Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 07:04 UTC
dralgroup / mlatom
AI-enhanced computational chemistry
dralgroup/mlatom erreicht einen Gesundheitsindex von 56 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (75/100) ab, am schwächsten bei AI Readiness (40/100). Zuletzt vor 11 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
56
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.
56
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
Pavlo O. Dral & groupPersönliches Konto
70 Follower24 öffentliche Reposseit Feb. 2022Xiamen University
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 | mlatomverweist auf ein anderes Repo — nicht bewertet | 3.23.4 | - | 60 | vor 11 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
75
Entwicklungsaktivität
58Mittel
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 11 Tagen |
| 6.2/36 | Commit-Rhythmus — 9/52 Wochen mit Commits |
| 13.3/18 | Commit-Volumen — 29 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 11 |
| active_weeks_last_year | 9 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 38 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 11 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 0,1 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 38 |
| latest_release_tag | v3.23.4 |
| releases_from_tags | nein |
| days_since_latest_release | 11 |
| mean_days_between_releases | 0,1 |
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?
65
Popularität & Verbreitung
48Gefährdet
Wie die Bewertung erfolgt
| 35.4/60 | Stars — 153 Stars |
| 10.8/25 | Forks — 21 Forks |
| 1.7/15 | Watcher — 3 Watcher |
Verwendete Eingangsdaten
| forks | 21 |
| stars | 153 |
| watchers | 3 |
| 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 (Apache-2.0) |
| 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 |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
46
Maintainer-Resilienz (Bus-Faktor)
23Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 5.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 77 % der Commits |
| 5.4/13.5 | Breite der Beitragenden — 4 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0,766 |
Wie die Bewertung erfolgt
| 29.2/46.8 | Issue-Lösungsquote — 62 % der Issues geschlossen |
| 36.3/38.3 | PR-Annahme — 38/40 entschiedene PRs gemergt |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 6/24 approved changesets -- score normalized to 2 |
Verwendete Eingangsdaten
| merged_prs | 38 |
| open_issues | 3 |
| closed_issues | 5 |
| issue_closed_ratio | 0,625 |
| closed_unmerged_prs | 2 |
Eigentümerschaft & Trägerschaft
53Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 13.3/25 | Reichweite des Inhabers — 70 Follower von dralgroup |
| 19/25 | Kontohistorie — 24 öffentliche Repos, Kontoalter ca. 4 Jahre |
Verwendete Eingangsdaten
| followers | 70 |
| owner_type | User |
| is_verified | — |
| owner_login | dralgroup |
| public_repos | 24 |
| account_age_days | 1.620 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
44
Engineering-Praktiken
24Kritisch
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 1 Workflow(s) |
| 0/24 | 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 6 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | nein |
| 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 — http://mlatom.com |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 11 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | artificial-intelligence, computational-chemistry, machine-learning, machine-learning-potential, quantum-chemistry, quantum-chemistry-programs, quantum-mechanics, deep-learning, kernel-method, kernel-ridge-regression, neural-network |
| has_wiki | ja |
| homepage | http://mlatom.com |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
49
Sicherheitslage
45Gefährdet
Wie die Bewertung erfolgt
| 3.8/7.5 | Binary-Artifacts — binaries present in source code |
| 0/7.5 | Branch-Protection — keine Daten |
| 0/2.5 | CI-Tests — 0 out of 6 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 |
| 1.5/7.5 | Code-Review — Found 6/24 approved changesets -- score normalized to 2 |
| 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 — 14 commit(s) and 0 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 — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file 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 | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4,5 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
64Mittel
Wie die Bewertung erfolgt
| 6.6/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 2 betroffen: torch 2.1.2 (critical 9.8), setuptools 80.10.2 (moderate 6.1) |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 32.1/40 | Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 829 Tagen veröffentlicht |
Verwendete Eingangsdaten
| source | osv |
| advisories | 30 |
| affected_packages | 2 |
| assessed_packages | 55 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, moderate 1 |
| direct_affected_packages | 2 |
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:mlatom@3.23.4 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 55 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.
40
AI-Agentenkontext & Leitlinien
65Mittel
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 20.3/40 | Lesbare Commit-Historie — 38 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,38 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 2.804 |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — mlatom/MLatomF_src/Makefile |
| 0/22 | 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 — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | nein |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | mlatom/MLatomF_src/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
50Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 50.2/55 | Handhabbare Dateigrößen — 9/103 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 195.102 |
| source_files_sampled | 103 |
| oversized_source_files | 9 |
Eckdaten
153GitHub-Sterne
4Mitwirkende
29Commits, letzte 12 Monate
11Tage seit letztem Push
38Releases
1Bus-Faktor
3offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'mlatom' points at a different repository (http://mlatom.com); excluded from ecosystem scoring
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 21 ⇿
0Sterne
21Forks
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.
Jeder Punkt umfasst 3 Tage.
OpenSSF Scorecard 4.5 / 10
4.5Gesamtwert
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).
| 5 | Binary-Artifacts | binaries present in source code |
| k. A. | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 0 | CI-Tests | 0 out of 6 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 |
| 2 | Code-Review | Found 6/24 approved changesets -- score normalized to 2 |
| 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 | 14 commit(s) and 0 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 | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file 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 14
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | numpy | <2 | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | h5py | — | pyproject.toml |
| PyPI | pyh5md | — | pyproject.toml |
| PyPI | torch | ==2.1.2 | pyproject.toml |
| PyPI | torchani | ==2.2.3 | pyproject.toml |
| PyPI | setuptools | <81 | pyproject.toml |
| PyPI | matplotlib | — | pyproject.toml |
| PyPI | statsmodels | — | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
| PyPI | joblib | — | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | psutil | — | pyproject.toml |
| PyPI | geometric | — | pyproject.toml |
Alle Abhängigkeiten 4
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 4 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | numpy | — | direkt |
| PyPI | setuptools | — | direkt |
| PyPI | torch | 2.1.2 | direkt |
| PyPI | torchani | 2.2.3 | direkt |
Abhängigkeits-Advisories 2
Die Installation von pypi:mlatom@3.23.4 zieht 55 Pakete nach sich, direkt und transitiv: 2 tragen bekannte Advisories, davon 2 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| torch | 2.1.2 | direkt | kritisch | 28 | 2.13.0 |
| setuptools | 80.10.2 | direkt | mittel | 2 | 83.0.0 |
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": [
"artificial-intelligence",
"computational-chemistry",
"machine-learning",
"machine-learning-potential",
"quantum-chemistry",
"quantum-chemistry-programs",
"quantum-mechanics",
"deep-learning",
"kernel-method",
"kernel-ridge-regression",
"neural-network"
],
"is_fork": false,
"size_kb": 207535,
"has_wiki": true,
"homepage": "http://mlatom.com",
"languages": {
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"Julia": 22288,
"Shell": 982,
"Python": 2163931,
"Fortran": 478446,
"Gnuplot": 174,
"Makefile": 2507
},
"pushed_at": "2026-07-15T00:35:28Z",
"created_at": "2023-08-16T13:47:48Z",
"owner_type": "User",
"updated_at": "2026-07-18T07:37:12Z",
"description": "AI-enhanced computational chemistry",
"is_archived": false,
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]
},
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"location": "Xiamen, China",
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},
"license": {
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},
"activity": {
"releases": [
{
"tag": "v3.23.4",
"kind": "patch",
"published_at": "2026-07-15T00:35:42Z"
},
{
"tag": "v3.23.3",
"kind": "patch",
"published_at": "2026-07-14T08:12:46Z"
},
{
"tag": "v3.23.2",
"kind": "patch",
"published_at": "2026-07-14T08:12:43Z"
},
{
"tag": "v3.23.1",
"kind": "patch",
"published_at": "2026-07-14T08:12:41Z"
},
{
"tag": "v3.23.0",
"kind": "minor",
"published_at": "2026-07-14T08:12:38Z"
},
{
"tag": "v3.22.0",
"kind": "minor",
"published_at": "2026-07-14T08:12:35Z"
},
{
"tag": "v3.21.0",
"kind": "minor",
"published_at": "2026-07-14T08:12:33Z"
},
{
"tag": "v3.20.0",
"kind": "minor",
"published_at": "2026-07-14T08:12:30Z"
},
{
"tag": "v3.19.1",
"kind": "patch",
"published_at": "2026-07-14T08:12:27Z"
},
{
"tag": "v3.19.0",
"kind": "minor",
"published_at": "2026-07-14T08:12:25Z"
},
{
"tag": "v3.18.3",
"kind": "patch",
"published_at": "2026-07-14T08:12:22Z"
},
{
"tag": "v3.18.2",
"kind": "patch",
"published_at": "2026-07-14T08:12:19Z"
},
{
"tag": "v3.18.1",
"kind": "patch",
"published_at": "2026-07-14T08:12:17Z"
},
{
"tag": "v3.18.0",
"kind": "minor",
"published_at": "2026-07-14T08:12:14Z"
},
{
"tag": "v3.17.3",
"kind": "patch",
"published_at": "2026-07-14T08:12:11Z"
},
{
"tag": "v3.17.1",
"kind": "patch",
"published_at": "2026-07-14T08:12:09Z"
},
{
"tag": "v3.16.2",
"kind": "patch",
"published_at": "2026-07-14T08:12:06Z"
},
{
"tag": "v3.16.1",
"kind": "patch",
"published_at": "2026-07-14T08:12:03Z"
},
{
"tag": "v3.16.0",
"kind": "minor",
"published_at": "2026-07-14T08:12:01Z"
},
{
"tag": "v3.15.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:58Z"
},
{
"tag": "v3.14.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:56Z"
},
{
"tag": "v3.13.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:53Z"
},
{
"tag": "v3.12.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:51Z"
},
{
"tag": "v3.11.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:48Z"
},
{
"tag": "v3.10.1",
"kind": "patch",
"published_at": "2026-07-14T08:11:46Z"
},
{
"tag": "v3.10.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:43Z"
},
{
"tag": "v3.9.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:41Z"
},
{
"tag": "v3.8.0",
"kind": "minor",
"published_at": "2026-07-14T08:11:38Z"
},
{
"tag": "v3.7.1",
"kind": "patch",
"published_at": "2026-07-14T08:11:36Z"
},
{
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{
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{
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{
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{
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{
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],
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{
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{
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{
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"status": "missed",
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"status": "partial",
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"code": "oversized_source_files",
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],
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}
],
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},
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"pypi package 'mlatom' points at a different repository (http://mlatom.com); excluded from ecosystem scoring"
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"generated_at": "2026-07-26T07:04:13.993018Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/dralgroup/mlatom.svg",
"full_name": "dralgroup/mlatom",
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"license_spdx": "Apache-2.0"
}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.