Öffentliches RegisterKritisch
Software-GesundheitsberichtSchema 0.14.0 · Metriken 1.13.0 · 2026-07-19 07:22 UTC
mbk-dev / okama
Investment portfolio and stocks analyzing tools for Python with free historical data
mbk-dev/okama erreicht einen Gesundheitsindex von 14 von 100 und liegt damit im Bereich Kritisch. Am stärksten schneidet es bei Engineering Quality (95/100) ab, am schwächsten bei Security (10/100). Zuletzt vor 4 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
14
gesamt / 100Software-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.
14
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)
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.
Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 20 % auf die gewichtete Gesamtgesundheit an und begrenzt sie auf die Obergrenze Gefährdet von 49.
Eigentümerschaft
MBK DevelopmentOrganisation
29 Follower13 öffentliche Reposseit Sept. 2020
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | okama | 2.3.0 | - | 50 | vor 4 Tagen | financeinvestmentsefficient-frontierpythonoptimization |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
94
Entwicklungsaktivität
90Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 4 Tagen |
| 26.3/36 | Commit-Rhythmus — 38/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 326 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 326 |
| human_commit_share | — |
| days_since_last_push | 4 |
| active_weeks_last_year | 38 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 51 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 4 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 11,6 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 51 |
| latest_release_tag | v2.3.0 |
| releases_from_tags | nein |
| days_since_latest_release | 4 |
| mean_days_between_releases | 11,6 |
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?
71
Popularität & Verbreitung
58Mittel
Wie die Bewertung erfolgt
| 39.3/60 | Stars — 266 Stars |
| 13.6/25 | Forks — 44 Forks |
| 5.6/15 | Watcher — 11 Watcher |
Verwendete Eingangsdaten
| forks | 44 |
| stars | 266 |
| watchers | 11 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
85Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
57
Maintainer-Resilienz (Bus-Faktor)
21Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 1/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 95 % der Commits |
| 8.1/13.5 | Breite der Beitragenden — 6 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 6 |
| top_contributor_share | 0,954 |
Wie die Bewertung erfolgt
| 45.8/46.8 | Issue-Lösungsquote — 98 % der Issues geschlossen |
| 17.3/38.3 | PR-Annahme — 14/31 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 14 |
| open_issues | 1 |
| closed_issues | 50 |
| issue_closed_ratio | 0,98 |
| closed_unmerged_prs | 17 |
Eigentümerschaft & Trägerschaft
61Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 10.6/25 | Reichweite des Inhabers — 29 Follower von mbk-dev |
| 20/25 | Kontohistorie — 13 öffentliche Repos, Kontoalter ca. 5 Jahre |
Verwendete Eingangsdaten
| followers | 29 |
| owner_type | Organization |
| is_verified | — |
| owner_login | mbk-dev |
| public_repos | 13 |
| account_age_days | 2.121 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 4 Tagen |
| 20/20 | Versionshistorie — 50 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | okama |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 4 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
95
Engineering-Praktiken
92Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
100Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://okama.io/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 14 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | finance, investments, mathematics, python, optimization, portfolio-optimization, quantitative-finance, historical-data, portfolio, financial-data, cfa, time-series, markowitz, modern-portfolio-theory |
| has_wiki | ja |
| homepage | https://okama.io/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
10
Sicherheitslage
10Kritisch
Jurisdiktionsrisiko-Warnung
Exposition gegenüber einer Hochrisikojurisdiktion erkannt
1 software.redFlag.role.ownerRussia1 Profile wichtiger MitwirkenderRussiaSicherheit und Gesamtbewertung: Obergrenze Gefährdet
Grundlage sind selbst veröffentlichte öffentliche Profilstandorte. Dieses Governance-Signal bestimmt weder Nationalität, Staatsangehörigkeit, Absicht, Sanktionsstatus noch persönliche Vertrauenswürdigkeit.
So wird Jurisdiktionsexposition bewertetWie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — keine Daten |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 0/10 | Dangerous-Workflow — keine Daten |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — keine Daten |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — keine Daten |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 12 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 6 |
| scorecard_aggregate | 4,9 |
| high_risk_jurisdiction_cap | 49 |
| high_risk_jurisdiction_multiplier | 20 |
| security_posture_after_multiplier | 10 |
| security_posture_before_jurisdiction | 49 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. Die verbleibenden Gewichte wurden renormalisiert. Die Richtlinie für Hochrisikojurisdiktionen wendet einen Multiplikator von 20 % an und begrenzt die Sicherheitslage auf die Obergrenze Gefährdet von 49.
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.
65
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, CLAUDE.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 9.836 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — keine Daten |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung, OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
52Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 52.4/55 | Handhabbare Dateigrößen — 3/63 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 72.763 |
| source_files_sampled | 63 |
| oversized_source_files | 3 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
266GitHub-Sterne
6Mitwirkende
326Commits, letzte 12 Monate
4Tage seit letztem Push
51Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.9 / 10
4.9Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| k. A. | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| k. A. | Dangerous-Workflow | no workflows found |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| k. A. | Pinned-Dependencies | no dependencies found |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| k. A. | Token-Permissions | No tokens found |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 10
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | pandas | >=2.0.0 | pyproject.toml |
| PyPI | pyarrow | >=13.0.0 | pyproject.toml |
| PyPI | scipy | * | pyproject.toml |
| PyPI | matplotlib | >=3.5.1 | pyproject.toml |
| PyPI | requests | * | pyproject.toml |
| PyPI | joblib | * | pyproject.toml |
| PyPI | pandas-stubs | * | pyproject.toml |
| PyPI | arch | >=7.2.0 | pyproject.toml |
| PyPI | statsmodels | >=0.14.5 | pyproject.toml |
| PyPI | idna | >=3.15 | pyproject.toml |
Alle Abhängigkeiten 186
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 20 direkte und 166 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | arch | — | direkt |
| PyPI | arch | 8.0.0 | direkt |
| PyPI | idna | — | direkt |
| PyPI | idna | 3.18 | direkt |
| PyPI | joblib | — | direkt |
| PyPI | joblib | 1.5.3 | direkt |
| PyPI | matplotlib | — | direkt |
| PyPI | matplotlib | 3.11.0 | direkt |
| PyPI | pandas | — | direkt |
| PyPI | pandas | 3.0.3 | direkt |
| PyPI | pandas-stubs | — | direkt |
| PyPI | pandas-stubs | 3.0.3.260530 | direkt |
| PyPI | pyarrow | — | direkt |
| PyPI | pyarrow | 25.0.0 | direkt |
| PyPI | requests | — | direkt |
| PyPI | requests | 2.34.2 | direkt |
| PyPI | scipy | — | direkt |
| PyPI | scipy | 1.17.1 | direkt |
| PyPI | statsmodels | — | direkt |
| PyPI | statsmodels | 0.14.6 | direkt |
| PyPI | alabaster | 1.0.0 | indirekt |
| PyPI | anyio | 4.14.2 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | argon2-cffi | 25.1.0 | indirekt |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirekt |
| PyPI | arrow | 1.4.0 | indirekt |
| PyPI | asttokens | 3.0.2 | indirekt |
| PyPI | async-lru | 2.3.0 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | beautifulsoup4 | 4.15.0 | indirekt |
| PyPI | black | 26.5.1 | indirekt |
| PyPI | bleach | 6.4.0 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | cffi | 2.1.0 | indirekt |
| PyPI | cfgv | 3.5.0 | indirekt |
| PyPI | charset-normalizer | 3.4.9 | indirekt |
| PyPI | click | 8.4.2 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | commonmark | 0.9.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | debugpy | 1.8.21 | indirekt |
| PyPI | decorator | 5.3.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | distlib | 0.4.3 | indirekt |
| PyPI | docutils | — | indirekt |
| PyPI | docutils | 0.21.2 | indirekt |
| PyPI | execnet | 2.1.2 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | filelock | 3.29.7 | indirekt |
| PyPI | fonttools | 4.63.0 | indirekt |
| PyPI | fqdn | 1.5.1 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | identify | 2.6.19 | indirekt |
| PyPI | imagesize | 1.5.0 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | ipykernel | 7.3.0 | indirekt |
| PyPI | ipython | — | indirekt |
| PyPI | ipython | 9.15.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | ipywidgets | 8.1.8 | indirekt |
| PyPI | isoduration | 20.11.0 | indirekt |
| PyPI | jedi | 0.20.0 | indirekt |
| PyPI | jinja2 | — | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | json5 | 0.15.0 | indirekt |
| PyPI | jsonpointer | 3.1.1 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter | 1.1.1 | indirekt |
| PyPI | jupyter-builder | 1.1.0 | indirekt |
| PyPI | jupyter-client | 8.9.1 | indirekt |
| PyPI | jupyter-console | 6.6.3 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | jupyter-events | 0.12.1 | indirekt |
| PyPI | jupyter-lsp | 2.3.1 | indirekt |
| PyPI | jupyter-server | 2.20.0 | indirekt |
| PyPI | jupyter-server-terminals | 0.5.4 | indirekt |
| PyPI | jupyterlab | 4.6.1 | indirekt |
| PyPI | jupyterlab-pygments | 0.3.0 | indirekt |
| PyPI | jupyterlab-server | 2.28.0 | indirekt |
| PyPI | jupyterlab-widgets | 3.0.16 | indirekt |
| PyPI | kiwisolver | 1.5.0 | indirekt |
| PyPI | lark | 1.3.1 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib-inline | 0.2.2 | indirekt |
| PyPI | mistune | 3.3.3 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | nbclient | 0.11.0 | indirekt |
| PyPI | nbconvert | 7.17.1 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | nbmake | 1.5.5 | indirekt |
| PyPI | nbsphinx | — | indirekt |
| PyPI | nbsphinx | 0.9.8 | indirekt |
| PyPI | nbsphinx-link | — | indirekt |
| PyPI | nbsphinx-link | 1.4.1 | indirekt |
| PyPI | nest-asyncio2 | 1.7.2 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | notebook | 7.6.0 | indirekt |
| PyPI | notebook-shim | 0.2.4 | indirekt |
| PyPI | numpy | 2.4.6 | indirekt |
| PyPI | numpy-typing-compat | 20251206.2.4 | indirekt |
| PyPI | numpydoc | — | indirekt |
| PyPI | numpydoc | 1.10.0 | indirekt |
| PyPI | optype | 0.17.1 | indirekt |
| PyPI | overrides | 7.7.0 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pandoc | — | indirekt |
| PyPI | pandoc | 2.4 | indirekt |
| PyPI | pandocfilters | 1.5.1 | indirekt |
| PyPI | parso | 0.8.7 | indirekt |
| PyPI | pathspec | 1.1.1 | indirekt |
| PyPI | patsy | 1.0.2 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pillow | 12.3.0 | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | plumbum | 2.0.1 | indirekt |
| PyPI | ply | 3.11 | indirekt |
| PyPI | pre-commit | 4.6.0 | indirekt |
| PyPI | prometheus-client | 0.25.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
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{
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{
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{
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{
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{
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"reason": "license file detected",
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{
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{
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{
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},
{
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"source": {
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{
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{
"key": "openssf_scorecard_maintained",
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},
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"key": "release_discipline",
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{
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],
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{
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{
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{
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{
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{
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{
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],
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},
{
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}
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}
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{
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{
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]
},
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}
],
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{
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{
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]
},
{
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}
],
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{
"key": "verified_domain",
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{
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"login": "mbk-dev"
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},
{
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"points": 20,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 13
}
},
{
"code": "account_age_years",
"params": {
"years": 5
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}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"okama"
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"ecosystems": "pypi",
"any_deprecated": false,
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"components": [
{
"key": "published_resolvable",
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"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
"max_points": 25
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{
"key": "publish_recency",
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"details": [
{
"code": "publish_recency",
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"days": 4
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}
],
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{
"key": "version_history",
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"code": "published_versions",
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"count": 50
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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}
],
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}
]
}
],
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},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
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"weight": 0.2,
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"notes": [
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"code": "excluded_no_data",
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},
{
"code": "weights_renormalized",
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],
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"inputs": {
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"components": [
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"details": [
{
"code": "ci_workflows",
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}
}
],
"max_points": 24
},
{
"key": "tests_present",
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"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",
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"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
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"status": "missed",
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{
"key": "openssf_scorecard_ci_tests",
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"status": "excluded",
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"code": "no_data",
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}
],
"max_points": 20
}
]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
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"investments",
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"python",
"optimization",
"portfolio-optimization",
"quantitative-finance",
"historical-data",
"portfolio",
"financial-data",
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"markowitz",
"modern-portfolio-theory"
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"has_docs_dir": true,
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"components": [
{
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"status": "met",
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{
"key": "documentation_directory",
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{
"key": "documentation_homepage_site",
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{
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{
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}
]
}
],
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{
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"notes": [
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{
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"source": "openssf_scorecard",
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"components": [
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{
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{
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],
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{
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{
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{
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"status": "partial",
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},
{
"key": "dangerous_workflow",
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"detail": "no workflows found",
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"status": "excluded",
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"code": "no_data",
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],
"max_points": 10
},
{
"key": "dependency_update_tool",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
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"status": "missed",
"details": [],
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "maintained",
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"points": 7.5,
"status": "met",
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},
{
"key": "packaging",
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{
"code": "no_data",
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}
],
"max_points": 5
},
{
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "sast",
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"status": "missed",
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},
{
"key": "security_policy",
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"status": "missed",
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},
{
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
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{
"code": "no_data",
"params": {}
}
],
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},
{
"key": "vulnerabilities",
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 20,
"inputs": {
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"red_flag": true,
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"role": "owner",
"count": 1,
"country": "Russia"
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{
"role": "top_contributor",
"count": 1,
"country": "Russia"
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],
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"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": "Russia: owner (1); Russia: top_contributor (1)",
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"status": "partial",
"details": [
{
"code": "jurisdiction_exposure",
"params": {
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},
{
"code": "jurisdiction_exposure_next",
"params": {
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"country": "Russia"
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}
],
"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": "moderate",
"name": "AI Readiness",
"value": 65,
"weight": 0,
"metrics": [
{
"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": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 75,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [
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"agent_instruction_max_bytes": 9836
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
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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": [],
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},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
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"notes": [
{
"code": "excluded_no_data",
"params": {
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 71,
"inputs": {
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"has_tests": true,
"lockfiles": [],
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"toolchain_manifests": [],
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},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
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"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
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}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
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"points": 22,
"status": "met",
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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."
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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 v0.14.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.