Öffentliches Register
Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-17 16:15 UTC

cognitedata / toolkit

Official Cognite Data Fusion Toolkit CLI

PythonEigene Lizenz★ 21 Sterne⑂ 7 Forksseit Okt. 2023Auf GitHub ansehen ↗

cognitedata/toolkit erreicht einen Gesundheitsindex von 78 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (100/100) ab, am schwächsten bei Community & Adoption (59/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

78
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.

78
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

CogniteOrganisation
333 Follower323 öffentliche Reposseit Jan. 2017

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIcognite_toolkit0.8.14261.346747vor 0 Tagen

Metriken nach Kategorie

Vitalität

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

100Exzellent · 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 — 1.241 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year1.241
human_commit_share
days_since_last_push0
active_weeks_last_year52

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 0 Tagen
27/27Release-Rhythmus — ein Release etwa alle 0,9 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tag0.8.142
releases_from_tagsnein
days_since_latest_release0
mean_days_between_releases0,9
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?

59Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
21.1/60Stars — 21 Stars
6.5/25Forks — 7 Forks
8.6/15Watcher — 36 Watcher
Verwendete Eingangsdaten
forks7
stars21
watchers36
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
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templateja
Wie die Bewertung erfolgt
63.8/80Downloads pro Monat — 61.346 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagescognite_toolkit
dependents
ecosystemspypi
total_downloads
monthly_downloads61.346
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?

73Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
10.1/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 55 % der Commits
13.5/13.5Breite der Beitragenden — 37 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled37
top_contributor_share0,552
Wie die Bewertung erfolgt
38.9/46.8Issue-Lösungsquote — 83 % der Issues geschlossen
34.8/38.3PR-Annahme — 2.794/3.072 entschiedene PRs gemergt
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Verwendete Eingangsdaten
merged_prs2.794
open_issues4
closed_issues20
issue_closed_ratio0,833
closed_unmerged_prs278
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
18.1/25Reichweite des Inhabers — 333 Follower von cognitedata
25/25Kontohistorie — 323 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers333
owner_typeOrganization
is_verified
owner_logincognitedata
public_repos323
account_age_days3.455

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 0 Tagen
20/20Versionshistorie — 747 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagescognite_toolkit
ecosystemspypi
any_deprecatednein
min_days_since_publish0

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

82Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 4 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
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://pypi.org/project/cognite-toolkit/
10/10Repository-Beschreibung
10/10Topics — 1 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsai-low-risk
has_wikinein
homepagehttps://pypi.org/project/cognite-toolkit/
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

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

71Gut · 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
5/5SAST — SAST tool is run on all commits
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
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7,1
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.

66Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .cursor/rules/gh-cli.mdc, AGENTS.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files.cursor/rules/gh-cli.mdc, AGENTS.md
agent_instruction_max_bytes740
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespackage-lock.json, uv.lock
has_dockerfileja
typed_languagenein
bootstrap_files
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
54.3/55Handhabbare Dateigrößen — 10/815 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes117.029
source_files_sampled815
oversized_source_files10
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — tests/data/complete_org_alpha_flags/modules/my_example_module/data_modeling/AssetHierarchy.graphql, tests/data/naughty_project/modules/difficult_graphql/misbehaving_grandparent.GraphQLSchema.graphql, tests/data/project_no_cognite_modules/modules/a_module/data_modeling/my_model.graphql
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_filestests/data/complete_org_alpha_flags/modules/my_example_module/data_modeling/AssetHierarchy.graphql, tests/data/naughty_project/modules/difficult_graphql/misbehaving_grandparent.GraphQLSchema.graphql, tests/data/project_no_cognite_modules/modules/a_module/data_modeling/my_model.graphql

Eckdaten

21GitHub-Sterne
37Mitwirkende
1.241Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
1Bus-Faktor
4offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 7.1 / 10
7.1Gesamtwert

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 · 2026-07-17 16:15 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
10Code-Reviewall changesets reviewed
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direkte Abhängigkeiten 18
RegistryPaketVersionsvorgabeManifest
PyPIpython-dotenv>=1.0.0pyproject.toml
PyPIcognite-sdk>=8.6.0,<9.0.0pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIpandas>=1.5.3, <3.0.0pyproject.toml
PyPIpyyaml>=6.0.1pyproject.toml
PyPItyper>=0.12.0, <1.0.0pyproject.toml
PyPIrich>=13.9.4pyproject.toml
PyPIquestionary>=2.0.1pyproject.toml
PyPItomli>=2.0.1, <3.0.0pyproject.toml
PyPIpackaging>=25pyproject.toml
PyPItyping-extensions>=4.0.0pyproject.toml
PyPItoml>=0.10.2pyproject.toml
PyPIsentry-sdk>=2.1.0pyproject.toml
PyPImixpanel>=4.10.1pyproject.toml
PyPIpydantic>=2.12.0pyproject.toml
PyPIpython-dateutil>= 2.9.0pyproject.toml
PyPIpip>=25.0.1pyproject.toml
PyPIfilelock>=3.18.0pyproject.toml
Alle Abhängigkeiten 126

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 23 direkte und 103 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIcognite-sdkdirekt
PyPIcognite-sdk7.*direkt
PyPIcognite-sdk7.51.1direkt
PyPIcognite-sdk8.6.0direkt
PyPIfilelock3.29.0direkt
PyPIhttpx0.28.1direkt
PyPImixpanel4.11.1direkt
PyPIpackaging26.2direkt
PyPIpandas2.3.3direkt
PyPIpip26.1.1direkt
PyPIpydantic2.13.4direkt
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PyPIpython-dateutil2.9.0.post0direkt
PyPIpython-dotenv1.2.2direkt
PyPIpyyaml6.*direkt
PyPIpyyaml6.0.3direkt
PyPIquestionary2.1.1direkt
PyPIrich15.0.0direkt
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PyPItyper0.25.1direkt
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JSON-Rohbericht maschinenlesbar
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            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
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          {
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            "note": null,
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                "key": "readme",
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                "key": "license",
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                "key": "openssf_scorecard_contributors",
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                "max_points": 46.75
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          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T16:15:45.029608Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/cognitedata/toolkit.svg",
  "full_name": "cognitedata/toolkit",
  "license_state": "custom",
  "license_spdx": null
}

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 v0.12.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.