Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-24 01:40 UTC
jjang-ai / vmlx
vMLX - JANGTQ Uber Compressed MLX Models - L2 Disk Cache (survives restart) + L1 Paged (super fast ttft) + Hybrid SSM Scheduler + Cont Batching + etc!
jjang-ai/vmlx erreicht einen Gesundheitsindex von 63 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (88/100) ab, am schwächsten bei Security (40/100). Zuletzt heute 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
Eric Jinho JangPersönliches Konto
217 Follower8 öffentliche Reposseit Juli 2023Osaurus.ai
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 | vmlx | 1.6.17 | 4.850 | 129 | vor 0 Tagen | llmmlxapple-siliconvllminferencetransformers |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
88
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 15.9/36 | Commit-Rhythmus — 23/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 3.269 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 19 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 3.269 |
| human_commit_share | 1 |
| days_since_last_push | 0 |
| active_weeks_last_year | 23 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 71 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 0 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 1,2 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 71 |
| latest_release_tag | v1.6.17 |
| releases_from_tags | nein |
| days_since_latest_release | 0 |
| mean_days_between_releases | 1,2 |
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?
59
Popularität & Verbreitung
66Mittel
Wie die Bewertung erfolgt
| 46.9/60 | Stars — 777 Stars |
| 16/25 | Forks — 83 Forks |
| 3.3/15 | Watcher — 5 Watcher |
Verwendete Eingangsdaten
| forks | 83 |
| stars | 777 |
| watchers | 5 |
| 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 |
Wie die Bewertung erfolgt
| 49.1/80 | Downloads pro Monat — 4.850 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | vmlx |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 4.850 |
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?
49
Maintainer-Resilienz (Bus-Faktor)
19Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits |
| 6.8/13.5 | Breite der Beitragenden — 5 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 5 |
| top_contributor_share | 0,998 |
Reaktionsfähigkeit bei Issues & PRs
44Gefährdet
Wie die Bewertung erfolgt
| 35.9/46.8 | Issue-Lösungsquote — 77 % der Issues geschlossen |
| 7.7/38.3 | PR-Annahme — 11/55 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 11 |
| open_issues | 38 |
| closed_issues | 126 |
| issue_closed_ratio | 0,768 |
| closed_unmerged_prs | 44 |
Eigentümerschaft & Trägerschaft
50Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 16.8/25 | Reichweite des Inhabers — 217 Follower von jjang-ai |
| 13.1/25 | Kontohistorie — 8 öffentliche Repos, Kontoalter ca. 3 Jahre |
Verwendete Eingangsdaten
| followers | 217 |
| owner_type | User |
| is_verified | — |
| owner_login | jjang-ai |
| public_repos | 8 |
| account_age_days | 1.116 |
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 0 Tagen |
| 20/20 | Versionshistorie — 129 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | vmlx |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 0 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
72
Engineering-Praktiken
60Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 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://vmlx.net |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 19 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | llm, lmstudio, macbook, mlx, mlxllm, mlxstudio, anthropic-api, kvcache-compression, kvcache-optimization, kvcache-reuse, mcp-server, openai-api, openclaw, openclaw-agent, persistent-memory, prefix-cache, vmlx, omlx, omlx-alternative |
| has_wiki | nein |
| homepage | https://vmlx.net |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
40
Sicherheitslage
40Gefährdet
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 19 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 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 |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 0/7.5 | Vulnerabilities — 179 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, packaging, 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.
57
AI-Agentenkontext & Leitlinien
85Exzellent
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 99 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,99 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 133.885 |
AI-Verify-Loop (Build / Test / Typprüfung)
43Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — panel/tsconfig.json |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 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 | package-lock.json, uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | panel/tsconfig.json |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (panel/tsconfig.json) |
| 51.2/55 | Handhabbare Dateigrößen — 63/923 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 957.065 |
| source_files_sampled | 923 |
| oversized_source_files | 63 |
Maschinenlesbare AI-Schnittstellen
20Kritisch
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP-Server |
| 0/40 | Lauffähige Beispiele |
Verwendete Eingangsdaten
| example_dirs | — |
| has_mcp_signal | ja |
| api_schema_files | — |
Eckdaten
777GitHub-Sterne
5Mitwirkende
3.269Commits, letzte 12 Monate
0Tage seit letztem Push
71Releases
1Bus-Faktor
38offene Issues
npm, PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch npm package 'vmlx' from its registry
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- deps.dev does not index pypi:vmlx@1.6.17; advisories assessed against the repository dependency graph instead
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 83 ⇿
0Sterne
83Forks
67Releases
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 2Patch 61
OpenSSF Scorecard 4.0 / 10
4.0Gesamtwert
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 19 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not 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 |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 0 | Vulnerabilities | 179 existing vulnerabilities detected |
Direkte Abhängigkeiten 53
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| npm | @electron-toolkit/preload | ^3.0.2 | panel/package.json |
| npm | @electron-toolkit/utils | ^4.0.0 | panel/package.json |
| npm | @radix-ui/react-collapsible | ^1.1.12 | panel/package.json |
| npm | @radix-ui/react-dialog | ^1.1.15 | panel/package.json |
| npm | @radix-ui/react-dropdown-menu | ^2.1.16 | panel/package.json |
| npm | @radix-ui/react-popover | ^1.1.15 | panel/package.json |
| npm | @radix-ui/react-scroll-area | ^1.2.10 | panel/package.json |
| npm | @radix-ui/react-select | ^2.2.6 | panel/package.json |
| npm | @radix-ui/react-separator | ^1.1.8 | panel/package.json |
| npm | @radix-ui/react-slider | ^1.3.6 | panel/package.json |
| npm | @radix-ui/react-switch | ^1.2.6 | panel/package.json |
| npm | @radix-ui/react-tooltip | ^1.2.8 | panel/package.json |
| npm | better-sqlite3 | ^12.6.2 | panel/package.json |
| npm | class-variance-authority | ^0.7.1 | panel/package.json |
| npm | clsx | ^2.1.1 | panel/package.json |
| npm | dompurify | ^3.3.1 | panel/package.json |
| npm | highlight.js | ^11.11.1 | panel/package.json |
| npm | katex | ^0.18.1 | panel/package.json |
| npm | lucide-react | ^0.577.0 | panel/package.json |
| npm | marked | ^12.0.2 | panel/package.json |
| npm | react | ^18.2.0 | panel/package.json |
| npm | react-dom | ^18.2.0 | panel/package.json |
| npm | tailwind-merge | ^3.5.0 | panel/package.json |
| npm | tailwindcss-animate | ^1.0.7 | panel/package.json |
| npm | uuid | ^13.0.0 | panel/package.json |
| PyPI | mlx | >=0.29.0 | pyproject.toml |
| PyPI | mlx-lm | >=0.31.3 | pyproject.toml |
| PyPI | mlx-vlm | >=0.5.0 | pyproject.toml |
| PyPI | mlx-vlm | >=0.4.3 | pyproject.toml |
| PyPI | transformers | >=4.40.0 | pyproject.toml |
| PyPI | tokenizers | >=0.19.0 | pyproject.toml |
| PyPI | tiktoken | >=0.5.0 | pyproject.toml |
| PyPI | huggingface-hub | >=0.23.0 | pyproject.toml |
| PyPI | numpy | >=1.24.0 | pyproject.toml |
| PyPI | pillow | >=10.0.0 | pyproject.toml |
| PyPI | tqdm | >=4.66.0 | pyproject.toml |
| PyPI | pyyaml | >=6.0 | pyproject.toml |
| PyPI | requests | >=2.28.0 | pyproject.toml |
| PyPI | tabulate | >=0.9.0 | pyproject.toml |
| PyPI | opencv-python-headless | >=4.8.0 | pyproject.toml |
| PyPI | psutil | >=5.9.0 | pyproject.toml |
| PyPI | fastapi | >=0.100.0 | pyproject.toml |
| PyPI | uvicorn | >=0.23.0 | pyproject.toml |
| PyPI | mcp | >=1.0.0 | pyproject.toml |
| PyPI | jsonschema | >=4.0.0 | pyproject.toml |
| PyPI | mlx-embeddings | >=0.0.5 | pyproject.toml |
| PyPI | jang | >=2.5.33 | pyproject.toml |
| PyPI | torch | >=2.3.0 | pyproject.toml |
| PyPI | torchvision | >=0.18.0 | pyproject.toml |
| PyPI | soundfile | >=0.12.0 | pyproject.toml |
| PyPI | timm | >=1.0.20 | pyproject.toml |
| PyPI | einops | >=0.8.0 | pyproject.toml |
| PyPI | librosa | >=0.10.0 | pyproject.toml |
Alle Abhängigkeiten nicht erhoben
Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
JSON-Rohbericht maschinenlesbar
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"tag": "v1.6.13",
"kind": "patch",
"published_at": "2026-07-20T10:02:21Z"
},
{
"tag": "v1.6.12",
"kind": "patch",
"published_at": "2026-07-20T06:30:27Z"
},
{
"tag": "v1.6.11",
"kind": "patch",
"published_at": "2026-07-19T01:10:39Z"
},
{
"tag": "v1.6.10",
"kind": "patch",
"published_at": "2026-07-15T07:25:35Z"
},
{
"tag": "v1.6.9",
"kind": "patch",
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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.