItomlkit0.15.1indirekt
PyPItypeguard4.6.0indirekt
PyPItyping-extensions4.16.0indirekt
PyPItyping-inspect0.9.0indirekt
PyPItyping-inspection0.4.2indirekt
PyPItzdata2026.3indirekt
PyPItzlocal5.4.4indirekt
PyPIuamqp1.6.11indirekt
PyPIurllib32.7.0indirekt
PyPIwrapt1.17.3indirekt
PyPIyarl1.24.5indirekt
PyPIzipp4.1.0indirekt
PyPIzstandard0.25.0indirekt
Abhängigkeits-Advisories 4

Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 150 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 4 tragen bekannte Advisories, davon 1 direkte.

PaketVersionBeziehungSchweregradAdvisoriesBehoben in
black23.12.1indirektkritisch526.3.1
pyopenssl22.0.0indirektkritisch426.0.0
cryptography36.0.2direkthoch18300.0.12
pytest8.4.2indirektmittel29.0.3

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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              "has_contributing": false,
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                "key": "openssf_scorecard_contributors",
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              "merged_prs": 371,
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                "max_points": 46.75
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                "key": "pr_acceptance",
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              "followers": 20,
              "owner_type": "Organization",
              "is_verified": null,
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                "key": "ownership_backing",
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                "details": [
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                    "code": "owner_organization",
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                "max_points": 30
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              {
                "key": "verified_domain",
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                "detail": null,
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "owner_reach",
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                      "count": 20,
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "57 public repos, account ~4 yr old",
                "points": 21.9,
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                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 57
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                  },
                  {
                    "code": "account_age_years",
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                      "years": 4
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                ],
                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
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            "name": "Package maintenance",
            "note": null,
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            "inputs": {
              "packages": [
                "adapta"
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              "ecosystems": "pypi",
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            "components": [
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                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
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                "details": [
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                "key": "publish_recency",
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                "details": [
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                "max_points": 35
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              {
                "key": "version_history",
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                "points": 20,
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                "details": [
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                  }
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              {
                "key": "not_deprecated",
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                    "code": "package_not_deprecated",
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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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                "key": "ci_workflows",
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                "key": "tests_present",
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                "key": "linter_config",
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            ]
          }
        ],
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 55,
            "inputs": {
              "source": "openssf_scorecard",
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                "key": "branch_protection",
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                "points": 0,
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                "key": "cii_best_practices",
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                "points": 0,
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              },
              {
                "key": "code_review",
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                "details": [],
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              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 2 contributing companies or organizations -- score normalized to 6",
                "points": 1.5,
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                "key": "dangerous_workflow",
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                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 7.5,
                "status": "met",
                "details": [],
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "license",
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                "detail": "license file detected",
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                "details": [],
                "max_points": 2.5
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              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "13 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
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                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
                "details": [],
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              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "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": "17 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
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            "name": "Dependency advisories",
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 150
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
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            ],
            "value": 64,
            "inputs": {
              "source": "osv",
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              "affected_packages": 4,
              "assessed_packages": 150,
              "unassessed_packages": 0,
              "affected_by_severity": "critical 2, high 1, moderate 1",
              "direct_affected_packages": 1
            },
            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
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                "key": "no_advisories_left_outstanding",
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      },
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
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                "detail": "0/196 source files over 60KB",
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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": "1.14.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:adapta@4.0.6; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T13:42:58.558514Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/SneaksAndData/adapta.svg",
  "full_name": "SneaksAndData/adapta",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.14.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.

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