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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-16 00:10 UTC

man-group / arcticdb

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

C++ · PythonEigene Lizenz★ 2.424 Sterne⑂ 197 Forksseit Nov. 2022Auf GitHub ansehen ↗

man-group/arcticdb erreicht einen Gesundheitsindex von 83 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei Security (73/100). Zuletzt heute aktualisiert. 5 Mitwirkende tragen den Großteil der jüngsten Arbeit.

83
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.

83
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

Man GroupOrganisation
783 Follower61 öffentliche Reposseit Nov. 2013

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIarcticdb6.18.7-127vor 2 Tagen

Metriken nach Kategorie

Vitalität

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

96Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
36/36Commit-Rhythmus — 52/52 Wochen mit Commits
18/18Commit-Volumen — 510 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year510
human_commit_share
days_since_last_push0
active_weeks_last_year52
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 2 Tagen
27/27Release-Rhythmus — ein Release etwa alle 2,9 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count100
latest_release_tagv6.18.7
releases_from_tagsnein
days_since_latest_release2
mean_days_between_releases2,9

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

75Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
54.9/60Stars — 2.424 Stars
19.1/25Forks — 197 Forks
8.1/15Watcher — 30 Watcher
Verwendete Eingangsdaten
forks197
stars2.424
watchers30
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
16.9/22.5Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz
0/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductja
has_pull_request_templateja

Nachhaltigkeit & Governance

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

85Exzellent · 24 % des Gesamtindex
Wie die Bewertung erfolgt
45.9/54Bus-Faktor — 5 Beitragende decken die Hälfte aller Commits ab
19.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 13 % der Commits
13.5/13.5Breite der Beitragenden — 37 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor5
contributors_sampled37
top_contributor_share0,131
Wie die Bewertung erfolgt
34.1/46.8Issue-Lösungsquote — 73 % der Issues geschlossen
30/38.3PR-Annahme — 1.732/2.208 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs1.732
open_issues269
closed_issues727
issue_closed_ratio0,73
closed_unmerged_prs476
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
20.8/25Reichweite des Inhabers — 783 Follower von man-group
25/25Kontohistorie — 61 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers783
owner_typeOrganization
is_verified
owner_loginman-group
public_repos61
account_age_days4.635

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 2 Tagen
20/20Versionshistorie — 127 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesarcticdb
ecosystemspypi
any_deprecatednein
min_days_since_publish2

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

81Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 28 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — http://arcticdb.io
10/10Repository-Beschreibung
10/10Topics — 10 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsbig-data, data, data-analysis, data-science, database, pandas, dataframe, quantitative-analysis, quantitative-finance, quantitative-trading
has_wikija
homepagehttp://arcticdb.io
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

73Gut · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 22 out of 22 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 22 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.2/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7,3

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.

79Gut · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes8.836
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 — Makefile
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — C++ (statisch typisiert)
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_languageja
bootstrap_filesMakefile
has_devcontainernein
has_linter_confignein
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
45/45Typprüfbarer Code — C++ (statisch typisiert)
53.7/55Handhabbare Dateigrößen — 22/946 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC++
largest_source_bytes194.914
source_files_sampled946
oversized_source_files22
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — cpp/proto/arcticc/pb2/azure_storage.proto, cpp/proto/arcticc/pb2/column_stats.proto, cpp/proto/arcticc/pb2/config.proto, cpp/proto/arcticc/pb2/descriptors.proto, cpp/proto/arcticc/pb2/encoding.proto, cpp/proto/arcticc/pb2/gcp_storage.proto, cpp/proto/arcticc/pb2/in_memory_storage.proto, cpp/proto/arcticc/pb2/lmdb_storage.proto, cpp/proto/arcticc/pb2/logger.proto, cpp/proto/arcticc/pb2/mapped_file_storage.proto, cpp/proto/arcticc/pb2/mongo_storage.proto, cpp/proto/arcticc/pb2/nfs_backed_storage.proto, cpp/proto/arcticc/pb2/s3_storage.proto, cpp/proto/arcticc/pb2/storage.proto, cpp/proto/arcticc/pb2/utils.proto
0/20MCP-Server
40/40Lauffähige Beispiele — example, notebooks, sample
Verwendete Eingangsdaten
example_dirsexample, notebooks, sample
has_mcp_signalnein
api_schema_filescpp/proto/arcticc/pb2/azure_storage.proto, cpp/proto/arcticc/pb2/column_stats.proto, cpp/proto/arcticc/pb2/config.proto, cpp/proto/arcticc/pb2/descriptors.proto, cpp/proto/arcticc/pb2/encoding.proto, cpp/proto/arcticc/pb2/gcp_storage.proto, cpp/proto/arcticc/pb2/in_memory_storage.proto, cpp/proto/arcticc/pb2/lmdb_storage.proto, cpp/proto/arcticc/pb2/logger.proto, cpp/proto/arcticc/pb2/mapped_file_storage.proto, cpp/proto/arcticc/pb2/mongo_storage.proto, cpp/proto/arcticc/pb2/nfs_backed_storage.proto, cpp/proto/arcticc/pb2/s3_storage.proto, cpp/proto/arcticc/pb2/storage.proto, cpp/proto/arcticc/pb2/utils.proto

Eckdaten

2.424GitHub-Sterne
37Mitwirkende
510Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
5Bus-Faktor
269offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 7.3 / 10
7.3Gesamtwert

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 · 2026-07-16 00:08 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests22 out of 22 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 22 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 1 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
5Vulnerabilities5 existing vulnerabilities detected
Direkte Abhängigkeiten 8
RegistryPaketVersionsvorgabeManifest
PyPIpandas<3setup.cfg
PyPInumpysetup.cfg
PyPIattrssetup.cfg
PyPIprotobuf>=3.15.0, < 7 # Minimum required for optional supportsetup.cfg
PyPImsgpack>=0.5.0 # msgpack 0.5.0 is required for strict_types argument, needed for correct pickling fallbacksetup.cfg
PyPIpyyamlsetup.cfg
PyPIpackagingsetup.cfg
PyPIpytzsetup.cfg
Alle Abhängigkeiten 53

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 15 direkte und 38 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIattrsdirekt
PyPIattrs23.1.0direkt
PyPImsgpackdirekt
PyPImsgpack1.0.5direkt
PyPInumpydirekt
PyPInumpy1.24.4direkt
PyPIpackagingdirekt
PyPIpackaging24.2direkt
PyPIpandasdirekt
PyPIpandas2.1.4direkt
PyPIprotobufdirekt
PyPIprotobuf4.25.1direkt
PyPIpytzdirekt
PyPIpyyamldirekt
PyPIpyyaml6.0.1direkt
PyPIarcticdbindirekt
PyPIarcticdb1.6.2indirekt
PyPIarcticdb4.5.1indirekt
PyPIarcticdb5.0.0indirekt
PyPIarcticdb5.1.2indirekt
PyPIarcticdb5.2.4indirekt
PyPIarcticdb5.3.4indirekt
PyPIarcticdb5.4.1indirekt
PyPIarcticdb5.5.1indirekt
PyPIarcticdb5.6.0indirekt
PyPIarcticdb5.7.0indirekt
PyPIarcticdb5.8.0indirekt
PyPIarcticdb5.9.3indirekt
PyPIarcticdb6.1.1indirekt
PyPIazure-identityindirekt
PyPIazure-storage-blobindirekt
PyPIboto3indirekt
PyPIcoverageindirekt
PyPIflaskindirekt
PyPIflask-corsindirekt
PyPIfutureindirekt
PyPIhypothesisindirekt
PyPImockindirekt
PyPImotoindirekt
PyPIpolarsindirekt
PyPIprometheus-clientindirekt
PyPIprometheus-client0.21.1indirekt
PyPIpsutilindirekt
PyPIpyarrowindirekt
PyPIpymongoindirekt
PyPIpytestindirekt
PyPIpytest-cppindirekt
PyPIpytest-timeoutindirekt
PyPIpytest-xdistindirekt
PyPIretryingindirekt
PyPItrustmeindirekt
PyPIvirtualenvindirekt
PyPIwheelindirekt
JSON-Rohbericht maschinenlesbar
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                ],
                "max_points": 60
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              {
                "key": "forks",
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              {
                "key": "watchers",
                "name": "Watchers",
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            ]
          },
          {
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            "notes": [],
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      {
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                "key": "openssf_scorecard_contributors",
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            "key": "responsiveness",
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                "max_points": 46.75
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                "key": "pr_acceptance",
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          {
            "key": "stewardship",
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              "followers": 783,
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                "key": "ownership_backing",
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                    "code": "owner_organization",
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                "max_points": 30
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              {
                "key": "verified_domain",
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                "points": 0,
                "status": "missed",
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                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "783 followers of man-group",
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                    "code": "owner_followers",
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                      "count": 783,
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                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "61 public repos, account ~12 yr old",
                "points": 25,
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                    "code": "public_repos",
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                      "count": 61
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                    "code": "account_age_years",
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                      "years": 12
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                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
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            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
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              "ecosystems": "pypi",
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              "min_days_since_publish": 2
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                "key": "published_resolvable",
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                "detail": "1 package(s) on pypi",
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                "max_points": 25
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                "key": "publish_recency",
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                "max_points": 35
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                "key": "version_history",
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                "points": 20,
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                "details": [
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                    "code": "published_versions",
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                      "count": 127
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                  }
                ],
                "max_points": 20
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                "key": "not_deprecated",
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                "points": 20,
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                "details": [
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                    "code": "package_not_deprecated",
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                "max_points": 20
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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      {
        "key": "engineering",
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        "name": "Engineering Quality",
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        "weight": 0.2,
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            "key": "engineering_practices",
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                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "28 workflow(s)",
                "points": 24,
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                    "code": "ci_workflows",
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                      "count": 28
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                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
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                "points": 24,
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              {
                "key": "linter_config",
                "name": "Linter config",
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              {
                "key": "pre_commit_hooks",
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                "max_points": 9.6
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              {
                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
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                "points": 20,
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          {
            "key": "documentation",
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            "notes": [],
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                "data-science",
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                "quantitative-analysis",
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                "quantitative-trading"
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                "key": "readme",
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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                "key": "topics",
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                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "name": "Security",
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        "weight": 0.16,
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                "key": "binary_artifacts",
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                "points": 7.5,
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              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 6,
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                "key": "ci_tests",
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              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
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              {
                "key": "code_review",
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                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 22 contributing companies or organizations",
                "points": 2.5,
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                "details": [],
                "max_points": 2.5
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              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is fuzzed",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
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                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.2,
                "status": "partial",
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                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
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                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
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                "max_points": 5
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
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              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
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                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
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              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
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                "key": "token_permissions",
                "name": "Token-Permissions",
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                "status": "missed",
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              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "5 existing vulnerabilities detected",
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                "status": "partial",
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            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
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                "code": "jurisdiction_evidence_limits",
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            ],
            "value": 100,
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              "meaning": "self-published location evidence; not nationality or citizenship",
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              "review_only_matches": 0,
              "assessed_self_published_locations": 3
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                    "code": "jurisdiction_no_match",
                    "params": {}
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                ],
                "max_points": 100
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            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 79,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
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                "code": "excluded_no_data",
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 75,
            "inputs": {
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              "agent_instruction_max_bytes": 8836
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            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "CLAUDE.md",
                "points": 45,
                "status": "met",
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                    "code": "file_list",
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                  }
                ],
                "max_points": 45
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              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
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              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 74,
            "inputs": {
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              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
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            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
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                "points": 18,
                "status": "met",
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                "max_points": 18
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              {
                "key": "automated_tests",
                "name": "Automated tests",
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              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
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