Öffentliches Register
Software-GesundheitsberichtSchema 0.30.0 · Metriken 2.3.1 · 2026-08-04 00:23 UTC

bertanucar / shewhart

The statistical process control library for Python. Validated against published reference data.

PythonMIT★ 3 Sterne⑂ 0 Forksseit Juni 2026Auf GitHub ansehen ↗

bertanucar/shewhart erreicht einen Gesundheitsindex von 47 von 100 und liegt damit im Bereich Schwach. Am stärksten schneidet es bei Engineering Quality (70/100) ab, am schwächsten bei Sustainability & Governance (27/100). Zuletzt vor 47 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

47
gesamt / 100
Schwach

Software-Gesundheitsindex

Metriken werden auf einer standardisierten Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr gewichtetes Mittel, kalibriert auf die Verteilung des öffentlichen Registers, sodass die Stufen Perzentilbedeutung tragen; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze Gefährdet von 34.

47
Außergewöhnlich93-100Die Spitzengruppe des Registers (≈ obere 5 %); erfüllt im Wesentlichen alle geprüften Kriterien
Exzellent80-92Durchgehend stark; geringfügige Lücken
Gut65-79Gesund; Lücken sind begrenzt und beherrschbar
Mittel50-64Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Schwach35-49Wesentliche Schwächen in mehreren Bereichen
Gefährdet20-34Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-19Schwerwiegende 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.

Der gewichtete Gesamtwert 48 wird auf der veröffentlichten Indexskala auf 47 kalibriert (Register-Kalibrierung 2026-08-02).

Eigentümerschaft

BertanPersönliches Konto
2 Follower2 öffentliche Reposseit Juni 2026

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIshewhart0.1.1-3vor 52 Tagenspcstatistical-process-controlcontrol-chartquality-engineeringsix-sigmaprocess-capabilitycpkgage-rrmsaquality-control

Metriken nach Kategorie

Vitalität

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

60Mittel · 21 % des Gesamtindex
Wie die Bewertung erfolgt
18/36Push-Aktualität — letzter Push vor 47 Tagen
1.4/36Commit-Rhythmus — 2/52 Wochen mit Commits
14.2/18Commit-Volumen — 37 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Verwendete Eingangsdaten
commits_last_year37
human_commit_share1
days_since_last_push47
active_weeks_last_year2

Release-Disziplin

100Außergewöhnlich
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 2 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 52 Tagen
27/27Release-Rhythmus — ein Release etwa alle 0,6 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count2
latest_release_tagv0.1.1
releases_from_tagsnein
days_since_latest_release52
mean_days_between_releases0,6
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?

35Schwach · 17 % des Gesamtindex
Wie die Bewertung erfolgt
4.9/60Stars — 3 Stars
0/25Forks — 0 Forks
0/15Watcher — 0 Watcher
Verwendete Eingangsdaten
forks0
stars3
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
readme_badges3
has_contributingja
has_issue_templatenein
has_code_of_conductnein
readme_badge_servicesgithub.com, shields.io
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

27Gefährdet · 23 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
1.4/13.5Breite der Beitragenden — 1 Beitragende
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Verwendete Eingangsdaten
bus_factor1
contributors_sampled1
top_contributor_share1
Wie die Bewertung erfolgt
0/42Issue-Lösungsquote — keine Issues oder keine Daten
0/30PR-Annahme — keine entschiedenen Pull Requests oder keine Daten
0/13Newcomer PR acceptance — kein PR eines Erstbeitragenden in 30 Tagen entschieden
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs0
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, PR-Annahme, newcomer_pr_acceptance. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
3.4/25Reichweite des Inhabers — 2 Follower von bertanucar
3.8/25Kontohistorie — 2 öffentliche Repos, Kontoalter ca. 0 Jahre
Verwendete Eingangsdaten
followers2
owner_typeUser
is_verified
owner_loginbertanucar
public_repos2
account_age_days53
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

92Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 52 Tagen
12/20Versionshistorie — 3 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesshewhart
ecosystemspypi
any_deprecatednein
min_days_since_publish52

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

70Gut · 19 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.

Dokumentation

85Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
10/10Topics — 8 Topics
10/10Wiki
Verwendete Eingangsdaten
topicscontrol-charts, manufacturing, quality-control, quality-engineering, six-sigma, spc, statistical-process-control, statistics
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

47Schwach · 16 % des Gesamtindex

Sicherheitslage

34Gefährdet
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 — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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 — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3,4
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.

Abhängigkeits-Advisories

100Außergewöhnlich
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages13
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:shewhart@0.1.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 13 Paketen. Erreichbarkeit wird nicht analysiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Trägt ein bewusst kleines Gewicht (4 %): Agenten-Tooling ist ein echtes Pflegesignal, doch ein Repository ohne jedes Signal kann weiterhin 100/100 erreichen.

62Mittel · 4 % des Gesamtindex

AI-Agentenkontext & Leitlinien

100Außergewöhnlich
Wie die Bewertung erfolgt
45/45Agentenanweisungen — docs/agents.md
15/15Maschinenlesbare Doku (llms.txt) — llms.txt vorhanden
40/40Lesbare Commit-Historie — 30 von 37 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtja
legible_history_share0,811
agent_instruction_filesdocs/agents.md
agent_instruction_max_bytes3.580
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — shewhart/py.typed
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 37
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_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configsshewhart/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (shewhart/py.typed)
55/55Handhabbare Dateigrößen — 0/43 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes33.494
source_files_sampled43
oversized_source_files0
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

3GitHub-Sterne
1Mitwirkende
37Commits, letzte 12 Monate
47Tage seit letztem Push
2Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

OpenSSF Scorecard 3.4 / 10
3.4Gesamtwert

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 · 2026-08-04 00:23 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 4
RegistryPaketVersionsvorgabeManifest
PyPInumpy>=1.24pyproject.toml
PyPIpandas>=2.0pyproject.toml
PyPIscipy>=1.10pyproject.toml
PyPImatplotlib>=3.7pyproject.toml
Alle Abhängigkeiten nicht erhoben

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

Abhängigkeits-Advisories 0

Die Installation von pypi:shewhart@0.1.1 zieht 13 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.

Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.

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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          "headline": "Fold subgroup size into np_chart provenance hash",
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          "body": "The estimator was sum((x - target)^2)/(n - 1), which equals\ns^2 + n/(n-1)*(xbar - T)^2 and so over-weights the off-target term and\nbiases Cpm low whenever the mean is off target. Switch to the standard\nplug-in estimator tau^2 = s^2 + (xbar - T)^2 (Montgomery eq. 8.13,\nChan-Cheng-Spiring 1988), which\n[…]\ntwo agree\nexactly on centered data; the error grew with the off-target distance.\nThe test now uses an off-target case that distinguishes the formulas and\nchecks that Cpm collapses to Pp when centered.",
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          "headline": "Fix Cpm: use tau^2 = sigma^2 + (mean - target)^2",
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          "body": "Encodes the rules that actually govern the project: the frozen public\ngrammar, validation against external references for every statistic, and\nthe teaching-error and separation conventions.",
          "is_bot": false,
          "headline": "Add CONTRIBUTING",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
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          "body": "Lets GitHub render a 'Cite this repository' entry and gives a citable\nrecord ahead of the planned software paper.",
          "is_bot": false,
          "headline": "Add CITATION.cff",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
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          "body": "np.isscalar is False for a 0-d numpy array, so size=np.array(50) fell\nthrough to the sequence branch and raised 'len() of unsized object'.\nSwitch the scalar test to np.ndim(size) == 0, which covers Python\nscalars and 0-d arrays alike.",
          "is_bot": false,
          "headline": "Accept a 0-d array as a constant subgroup size",
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          "author_login": "bertanucar",
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        },
        {
          "oid": "a1980d6c45297045faf10885f9632b3eccca7b0a",
          "body": "A worked example through both routes the library already supports: the\npercentile method (dist=\"lognormal\"|\"weibull\"|\"gamma\"|\"auto\", ISO 22514\nstyle) and the Box-Cox transform. The example shows the gap a normal model\nhides on skewed data, where it reports Ppk 1.55 and 1.6 ppm while the\nbest-fitting model reports Ppk 0.95 and ~1860 ppm. Cross-linked from the\nCpk guide and llms.txt.",
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          "headline": "Add a guide for non-normal process capability",
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          "body": "Looser voice, less rhetorical density, checklist section dropped. The\ncore claims and the three quotable lines are unchanged.",
          "is_bot": false,
          "headline": "Rework the agents page",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
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          "body": "- README leads with the one-call review() and links the agents page;\n  status covers CUSUM, Laney p'/u', tolerance intervals, non-normal\n  capability, and the sigma-estimator menu\n- version 0.1.1 with changelog section",
          "is_bot": false,
          "headline": "Update README and changelog for 0.1.1",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
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        },
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          "oid": "c9b2836842332a5bee542c97b11811bc0c2193dc",
          "body": "A position page for people building agents on process data: generated\nstatistics fail silently, calculation belongs in a versioned, validated\ntool, and the agent's job is interpretation. Documents the failure modes\n(wrong sigma, cumsum-as-CUSUM, naked point estimates), what an\naccountable number carries, and five questions to ask before trusting\nagent statistics. llms.txt updated for the 0.1.1 surface.",
          "is_bot": false,
          "headline": "Add the agents page: statistics is not a language task",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T17:21:14Z",
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        },
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          "body": "review() picks the chart from the data shape (I-MR, Xbar-R/S, p/np/c/u,\nwith an automatic Laney switch on sigma_z), runs the assumption checks\n(sample size, variation, normality, autocorrelation, overdispersion,\nspec plausibility), and composes capability behind a stability doctrine:\nindices are wit\n[…]\nomputes no statistics of its own; every number reproduces a\ndirect call to the validated functions, and the tests pin that equality.\nBaseline.from_json now refuses baselines written by a newer schema.",
          "is_bot": false,
          "headline": "Add review(): one-call chart selection, checks, and a structured verdict",
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          "body": "- d4(2) for the median moving range computed in closed form\n  (sqrt(2) * z_0.75), checked against the published 0.954\n- B5/B6 S-chart factors from a known sigma, checked against tables\n- imr(method=\"median_mr\"): robust alternative when occasional spikes\n  inflate the average moving range\n- xbar_s(me\n[…]\nd=\"pooled\"): pooled standard deviation with exact degrees\n  of freedom, unbiased via c4(df+1); S-chart limits become B5/B6 * sigma\n- estimator names echo in params, making the choice citable in audits",
          "is_bot": false,
          "headline": "Add named sigma estimators: median_mr for I-MR, pooled for Xbar-S",
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          "is_coding_agent": false
        },
        {
          "oid": "1a641c9947dcff2c16fcd85b65dd6429565a6edd",
          "body": "- dist=\"lognormal\" | \"weibull\" | \"gamma\" | \"auto\": fit by MLE (loc\n  fixed at zero, the conventional two-parameter forms), performance\n  indices from the 0.135/50/99.865 percentiles (ISO 22514 style);\n  dist=\"auto\" selects by Anderson-Darling statistic and reports the\n  comparison table in meta\n- wi\n[…]\nlambda and runs the standard normal analysis on that scale\n- large-sample tests against analytic lognormal truth; default normal\n  path unchanged (guarded by a regression test and the reference suite)",
          "is_bot": false,
          "headline": "Add non-normal capability: percentile method and Box-Cox route",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:39:49Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "03dcc01a5a70a8a80bb5545a53dc22edb892134a",
          "body": "- normal method: Howe approximation as documented by NIST/SEMATECH\n  7.2.6.3, anchored to the handbook's published factor (k2 = 2.217 for\n  n=43, p=0.90, gamma=0.99) in the validation suite\n- nonparametric method: Wilks (min, max) with achieved confidence; the\n  error message states the minimum n when the sample cannot support the\n  requested confidence\n- Monte Carlo coverage sanity test; guide page on tolerance vs\n  confidence vs prediction intervals",
          "is_bot": false,
          "headline": "Add tolerance intervals (normal Howe k2 and nonparametric Wilks)",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:39:49Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
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          "body": "- sigma_z from the moving range of standardized points (Laney 2002);\n  limits widened by sigma_z, stair-step under varying sizes, Phase I/II\n- sigma_z is reported in stats: near 1 means the classic chart was fine,\n  well above 1 confirms overdispersion (both regimes covered by tests\n  against simulated binomial and rate-varying data)\n- guide page on the overdispersion problem; hand-derived reference case",
          "is_bot": false,
          "headline": "Add Laney p' and u' charts for overdispersed attribute data",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
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          "body": "- C+/C- recursions with reference value K = k*sigma and decision\n  interval H = h*sigma per Montgomery ch. 9; signals on H crossings\n- no run rules by design (cumulative statistics are autocorrelated),\n  consistent with the EWMA chart\n- docs page addressing the cusum-vs-cumsum confusion; hand-derived\n  reference case in the validation suite",
          "is_bot": false,
          "headline": "Add tabular CUSUM chart",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T16:17:40Z",
          "body_truncated": false,
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          "oid": "1f90d48216629d92a5a51ed7b57e484333f66506",
          "body": "- pip install shewhart replaces the install-from-source note\n- CI, PyPI, and license badges; documentation link\n- drop the completed 0.1 roadmap row",
          "is_bot": false,
          "headline": "Update README for the 0.1.0 release",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-12T10:03:33Z",
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          "is_coding_agent": false
        },
        {
          "oid": "8c1984e1e1e2c5d8f5d60ffadd6b684a447bb580",
          "body": "- pareto(): counts or weighted (e.g. cost) categories, cumulative shares,\n  vital-few summary, bar + cumulative-line renderer\n- subgroup= accepts fixed time windows (\"15min\", \"1H\") on DatetimeIndex\n  data, for xbar_r/xbar_s and pooled capability\n- release workflow via PyPI trusted publishing (tag-triggered, no tokens)\n- version 0.1.0, CHANGELOG, grammar page updated",
          "is_bot": false,
          "headline": "Add Pareto analysis and time-window subgrouping; prepare 0.1.0",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
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          "oid": "86d56b5e73e07dfba9d120739b1470560b2ee916",
          "body": "- MkDocs site (Material): textbook-style guide pages for control charts,\n  capability with confidence intervals, Nelson/WE rules, EWMA, and the\n  cron-job report workflow; validation reference with the NIST anchors\n- API and grammar page: the complete public surface, frozen from 0.1,\n  including planned names so the grammar is stable before it spreads\n- llms.txt served at the site root for agent/retrieval consumption\n- GitHub Actions: test matrix on 3.10-3.12, docs auto-deploy to gh-pages",
          "is_bot": false,
          "headline": "Add documentation site, llms.txt, and CI",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
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        },
        {
          "oid": "178870c98e6a4e0ed97d77139c5d56c2cc28d0d0",
          "body": "- NIST StRD certified values reproduced in CI: Michelso (certified mean\n  299.8524, certified std 0.0790105478190518) and NumAcc1 (exact mean/std,\n  catastrophic-cancellation probe), sources cited in the case file\n- NIST/SEMATECH e-Handbook 6.3.2.4 EWMA worked example reproduced end to\n  end: same d\n[…]\ns\n- ewma(): exact time-varying limits by default, asymptotic option,\n  Phase I fit or specified/saved parameters; limit signals only (run\n  rules are invalid on autocorrelated EWMA values, documented)",
          "is_bot": false,
          "headline": "Anchor the validation suite to NIST reference data; add EWMA chart",
          "author_name": "bertanucar",
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          "committed_at": "2026-06-11T14:45:25Z",
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        },
        {
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          "body": "- Result.to_html(): one-page report with embedded base64 chart, verdict\n  badge, statistics table, signal table, and provenance block; renders\n  via an explicit Agg canvas so it works headless in cron and CI\n- sw.report(): combine several Results into one page; the page banner is\n  green only if every analysis is in control, mirroring the exit code\n- README: document implemented scope, capability and weekly-report usage",
          "is_bot": false,
          "headline": "Add self-contained HTML reports",
          "author_name": "bertanucar",
          "author_login": "bertanucar",
          "committed_at": "2026-06-11T14:37:44Z",
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        },
        {
          "oid": "e2d783b8dcd605244bd94457f7f10d0ba4fa0702",
          "body": "- capability(): Cp/Cpk/Pp/Ppk/Cpm with within vs overall sigma done right\n  (moving range/d2 for individuals, pooled std for subgrouped data),\n  exact chi-square intervals for Cp/Pp, Bissell-approximation intervals\n  for Cpk/Ppk, observed and expected PPM, Anderson-Darling normality note,\n  and a st\n[…]\nred input coercion\n  moved to _data.py; Signal handles sequence-level findings without points\n- reference cases: capability with all 16 expected values to 1e-9,\n  run chart with hand-derived runs test",
          "is_bot": false,
          "headline": "Add capability analysis with confidence intervals and run chart",
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          "author_login": "bertanucar",
          "committed_at": "2026-06-11T14:29:16Z",
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          "body": "…ce cases\n\n- p/u charts support varying subgroup sizes with per-point limits in the\n  table; scalar limits appear in stats only when sizes are constant\n- np/c charts with constant-size semantics and baseline size checks\n- run rules restricted to the four attribute-chart tests, zone tests\n  rejected with a teaching error\n- single-panel renderer with step-drawn varying limits\n- four new reference cases in the validation suite",
          "is_bot": false,
          "headline": "Add attribute charts (p, np, c, u) with stair-step limits and referen…",
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          "body": "…e README\n\n- xbar_r/xbar_s on the I-MR template: shared subgrouped machinery, Phase I/II,\n  baseline chart and subgroup-size checks with teaching errors\n- generalized plot renderer (spec-driven two-panel layout)\n- validation_cases.json: synthetic reference cases with fully published\n  derivations, run by a parametrized suite; seed of the public validation kit\n- README rewritten in plain developer tone, documents actual repo state",
          "is_bot": false,
          "headline": "Add Xbar-R and Xbar-S charts, reference-case validation suite, rewrit…",
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          "is_bot": false,
          "headline": "Foundation: Result protocol, first-principles chart constants, Nelson…",
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          "headline": "Update README.md",
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          "headline": "Initial release v0.0.1: I-MR control limits and beyond-limits checks",
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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              },
              {
                "key": "forks",
                "name": "Forks",
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                "status": "missed",
                "details": [
                  {
                    "code": "forks",
                    "params": {
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                ],
                "max_points": 25
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              {
                "key": "watchers",
                "name": "Watchers",
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          },
          {
            "key": "community_health",
            "band": "good",
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            "note": null,
            "notes": [],
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              "readme_badges": 3,
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            "components": [
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                "points": 22.5,
                "status": "met",
                "details": [
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                  },
                  {
                    "code": "license_spdx",
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                "key": "contributing_guide",
                "name": "CONTRIBUTING guide",
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                "status": "met",
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                "points": 0,
                "status": "missed",
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              {
                "key": "issue_template",
                "name": "Issue template",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.2
              },
              {
                "key": "pr_template",
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                "points": 0,
                "status": "missed",
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                "max_points": 6.3
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          }
        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
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        "key": "governance",
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        "weight": 0.23,
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            "components": [
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                "status": "partial",
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                "status": "partial",
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                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
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            ]
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            "band": "critical",
            "name": "Issue & PR responsiveness",
            "note": "Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
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                "status": "excluded",
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                "name": "PR acceptance",
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              {
                "key": "newcomer_pr_acceptance",
                "name": "Newcomer PR acceptance",
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                "status": "excluded",
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              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
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            ]
          },
          {
            "key": "stewardship",
            "band": "at_risk",
            "name": "Ownership & stewardship",
            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
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              {
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            "inputs": {
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            "components": [
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                  {
                    "code": "owner_personal",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": "not applicable to user accounts",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_applicable_to_user_accounts",
                    "params": {}
                  }
                ],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "2 followers of bertanucar",
                "points": 3.4,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 2,
                      "login": "bertanucar"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "2 public repos, account ~0 yr old",
                "points": 3.8,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 2
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 0
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 92,
            "inputs": {
              "packages": [
                "shewhart"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 52
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 52 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 52
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "3 published versions",
                "points": 12,
                "status": "partial",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 3
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 70,
        "weight": 0.19,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "moderate",
            "name": "Engineering practices",
            "note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "openssf_scorecard_ci_tests"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 60,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": false,
              "has_precommit_config": false
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "3 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 3
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "topics": [
                "control-charts",
                "manufacturing",
                "quality-control",
                "quality-engineering",
                "six-sigma",
                "spc",
                "statistical-process-control",
                "statistics"
              ],
              "has_wiki": true,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "8 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 8
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "weak",
        "name": "Security",
        "value": 47,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "ci_tests",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 34,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 3.4
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection not enabled on development/release branches",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "no pull request found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 0 contributing companies or organizations -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "project was created within the last 90 days. Please review its contents carefully",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "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",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "no SAST tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "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": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:shewhart@0.1.1 runtime dependency closure — what installing the published package pulls in — 13 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:shewhart@0.1.1",
                  "assessed": 13
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 13,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "exceptional",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 13,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "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": "moderate",
        "name": "AI Readiness",
        "value": 62,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "exceptional",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "has_llms_txt": true,
              "legible_history_share": 0.811,
              "agent_instruction_files": [
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              "agent_instruction_max_bytes": 3580
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "docs/agents.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/agents.md"
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                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": "llms.txt present",
                "points": 15,
                "status": "met",
                "details": [
                  {
                    "code": "llms_txt_present",
                    "params": {}
                  }
                ],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "30 of 37 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 30,
                      "sampled": 37
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 33,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
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              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "shewhart/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "shewhart/py.typed"
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                  }
                ],
                "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 agent-authored commits among the last 37",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 37
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "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": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 33494,
              "source_files_sampled": 43,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (shewhart/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "shewhart/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/43 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 43,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "weak",
            "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? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "labels": [
        "library"
      ],
      "scores": {
        "library": 8
      },
      "primary": "library",
      "evidence": [
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "description",
          "label": "library",
          "source": "description:library",
          "weight": 2
        }
      ],
      "artifacts": [],
      "confidence": "medium",
      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": true
    },
    "metrics_version": "2.3.1"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-04T00:23:55.457122Z",
  "schema_version": "0.30.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/bertanucar/shewhart.svg",
  "full_name": "bertanucar/shewhart",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v2.3.1, Schema v0.30.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.