Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-27 13:12 UTC
rmovva / HypotheSAEs
HypotheSAEs: hypothesizing interpretable relationships in text datasets using sparse autoencoders. https://arxiv.org/abs/2502.04382
rmovva/HypotheSAEs erreicht einen Gesundheitsindex von 53 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (69/100) ab, am schwächsten bei AI Readiness (24/100). Zuletzt vor 3 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
53
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.
53
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
Raj MovvaPersönliches Konto
20 Follower33 öffentliche Reposseit Feb. 2016UC Berkeley
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 |
|---|---|---|---|---|---|
| PyPI | hypothesaes | 2.0.1 | 240 | 13 | vor 24 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
69
Entwicklungsaktivität
62Mittel
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 3 Tagen |
| 7.6/36 | Commit-Rhythmus — 11/52 Wochen mit Commits |
| 15.3/18 | Commit-Volumen — 50 Commits im letzten Jahr |
| 3/10 | OpenSSF Scorecard: Maintained — 3 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 3 |
Verwendete Eingangsdaten
| commits_last_year | 50 |
| human_commit_share | 1 |
| days_since_last_push | 3 |
| active_weeks_last_year | 11 |
Release-Disziplin
80Gut
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 7 Versions-Tags (keine GitHub-Releases) |
| 36/36 | Release-Aktualität — letztes Release vor 24 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 72,6 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 7 |
| latest_release_tag | v2.0.1 |
| releases_from_tags | ja |
| days_since_latest_release | 24 |
| mean_days_between_releases | 72,6 |
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?
45
Popularität & Verbreitung
44Gefährdet
Wie die Bewertung erfolgt
| 31.7/60 | Stars — 91 Stars |
| 11.9/25 | Forks — 28 Forks |
| 0/15 | Watcher — 2 Watcher |
Verwendete Eingangsdaten
| forks | 28 |
| stars | 91 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 0/18 | 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 | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Ökosystem-Verbreitung (Downloads)
40Gefährdet
Wie die Bewertung erfolgt
| 31.8/80 | Downloads pro Monat — 240 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | hypothesaes |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 240 |
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?
57
Maintainer-Resilienz (Bus-Faktor)
16Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 99 % der Commits |
| 4.1/13.5 | Breite der Beitragenden — 3 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 3 |
| top_contributor_share | 0,987 |
Wie die Bewertung erfolgt
| 37.4/46.8 | Issue-Lösungsquote — 80 % der Issues geschlossen |
| 38.2/38.3 | PR-Annahme — 5/5 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 2/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 5 |
| open_issues | 1 |
| closed_issues | 4 |
| issue_closed_ratio | 0,8 |
| closed_unmerged_prs | 0 |
Eigentümerschaft & Trägerschaft
53Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 9.5/25 | Reichweite des Inhabers — 20 Follower von rmovva |
| 23.2/25 | Kontohistorie — 33 öffentliche Repos, Kontoalter ca. 10 Jahre |
Verwendete Eingangsdaten
| followers | 20 |
| owner_type | User |
| is_verified | — |
| owner_login | rmovva |
| public_repos | 33 |
| account_age_days | 3.814 |
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 24 Tagen |
| 20/20 | Versionshistorie — 13 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | hypothesaes |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 24 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
44
Engineering-Praktiken
24Kritisch
Wie die Bewertung erfolgt
| 0/24 | CI-Workflows |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 3 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | nein |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://hypothesaes.org |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | ai-for-science, computational-social-science, interpretability, nlp, sparse-autoencoders, topic-modeling |
| has_wiki | ja |
| homepage | https://hypothesaes.org |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
43
Sicherheitslage
29Kritisch
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 — 0 out of 3 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 2/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 0/10 | Dangerous-Workflow — keine Daten |
| 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 |
| 2.2/7.5 | Maintained — 3 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 3 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — keine Daten |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — keine Daten |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 13 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 5 |
| scorecard_aggregate | 2,9 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. 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 | 145 |
| 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:hypothesaes@2.0.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 145 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.
24
AI-Agentenkontext & Leitlinien
2Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 2.1/40 | Lesbare Commit-Historie — 4 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,04 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 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 — keine Daten |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Jupyter Notebook ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/19 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Jupyter Notebook |
| largest_source_bytes | 21.515 |
| source_files_sampled | 19 |
| 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 — notebooks |
Verwendete Eingangsdaten
| example_dirs | notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
91GitHub-Sterne
3Mitwirkende
50Commits, letzte 12 Monate
3Tage seit letztem Push
7Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 28 ⇿
0Sterne
28Forks
7Releases
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 2Minor 4Patch 1
Jeder Punkt umfasst 2 Tage.
OpenSSF Scorecard 2.9 / 10
2.9Gesamtwert
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 |
| 0 | CI-Tests | 0 out of 3 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 2/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| k. A. | Dangerous-Workflow | no workflows found |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 3 | Maintained | 3 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 3 |
| k. A. | Packaging | packaging workflow not detected |
| k. A. | Pinned-Dependencies | no dependencies found |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| k. A. | Token-Permissions | No tokens found |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Alle Abhängigkeiten 17
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 17 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | accelerate | — | indirekt |
| PyPI | jmespath | — | indirekt |
| PyPI | jupyter | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | openai | — | indirekt |
| PyPI | pandas | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | scikit-learn | — | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | sentence-transformers | — | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | statsmodels | — | indirekt |
| PyPI | tiktoken | — | indirekt |
| PyPI | torch | — | indirekt |
| PyPI | tqdm | — | indirekt |
| PyPI | transformers | — | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:hypothesaes@2.0.1 zieht 145 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"name": "Branch-Protection",
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"reason": "branch protection not enabled on development/release branches",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#ci-tests"
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{
"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"
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{
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
},
{
"name": "Contributors",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
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{
"name": "Dangerous-Workflow",
"score": null,
"reason": "no workflows found",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
},
{
"name": "Dependency-Update-Tool",
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"reason": "no update tool detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
},
{
"name": "Fuzzing",
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"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"
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{
"name": "Maintained",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
},
{
"name": "Packaging",
"score": null,
"reason": "packaging workflow not detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
},
{
"name": "Pinned-Dependencies",
"score": null,
"reason": "no dependencies found",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
},
{
"name": "SAST",
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"reason": "SAST tool is not run on all commits -- score normalized to 0",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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{
"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",
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"reason": "no releases found",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#signed-releases"
},
{
"name": "Token-Permissions",
"score": null,
"reason": "No tokens found",
"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": "706d8979c71befe8e3151f51a8d4dbf87d4d7e41",
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"contribution_flow": {
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"ci_last_run_at": "2026-07-24T00:08:28Z",
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{
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"last_comment_author": null
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{
"number": 10,
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"last_comment_author": null
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],
"last_merged_pr_at": "2026-07-24T00:08:27Z",
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"oldest_open_issues": [
{
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"last_comment_author": "Treasure-Mayowa"
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]
}
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"config": {
"disabled_metrics": [],
"disabled_categories": [],
"disabled_components": {}
},
"source": {
"url": "https://github.com/rmovva/HypotheSAEs",
"host": "github.com",
"name": "HypotheSAEs",
"owner": "rmovva"
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"metrics": {
"overall": {
"key": "overall",
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"note": null,
"notes": [],
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"inputs": {
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"vitality": 69,
"community": 45,
"governance": 57,
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"components": []
},
"categories": [
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"name": "Vitality",
"value": 69,
"weight": 0.22,
"metrics": [
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"key": "development_activity",
"band": "moderate",
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"note": null,
"notes": [],
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"human_commit_share": 1,
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"name": "Push recency",
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{
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{
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"points": 3,
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{
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"notes": [
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"components": [
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{
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"components": [
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],
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"metrics": [
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"components": [
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"points": 31.7,
"status": "partial",
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],
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{
"key": "forks",
"name": "Forks",
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"points": 11.9,
"status": "partial",
"details": [
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"code": "forks",
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}
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"max_points": 25
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{
"key": "watchers",
"name": "Watchers",
"detail": "2 watchers",
"points": 0,
"status": "missed",
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"code": "watchers",
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}
],
"max_points": 15
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]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 50,
"inputs": {
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"has_license": true,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
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"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
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{
"key": "license",
"name": "License",
"detail": "recognized license (Apache-2.0)",
"points": 22.5,
"status": "met",
"details": [
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"code": "license_standard",
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{
"code": "license_spdx",
"params": {
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{
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"detail": null,
"points": 0,
"status": "missed",
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{
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"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
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{
"key": "issue_template",
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"points": 0,
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{
"key": "pr_template",
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{
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"notes": [
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"dependents": null,
"ecosystems": "pypi",
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"components": [
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{
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"points": 0,
"status": "excluded",
"details": [
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{
"key": "governance",
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"weight": 0.24,
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
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"points": 9,
"status": "partial",
"details": [
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"code": "bus_factor",
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{
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"detail": "top contributor authored 99% of commits",
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"status": "partial",
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{
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"points": 4.1,
"status": "partial",
"details": [
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{
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"key": "responsiveness",
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"notes": [],
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{
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"inputs": {
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"components": [
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"notes": [],
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{
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.