Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 14:08 UTC
luizfernandolj / mlquantify
A Python Quantification Library
luizfernandolj/mlquantify erreicht einen Gesundheitsindex von 63 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (83/100) ab, am schwächsten bei AI Readiness (33/100). Zuletzt vor 22 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
63
gesamt / 100Software-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.
63
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)
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
Luiz FernandoPersönliches Konto
7 Follower20 öffentliche Reposseit Apr. 2021Unioeste
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | mlquantify | 0.5.1 | 2.674 | 51 | vor 28 Tagen | pythonmachine-learningquantificationquantify |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
83
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 22 Tagen |
| 15.2/36 | Commit-Rhythmus — 22/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 251 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 251 |
| human_commit_share | 1 |
| days_since_last_push | 22 |
| active_weeks_last_year | 22 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 40 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 28 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 15,6 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 40 |
| latest_release_tag | v0.5.1 |
| releases_from_tags | nein |
| days_since_latest_release | 28 |
| mean_days_between_releases | 15,6 |
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?
50
Popularität & Verbreitung
16Kritisch
Wie die Bewertung erfolgt
| 15.5/60 | Stars — 10 Stars |
| 0/25 | Forks — 1 Forks |
| 0/15 | Watcher — 1 Watcher |
Verwendete Eingangsdaten
| forks | 1 |
| stars | 10 |
| watchers | 1 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
85Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (BSD-3-Clause) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 45.7/80 | Downloads pro Monat — 2.674 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | mlquantify |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2.674 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
54
Maintainer-Resilienz (Bus-Faktor)
15Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0.2/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 99 % der Commits |
| 2.7/13.5 | Breite der Beitragenden — 2 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0,989 |
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 38.2/38.3 | PR-Annahme — 1/1 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 1 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote. Die verbleibenden Gewichte wurden renormalisiert.
Eigentümerschaft & Trägerschaft
46Gefährdet
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 6.5/25 | Reichweite des Inhabers — 7 Follower von luizfernandolj |
| 20.2/25 | Kontohistorie — 20 öffentliche Repos, Kontoalter ca. 5 Jahre |
Verwendete Eingangsdaten
| followers | 7 |
| owner_type | User |
| is_verified | — |
| owner_login | luizfernandolj |
| public_repos | 20 |
| account_age_days | 1.922 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 28 Tagen |
| 20/20 | Versionshistorie — 51 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | mlquantify |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 28 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
72
Engineering-Praktiken
60Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://luizfernandolj.github.io/mlquantify/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 4 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | machine-learning, prevalence-estimation, python, quantification |
| has_wiki | nein |
| homepage | https://luizfernandolj.github.io/mlquantify/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
54
Sicherheitslage
43Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — keine Daten |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,3 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 10 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:mlquantify@0.5.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 10 Paketen. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
33
AI-Agentenkontext & Leitlinien
4Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 3.7/40 | Lesbare Commit-Historie — 7 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,07 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
44Gefährdet
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 4/10 | Belegte Agentenpraxis — 2 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0,02 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/133 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 51.515 |
| source_files_sampled | 133 |
| oversized_source_files | 0 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
10GitHub-Sterne
2Mitwirkende
251Commits, letzte 12 Monate
22Tage seit letztem Push
40Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
OpenSSF Scorecard 4.3 / 10
4.3Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| k. A. | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 6
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | scikit-learn | >=1.1 | pyproject.toml |
| PyPI | numpy | >=1.23 | pyproject.toml |
| PyPI | scipy | >=1.8 | pyproject.toml |
| PyPI | joblib | >=1.1 | pyproject.toml |
| PyPI | tqdm | >=4.60 | pyproject.toml |
| PyPI | pandas | >=1.4 | pyproject.toml |
Alle Abhängigkeiten 10
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 4 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | joblib | — | direkt |
| PyPI | numpy | — | direkt |
| PyPI | pandas | — | direkt |
| PyPI | scikit-learn | — | direkt |
| PyPI | scipy | — | direkt |
| PyPI | tqdm | — | direkt |
| PyPI | cython | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | torch | — | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:mlquantify@0.5.1 zieht 10 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
{
"data": {
"repo": {
"topics": [
"machine-learning",
"prevalence-estimation",
"python",
"quantification"
],
"is_fork": false,
"size_kb": 114551,
"has_wiki": false,
"homepage": "https://luizfernandolj.github.io/mlquantify/",
"languages": {
"Cython": 4327,
"Python": 812730
},
"pushed_at": "2026-07-02T22:29:50Z",
"created_at": "2024-06-27T14:08:48Z",
"owner_type": "User",
"updated_at": "2026-06-26T16:36:06Z",
"description": "A Python Quantification Library",
"is_archived": false,
"is_disabled": false,
"license_spdx": "BSD-3-Clause",
"default_branch": "master",
"license_spdx_raw": "BSD-3-Clause",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": null,
"name": "Luiz Fernando",
"type": "User",
"login": "luizfernandolj",
"company": "Unioeste",
"location": "Foz do Iguaçu PR",
"followers": 7,
"avatar_url": "https://avatars.githubusercontent.com/u/82833313?v=4",
"created_at": "2021-04-19T16:53:31Z",
"is_verified": null,
"public_repos": 20,
"account_age_days": 1922
},
"license": {
"state": "standard",
"spdx_id": "BSD-3-Clause",
"raw_spdx": "BSD-3-Clause",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v0.5.1",
"kind": "patch",
"published_at": "2026-06-26T16:41:14Z"
},
{
"tag": "v0.5.0",
"kind": "minor",
"published_at": "2026-06-25T20:48:15Z"
},
{
"tag": "v0.4.1",
"kind": "patch",
"published_at": "2026-06-16T15:27:02Z"
},
{
"tag": "v0.4.0",
"kind": "minor",
"published_at": "2026-06-15T21:15:29Z"
},
{
"tag": "v0.3.1",
"kind": "patch",
"published_at": "2026-05-27T22:16:00Z"
},
{
"tag": "v0.3.0",
"kind": "minor",
"published_at": "2026-05-25T18:09:04Z"
},
{
"tag": "v0.2.1",
"kind": "patch",
"published_at": "2026-05-04T19:14:18Z"
},
{
"tag": "v0.2.0",
"kind": "minor",
"published_at": "2026-02-09T21:45:49Z"
},
{
"tag": "v0.1.30",
"kind": "patch",
"published_at": "2026-02-06T13:52:25Z"
},
{
"tag": "v0.1.29",
"kind": "patch",
"published_at": "2026-02-06T13:49:59Z"
},
{
"tag": "v0.1.28",
"kind": "patch",
"published_at": "2026-02-05T20:59:11Z"
},
{
"tag": "v0.1.27",
"kind": "patch",
"published_at": "2026-02-05T18:45:32Z"
},
{
"tag": "v0.1.26",
"kind": "patch",
"published_at": "2026-02-04T16:58:01Z"
},
{
"tag": "v0.1.25",
"kind": "patch",
"published_at": "2026-02-03T20:51:27Z"
},
{
"tag": "v0.1.24",
"kind": "patch",
"published_at": "2026-02-03T20:14:11Z"
},
{
"tag": "v0.1.23",
"kind": "patch",
"published_at": "2026-02-02T20:00:56Z"
},
{
"tag": "v0.1.22",
"kind": "patch",
"published_at": "2026-02-02T19:13:19Z"
},
{
"tag": "v0.1.21",
"kind": "patch",
"published_at": "2026-02-02T19:11:01Z"
},
{
"tag": "v0.1.20",
"kind": "patch",
"published_at": "2025-12-15T16:34:33Z"
},
{
"tag": "v0.1.19",
"kind": "patch",
"published_at": "2025-12-11T17:46:24Z"
},
{
"tag": "v0.1.18",
"kind": "patch",
"published_at": "2025-12-08T20:49:51Z"
},
{
"tag": "v0.1.17",
"kind": "patch",
"published_at": "2025-12-08T20:40:47Z"
},
{
"tag": "v0.1.16",
"kind": "patch",
"published_at": "2025-12-08T19:28:11Z"
},
{
"tag": "v0.1.15",
"kind": "patch",
"published_at": "2025-12-08T19:09:38Z"
},
{
"tag": "v0.1.14",
"kind": "patch",
"published_at": "2025-12-08T18:39:56Z"
},
{
"tag": "v0.1.13",
"kind": "patch",
"published_at": "2025-12-02T16:46:54Z"
},
{
"tag": "v0.1.12",
"kind": "patch",
"published_at": "2025-12-02T15:58:31Z"
},
{
"tag": "v0.1.11",
"kind": "patch",
"published_at": "2025-11-21T21:11:46Z"
},
{
"tag": "v0.1.10",
"kind": "patch",
"published_at": "2025-11-21T17:50:12Z"
},
{
"tag": "v0.1.9",
"kind": "patch",
"published_at": "2025-11-10T22:20:33Z"
},
{
"tag": "v0.1.8",
"kind": "patch",
"published_at": "2025-10-20T16:19:45Z"
},
{
"tag": "v0.1.7",
"kind": "patch",
"published_at": "2025-08-24T01:51:24Z"
},
{
"tag": "v0.1.6",
"kind": "patch",
"published_at": "2025-08-22T17:53:49Z"
},
{
"tag": "v0.1.5",
"kind": "patch",
"published_at": "2025-08-22T17:18:19Z"
},
{
"tag": "v0.1.4",
"kind": "patch",
"published_at": "2025-08-22T15:59:00Z"
},
{
"tag": "v0.1.3",
"kind": "patch",
"published_at": "2025-06-18T18:11:43Z"
},
{
"tag": "v0.1.2",
"kind": "patch",
"published_at": "2025-04-10T15:32:58Z"
},
{
"tag": "v0.1.1",
"kind": "patch",
"published_at": "2025-04-04T16:22:31Z"
},
{
"tag": "v0.1.0",
"kind": "minor",
"published_at": "2025-02-07T20:58:58Z"
},
{
"tag": "v0.0.11.3",
"kind": "other",
"published_at": "2024-08-15T13:59:13Z"
}
],
"recent_commits": [
{
"oid": "ac6173551f6eae67d4ff8568f276473fe34cd287",
"body": "…ndex page with better color theme",
"is_bot": false,
"headline": "updated README with new example, fix verbose for apply_protocol and i…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-26T16:35:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "24a8a85e9a2c8b08a9041d8281b9fb7aed72e8e1",
"body": null,
"is_bot": false,
"headline": "fix CI tests not installing viz for optional matplotlib",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-25T20:41:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0f8f62e459bcf38949e26cfe75d95e344b1145c6",
"body": "…amples",
"is_bot": false,
"headline": "add classifier calibration along with respective documentation and ex…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-25T20:30:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cf7e91cc5efac3a6bb87e6ef4f41d9425d79df9b",
"body": null,
"is_bot": false,
"headline": "Merge branch 'master' into mlquantify-Refactoring",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-25T18:27:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "11dc94b892b638f60475ceee97611d41a9026191",
"body": null,
"is_bot": false,
"headline": "fix CHANGELOG pointing to wrong version",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-25T15:00:54Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "104bfa807586d5075c003ba907d40c21ed7074ec",
"body": null,
"is_bot": false,
"headline": "fix breaking changes and unused imports and duplicated files",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-25T14:54:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5dc46f7282e9762dae2001e1c91983843ba83787",
"body": null,
"is_bot": false,
"headline": "add documentations for datasets and fix fetch tests",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-23T21:02:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6df00c03e363dbe7361e74fc83e21ffbf0d9e753",
"body": null,
"is_bot": false,
"headline": "add dataset fetch for quantification along with api reference",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-23T19:06:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9cb6de13737e82b96cdd1b2aadc79035d14de281",
"body": null,
"is_bot": false,
"headline": "add sunthetic datasets to user guide page",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-18T19:18:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a4c6f7176defda531567fb2967b7d9f176de19ea",
"body": null,
"is_bot": false,
"headline": "add 3 class visualization for synthetic shift types examples",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-18T18:23:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4de29cad44823d488d2f0f9eb4bccc81eaf0bbc7",
"body": "…ncept shift, stacking, return_boundary) with synthetic-data example gallery and homepage card",
"is_bot": false,
"headline": "feat(datasets): add make_quantification generator (prior/covariate/co…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-18T16:10:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "705f4929dc78ea73044c813e40d06dcf95a15048",
"body": null,
"is_bot": false,
"headline": "add examples and homepage modules visualizations",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-17T21:51:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b39eea3965188fd148ac35066cc8daca3e934af0",
"body": null,
"is_bot": false,
"headline": "add CHANGELOG link to README.md",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T19:57:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "85cd6dc4b7ca69c336238bd4ec5c05463680df29",
"body": null,
"is_bot": false,
"headline": "add python versions and unit test badges to README.md",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T19:22:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0c97febae3efded4c865dd4250850787ca96c09e",
"body": null,
"is_bot": false,
"headline": "add dev banner for not stable version",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T19:05:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "372816443b5cef2b8bd5ec3f7213bcb5ec818b5d",
"body": "…ion plots",
"is_bot": false,
"headline": "feat(visualization): add sklearn-style Display module for quantificat…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T18:44:13Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "da5f122fbadbb3b184c8472a6d811d956868670c",
"body": null,
"is_bot": false,
"headline": "edit publish pypl workflow",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T15:25:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f643e515e8252f198a565a067b7f97491886bb33",
"body": null,
"is_bot": false,
"headline": "add CODE_OF_CONDUCT file from template",
"author_name": "Luiz Fernando",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T15:00:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2c6c5692dd690f8be3f75759edb063229c5aa4a6",
"body": "…_version__, add CITATION/CONTRIBUTING/CODE_OF_CONDUCT",
"is_bot": false,
"headline": "chore: prep for publication — fix packaging metadata + URLs, expose _…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T14:39:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "91a96cce4068c93521bcc12c710f4454994ddcbe",
"body": null,
"is_bot": false,
"headline": "set index page to stable version",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-16T13:24:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ce426ae51aa18e25301ed47baf152556f592042b",
"body": "…enBLAS build failure)",
"is_bot": false,
"headline": "Verify wheel kernel by content inspection, not import (fixes cp311 Op…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-15T21:42:31Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7db1e251545d81fc5423cd580108e8fa702821ce",
"body": null,
"is_bot": false,
"headline": "Fix CI: py3.9 import for other files",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-15T21:10:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a3fa9f454f19727df00b2f292dc3f6da8a60cf7e",
"body": null,
"is_bot": false,
"headline": "Fix CI: py3.9 import, doctest flakiness, and dev version build",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-15T20:46:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9817d678a98e58934006ff4a756ca9462a3ddf42",
"body": null,
"is_bot": false,
"headline": "remove .vscode from repository",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-15T20:11:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4ae79a0afb4f6c93bf68dbc068b5205faf81dabd",
"body": null,
"is_bot": false,
"headline": "remove .vscode from repository",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-15T20:11:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "896495a56d55868623c29639e6d78cf8405ce788",
"body": "…d code",
"is_bot": false,
"headline": "GridSearchQ instance API + best_*_ attrs; green doctests/CI; drop dea…",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-06-15T02:46:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "934644b303a01e90ba69c5a41612683b19578d6c",
"body": "…d code",
"is_bot": false,
"headline": "GridSearchQ instance API + best_*_ attrs; green doctests/CI; drop dea…",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-06-15T02:46:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "14d6e08e498936a77b6f4954d0c6a075b11fe8f4",
"body": null,
"is_bot": false,
"headline": "Add APP strategy param + classes arg on aggregate; fix multiclass CC",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-06-14T14:44:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1cba61884ce44cfb7663150225cf6509b018a4a4",
"body": null,
"is_bot": false,
"headline": "Add APP strategy param + classes arg on aggregate; fix multiclass CC",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-06-14T14:44:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "556e1b264af8e310993e854216c1849341112a52",
"body": "…ildwheel, v0.4.0 changelog, cython/representation docs",
"is_bot": false,
"headline": "rename cython kernel to _histogram_sweep, add no-sweep warning + cibu…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T22:16:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "093a039deac49a804dd28b6a6be31c27fdd3266b",
"body": "…ildwheel, v0.4.0 changelog, cython/representation docs",
"is_bot": false,
"headline": "rename cython kernel to _histogram_sweep, add no-sweep warning + cibu…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T22:16:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ee18fbb1e671b666a9770f114fa49a95103e6504",
"body": null,
"is_bot": false,
"headline": "fix un-nested documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T18:15:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "606c53b2794fc65e872ca6a69e39540e7b7d276f",
"body": null,
"is_bot": false,
"headline": "fix un-nested documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T18:15:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "23e2ef788431e018e824c09d5db6e67e79937885",
"body": "… cache, multiclass strategy registry, docs + normalize_prevalence fix",
"is_bot": false,
"headline": "cython matching kernel, vectorised threshold/median-sweep, gridsearch…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T17:27:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b6ecb3cf82b0817231b11f86a0584e1a37ffc59f",
"body": "… cache, multiclass strategy registry, docs + normalize_prevalence fix",
"is_bot": false,
"headline": "cython matching kernel, vectorised threshold/median-sweep, gridsearch…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T17:27:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4d1e3441323e8b513709dada70d65850e48e4558",
"body": null,
"is_bot": false,
"headline": "fix documentation for apply_protocol and add cython plan implementation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T05:29:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2a2a5f9fa1ab10ec3971241bd41ce3189425174b",
"body": null,
"is_bot": false,
"headline": "fix documentation for apply_protocol and add cython plan implementation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T05:29:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a4524cda764a25e865dec080cff41373748c53d9",
"body": "Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "add apply_protocol for easy protocol-based quantifier evaluation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T05:14:30Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "1549f7e24d7db1b74ff05c848df1b586e24903d9",
"body": null,
"is_bot": false,
"headline": "add apply_protocol for easy protocol-based quantifier evaluation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T05:14:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "22b83c72d0ac05ec88a5ea6649e672a41188062d",
"body": "…ation plots, fix MLPE to its trivial baseline",
"is_bot": false,
"headline": "standardize docstrings + user guide across all modules, add represent…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-12T04:56:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "acf575532eaaf00eef054e9d34fb70cde3f3a349",
"body": null,
"is_bot": false,
"headline": "add versioning",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-11T18:39:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2bf521cc4d159c29fb6c6a8704c63a42a4fe1ff1",
"body": null,
"is_bot": false,
"headline": "update README for new version v0.3.1",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-11T18:28:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cf704991ea453346ab3c7fe1e7af58ba82c4b7fd",
"body": "…d examples",
"is_bot": false,
"headline": "new documentation for user guide and some other classes with plots an…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-06-09T22:38:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "99c2d5ea191f69ce24cf850fe2ccafc281dba210",
"body": null,
"is_bot": false,
"headline": "fix icon for website",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-28T17:59:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cec2a0c9ddbae4ae4da00cddd286b0b17ac6967b",
"body": null,
"is_bot": false,
"headline": "fix title and naming for index.html for google search",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-28T17:33:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "32360a37c0282a4356ceb0f40514f1698689a99f",
"body": "…on parameters for threshold adjustment, add ACC class with crisp predictions and fix multiclass with estimator_fitted=True",
"is_bot": false,
"headline": "add laplace smoothing for HistogramRepresentation, add cross validati…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-27T22:14:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fa1347f689f04bc58fe673c8e8b75471640ce649",
"body": null,
"is_bot": false,
"headline": "add CHANGELOG for 0.3.0 version",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-25T18:44:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ac8aa422bf03e4d725e7ce81058e0e157ac9b540",
"body": null,
"is_bot": false,
"headline": "fix warnings and import of quanet for docs",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-25T17:48:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4c522498eebede27f7487ff114d5653b25a1b4a0",
"body": "…adjustments)",
"is_bot": false,
"headline": "add docs and user guide for the new structure (need some referencial …",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-25T17:38:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9c574a55db788f04c23f24e3ea901ac4cb9fff24",
"body": null,
"is_bot": false,
"headline": "writing documentation for the new structure 2",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-25T13:33:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5538314201d158dfc1685ae742b0c04ac093bfe2",
"body": null,
"is_bot": false,
"headline": "writing documentation for the new structure",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-05-25T04:51:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ba15c776b132a7ee912beca2c58c19df57539a6e",
"body": null,
"is_bot": false,
"headline": "changes of learner to estimator within all library",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-22T21:23:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "adc9a1074bc668b83a1df39f3840f84a7b0332b4",
"body": null,
"is_bot": false,
"headline": "add comparision between quapy and qunfold for equivalent results",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-21T13:16:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3f074c855832c899f418b7898683b43f6b1af59a",
"body": "- Introduce new losses, representations, and energy distance matching\n- Update quantifiers to use the new modular structure\n- Expand tests for losses, solvers, methods, and representations",
"is_bot": false,
"headline": "Add modular losses and representations across the library",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-19T21:59:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "65048dd5d648ae86d6ced9ecfbc4bb84bc0c55c3",
"body": null,
"is_bot": false,
"headline": "add new structure for new representation and solvers modules",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-05-18T01:02:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8971c97959075da22a63155e8ef04341107dfcee",
"body": null,
"is_bot": false,
"headline": "start implementation of qunfold methods and some refacgoring",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-15T21:49:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "452e1d12cb42c04b91e69c6d33d25691c6de4e53",
"body": "…o accept additional parameters and improve predict method for better handling of input data\n\nCo-authored-by: Copilot <copilot@github.com>",
"is_bot": false,
"headline": "refactor of ComposeQuantifier in compose module: enhance fit method t…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-05-04T19:03:34Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "baea61fc158854619aa774ce24f0e88fc060cbfc",
"body": "…he qunfold package with associated tests",
"is_bot": false,
"headline": "refactor: reorganize code structure and add compose module wrapping t…",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-05-03T19:57:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7d2f13c3e45ce1075cc85f388cf263fb09aaf2b8",
"body": null,
"is_bot": false,
"headline": "removed test file",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-25T20:49:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a726ec16ca347ecbc965e594f2da3280102f1e9b",
"body": null,
"is_bot": false,
"headline": "add use of abstention library for calibrating scores in EMQ",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-25T19:45:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f371cab7697d8aa18bdbbb2eff7e6ffb441fe5f6",
"body": null,
"is_bot": false,
"headline": "add calibration for test scores in EMQ",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-25T15:51:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dedc44dc85af6bc0d9df0d58a4eb5eec02b74960",
"body": null,
"is_bot": false,
"headline": "bugfix with unit tests across all methods",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-11T18:42:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e5b81615b51c098b433453afea9117e84f986bf0",
"body": null,
"is_bot": false,
"headline": "remade new tests",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-11T15:43:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "067421093ff2a92fc22b25137b4a8c7fb6e404e1",
"body": null,
"is_bot": false,
"headline": "add folder for unit testing again",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T21:43:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4c7e6c2e944a3835e858e247f8c8d7d9b6ef1ec9",
"body": null,
"is_bot": false,
"headline": "removed config module and put into mlquantify",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T21:22:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "75232fd48400d380e1583a136bcb42c424757cd2",
"body": null,
"is_bot": false,
"headline": "add config module for globat configuration in mlquantify",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T21:17:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d5a60a4f45cbd6a52a187989ce4210a24422804c",
"body": null,
"is_bot": false,
"headline": "Merge remote-tracking branch 'origin/mlquantify-Refactoring'",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T20:59:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7672a4046164a3025f1eec20cc33990d846a844c",
"body": null,
"is_bot": false,
"headline": "add new rule for gitattributes",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T20:55:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "360721984c0afc01a8f8900a4fe3c7d1b5d830a0",
"body": null,
"is_bot": false,
"headline": "add markdown explaining tests cases",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T20:54:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "110089696e64a187c6177169b32d038cc1c22b59",
"body": null,
"is_bot": false,
"headline": "add gitattributes",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T20:48:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a53a18b30e1881f9f5e90498379934b5905062a5",
"body": null,
"is_bot": false,
"headline": "add gitattributes for not merging unit tests",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T20:46:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "217bd6c76ef943a3fa0f2592b7750d264570d3ee",
"body": null,
"is_bot": false,
"headline": "add pytest for mlquantify unit test",
"author_name": "luiz",
"author_login": "luizfernandolj",
"committed_at": "2026-02-09T03:32:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6b95064702ceda78e9fdf07cf30a7654a84eba20",
"body": null,
"is_bot": false,
"headline": "add new folder for unit testing",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-06T21:53:31Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6d04ed1b2281c85d2b3b09368f434be392dbde36",
"body": null,
"is_bot": false,
"headline": "add global configuratino and multiclass parallel functionality",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-06T21:15:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2bdc1ab04969e8eb84ae2ba2cc19d952ef66bfbc",
"body": null,
"is_bot": false,
"headline": "add getting started page for documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-06T15:03:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3e0b185d3e66b0f2ab6c5b6df7611e5c28d5565e",
"body": null,
"is_bot": false,
"headline": "fix return values for function optimize on simplex",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-06T13:51:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "81c8be6be088250d8b0cc8b9c13e1e09e3395f4b",
"body": null,
"is_bot": false,
"headline": "fix return function for optimize on simplex",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-06T13:48:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "eef298c71a18004a46359e84a2b0a0747d45a63b",
"body": null,
"is_bot": false,
"headline": "fix import missing in EMQ",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-05T20:58:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dd0fdb02d27d9bbacaee6c58f0cb0f258d83baaa",
"body": null,
"is_bot": false,
"headline": "add new meta properties for documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-05T20:29:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1a80ff8fd8b799f21ba31aac6a5b5d8fb1b5e069",
"body": "…nf.py",
"is_bot": false,
"headline": "removed build files for documentation and extended html context in co…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-05T20:24:54Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "502ad79230d962c9ac91373d7d22d598ed2282a2",
"body": null,
"is_bot": false,
"headline": "add new config yml file for Jekyll",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-05T20:06:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8f40f16a06a1722edd6142a9fce56054429aea13",
"body": null,
"is_bot": false,
"headline": "add new style for home page and color pallete",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-05T19:58:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b810baf46d0022bc02e3d2a7b57cdf2f1a011c59",
"body": null,
"is_bot": false,
"headline": "fix cross validation in aggregative methods and AC and PAC functionality",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-05T18:42:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "de6534b581e4f71bc54e68f2bfc0ef44e9f5451c",
"body": "…ibrary",
"is_bot": false,
"headline": "add new page for user guide with description for all methods in the l…",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-04T22:03:35Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c68dd0276148367aab84df302b5d8f3ad7712b36",
"body": null,
"is_bot": false,
"headline": "fix KDE code with scores generation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-04T16:57:24Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "84c250f2a40659dff6e572dccb3927f1b86e5493",
"body": null,
"is_bot": false,
"headline": "fix mathematical formulations for confidence module",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T20:58:39Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0487de5466da23c42f5f25a13005b280c53457f4",
"body": null,
"is_bot": false,
"headline": "fix confidence ellipse simplex documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T20:47:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "933562e56c13f7a855a2aacbd6845dbf9a0ac9bb",
"body": null,
"is_bot": false,
"headline": "fix wrong validation for prevalences",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T20:31:22Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ae144859d4da9f2866821ea61468bc43c7aa11c0",
"body": null,
"is_bot": false,
"headline": "fix Matrix adjustment methods",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T20:13:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cdceb268ad865e620b4ea2d7f56e321675467246",
"body": null,
"is_bot": false,
"headline": "fix confidence module documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T20:08:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0277c2d831ea26c9a29977e0166179e02be12478",
"body": null,
"is_bot": false,
"headline": "fix source link for api documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T19:57:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5c791f4f141782122d64608cc628eb128efc46fa",
"body": null,
"is_bot": false,
"headline": "fix EMQ documentation with mathematical formulations",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T19:47:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4624a6919c901f3f013e6cfd188a6b89496ba7f1",
"body": null,
"is_bot": false,
"headline": "fix module hook for api documentation, for source button",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T19:36:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "48ba437148a883a31934427e575598f8461c92c9",
"body": null,
"is_bot": false,
"headline": "fix FM and CDE math documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T19:26:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a23863288ec43e553f43fd36ae63f9f37e114689",
"body": null,
"is_bot": false,
"headline": "fix CC reference documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T19:21:00Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cd2739453c7bab400ca876a088a996d020b7d399",
"body": null,
"is_bot": false,
"headline": "fix docs for api documentation",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T19:16:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f67693a85d11416d4fd3fceecf015fc6a3af409a",
"body": null,
"is_bot": false,
"headline": "add new tab for user guide in aggregative quantification",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T19:08:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1570de51bf46c8588c317b59cd0b18275b3447b0",
"body": null,
"is_bot": false,
"headline": "adjustment on documentation of adjust counting methods",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T18:55:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c959247fc136d4d142afcea13c83e524a7b34445",
"body": null,
"is_bot": false,
"headline": "fix FM prevalence adjustment edge case",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T18:28:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2170e6b540037aa5689b06dc8e989d266e84041d",
"body": null,
"is_bot": false,
"headline": "fix Methods names for api reference",
"author_name": "luizfernandolj",
"author_login": "luizfernandolj",
"committed_at": "2026-02-03T16:59:22Z",
"body_truncated": false,
"is_coding_agent": false
}
],
"releases_count": 40,
"commits_last_year": 251,
"latest_release_at": "2026-06-26T16:41:14Z",
"latest_release_tag": "v0.5.1",
"releases_from_tags": false,
"days_since_last_push": 22,
"active_weeks_last_year": 22,
"days_since_latest_release": 28,
"mean_days_between_releases": 15.6
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 71,
"has_issue_template": false,
"has_code_of_conduct": true,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "mlquantify",
"exists": true,
"license": "BSD-3-Clause",
"keywords": [
"python",
"machine learning",
"quantification",
"quantify",
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Operating System :: MacOS :: MacOS X",
"Operating System :: Microsoft :: Windows",
"Operating System :: Unix",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.9",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/mlquantify/",
"is_deprecated": false,
"latest_version": "0.5.1",
"repository_url": "https://github.com/luizfernandolj/mlquantify",
"versions_count": 51,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": 2674,
"first_published_at": "2024-08-13T17:47:40.982986Z",
"latest_published_at": "2026-06-26T16:52:11.896460Z",
"latest_version_yanked": null,
"days_since_latest_publish": 28
}
]
},
"popularity": {
"forks": 1,
"stars": 10,
"watchers": 1,
"fork_history": {
"days": [
{
"date": "2025-09-10",
"count": 1
}
],
"complete": true,
"collected": 1,
"total_forks": 1
},
"star_history": null,
"open_issues_and_prs": 0
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [
"docs/Makefile"
],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"toolchain_manifests": [],
"largest_source_bytes": 51515,
"source_files_sampled": 133,
"oversized_source_files": 0,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"pyproject.toml",
"setup.py"
],
"advisories": {
"error": null,
"scope": "published_package",
"source": "osv",
"findings": [],
"collected": true,
"malicious": [],
"truncated": false,
"by_severity": {},
"advisory_count": 0,
"affected_count": 0,
"assessed_count": 10,
"malicious_count": 0,
"assessed_package": "pypi:mlquantify@0.5.1",
"unassessed_count": 0,
"direct_affected_count": 0
},
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "scikit-learn",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.1"
},
{
"name": "numpy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.23"
},
{
"name": "scipy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.8"
},
{
"name": "joblib",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.1"
},
{
"name": "tqdm",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=4.60"
},
{
"name": "pandas",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.4"
}
],
"all_dependencies": {
"error": null,
"source": "github-sbom",
"packages": [
{
"name": "joblib",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pandas",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scikit-learn",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scipy",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tqdm",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "cython",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "setuptools",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": null,
"ecosystem": "pypi"
}
],
"collected": true,
"truncated": false,
"total_count": 10,
"direct_count": 6,
"indirect_count": 4
}
},
"maintainership": {
"issues": {
"open_prs": 0,
"merged_prs": 1,
"open_issues": 0,
"closed_ratio": null,
"closed_issues": 0,
"closed_unmerged_prs": 0
},
"bus_factor": 1,
"bot_contributors": 0,
"top_contributors": [
{
"type": "User",
"login": "luizfernandolj",
"commits": 365,
"avatar_url": "https://avatars.githubusercontent.com/u/82833313?v=4"
},
{
"type": "User",
"login": "Bachega",
"commits": 4,
"avatar_url": "https://avatars.githubusercontent.com/u/58402366?v=4"
}
],
"contributors_sampled": 2,
"top_contributor_share": 0.989
},
"quality_signals": {
"has_ci": true,
"has_tests": true,
"ci_workflows": [
"deploy-docs.yml",
"python-publish.yml",
"tests.yml"
],
"has_docs_dir": true,
"linter_configs": [],
"has_editorconfig": false,
"has_linter_config": false,
"has_precommit_config": false
},
"security_signals": {
"lockfiles": [],
"scorecard": {
"checks": [
{
"name": "Binary-Artifacts",
"score": 10,
"reason": "no binaries found in the repo",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
},
{
"name": "Branch-Protection",
"score": 0,
"reason": "branch protection not enabled on development/release branches",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
},
{
"name": "CI-Tests",
"score": null,
"reason": "no pull request found",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#ci-tests"
},
{
"name": "CII-Best-Practices",
"score": 0,
"reason": "no effort to earn an OpenSSF best practices badge detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
},
{
"name": "Code-Review",
"score": 0,
"reason": "Found 0/30 approved changesets -- score normalized to 0",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
},
{
"name": "Contributors",
"score": 3,
"reason": "project has 1 contributing companies or organizations -- score normalized to 3",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
},
{
"name": "Dangerous-Workflow",
"score": 10,
"reason": "no dangerous workflow patterns detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
},
{
"name": "Dependency-Update-Tool",
"score": 0,
"reason": "no update tool detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
},
{
"name": "Fuzzing",
"score": 0,
"reason": "project is not fuzzed",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
},
{
"name": "License",
"score": 10,
"reason": "license file detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
},
{
"name": "Maintained",
"score": 10,
"reason": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
},
{
"name": "Packaging",
"score": 10,
"reason": "packaging workflow detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
},
{
"name": "Pinned-Dependencies",
"score": 0,
"reason": "dependency not pinned by hash detected -- score normalized to 0",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
},
{
"name": "SAST",
"score": 0,
"reason": "no SAST tool detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
},
{
"name": "Security-Policy",
"score": 0,
"reason": "security policy file not detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
},
{
"name": "Signed-Releases",
"score": null,
"reason": "no releases found",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#signed-releases"
},
{
"name": "Token-Permissions",
"score": 0,
"reason": "detected GitHub workflow tokens with excessive permissions",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
},
{
"name": "Vulnerabilities",
"score": 10,
"reason": "0 existing vulnerabilities detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
}
],
"commit": "ac6173551f6eae67d4ff8568f276473fe34cd287",
"ran_at": "2026-07-25T14:08:52Z",
"aggregate_score": 4.3,
"scorecard_version": "v5.5.0"
},
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"contribution_flow": {
"collected": true,
"ci_last_run_at": "2026-07-17T17:47:22Z",
"oldest_open_prs": [],
"last_merged_pr_at": "2025-08-22T14:04:10Z",
"ci_last_conclusion": "SUCCESS",
"oldest_open_issues": []
}
},
"config": {
"disabled_metrics": [],
"disabled_categories": [],
"disabled_components": {}
},
"source": {
"url": "https://github.com/luizfernandolj/mlquantify",
"host": "github.com",
"name": "mlquantify",
"owner": "luizfernandolj"
},
"metrics": {
"overall": {
"key": "overall",
"band": "moderate",
"name": "Overall health",
"note": null,
"notes": [],
"value": 63,
"inputs": {
"security": 54,
"vitality": 83,
"community": 50,
"governance": 54,
"engineering": 72
},
"components": []
},
"categories": [
{
"key": "vitality",
"band": "good",
"name": "Vitality",
"value": 83,
"weight": 0.22,
"metrics": [
{
"key": "development_activity",
"band": "good",
"name": "Development activity",
"note": null,
"notes": [],
"value": 72,
"inputs": {
"commits_last_year": 251,
"human_commit_share": 1,
"days_since_last_push": 22,
"active_weeks_last_year": 22
},
"components": [
{
"key": "push_recency",
"name": "Push recency",
"detail": "last push 22 days ago",
"points": 28.8,
"status": "partial",
"details": [
{
"code": "push_recency",
"params": {
"days": 22
}
}
],
"max_points": 36
},
{
"key": "commit_cadence",
"name": "Commit cadence",
"detail": "22/52 weeks with commits",
"points": 15.2,
"status": "partial",
"details": [
{
"code": "commit_cadence_weeks",
"params": {
"weeks": 22
}
}
],
"max_points": 36
},
{
"key": "commit_volume",
"name": "Commit volume",
"detail": "251 commits in the last year",
"points": 18,
"status": "met",
"details": [
{
"code": "commits_last_year",
"params": {
"count": 251
}
}
],
"max_points": 18
},
{
"key": "openssf_scorecard_maintained",
"name": "OpenSSF Scorecard: Maintained",
"detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "release_discipline",
"band": "excellent",
"name": "Release discipline",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 100,
"inputs": {
"releases_count": 40,
"latest_release_tag": "v0.5.1",
"releases_from_tags": false,
"days_since_latest_release": 28,
"mean_days_between_releases": 15.6
},
"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "40 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 40
}
}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 28 days ago",
"points": 36,
"status": "met",
"details": [
{
"code": "release_recency",
"params": {
"days": 28
}
}
],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "a release every ~15.6 days",
"points": 27,
"status": "met",
"details": [
{
"code": "release_cadence",
"params": {
"gap": 15.6
}
}
],
"max_points": 27
},
{
"key": "openssf_scorecard_signed_releases",
"name": "OpenSSF Scorecard: Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "abandonment",
"band": "excellent",
"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "maintained",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
"unverified_reason": null,
"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": 28,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "last human commit 28 days ago",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_maintained",
"params": {
"days": 28
}
}
],
"max_points": 100
}
]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "moderate",
"name": "Community & Adoption",
"value": 50,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "critical",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 16,
"inputs": {
"forks": 1,
"stars": 10,
"watchers": 1,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "10 stars",
"points": 15.5,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 10
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "1 forks",
"points": 0,
"status": "missed",
"details": [
{
"code": "forks",
"params": {
"count": 1
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "1 watchers",
"points": 0,
"status": "missed",
"details": [
{
"code": "watchers",
"params": {
"count": 1
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "excellent",
"name": "Community health",
"note": null,
"notes": [],
"value": 85,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": true,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (BSD-3-Clause)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "BSD-3-Clause"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 13.5,
"status": "met",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
"band": "moderate",
"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 57,
"inputs": {
"packages": [
"mlquantify"
],
"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 2674
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "2,674 downloads/month across pypi",
"points": 45.7,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 2674,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 54,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "critical",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 15,
"inputs": {
"bus_factor": 1,
"contributors_sampled": 2,
"top_contributor_share": 0.989
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 99% of commits",
"points": 0.2,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 99
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "2 contributors",
"points": 2.7,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 2
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 3,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": "Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"issue_resolution"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 72,
"inputs": {
"merged_prs": 1,
"open_issues": 0,
"closed_issues": 0,
"issue_closed_ratio": null,
"closed_unmerged_prs": 0
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "no issues or no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_issues_or_data",
"params": {}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "1/1 decided PRs merged",
"points": 38.2,
"status": "met",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 1,
"decided": 1
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
}
]
},
{
"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",
"params": {
"components": [
"verified_domain"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 46,
"inputs": {
"followers": 7,
"owner_type": "User",
"is_verified": null,
"owner_login": "luizfernandolj",
"public_repos": 20,
"account_age_days": 1922
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "personal (user) account",
"points": 10,
"status": "partial",
"details": [
{
"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": "7 followers of luizfernandolj",
"points": 6.5,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 7,
"login": "luizfernandolj"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "20 public repos, account ~5 yr old",
"points": 20.2,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 20
}
},
{
"code": "account_age_years",
"params": {
"years": 5
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"mlquantify"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 28
},
"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 28 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 28
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "51 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 51
}
}
],
"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": 72,
"weight": 0.2,
"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": 90,
"inputs": {
"topics": [
"machine-learning",
"prevalence-estimation",
"python",
"quantification"
],
"has_wiki": false,
"homepage": "https://luizfernandolj.github.io/mlquantify/",
"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": "https://luizfernandolj.github.io/mlquantify/",
"points": 15,
"status": "met",
"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": "4 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 4
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 54,
"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": 43,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 4.3
},
"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 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"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": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow 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": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mlquantify@0.5.1 runtime dependency closure — what installing the published package pulls in — 10 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:mlquantify@0.5.1",
"assessed": 10
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 10,
"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": "excellent",
"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": 10,
"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
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 2
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "at_risk",
"name": "AI Readiness",
"value": 33,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 4,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.07,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "7 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 3.7,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 7,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "at_risk",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 44,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"docs/Makefile"
],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0.02,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "docs/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docs/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": "2 of the last 100 commits agent-authored or agent-credited",
"points": 4,
"status": "partial",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 2,
"sampled": 100
}
}
],
"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": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 51515,
"source_files_sampled": 133,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/133 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 133,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-25T14:08:58.686498Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/luizfernandolj/mlquantify.svg",
"full_name": "luizfernandolj/mlquantify",
"license_state": "standard",
"license_spdx": "BSD-3-Clause"
}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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.