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Software-GesundheitsberichtSchema 0.9.0 · Metriken 1.13.0 · 2026-07-14 09:13 UTC

rerun-io / rerun

Visualize, query, and stream to train on multimodal robotics data.

Rust · PythonApache-2.0★ 11.126 Sterne⑂ 793 Forksseit Apr. 2022Auf GitHub ansehen ↗

rerun-io/rerun erreicht einen Gesundheitsindex von 82 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (100/100) ab, am schwächsten bei Security (40/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.

82
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.

82
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

rerun.ioOrganisation
765 Follower144 öffentliche Reposseit Feb. 2022

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIrerun-notebook0.34.1-185vor 6 Tagen
PyPIrerun-sdk0.34.1-140vor 6 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 — 2.907 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year2.907
human_commit_share
days_since_last_push0
active_weeks_last_year52

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 80 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 6 Tagen
27/27Release-Rhythmus — ein Release etwa alle 10 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count80
latest_release_tag0.34.1
releases_from_tagsnein
days_since_latest_release6
mean_days_between_releases10

Community & Verbreitung

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

94Exzellent · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 11.126 Stars
24.2/25Forks — 793 Forks
10.4/15Watcher — 74 Watcher
Verwendete Eingangsdaten
forks793
stars11.126
watchers74
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
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
6.3/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templateja

Nachhaltigkeit & Governance

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

80Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
36/54Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab
16.4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 27 % der Commits
13.5/13.5Breite der Beitragenden — 100 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor3
contributors_sampled100
top_contributor_share0,273
Wie die Bewertung erfolgt
33.3/46.8Issue-Lösungsquote — 71 % der Issues geschlossen
35.2/38.3PR-Annahme — 7.579/8.239 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs7.579
open_issues1.267
closed_issues3.147
issue_closed_ratio0,713
closed_unmerged_prs660
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
20.7/25Reichweite des Inhabers — 765 Follower von rerun-io
21.8/25Kontohistorie — 144 öffentliche Repos, Kontoalter ca. 4 Jahre
Verwendete Eingangsdaten
followers765
owner_typeOrganization
is_verified
owner_loginrerun-io
public_repos144
account_age_days1.614

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 2 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 6 Tagen
20/20Versionshistorie — 185 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesrerun-notebook, rerun-sdk
ecosystemspypi
any_deprecatednein
min_days_since_publish6

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

89Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 54 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — ruff.toml
0/9.6Pre-Commit-Hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfigja
has_linter_configja
has_precommit_confignein

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://rerun.io/
10/10Repository-Beschreibung
10/10Topics — 7 Topics
0/10Wiki
Verwendete Eingangsdaten
topicscomputer-vision, cpp, multimodal, python, robotics, rust, visualization
has_wikinein
homepagehttps://rerun.io/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

40Gefährdet · 16 % des Gesamtindex

Sicherheitslage

40Gefährdet
Wie die Bewertung erfolgt
30/30Sicherheitsrichtlinie (SECURITY.md)
0/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet
0/20CodeQL-Workflow
Verwendete Eingangsdaten
sourcefile_signals
lockfilesCargo.lock, package-lock.json, uv.lock, yarn.lock
manifestsCargo.toml, pyproject.toml, rerun_js/package.json, rerun_notebook/package.json, rerun_notebook/pyproject.toml, rerun_pixi_env/pyproject.toml, rerun_py/Cargo.toml, rerun_py/pyproject.toml, run_wasm/Cargo.toml
has_codeql_workflownein
has_security_policyja
has_dependabot_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. 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.

92Exzellent · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md, CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes9.121
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 — examples/c/minimal/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — ruff.toml
11/11Statische Typprüfung — examples/python/_isolated/mypy.ini, pyrightconfig.json, rerun_js/web-viewer-react/tsconfig.json, rerun_js/web-viewer/tsconfig.json, rerun_notebook/tsconfig.json, rerun_py/rerun_bindings/py.typed, rerun_py/rerun_sdk/rerun/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesCargo.lock, package-lock.json, uv.lock, yarn.lock
has_dockerfileja
typed_languageja
bootstrap_filesexamples/c/minimal/Makefile
has_devcontainernein
has_linter_configja
typecheck_configsexamples/python/_isolated/mypy.ini, pyrightconfig.json, rerun_js/web-viewer-react/tsconfig.json, rerun_js/web-viewer/tsconfig.json, rerun_notebook/tsconfig.json, rerun_py/rerun_bindings/py.typed, rerun_py/rerun_sdk/rerun/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
45/45Typprüfbarer Code — Rust (statisch typisiert)
54.5/55Handhabbare Dateigrößen — 38/4.107 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageRust
largest_source_bytes302.643
source_files_sampled4.107
oversized_source_files38
Wie die Bewertung erfolgt
40/40API-Schema (OpenAPI/GraphQL/proto) — crates/store/re_protos/proto/rerun/v1alpha1/cloud.proto, crates/store/re_protos/proto/rerun/v1alpha1/common.proto, crates/store/re_protos/proto/rerun/v1alpha1/log_msg.proto, crates/store/re_protos/proto/rerun/v1alpha1/sdk_comms.proto, crates/store/re_protos/proto/rerun/v1alpha1/viewer.proto, examples/python/objectron/objectron/proto/a_r_capture_metadata.proto, examples/python/objectron/objectron/proto/annotation_data.proto, examples/python/objectron/objectron/proto/object.proto
20/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalja
api_schema_filescrates/store/re_protos/proto/rerun/v1alpha1/cloud.proto, crates/store/re_protos/proto/rerun/v1alpha1/common.proto, crates/store/re_protos/proto/rerun/v1alpha1/log_msg.proto, crates/store/re_protos/proto/rerun/v1alpha1/sdk_comms.proto, crates/store/re_protos/proto/rerun/v1alpha1/viewer.proto, examples/python/objectron/objectron/proto/a_r_capture_metadata.proto, examples/python/objectron/objectron/proto/annotation_data.proto, examples/python/objectron/objectron/proto/object.proto

Eckdaten

11.126GitHub-Sterne
100Mitwirkende
2.907Commits, letzte 12 Monate
0Tage seit letztem Push
80Releases
3Bus-Faktor
1.267offene Issues
crates.io, npm, PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Could not fetch pypi package 'rerun-workspace' from its registry
  • Could not fetch pypi package 'rerun-pixi-env' from its registry
  • Could not fetch crates package 'rerun_py' from its registry
  • Could not fetch crates package 'run_wasm' from its registry
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

Weitere Details

Direkte Abhängigkeiten 73
RegistryPaketVersionsvorgabeManifest
npm@rerun-io/web-viewerfile:../rerun_js/web-viewerrerun_notebook/package.json
PyPIanywidgetrerun_notebook/pyproject.toml
PyPIjupyter-ui-pollrerun_notebook/pyproject.toml
PyPIipykernel!= 7.0.*rerun_notebook/pyproject.toml
crates.iore_arrow_utilrerun_py/Cargo.toml
crates.iore_authrerun_py/Cargo.toml
crates.iore_build_inforerun_py/Cargo.toml
crates.iore_chunkrerun_py/Cargo.toml
crates.iore_lenses_corererun_py/Cargo.toml
crates.iore_lensesrerun_py/Cargo.toml
crates.iore_chunk_storererun_py/Cargo.toml
crates.iore_formatrerun_py/Cargo.toml
crates.iore_importerrerun_py/Cargo.toml
crates.iore_datafusionrerun_py/Cargo.toml
crates.iore_errorrerun_py/Cargo.toml
crates.iore_redap_clientrerun_py/Cargo.toml
crates.iore_grpc_clientrerun_py/Cargo.toml
crates.iore_grpc_serverrerun_py/Cargo.toml
crates.iore_logrerun_py/Cargo.toml
crates.iore_log_encodingrerun_py/Cargo.toml
crates.iore_log_typesrerun_py/Cargo.toml
crates.iore_mcaprerun_py/Cargo.toml
crates.iore_mp4_readerrerun_py/Cargo.toml
crates.iore_parquetrerun_py/Cargo.toml
crates.iore_memoryrerun_py/Cargo.toml
crates.iore_quota_channelrerun_py/Cargo.toml
crates.iore_sdkrerun_py/Cargo.toml
crates.iore_sorbetrerun_py/Cargo.toml
crates.iore_tracingrerun_py/Cargo.toml
crates.iore_tuidrerun_py/Cargo.toml
crates.iore_types_corererun_py/Cargo.toml
crates.iore_urirerun_py/Cargo.toml
crates.iore_videorerun_py/Cargo.toml
crates.iore_web_viewer_serverrerun_py/Cargo.toml
crates.iore_serverrerun_py/Cargo.toml
crates.ioanyhowrerun_py/Cargo.toml
crates.ioarrowrerun_py/Cargo.toml
crates.iochronorerun_py/Cargo.toml
crates.iocomfy-tablererun_py/Cargo.toml
crates.iocrossbeamrerun_py/Cargo.toml
crates.iodatafusionrerun_py/Cargo.toml
crates.iodatafusion-ffirerun_py/Cargo.toml
crates.iodocument-featuresrerun_py/Cargo.toml
crates.iofuturesrerun_py/Cargo.toml
crates.ioitertoolsrerun_py/Cargo.toml
crates.iojiffrerun_py/Cargo.toml
crates.iomemmap2rerun_py/Cargo.toml
crates.ioinferrerun_py/Cargo.toml
crates.iomimallocrerun_py/Cargo.toml
crates.ionumpyrerun_py/Cargo.toml
crates.ioparking_lotrerun_py/Cargo.toml
crates.iopyo3rerun_py/Cargo.toml
crates.iorandrerun_py/Cargo.toml
crates.iorustlsrerun_py/Cargo.toml
crates.iostrumrerun_py/Cargo.toml
crates.iostrum_macrosrerun_py/Cargo.toml
crates.iotracingrerun_py/Cargo.toml
crates.iouuidrerun_py/Cargo.toml
crates.iore_protosrerun_py/Cargo.toml
crates.iotokiorerun_py/Cargo.toml
crates.iotokio-streamrerun_py/Cargo.toml
crates.iotonicrerun_py/Cargo.toml
crates.iourlrerun_py/Cargo.toml
crates.iothiserrorrerun_py/Cargo.toml
PyPIattrs>=23.1.0rerun_py/pyproject.toml
PyPInumpy>=2rerun_py/pyproject.toml
PyPIpillow>=8.0.0rerun_py/pyproject.toml
PyPIpsutil>=7.0rerun_py/pyproject.toml
PyPIpyarrow>=18.0.0rerun_py/pyproject.toml
PyPItyping_extensions>=4.5rerun_py/pyproject.toml
crates.iocargo-run-wasmrun_wasm/Cargo.toml
crates.iopico-argsrun_wasm/Cargo.toml
crates.iowebbrowserrun_wasm/Cargo.toml
JSON-Rohbericht maschinenlesbar
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                "key": "project_is_still_maintained",
                "name": "Project is still maintained",
                "detail": "maintenance record not established from the collected data",
                "points": 100,
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                "max_points": 100
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            ]
          }
        ],
        "description": "Is the project alive — is code being written and are releases shipping?"
      },
      {
        "key": "community",
        "band": "excellent",
        "name": "Community & Adoption",
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        "metrics": [
          {
            "key": "popularity",
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            "components": [
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                "key": "stars",
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              {
                "key": "forks",
                "name": "Forks",
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                "points": 24.2,
                "status": "partial",
                "details": [
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                "max_points": 25
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              {
                "key": "watchers",
                "name": "Watchers",
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                "status": "partial",
                "details": [
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                    "code": "watchers",
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                "max_points": 15
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          },
          {
            "key": "community_health",
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            "name": "Community health",
            "note": null,
            "notes": [],
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              "has_readme": true,
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              "has_contributing": true,
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            "components": [
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                "key": "readme",
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              {
                "key": "license",
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                "detail": "recognized license (Apache-2.0)",
                "points": 22.5,
                "status": "met",
                "details": [
                  {
                    "code": "license_standard",
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                  {
                    "code": "license_spdx",
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                      "spdx": "Apache-2.0"
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              {
                "key": "contributing_guide",
                "name": "CONTRIBUTING guide",
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              {
                "key": "code_of_conduct",
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      {
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        "name": "Sustainability & Governance",
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              "top_contributor_share": 0.273
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                "max_points": 54
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                "key": "commit_distribution",
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                "key": "contributor_breadth",
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                "details": [
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                "max_points": 13.5
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              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
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                "status": "excluded",
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                  {
                    "code": "no_data",
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                "max_points": 10
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          {
            "key": "responsiveness",
            "band": "good",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
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              "merged_prs": 7579,
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              "closed_issues": 3147,
              "issue_closed_ratio": 0.713,
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            "components": [
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                "key": "issue_resolution",
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                "detail": "71% of issues closed",
                "points": 33.3,
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                    "code": "issues_closed_share",
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
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                "status": "partial",
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                "max_points": 38.25
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              {
                "key": "openssf_scorecard_code_review",
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                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
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                "max_points": 15
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          },
          {
            "key": "stewardship",
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            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 72,
            "inputs": {
              "followers": 765,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "rerun-io",
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              "account_age_days": 1614
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            "components": [
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                "key": "ownership_backing",
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                "details": [
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                    "code": "owner_organization",
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                "max_points": 30
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              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
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                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
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                      "count": 765,
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                ],
                "max_points": 25
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "144 public repos, account ~4 yr old",
                "points": 21.8,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
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                      "count": 144
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                  },
                  {
                    "code": "account_age_years",
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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": {
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 6
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            "components": [
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                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "2 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
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                    "code": "packages_published",
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                ],
                "max_points": 25
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              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 6 days ago",
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                "status": "met",
                "details": [
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                    "code": "publish_recency",
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                ],
                "max_points": 35
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              {
                "key": "version_history",
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                "points": 20,
                "status": "met",
                "details": [
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                    "code": "published_versions",
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                      "count": 185
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                  }
                ],
                "max_points": 20
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              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "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?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
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        "weight": 0.2,
        "metrics": [
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            "key": "engineering_practices",
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            "note": null,
            "notes": [],
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            "components": [
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                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "54 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
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                    "code": "ci_workflows",
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                      "count": 54
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                ],
                "max_points": 24
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              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": "ruff.toml",
                "points": 16,
                "status": "met",
                "details": [
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                    "code": "file_list",
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                "max_points": 16
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              {
                "key": "pre_commit_hooks",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
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              {
                "key": "editorconfig",
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                "status": "met",
                "details": [],
                "max_points": 6.4
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              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
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                "points": 0,
                "status": "excluded",
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                    "code": "no_data",
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                ],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
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            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
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                "multimodal",
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                "robotics",
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            "components": [
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                "key": "readme",
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                "points": 30,
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              {
                "key": "documentation_directory",
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                "points": 25,
                "status": "met",
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                "max_points": 25
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              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
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                "status": "met",
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                "max_points": 15
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              {
                "key": "repository_description",
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                "points": 10,
                "status": "met",
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                "max_points": 10
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                "key": "topics",
                "name": "Topics",
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                "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",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "at_risk",
        "name": "Security",
        "value": 40,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "dependency_lockfiles"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 40,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [
                "Cargo.lock",
                "package-lock.json",
                "uv.lock",
                "yarn.lock"
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              "manifests": [
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                "rerun_notebook/package.json",
                "rerun_notebook/pyproject.toml",
                "rerun_pixi_env/pyproject.toml",
                "rerun_py/Cargo.toml",
                "rerun_py/pyproject.toml",
                "run_wasm/Cargo.toml"
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              "has_codeql_workflow": false,
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              "has_dependabot_config": false
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            "components": [
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                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": "published library — lockfiles are an application concern, not expected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "lockfiles_not_expected",
                    "params": {}
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                ],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
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            ]
          },
          {
            "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": {}
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            ],
            "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": 11
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            "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": {}
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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": "excellent",
        "name": "AI Readiness",
        "value": 92,
        "weight": 0,
        "metrics": [
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            "key": "ai_agent_context",
            "band": "good",
            "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": {
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
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              "agent_instruction_max_bytes": 9121
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            "components": [
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                "key": "agent_instructions",
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                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
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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)",
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                "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": {}
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                ],
                "max_points": 40
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            ]
          },
          {
            "key": "ai_verify_loop",
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            "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": [
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                }
              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 100,
            "inputs": {
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              "has_tests": true,
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                "rerun_js/web-viewer/tsconfig.json",
                "rerun_notebook/tsconfig.json",
                "rerun_py/rerun_bindings/py.typed",
                "rerun_py/rerun_sdk/rerun/py.typed"
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              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "examples/c/minimal/Makefile",
                "points": 18,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
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                  }
                ],
                "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": "ruff.toml",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "ruff.toml"
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                ],
                "max_points": 11
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Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.9.0 — vollständige Methodik · Metriken-Wiki.

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