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Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 00:22 UTC

lericson / pylibmc

A Python wrapper around the libmemcached interface from TangentOrg.

C · PythonBSD-3-Clause★ 492 Sterne⑂ 139 Forksseit Juli 2009Auf GitHub ansehen ↗

lericson/pylibmc erreicht einen Gesundheitsindex von 30 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Engineering Quality (74/100) ab, am schwächsten bei Vitality (22/100). Zuletzt vor 465 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

30
gesamt / 100
Gefährdet

Software-Gesundheitsindex

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

30
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.

Abandonment Policy applies a 60% multiplier to weighted overall health and gives it a ceiling of 49.

Eigentümerschaft

Ludvig EricsonPersönliches Konto
123 Follower95 öffentliche Reposseit Jan. 2009@sendapatch

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIpylibmc1.6.3-44vor 1421 Tagen

Metriken nach Kategorie

Vitalität

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

22Kritisch · 22 % des Gesamtindex
Wie die Bewertung erfolgt
0/36Push-Aktualität — letzter Push vor 465 Tagen
0/36Commit-Rhythmus — 0/52 Wochen mit Commits
0/18Commit-Volumen — 0 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_year0
human_commit_share1
days_since_last_push465
active_weeks_last_year0
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 2 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 1.425 Tagen
27/27Release-Rhythmus — ein Release etwa alle 20,9 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count2
latest_release_tag1.6.3
releases_from_tagsnein
days_since_latest_release1.425
mean_days_between_releases20,9

Community & Verbreitung

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

59Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
43.7/60Stars — 492 Stars
17.8/25Forks — 139 Forks
4.7/15Watcher — 8 Watcher
Verwendete Eingangsdaten
forks139
stars492
watchers8
growth_stateorganic
growth_factor_pct100
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

59Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
6.5/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 71 % der Commits
13.5/13.5Breite der Beitragenden — 41 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 45 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled41
top_contributor_share0,711
Wie die Bewertung erfolgt
39.4/46.8Issue-Lösungsquote — 84 % der Issues geschlossen
27.7/38.3PR-Annahme — 71/98 entschiedene PRs gemergt
4.5/15OpenSSF Scorecard: Code-Review — Found 6/17 approved changesets -- score normalized to 3
Verwendete Eingangsdaten
merged_prs71
open_issues32
closed_issues172
issue_closed_ratio0,843
closed_unmerged_prs27
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
15.1/25Reichweite des Inhabers — 123 Follower von lericson
25/25Kontohistorie — 95 öffentliche Repos, Kontoalter ca. 17 Jahre
Verwendete Eingangsdaten
followers123
owner_typeUser
is_verified
owner_loginlericson
public_repos95
account_age_days6.396
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

69Mittel
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 1.421 Tagen
20/20Versionshistorie — 44 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagespylibmc
ecosystemspypi
any_deprecatednein
min_days_since_publish1.421

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

74Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — tox.ini
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 6 merged PRs checked by a CI test -- score normalized to 0
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — http://sendapatch.se/projects/pylibmc/
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepagehttp://sendapatch.se/projects/pylibmc/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

32Gefährdet · 16 % des Gesamtindex

Sicherheitslage

32Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — 0 out of 6 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 6/17 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 45 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3,2
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging. 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.

51Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
12.8/40Lesbare Commit-Historie — 24 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,24
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — tox.ini
11/11Statische Typprüfung — C (statisch typisiert)
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languageja
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — C (statisch typisiert)
52.5/55Handhabbare Dateigrößen — 1/22 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC
largest_source_bytes83.234
source_files_sampled22
oversized_source_files1

Eckdaten

492GitHub-Sterne
41Mitwirkende
0Commits, letzte 12 Monate
465Tage seit letztem Push
2Releases
1Bus-Faktor
32offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • No resolved dependencies carried a version and a supported ecosystem

Weitere Details

Stern- und Fork-Verlauf 492 ★ / 139 ⇿
492Sterne
139Forks
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.

0100200300400500492130672009-072017-122026-05
Major 0Minor 0Patch 2

Jeder Punkt umfasst 16 Tage.

OpenSSF Scorecard 3.2 / 10
3.2Gesamtwert

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 · 2026-07-22 00:22 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 6 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 6/17 approved changesets -- score normalized to 3
10Contributorsproject has 45 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten 2

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 2 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIpytestindirekt
PyPIsetuptoolsindirekt
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem

JSON-Rohbericht maschinenlesbar
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}

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