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Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-18 13:37 UTC

qdrant / fastembed

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Python · Jupyter NotebookApache-2.0★ 3.092 Sterne⑂ 214 Forksseit Juli 2023Auf GitHub ansehen ↗

qdrant/fastembed erreicht einen Gesundheitsindex von 76 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (92/100) ab, am schwächsten bei AI Readiness (47/100). 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

QdrantOrganisation
1.759 Follower132 öffentliche Reposseit Okt. 2020

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIfastembed0.8.0-44vor 116 Tagenvectorembeddingneuralsearchqdrantsentence-transformers

Metriken nach Kategorie

Vitalität

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

76Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
12.5/36Commit-Rhythmus — 18/52 Wochen mit Commits
13.6/18Commit-Volumen — 32 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 4 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year32
human_commit_share
days_since_last_push0
active_weeks_last_year18
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 27 Releases veröffentlicht
27/36Release-Aktualität — letztes Release vor 116 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 55 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count27
latest_release_tagv0.8.0
releases_from_tagsnein
days_since_latest_release116
mean_days_between_releases55
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?

80Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
56.6/60Stars — 3.092 Stars
19.4/25Forks — 214 Forks
7.4/15Watcher — 22 Watcher
Verwendete Eingangsdaten
forks214
stars3.092
watchers22
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
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

Nachhaltigkeit & Governance

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

69Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
9.4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 58 % der Commits
13.5/13.5Breite der Beitragenden — 29 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled29
top_contributor_share0,581
Wie die Bewertung erfolgt
26.4/46.8Issue-Lösungsquote — 56 % der Issues geschlossen
30.1/38.3PR-Annahme — 268/341 entschiedene PRs gemergt
12/15OpenSSF Scorecard: Code-Review — Found 26/30 approved changesets -- score normalized to 8
Verwendete Eingangsdaten
merged_prs268
open_issues113
closed_issues147
issue_closed_ratio0,565
closed_unmerged_prs73
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
23.3/25Reichweite des Inhabers — 1.759 Follower von qdrant
24.4/25Kontohistorie — 132 öffentliche Repos, Kontoalter ca. 5 Jahre
Verwendete Eingangsdaten
followers1.759
owner_typeOrganization
is_verified
owner_loginqdrant
public_repos132
account_age_days2.090

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 116 Tagen
20/20Versionshistorie — 44 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesfastembed
ecosystemspypi
any_deprecatednein
min_days_since_publish116

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 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 — 27 out of 27 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://qdrant.github.io/fastembed/
10/10Repository-Beschreibung
10/10Topics — 6 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsembeddings, openai, rag, retrieval, retrieval-augmented-generation, vector-search
has_wikinein
homepagehttps://qdrant.github.io/fastembed/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

65Mittel · 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 — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — keine Daten
6/7.5Code-Review — Found 26/30 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 5 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
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 4 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
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
0/7.5Vulnerabilities — 75 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6,5
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, cii_best_practices, 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.

47Gefährdet · 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
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — fastembed/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilespoetry.lock
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configsfastembed/py.typed
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
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (fastembed/py.typed)
55/55Handhabbare Dateigrößen — 0/78 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes21.350
source_files_sampled78
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

3.092GitHub-Sterne
29Mitwirkende
32Commits, letzte 12 Monate
0Tage seit letztem Push
27Releases
1Bus-Faktor
113offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 6.5 / 10
6.5Gesamtwert

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).Scorecard v5.5.0 · 2026-07-18 13:37 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-Tests27 out of 27 merged PRs checked by a CI test -- score normalized to 10
k. A.CII-Best-Practicesinternal error: error during json parsing: error during json.Unmarshal: invalid character '<' looking for beginning of value
8Code-ReviewFound 26/30 approved changesets -- score normalized to 8
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained4 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
9SASTSAST tool is not run on all commits -- score normalized to 9
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities75 existing vulnerabilities detected
Direkte Abhängigkeiten 10
RegistryPaketVersionsvorgabeManifest
PyPInumpypyproject.toml
PyPIonnxruntimepyproject.toml
PyPItqdm^4.66pyproject.toml
PyPIrequests^2.31pyproject.toml
PyPItokenizers>=0.15,<1.0pyproject.toml
PyPIhuggingface-hub>=0.20,<2.0pyproject.toml
PyPIloguru^0.7.2pyproject.toml
PyPIpillowpyproject.toml
PyPImmh3>=4.1.0,<6.0.0pyproject.toml
PyPIpy-rust-stemmers^0.1.0pyproject.toml
Alle Abhängigkeiten 170

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 13 direkte und 157 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIhuggingface-hub1.5.0direkt
PyPIloguru0.7.2direkt
PyPIloguru0.7.3direkt
PyPImmh35.2.0direkt
PyPInumpy2.2.6direkt
PyPInumpy2.4.2direkt
PyPIonnxruntime1.23.2direkt
PyPIonnxruntime1.24.2direkt
PyPIpillow12.1.1direkt
PyPIpy-rust-stemmers0.1.5direkt
PyPIrequests2.32.5direkt
PyPItokenizers0.22.2direkt
PyPItqdm4.67.3direkt
PyPIannotated-doc0.0.4indirekt
PyPIanyio4.12.1indirekt
PyPIappnope0.1.4indirekt
PyPIargon2-cffi25.1.0indirekt
PyPIargon2-cffi-bindings25.1.0indirekt
PyPIarrow1.4.0indirekt
PyPIasttokens3.0.1indirekt
PyPIasync-lru2.2.0indirekt
PyPIattrs25.4.0indirekt
PyPIbabel2.18.0indirekt
PyPIbackrefs6.2indirekt
PyPIbeautifulsoup44.14.3indirekt
PyPIbleach6.3.0indirekt
PyPIcairocffi1.7.1indirekt
PyPIcairosvg2.8.2indirekt
PyPIcertifi2026.2.25indirekt
PyPIcffi2.0.0indirekt
PyPIcfgv3.5.0indirekt
PyPIcharset-normalizer3.4.4indirekt
PyPIclick8.3.1indirekt
PyPIcolorama0.4.6indirekt
PyPIcoloredlogs15.0.1indirekt
PyPIcomm0.2.3indirekt
PyPIcssselect20.9.0indirekt
PyPIdebugpy1.8.20indirekt
PyPIdecorator5.2.1indirekt
PyPIdefusedxml0.7.1indirekt
PyPIdistlib0.4.0indirekt
PyPIexceptiongroup1.3.1indirekt
PyPIexecuting2.2.1indirekt
PyPIfastjsonschema2.21.2indirekt
PyPIfilelock3.25.0indirekt
PyPIflatbuffers25.12.19indirekt
PyPIfqdn1.4.0indirekt
PyPIfqdn1.5.1indirekt
PyPIfsspec2026.2.0indirekt
PyPIghp-import2.1.0indirekt
PyPIgitdb4.0.12indirekt
PyPIgitpython3.1.46indirekt
PyPIh110.16.0indirekt
PyPIhf-xet1.3.2indirekt
PyPIhttpcore1.0.9indirekt
PyPIhttpx0.28.1indirekt
PyPIhumanfriendly10.0indirekt
PyPIidentify2.6.17indirekt
PyPIidna3.11indirekt
PyPIiniconfig2.3.0indirekt
PyPIipykernel7.2.0indirekt
PyPIipython8.38.0indirekt
PyPIipython9.10.0indirekt
PyPIipython9.11.0indirekt
PyPIipython-pygments-lexers1.1.1indirekt
PyPIisoduration20.11.0indirekt
PyPIjedi0.19.2indirekt
PyPIjinja23.1.6indirekt
PyPIjson50.13.0indirekt
PyPIjsonpointer3.0.0indirekt
PyPIjsonschema4.26.0indirekt
PyPIjsonschema-specifications2025.9.1indirekt
PyPIjupyter-client8.8.0indirekt
PyPIjupyter-core5.9.1indirekt
PyPIjupyter-events0.12.0indirekt
PyPIjupyter-lsp2.3.0indirekt
PyPIjupyter-server2.17.0indirekt
PyPIjupyter-server-terminals0.5.4indirekt
PyPIjupyterlab4.5.5indirekt
PyPIjupyterlab-pygments0.3.0indirekt
PyPIjupyterlab-server2.28.0indirekt
PyPIlark1.3.1indirekt
PyPIlibrt0.8.1indirekt
PyPImarkdown3.10.2indirekt
PyPImarkdown-it-py4.0.0indirekt
PyPImarkupsafe3.0.3indirekt
PyPImatplotlib-inline0.2.1indirekt
PyPImdurl0.1.2indirekt
PyPImergedeep1.3.4indirekt
PyPImistune3.2.0indirekt
PyPImkdocs1.6.1indirekt
PyPImkdocs-autorefs1.4.4indirekt
PyPImkdocs-get-deps0.2.0indirekt
PyPImkdocs-material9.7.4indirekt
PyPImkdocs-material-extensions1.3.1indirekt
PyPImkdocstrings0.24.3indirekt
PyPImknotebooks0.8.0indirekt
PyPIml-dtypes0.5.4indirekt
PyPImpmath1.3.0indirekt
PyPImypy1.19.1indirekt
PyPImypy-extensions1.1.0indirekt
PyPInbclient0.10.4indirekt
PyPInbconvert7.17.0indirekt
PyPInbformat5.10.4indirekt
PyPInest-asyncio1.6.0indirekt
PyPInodeenv1.10.0indirekt
PyPInotebook7.5.4indirekt
PyPInotebook-shim0.2.4indirekt
PyPIonnx1.20.1indirekt
PyPIoverrides7.7.0indirekt
PyPIpackaging26.0indirekt
PyPIpaginate0.5.7indirekt
PyPIpandocfilters1.5.1indirekt
PyPIparso0.8.6indirekt
PyPIpathspec1.0.4indirekt
PyPIpexpect4.9.0indirekt
PyPIplatformdirs4.9.2indirekt
PyPIpluggy1.6.0indirekt
PyPIpre-commit3.8.0indirekt
PyPIprometheus-client0.24.1indirekt
PyPIprompt-toolkit3.0.52indirekt
PyPIprotobuf7.34.0indirekt
PyPIpsutil7.2.2indirekt
PyPIptyprocess0.7.0indirekt
PyPIpure-eval0.2.3indirekt
PyPIpycparser3.0indirekt
PyPIpygments2.19.2indirekt
PyPIpymdown-extensions10.21indirekt
PyPIpyreadline33.5.4indirekt
PyPIpyright1.1.408indirekt
PyPIpytest7.4.4indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-discovery1.1.0indirekt
PyPIpython-json-logger4.0.0indirekt
PyPIpywinpty3.0.3indirekt
PyPIpyyaml6.0.3indirekt
PyPIpyyaml-env-tag1.1indirekt
PyPIpyzmq27.1.0indirekt
PyPIreferencing0.37.0indirekt
PyPIrfc3339-validator0.1.4indirekt
PyPIrfc3986-validator0.1.1indirekt
PyPIrfc3987-syntax1.1.0indirekt
PyPIrich14.3.3indirekt
PyPIrpds-py0.30.0indirekt
PyPIruff0.15.4indirekt
PyPIsend2trash2.1.0indirekt
PyPIsetuptools82.0.0indirekt
PyPIshellingham1.5.4indirekt
PyPIsix1.17.0indirekt
PyPIsmmap5.0.2indirekt
PyPIsoupsieve2.8.3indirekt
PyPIstack-data0.6.3indirekt
PyPIsympy1.14.0indirekt
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PyPItinycss21.4.0indirekt
PyPItomli2.4.0indirekt
PyPItornado6.5.4indirekt
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PyPItyping-extensions4.15.0indirekt
PyPItzdata2025.3indirekt
PyPIuri-template1.3.0indirekt
PyPIurllib32.6.3indirekt
PyPIvirtualenv21.1.0indirekt
PyPIwatchdog6.0.0indirekt
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PyPIwebcolors25.10.0indirekt
PyPIwebencodings0.5.1indirekt
PyPIwebsocket-client1.9.0indirekt
PyPIwin32-setctime1.2.0indirekt
JSON-Rohbericht maschinenlesbar
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                "max_points": 22.5
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              {
                "key": "license",
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                "points": 22.5,
                "status": "met",
                "details": [
                  {
                    "code": "license_standard",
                    "params": {}
                  },
                  {
                    "code": "license_spdx",
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                      "spdx": "Apache-2.0"
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                "key": "contributing_guide",
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                "key": "issue_template",
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                "key": "pr_template",
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        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
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      {
        "key": "governance",
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        "name": "Sustainability & Governance",
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        "weight": 0.24,
        "metrics": [
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            "notes": [],
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                "key": "bus_factor",
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                  {
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                "key": "commit_distribution",
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                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
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                "status": "met",
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                "max_points": 10
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          {
            "key": "responsiveness",
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            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
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              "merged_prs": 268,
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              "issue_closed_ratio": 0.565,
              "closed_unmerged_prs": 73
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            "components": [
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                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "56% of issues closed",
                "points": 26.4,
                "status": "partial",
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                    "code": "issues_closed_share",
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                      "share": 56
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "268/341 decided PRs merged",
                "points": 30.1,
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                    "code": "decided_prs_merged",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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                "detail": "Found 26/30 approved changesets -- score normalized to 8",
                "points": 12,
                "status": "partial",
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                "max_points": 15
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          },
          {
            "key": "stewardship",
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            "note": null,
            "notes": [],
            "value": 78,
            "inputs": {
              "followers": 1759,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "qdrant",
              "public_repos": 132,
              "account_age_days": 2090
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            "components": [
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                "key": "ownership_backing",
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                "detail": "organization-owned",
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                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
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                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "1,759 followers of qdrant",
                "points": 23.3,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
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                      "count": 1759,
                      "login": "qdrant"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "132 public repos, account ~5 yr old",
                "points": 24.4,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 132
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                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 5
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                  }
                ],
                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "fastembed"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 116
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 116 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
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                      "days": 116
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                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "44 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 44
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
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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?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 92,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
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            "name": "Engineering practices",
            "note": null,
            "notes": [],
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            "inputs": {
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              "has_editorconfig": false,
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            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "4 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 4
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                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "27 out of 27 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "embeddings",
                "openai",
                "rag",
                "retrieval",
                "retrieval-augmented-generation",
                "vector-search"
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              "has_wiki": false,
              "homepage": "https://qdrant.github.io/fastembed/",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
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            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://qdrant.github.io/fastembed/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "6 topics",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "topics_count",
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                ],
                "max_points": 10
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              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 65,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, CII-Best-Practices, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
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                    "signed_releases"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 65,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 3,
              "scorecard_aggregate": 6.5
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            "components": [
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                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "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",
                "details": [
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                    "code": "no_data",
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                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "27 out of 27 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "internal error: error during json parsing: error during json.Unmarshal: invalid character '<' looking for beginning of value",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 26/30 approved changesets -- score normalized to 8",
                "points": 6,
                "status": "partial",
                "details": [],
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              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 5 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "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 not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "4 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 3",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 9",
                "points": 4.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "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": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "75 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "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": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 4
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 47,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
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                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "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": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 70,
            "inputs": {
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              "lockfiles": [
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              "has_linter_config": true,
              "typecheck_configs": [
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              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "fastembed/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "fastembed/py.typed"
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
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Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.12.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte StatistikenPyPI.