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Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-20 22:25 UTC

scverse / rapids-singlecell

rapids-singlecell: GPU-accelerated framework for scRNA analysis

Python · CudaMIT★ 386 Sterne⑂ 47 Forksseit Mai 2021Auf GitHub ansehen ↗

scverse/rapids-singlecell erreicht einen Gesundheitsindex von 76 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei AI Readiness (44/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

76
gesamt / 100
Gut

Software-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.

76
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)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

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

scverseOrganisation
1.516 Follower86 öffentliche Reposseit Nov. 2021

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIrapids-singlecellverweist auf ein anderes Repo — nicht bewertet0.16.0-65vor 4 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

99Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
34.6/36Commit-Rhythmus — 50/52 Wochen mit Commits
18/18Commit-Volumen — 250 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year250
human_commit_share
days_since_last_push0
active_weeks_last_year50

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 72 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 4 Tagen
27/27Release-Rhythmus — ein Release etwa alle 12,9 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count72
latest_release_tagv0.16.0
releases_from_tagsnein
days_since_latest_release4
mean_days_between_releases12,9
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?

72Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
41.9/60Stars — 386 Stars
13.9/25Forks — 47 Forks
3.9/15Watcher — 6 Watcher
Verwendete Eingangsdaten
forks47
stars386
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

63Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
4.8/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 78 % der Commits
13.5/13.5Breite der Beitragenden — 20 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled20
top_contributor_share0,785
Wie die Bewertung erfolgt
43.1/46.8Issue-Lösungsquote — 92 % der Issues geschlossen
36.8/38.3PR-Annahme — 547/569 entschiedene PRs gemergt
1.5/15OpenSSF Scorecard: Code-Review — Found 3/25 approved changesets -- score normalized to 1
Verwendete Eingangsdaten
merged_prs547
open_issues12
closed_issues140
issue_closed_ratio0,921
closed_unmerged_prs22
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
22.9/25Reichweite des Inhabers — 1.516 Follower von scverse
22.3/25Kontohistorie — 86 öffentliche Repos, Kontoalter ca. 4 Jahre
Verwendete Eingangsdaten
followers1.516
owner_typeOrganization
is_verified
owner_loginscverse
public_repos86
account_age_days1.693

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 3 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://rapids-singlecell.readthedocs.io/
10/10Repository-Beschreibung
10/10Topics — 5 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsgpu, single-cell, anndata, bioinformatics, scverse
has_wikinein
homepagehttps://rapids-singlecell.readthedocs.io/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

51Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — keine Daten
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 3/25 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 14 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,1
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, 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.

44Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfileja
typed_languagenein
bootstrap_filesdocs/Makefile
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
54.4/55Handhabbare Dateigrößen — 2/183 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes78.881
source_files_sampled183
oversized_source_files2
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalnein
api_schema_files

Eckdaten

386GitHub-Sterne
20Mitwirkende
250Commits, letzte 12 Monate
0Tage seit letztem Push
72Releases
1Bus-Faktor
12offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • pypi package 'rapids-singlecell' points at a different repository (https://github.com/scverse/rapids_singlecell); excluded from ecosystem scoring
  • deps.dev does not index pypi:rapids-singlecell@0.16.0; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

Weitere Details

OpenSSF Scorecard 5.1 / 10
5.1Gesamtwert

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).Scorecard v5.5.0 · 2026-07-20 22:24 UTC

10Binary-Artifactsno binaries found in the repo
k. A.Branch-Protectioninternal 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/25 approved changesets -- score normalized to 1
10Contributorsproject has 14 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 13
RegistryPaketVersionsvorgabeManifest
PyPIanndata>=0.10.0pyproject.toml
PyPIscanpy>=1.10.0pyproject.toml
PyPInumpy>=1.17.0pyproject.toml
PyPIscipy>=1.4pyproject.toml
PyPIpandaspyproject.toml
PyPInatsortpyproject.toml
PyPIscikit-misc>=0.1.3pyproject.toml
PyPIscikit-learnpyproject.toml
PyPImatplotlib>=3.4pyproject.toml
PyPItqdmpyproject.toml
PyPIstatsmodels>=0.12.0pyproject.toml
PyPIscikit-imagepyproject.toml
PyPIdocreppyproject.toml
Alle Abhängigkeiten 22

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 7 direkte und 15 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIanndatadirekt
PyPImatplotlibdirekt
PyPInumpydirekt
PyPIscanpydirekt
PyPIscikit-miscdirekt
PyPIscipydirekt
PyPIstatsmodelsdirekt
PyPIcudf-cu12indirekt
PyPIcudf-cu13indirekt
PyPIcugraph-cu12indirekt
PyPIcugraph-cu13indirekt
PyPIcuml-cu12indirekt
PyPIcuml-cu13indirekt
PyPIcuvs-cu12indirekt
PyPIcuvs-cu13indirekt
PyPIlibrmm-cu12indirekt
PyPIlibrmm-cu13indirekt
PyPInanobindindirekt
PyPInbsphinxindirekt
PyPIscanpydocindirekt
PyPIscikit-build-coreindirekt
PyPIsphinxindirekt
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
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              {
                "key": "owner_reach",
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                "detail": "1,516 followers of scverse",
                "points": 22.9,
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                      "count": 1516,
                      "login": "scverse"
                    }
                  }
                ],
                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "86 public repos, account ~4 yr old",
                "points": 22.3,
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                "details": [
                  {
                    "code": "public_repos",
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                      "count": 86
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                  {
                    "code": "account_age_years",
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                "max_points": 25
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        ],
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        "key": "engineering",
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        "metrics": [
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            "inputs": {
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                "max_points": 6.4
              },
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                "key": "openssf_scorecard_ci_tests",
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          },
          {
            "key": "documentation",
            "band": "excellent",
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            "note": null,
            "notes": [],
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            "components": [
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                "key": "documentation_directory",
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                "points": 25,
                "status": "met",
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              {
                "key": "documentation_homepage_site",
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              {
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                "points": 10,
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                "details": [],
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              {
                "key": "topics",
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                "detail": "5 topics",
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        "key": "security",
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            "components": [
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                "points": 7.5,
                "status": "met",
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              {
                "key": "branch_protection",
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                "detail": "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",
                "points": 0,
                "status": "excluded",
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              {
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                "key": "cii_best_practices",
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                "status": "missed",
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                "key": "code_review",
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                "key": "dangerous_workflow",
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                "key": "dependency_update_tool",
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                "details": [],
                "max_points": 7.5
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "max_points": 5
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              {
                "key": "license",
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                "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
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              {
                "key": "packaging",
                "name": "Packaging",
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                "points": 5,
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                "details": [],
                "max_points": 5
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              {
                "key": "pinned_dependencies",
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                "status": "missed",
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                "max_points": 5
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              {
                "key": "sast",
                "name": "SAST",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
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              {
                "key": "security_policy",
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                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
                  }
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                "max_points": 7.5
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              {
                "key": "token_permissions",
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                "points": 0,
                "status": "missed",
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              {
                "key": "vulnerabilities",
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                "points": 7.5,
                "status": "met",
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                "max_points": 7.5
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            "value": 100,
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              "red_flag": false,
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                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 14
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            "components": [
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                "points": 100,
                "status": "met",
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      },
      {
        "key": "ai_readiness",
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        "name": "AI Readiness",
        "value": 44,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
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            "inputs": {
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              "agent_instruction_max_bytes": null
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          {
            "key": "ai_verify_loop",
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              {
                "key": "automated_maintenance",
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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          },
          {
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              },
              {
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              },
              {
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                "points": 40,
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                    "code": "file_list",
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            ]
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        ],
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      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "pypi package 'rapids-singlecell' points at a different repository (https://github.com/scverse/rapids_singlecell); excluded from ecosystem scoring",
    "deps.dev does not index pypi:rapids-singlecell@0.16.0; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-20T22:25:20.487192Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/scverse/rapids-singlecell.svg",
  "full_name": "scverse/rapids-singlecell",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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