Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.26.0 · Metriken 1.13.0 · 2026-07-22 07:00 UTC
openbraininstitute / entitysdk
Python SDK for managing scientific entities with type-safe models and asset management capabilities.
openbraininstitute/entitysdk erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (98/100) ab, am schwächsten bei AI Readiness (39/100). Zuletzt heute aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
70
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.
70
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
Open Brain InstituteOrganisation
35 Follower117 öffentliche Reposseit Dez. 2024
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | entitysdk | 0.19.7 | 2.503 | 95 | vor 0 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
98
Entwicklungsaktivität
96Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 31.8/36 | Commit-Rhythmus — 46/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 134 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 134 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 46 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 94 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 0 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 4,4 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 94 |
| latest_release_tag | v0.19.7 |
| releases_from_tags | nein |
| days_since_latest_release | 0 |
| mean_days_between_releases | 4,4 |
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?
40
Popularität & Verbreitung
3Kritisch
Wie die Bewertung erfolgt
| 0/60 | Stars — 2 Stars |
| 0/25 | Forks — 0 Forks |
| 2.7/15 | Watcher — 4 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 2 |
| watchers | 4 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | below_threshold |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | 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 | nein |
| has_pull_request_template | nein |
Wie die Bewertung erfolgt
| 45.3/80 | Downloads pro Monat — 2.503 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | entitysdk |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2.503 |
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?
74
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 12/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 47 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 12 Beitragende |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 12 |
| top_contributor_share | 0,468 |
Reaktionsfähigkeit bei Issues & PRs
89Exzellent
Wie die Bewertung erfolgt
| 37.7/46.8 | Issue-Lösungsquote — 81 % der Issues geschlossen |
| 37.4/38.3 | PR-Annahme — 212/217 entschiedene PRs gemergt |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
Verwendete Eingangsdaten
| merged_prs | 212 |
| open_issues | 7 |
| closed_issues | 29 |
| issue_closed_ratio | 0,806 |
| closed_unmerged_prs | 5 |
Eigentümerschaft & Trägerschaft
58Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 11.2/25 | Reichweite des Inhabers — 35 Follower von openbraininstitute |
| 16.3/25 | Kontohistorie — 117 öffentliche Repos, Kontoalter ca. 1 Jahre |
Verwendete Eingangsdaten
| followers | 35 |
| owner_type | Organization |
| is_verified | — |
| owner_login | openbraininstitute |
| public_repos | 117 |
| account_age_days | 595 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen |
| 20/20 | Versionshistorie — 95 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | entitysdk |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 0 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
70
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — tox.ini |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
50Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | api-client, neuroscience, pydantic, python3, scientific-computing, sdk |
| has_wiki | nein |
| homepage | — |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
61
Sicherheitslage
61Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 29 out of 29 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6.8/7.5 | Code-Review — Found 29/30 approved changesets -- score normalized to 9 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 1 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 |
| 5/5 | SAST — SAST tool is run on all commits |
| 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 | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
39
AI-Agentenkontext & Leitlinien
40Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 91 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,91 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
33Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — tox.ini |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 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 | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | 0 |
| 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 |
| 54.7/55 | Handhabbare Dateigrößen — 1/180 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 255.513 |
| source_files_sampled | 180 |
| oversized_source_files | 1 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
2GitHub-Sterne
12Mitwirkende
134Commits, letzte 12 Monate
0Tage seit letztem Push
94Releases
2Bus-Faktor
7offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- deps.dev does not index pypi:entitysdk@0.19.7; advisories assessed against the repository dependency graph instead
- No resolved dependencies carried a version and a supported ecosystem
Weitere Details
Stern- und Fork-Verlauf 2 ★ / 0 ⇿
2Sterne
15Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 4Patch 11
OpenSSF Scorecard 6.1 / 10
6.1Gesamtwert
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 |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 29 out of 29 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 9 | Code-Review | Found 29/30 approved changesets -- score normalized to 9 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 1 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 |
| 10 | SAST | SAST tool is run on all commits |
| 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 5
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | httpx | — | pyproject.toml |
| PyPI | pydantic | >=2.12.0 | pyproject.toml |
| PyPI | pydantic-settings | — | pyproject.toml |
| PyPI | typing_extensions | — | pyproject.toml |
| PyPI | backports.strenum | — | pyproject.toml |
Alle Abhängigkeiten 3
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 1 direkte und 2 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | pydantic | — | direkt |
| PyPI | setuptools | — | indirekt |
| PyPI | setuptools-scm | — | indirekt |
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem
JSON-Rohbericht maschinenlesbar
{
"data": {
"repo": {
"topics": [
"api-client",
"neuroscience",
"pydantic",
"python3",
"scientific-computing",
"sdk"
],
"is_fork": false,
"size_kb": 3035,
"has_wiki": false,
"homepage": null,
"languages": {
"Jinja": 543,
"Python": 784562,
"AGS Script": 607
},
"pushed_at": "2026-07-22T06:59:01Z",
"created_at": "2025-02-19T13:04:28Z",
"owner_type": "Organization",
"updated_at": "2026-07-22T06:54:14Z",
"description": "Python SDK for managing scientific entities with type-safe models and asset management capabilities.",
"is_archived": false,
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"license_spdx": "Apache-2.0",
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},
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"company": null,
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"license": {
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},
"activity": {
"releases": [
{
"tag": "v0.19.7",
"kind": "patch",
"published_at": "2026-07-22T06:59:01Z"
},
{
"tag": "v0.19.6",
"kind": "patch",
"published_at": "2026-07-20T12:36:05Z"
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{
"tag": "v0.19.5",
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"published_at": "2026-07-20T11:10:26Z"
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{
"tag": "v0.19.4",
"kind": "patch",
"published_at": "2026-07-18T12:07:23Z"
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{
"tag": "v0.19.3",
"kind": "patch",
"published_at": "2026-07-15T08:44:07Z"
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{
"tag": "v0.19.2",
"kind": "patch",
"published_at": "2026-07-08T13:15:50Z"
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{
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"published_at": "2026-07-06T18:06:44Z"
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{
"tag": "v0.19.0",
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"published_at": "2026-07-02T09:02:14Z"
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{
"tag": "v0.18.0",
"kind": "minor",
"published_at": "2026-06-23T07:47:57Z"
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{
"tag": "v0.17.2",
"kind": "patch",
"published_at": "2026-06-12T09:38:10Z"
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{
"tag": "v0.17.1",
"kind": "patch",
"published_at": "2026-06-08T15:18:45Z"
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{
"tag": "v0.17.0",
"kind": "minor",
"published_at": "2026-05-28T08:51:40Z"
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{
"tag": "v0.16.1",
"kind": "patch",
"published_at": "2026-05-26T09:34:42Z"
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"tag": "v0.16.0",
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"kind": "patch",
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{
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"kind": "patch",
"published_at": "2026-05-13T09:43:45Z"
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{
"tag": "v0.15.7",
"kind": "patch",
"published_at": "2026-05-11T16:11:00Z"
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{
"tag": "v0.15.6",
"kind": "patch",
"published_at": "2026-05-11T07:56:36Z"
},
{
"tag": "v0.15.5",
"kind": "patch",
"published_at": "2026-05-08T07:23:27Z"
},
{
"tag": "v0.15.4",
"kind": "patch",
"published_at": "2026-05-06T07:57:01Z"
},
{
"tag": "v0.15.3",
"kind": "patch",
"published_at": "2026-05-05T13:53:27Z"
},
{
"tag": "v0.15.2",
"kind": "patch",
"published_at": "2026-05-04T08:07:36Z"
},
{
"tag": "v0.15.1",
"kind": "patch",
"published_at": "2026-05-04T07:52:29Z"
},
{
"tag": "v0.15.0",
"kind": "minor",
"published_at": "2026-04-30T10:40:10Z"
},
{
"tag": "v0.14.5",
"kind": "patch",
"published_at": "2026-04-29T09:49:03Z"
},
{
"tag": "v0.14.4",
"kind": "patch",
"published_at": "2026-04-24T11:49:24Z"
},
{
"tag": "v0.14.3",
"kind": "patch",
"published_at": "2026-04-21T15:44:30Z"
},
{
"tag": "v0.14.2",
"kind": "patch",
"published_at": "2026-04-20T08:11:48Z"
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{
"tag": "v0.14.1",
"kind": "patch",
"published_at": "2026-04-16T11:43:07Z"
},
{
"tag": "v0.14.0",
"kind": "minor",
"published_at": "2026-04-15T11:09:06Z"
},
{
"tag": "v0.13.3",
"kind": "patch",
"published_at": "2026-04-10T11:33:26Z"
},
{
"tag": "v0.13.2",
"kind": "patch",
"published_at": "2026-04-08T13:57:00Z"
},
{
"tag": "v0.13.1",
"kind": "patch",
"published_at": "2026-04-07T07:32:55Z"
},
{
"tag": "v0.13.0",
"kind": "minor",
"published_at": "2026-03-26T13:37:39Z"
},
{
"tag": "v0.12.4",
"kind": "patch",
"published_at": "2026-03-12T16:29:33Z"
},
{
"tag": "v0.12.3",
"kind": "patch",
"published_at": "2026-03-06T12:36:58Z"
},
{
"tag": "v0.12.2",
"kind": "patch",
"published_at": "2026-02-26T17:56:33Z"
},
{
"tag": "v0.12.1",
"kind": "patch",
"published_at": "2026-02-20T10:25:10Z"
},
{
"tag": "v0.12.0",
"kind": "minor",
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{
"tag": "v0.11.4",
"kind": "patch",
"published_at": "2026-02-05T09:17:38Z"
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"components": [
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"code": "abandonment_maintained",
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}
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]
}
],
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},
{
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"value": 40,
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"key": "popularity",
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"details": [
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"code": "stars",
"params": {
"count": 2
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}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "0 forks",
"points": 0,
"status": "missed",
"details": [
{
"code": "forks",
"params": {
"count": 0
}
}
],
"max_points": 25
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{
"key": "watchers",
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"code": "watchers",
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}
],
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]
},
{
"key": "community_health",
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"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
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"has_license": true,
"has_contributing": true,
"has_issue_template": false,
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},
"components": [
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},
{
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"code": "license_standard",
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{
"code": "license_spdx",
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{
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{
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]
},
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"notes": [
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"components": [
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"status": "partial",
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"count": 2503,
"ecosystems": "pypi"
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}
],
"max_points": 80
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{
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"status": "excluded",
"details": [
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"code": "not_reported_by_this_ecosystem",
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],
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]
}
],
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},
{
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"weight": 0.24,
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"note": null,
"notes": [],
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}
],
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{
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"details": [
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"code": "top_contributor_share",
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}
],
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{
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}
],
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{
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"points": 6,
"status": "partial",
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"max_points": 10
}
]
},
{
"key": "responsiveness",
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"notes": [],
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"components": [
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"points": 37.7,
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}
],
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{
"key": "pr_acceptance",
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"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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}
],
"max_points": 38.25
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{
"key": "openssf_scorecard_code_review",
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"status": "partial",
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]
},
{
"key": "stewardship",
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"note": null,
"notes": [],
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"inputs": {
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"owner_type": "Organization",
"is_verified": null,
"owner_login": "openbraininstitute",
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"components": [
{
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"details": [
{
"code": "owner_organization",
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}
],
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{
"key": "verified_domain",
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"points": 0,
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},
{
"key": "owner_reach",
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],
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{
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"status": "partial",
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},
{
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]
},
{
"key": "package_maintenance",
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"note": null,
"notes": [],
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"components": [
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"code": "packages_published",
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}
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{
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}
],
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{
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"details": [
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"code": "published_versions",
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}
],
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{
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"code": "package_not_deprecated",
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],
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]
}
],
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},
{
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"weight": 0.2,
"metrics": [
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"key": "engineering_practices",
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"note": null,
"notes": [],
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"inputs": {
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"details": [
{
"code": "ci_workflows",
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],
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{
"key": "tests_present",
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"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
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"code": "file_list",
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{
"key": "pre_commit_hooks",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "editorconfig",
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"points": 0,
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{
"key": "openssf_scorecard_ci_tests",
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"status": "met",
"details": [],
"max_points": 20
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]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 50,
"inputs": {
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"python3",
"scientific-computing",
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"homepage": null,
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"components": [
{
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"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "documentation_homepage_site",
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"points": 0,
"status": "missed",
"details": [],
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{
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"points": 10,
"status": "met",
"details": [],
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{
"key": "topics",
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"details": [
{
"code": "topics_count",
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}
],
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},
{
"key": "wiki",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
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},
{
"key": "security",
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"name": "Security",
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"notes": [
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"code": "excluded_no_data",
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{
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"components": [
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"details": [],
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{
"key": "branch_protection",
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{
"key": "ci_tests",
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{
"key": "cii_best_practices",
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"points": 0,
"status": "missed",
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},
{
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},
{
"key": "contributors",
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"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
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"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
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"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"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,
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},
{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"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",
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"detail": "SAST tool is run on all commits",
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"status": "met",
"details": [],
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},
{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "signed_releases",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "vulnerabilities",
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}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
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"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"exposures": [],
"policy_countries": [
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"review_only_matches": 0,
"assessed_self_published_locations": 5
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"components": [
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"key": "policy_exposure_multiplier",
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"status": "met",
"details": [
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"code": "jurisdiction_no_match",
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}
],
"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",
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"name": "AI Readiness",
"value": 39,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
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"note": null,
"notes": [],
"value": 40,
"inputs": {
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"legible_history_share": 0.91,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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"components": [
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"key": "agent_instructions",
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"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
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"code": "no_agent_instructions",
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}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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"status": "met",
"details": [
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"code": "legible_history",
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"sampled": 100
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}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
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"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 33,
"inputs": {
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"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
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"toolchain_manifests": [],
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},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "automated_tests",
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"detail": null,
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},
{
"key": "lint_format_config",
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"status": "met",
"details": [
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}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.26.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.