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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 06:23 UTC

aws-powertools / powertools-lambda-python

A developer toolkit to implement Serverless best practices and increase developer velocity.

PythonMIT-0★ 3.271 Sterne⑂ 482 Forksseit Nov. 2019Auf GitHub ansehen ↗

aws-powertools/powertools-lambda-python erreicht einen Gesundheitsindex von 90 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (98/100) ab, am schwächsten bei AI Readiness (61/100). Zuletzt vor 3 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.

90
gesamt / 100
Exzellent

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.

90
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

Powertools for AWSOrganisation
295 Follower9 öffentliche Reposseit März 2023

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIaws_lambda_powertools3.31.1-528vor 3 Tagenaws-lambda-powertoolsawstracinglogginglambdapowertoolsfeature-flagsidempotencymiddleware

Metriken nach Kategorie

Vitalität

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

98Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 3 Tagen
32.5/36Commit-Rhythmus — 47/52 Wochen mit Commits
18/18Commit-Volumen — 847 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year847
human_commit_share
days_since_last_push3
active_weeks_last_year47

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 3 Tagen
27/27Release-Rhythmus — ein Release etwa alle 26,2 Tage
10/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Verwendete Eingangsdaten
releases_count100
latest_release_tagv3.31.1
releases_from_tagsnein
days_since_latest_release3
mean_days_between_releases26,2

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

90Exzellent · 18 % des Gesamtindex
Wie die Bewertung erfolgt
57/60Stars — 3.271 Stars
22.4/25Forks — 482 Forks
9.2/15Watcher — 46 Watcher
Verwendete Eingangsdaten
forks482
stars3.271
watchers46
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT-0)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templateja

Nachhaltigkeit & Governance

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

77Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
25.2/54Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab
12.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 43 % der Commits
13.5/13.5Breite der Beitragenden — 100 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor2
contributors_sampled100
top_contributor_share0,432
Wie die Bewertung erfolgt
45.9/46.8Issue-Lösungsquote — 98 % der Issues geschlossen
31.1/38.3PR-Annahme — 5.314/6.531 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs5.314
open_issues28
closed_issues1.526
issue_closed_ratio0,982
closed_unmerged_prs1.217
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
17.8/25Reichweite des Inhabers — 295 Follower von aws-powertools
13.9/25Kontohistorie — 9 öffentliche Repos, Kontoalter ca. 3 Jahre
Verwendete Eingangsdaten
followers295
owner_typeOrganization
is_verified
owner_loginaws-powertools
public_repos9
account_age_days1.207

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 3 Tagen
20/20Versionshistorie — 528 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesaws_lambda_powertools
ecosystemspypi
any_deprecatednein
min_days_since_publish3

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 29 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — .flake8, .pylintrc, ruff.toml, tox.ini
9.6/9.6Pre-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_configja

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://docs.powertools.aws.dev/lambda/python/latest/
10/10Repository-Beschreibung
10/10Topics — 5 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsaws, aws-lambda, lambda, python, serverless
has_wikinein
homepagehttps://docs.powertools.aws.dev/lambda/python/latest/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

93Exzellent · 16 % des Gesamtindex

Sicherheitslage

93Exzellent
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
7.5/7.5Code-Review — all changesets reviewed
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
5/5Fuzzing — project is fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate9,3

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.

61Mittel · 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, noxfile.py
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — .flake8, .pylintrc, ruff.toml, tox.ini
11/11Statische Typprüfung — aws_lambda_powertools/py.typed, mypy.ini, tests/e2e/utils/py.typed, tests/functional/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespackage-lock.json, poetry.lock
has_dockerfileja
typed_languagenein
bootstrap_filesMakefile, noxfile.py
has_devcontainernein
has_linter_configja
typecheck_configsaws_lambda_powertools/py.typed, mypy.ini, tests/e2e/utils/py.typed, tests/functional/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 (aws_lambda_powertools/py.typed, mypy.ini, tests/e2e/utils/py.typed, tests/functional/py.typed)
54.7/55Handhabbare Dateigrößen — 7/1.314 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes1.510.271
source_files_sampled1.314
oversized_source_files7
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — examples/event_handler_graphql/src/advanced_batch_query.graphql, examples/event_handler_graphql/src/getting_started_schema.graphql, examples/event_handler_graphql/src/nested_mappings_schema.graphql, examples/kafka/consumer/schemas/user.proto, tests/e2e/event_handler_appsync/files/schema.graphql, tests/functional/kafka_consumer/_protobuf/confluent_protobuf.proto, tests/functional/kafka_consumer/_protobuf/user.proto, tests/functional/kafka_consumer/_protobuf/user_prof.proto
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_filesexamples/event_handler_graphql/src/advanced_batch_query.graphql, examples/event_handler_graphql/src/getting_started_schema.graphql, examples/event_handler_graphql/src/nested_mappings_schema.graphql, examples/kafka/consumer/schemas/user.proto, tests/e2e/event_handler_appsync/files/schema.graphql, tests/functional/kafka_consumer/_protobuf/confluent_protobuf.proto, tests/functional/kafka_consumer/_protobuf/user.proto, tests/functional/kafka_consumer/_protobuf/user_prof.proto

Eckdaten

3.271GitHub-Sterne
100Mitwirkende
847Commits, letzte 12 Monate
3Tage seit letztem Push
100Releases
2Bus-Faktor
28offene Issues
npm, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Could not fetch pypi package 'aws-lambda-powertools-python-layer' from its registry
  • Could not fetch npm package 'aws-lambda-powertools-python-e2e' from its registry

Weitere Details

OpenSSF Scorecard 9.3 / 10
9.3Gesamtwert

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 · 2026-07-17 06:22 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
10Code-Reviewall changesets reviewed
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direkte Abhängigkeiten 15
RegistryPaketVersionsvorgabeManifest
PyPIaws-cdk-lib^2.223.0layer_v3/pyproject.toml
PyPIjmespath^1.0.1pyproject.toml
PyPItyping-extensions^4.11.0pyproject.toml
PyPIaws-xray-sdk^2.8.0pyproject.toml
PyPIfastjsonschema^2.14.5pyproject.toml
PyPIpydantic^2.4.0pyproject.toml
PyPIpydantic-settings^2.6.1pyproject.toml
PyPIboto3^1.34.32pyproject.toml
PyPIredis>=4.4,<9.0pyproject.toml
PyPIvalkey-glide>=1.3.5,<3.0pyproject.toml
PyPIaws-encryption-sdk>=4.0.5,<5.0.0pyproject.toml
PyPIjsonpath-ng^1.6.0pyproject.toml
PyPIdatadog-lambda>=8.114.0,<9.0.0pyproject.toml
PyPIavro^1.12.0pyproject.toml
PyPIprotobuf>=6.30.2,<8.0.0pyproject.toml
Alle Abhängigkeiten 229

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 21 direkte und 208 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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          {
            "key": "package_maintenance",
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        "key": "engineering",
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                "key": "fuzzing",
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                "key": "vulnerabilities",
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            "value": 100,
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                "key": "policy_exposure_multiplier",
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                "status": "met",
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Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.