Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.18.0 · Metriken 1.13.0 · 2026-07-21 13:39 UTC
TradeInsight-Info / TiPortfolio
Yet another portfolio management / asset allocation optimisation python library for quants, intitutes and retrail traders.
TradeInsight-Info/TiPortfolio erreicht einen Gesundheitsindex von 57 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (79/100) ab, am schwächsten bei Community & Adoption (31/100). Zuletzt vor 9 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
57
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.
57
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.
Eigentümerschaft
TradeInsight.InfoOrganisation
8 Follower24 öffentliche Reposseit Dez. 2024
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 | tiportfolio | 1.4.1 | - | 8 | vor 9 Tagen | algorithm-tradingbacktestingportfolio-optimization |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
79
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 9 Tagen |
| 13.2/36 | Commit-Rhythmus — 19/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 265 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 265 |
| human_commit_share | — |
| days_since_last_push | 9 |
| active_weeks_last_year | 19 |
Release-Disziplin
92Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 3 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 9 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 48,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 3 |
| latest_release_tag | v1.4.0 |
| releases_from_tags | nein |
| days_since_latest_release | 9 |
| mean_days_between_releases | 48,9 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
31
Popularität & Verbreitung
14Kritisch
Wie die Bewertung erfolgt
| 13.7/60 | Stars — 8 Stars |
| 0/25 | Forks — 1 Forks |
| 0/15 | Watcher — 0 Watcher |
Verwendete Eingangsdaten
| forks | 1 |
| stars | 8 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | below_threshold |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
50
Maintainer-Resilienz (Bus-Faktor)
13Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 0/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits |
| 1.4/13.5 | Breite der Beitragenden — 1 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Wie die Bewertung erfolgt
| 46.8/46.8 | Issue-Lösungsquote — 100 % der Issues geschlossen |
| 7.7/38.3 | PR-Annahme — 1/5 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 1 |
| open_issues | 0 |
| closed_issues | 1 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 4 |
Eigentümerschaft & Trägerschaft
50Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 6.9/25 | Reichweite des Inhabers — 8 Follower von TradeInsight-Info |
| 13.4/25 | Kontohistorie — 24 öffentliche Repos, Kontoalter ca. 1 Jahre |
Verwendete Eingangsdaten
| followers | 8 |
| owner_type | Organization |
| is_verified | — |
| owner_login | TradeInsight-Info |
| public_repos | 24 |
| account_age_days | 589 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 9 Tagen |
| 20/20 | Versionshistorie — 8 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | tiportfolio |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 9 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
72
Engineering-Praktiken
60Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | 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 | nein |
| has_precommit_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://tiportfolio.tradeinsight.info/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | asset-management, backtesting, data-science, fintech, portfolio-management, quantitative-finance |
| has_wiki | nein |
| homepage | https://tiportfolio.tradeinsight.info/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
48
Sicherheitslage
43Gefährdet
Wie 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 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 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 — 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 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 — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 70 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,3 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
68Mittel
Wie die Bewertung erfolgt
| 13.8/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 2 betroffen: click 8.3.1 (high 7.2), diskcache 5.6.3 (moderate) |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 37.2/40 | Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 159 Tagen veröffentlicht |
Verwendete Eingangsdaten
| source | osv |
| advisories | 131 |
| affected_packages | 20 |
| assessed_packages | 209 |
| unassessed_packages | 0 |
| affected_by_severity | critical 3, high 8, moderate 8, low 1 |
| direct_affected_packages | 2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories. Die verbleibenden Gewichte wurden renormalisiert. 209 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.
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.
70
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — 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 | CLAUDE.md |
| agent_instruction_max_bytes | 1.757 |
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 — Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — src/tiportfolio/py.typed |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | src/tiportfolio/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/tiportfolio/py.typed) |
| 55/55 | Handhabbare Dateigrößen — 0/69 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 25.759 |
| source_files_sampled | 69 |
| oversized_source_files | 0 |
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
8GitHub-Sterne
1Mitwirkende
265Commits, letzte 12 Monate
9Tage seit letztem Push
3Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- deps.dev does not index pypi:tiportfolio@1.4.1; advisories assessed against the repository dependency graph instead
Weitere Details
Stern- und Fork-Verlauf 8 ★ / 1 ⇿
8Sterne
1Forks
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
OpenSSF Scorecard 4.3 / 10
4.3Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 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 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 70 existing vulnerabilities detected |
Direkte Abhängigkeiten 12
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | alpaca-py | >=0.43.2 | pyproject.toml |
| PyPI | diskcache | >=5.6.3 | pyproject.toml |
| PyPI | joblib | >=1.5.2 | pyproject.toml |
| PyPI | matplotlib | >=3.10.8 | pyproject.toml |
| PyPI | numpy | >=2.2.6 | pyproject.toml |
| PyPI | pandas | >=2.3.3 | pyproject.toml |
| PyPI | pandas-market-calendars | >=5.1.3 | pyproject.toml |
| PyPI | progressbar | >=2.5 | pyproject.toml |
| PyPI | tidata | >=0.2.0 | pyproject.toml |
| PyPI | tqdm | >=4.67.1 | pyproject.toml |
| PyPI | yfinance | >=0.2.66 | pyproject.toml |
| PyPI | click | >=8.0 | pyproject.toml |
Alle Abhängigkeiten 209
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 14 direkte und 195 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | alpaca-py | 0.43.2 | direkt |
| PyPI | click | 8.3.1 | direkt |
| PyPI | diskcache | 5.6.3 | direkt |
| PyPI | joblib | 1.5.3 | direkt |
| PyPI | matplotlib | 3.10.8 | direkt |
| PyPI | numpy | 2.2.6 | direkt |
| PyPI | numpy | 2.4.2 | direkt |
| PyPI | pandas | 2.3.3 | direkt |
| PyPI | pandas | 3.0.1 | direkt |
| PyPI | pandas-market-calendars | 5.3.0 | direkt |
| PyPI | progressbar | 2.5 | direkt |
| PyPI | tidata | 0.2.0 | direkt |
| PyPI | tqdm | 4.67.3 | direkt |
| PyPI | yfinance | 1.2.0 | direkt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.12.1 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | arch | 8.0.0 | indirekt |
| PyPI | argon2-cffi | 25.1.0 | indirekt |
| PyPI | argon2-cffi-bindings | 25.1.0 | indirekt |
| PyPI | arrow | 1.4.0 | indirekt |
| PyPI | astropy | 6.1.7 | indirekt |
| PyPI | astropy | 7.2.0 | indirekt |
| PyPI | astropy-iers-data | 0.2026.3.2.0.47.4 | indirekt |
| PyPI | asttokens | 3.0.1 | indirekt |
| PyPI | async-lru | 2.2.0 | indirekt |
| PyPI | attrs | 25.4.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | backrefs | 6.2 | indirekt |
| PyPI | beautifulsoup4 | 4.14.3 | indirekt |
| PyPI | bleach | 6.3.0 | indirekt |
| PyPI | certifi | 2026.2.25 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | charset-normalizer | 3.4.4 | indirekt |
| PyPI | choreographer | 1.2.1 | indirekt |
| PyPI | clarabel | 0.11.1 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | contourpy | 1.3.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | curl-cffi | 0.13.0 | indirekt |
| PyPI | cvxpy | 1.7.5 | indirekt |
| PyPI | cvxpy | 1.8.1 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | dateparser | 1.3.0 | indirekt |
| PyPI | debugpy | 1.8.20 | indirekt |
| PyPI | decorator | 5.2.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | dill | 0.4.1 | indirekt |
| PyPI | editorconfig | 0.17.1 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | exchange-calendars | 4.13.1 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | fonttools | 4.61.1 | indirekt |
| PyPI | fqdn | 1.5.1 | indirekt |
| PyPI | frozendict | 2.4.7 | indirekt |
| PyPI | ghp-import | 2.1.0 | indirekt |
| PyPI | griffelib | 2.0.1 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | highspy | 1.13.1 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | idna | 3.11 | indirekt |
| PyPI | imageio | 2.37.2 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | ipykernel | 7.2.0 | indirekt |
| PyPI | ipython | 8.38.0 | indirekt |
| PyPI | ipython | 9.10.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | ipywidgets | 8.1.8 | indirekt |
| PyPI | isoduration | 20.11.0 | indirekt |
| PyPI | jedi | 0.19.2 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jsbeautifier | 1.15.4 | indirekt |
| PyPI | json5 | 0.13.0 | indirekt |
| PyPI | jsonpointer | 3.0.0 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter-client | 8.8.0 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | jupyter-events | 0.12.0 | indirekt |
| PyPI | jupyter-lsp | 2.3.0 | indirekt |
| PyPI | jupyter-server | 2.17.0 | indirekt |
| PyPI | jupyter-server-terminals | 0.5.4 | indirekt |
| PyPI | jupyterlab | 4.5.5 | indirekt |
| PyPI | jupyterlab-pygments | 0.3.0 | indirekt |
| PyPI | jupyterlab-server | 2.28.0 | indirekt |
| PyPI | jupyterlab-widgets | 3.0.16 | indirekt |
| PyPI | kaleido | 1.2.0 | indirekt |
| PyPI | kiwisolver | 1.4.9 | indirekt |
| PyPI | korean-lunar-calendar | 0.3.1 | indirekt |
| PyPI | lark | 1.3.1 | indirekt |
| PyPI | llvmlite | 0.46.0 | indirekt |
| PyPI | logistro | 2.0.1 | indirekt |
| PyPI | markdown | 3.10.2 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib-inline | 0.2.1 | indirekt |
| PyPI | mergedeep | 1.3.4 | indirekt |
| PyPI | mistune | 3.2.0 | indirekt |
| PyPI | mkdocs | 1.6.1 | indirekt |
| PyPI | mkdocs-autorefs | 1.4.4 | indirekt |
| PyPI | mkdocs-get-deps | 0.2.2 | indirekt |
| PyPI | mkdocs-material | 9.7.6 | indirekt |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirekt |
| PyPI | mkdocs-mermaid2-plugin | 1.2.3 | indirekt |
| PyPI | mkdocstrings | 1.0.3 | indirekt |
| PyPI | mkdocstrings-python | 2.0.3 | indirekt |
| PyPI | msgpack | 1.1.2 | indirekt |
| PyPI | multitasking | 0.0.12 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | narwhals | 2.17.0 | indirekt |
| PyPI | nbclient | 0.10.4 | indirekt |
| PyPI | nbconvert | 7.17.0 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | nest-asyncio | 1.6.0 | indirekt |
| PyPI | networkx | 3.4.2 | indirekt |
| PyPI | networkx | 3.6.1 | indirekt |
| PyPI | notebook | 7.5.4 | indirekt |
| PyPI | notebook-shim | 0.2.4 | indirekt |
| PyPI | numba | 0.64.0 | indirekt |
| PyPI | orjson | 3.11.8 | indirekt |
| PyPI | osqp | 1.1.1 | indirekt |
| PyPI | overrides | 7.7.0 | indirekt |
| PyPI | packaging | 26.0 | indirekt |
| PyPI | paginate | 0.5.7 | indirekt |
| PyPI | pandas-stubs | 2.3.2.250926 | indirekt |
| PyPI | pandocfilters | 1.5.1 | indirekt |
| PyPI | parso | 0.8.6 | indirekt |
| PyPI | pathspec | 1.0.4 | indirekt |
| PyPI | patsy | 1.0.2 | indirekt |
| PyPI | peewee | 4.0.1 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pillow | 12.1.1 | indirekt |
| PyPI | platformdirs | 4.9.2 | indirekt |
| PyPI | plotly | 6.5.2 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | prometheus-client | 0.24.1 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | protobuf | 7.34.0 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pybind11 | 3.0.2 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic | 2.12.5 | indirekt |
| PyPI | pydantic-core | 2.41.5 | indirekt |
| PyPI | pyerfa | 2.0.1.5 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pyluach | 2.3.0 | indirekt |
| PyPI | pymdown-extensions | 10.21 | indirekt |
| PyPI | pyparsing | 3.3.2 | indirekt |
| PyPI | pytest | 9.0.2 | indirekt |
| PyPI | pytest-timeout | 2.4.0 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-dotenv | 1.2.2 | indirekt |
| PyPI | python-json-logger | 4.0.0 | indirekt |
| PyPI | pytz | 2025.2 | indirekt |
| PyPI | pywinpty | 3.0.3 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyyaml-env-tag | 1.1 | indirekt |
| PyPI | pyzmq | 27.1.0 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | regex | 2026.2.28 | indirekt |
| PyPI | requests | 2.32.5 | indirekt |
| PyPI | rfc3339-validator | 0.1.4 | indirekt |
| PyPI | rfc3986-validator | 0.1.1 | indirekt |
| PyPI | rfc3987-syntax | 1.1.0 | indirekt |
| PyPI | riskfolio-lib | 7.0.1 | indirekt |
| PyPI | riskfolio-lib | 7.2.1 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | schedule | 1.2.2 | indirekt |
| PyPI | scikit-learn | 1.7.2 | indirekt |
| PyPI | scikit-learn | 1.8.0 | indirekt |
| PyPI | scipy | 1.15.3 | indirekt |
| PyPI | scipy | 1.17.1 | indirekt |
| PyPI | scs | 3.2.11 | indirekt |
| PyPI | send2trash | 2.1.0 | indirekt |
| PyPI | setuptools | 82.0.0 | indirekt |
| PyPI | simplejson | 3.20.2 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | soupsieve | 2.8.3 | indirekt |
| PyPI | sseclient-py | 1.9.0 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | statsmodels | 0.14.6 | indirekt |
| PyPI | terminado | 0.18.1 | indirekt |
| PyPI | threadpoolctl | 3.6.0 | indirekt |
| PyPI | tinycss2 | 1.4.0 | indirekt |
| PyPI | tiportfolio | 1.4.1 | indirekt |
| PyPI | tomli | 2.4.0 | indirekt |
| PyPI | toolz | 1.1.0 | indirekt |
| PyPI | tornado | 6.5.4 | indirekt |
| PyPI | traitlets | 5.14.3 | indirekt |
| PyPI | types-pytz | 2025.2.0.20251108 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2025.3 | indirekt |
| PyPI | tzlocal | 5.3.1 | indirekt |
| PyPI | uri-template | 1.3.0 | indirekt |
| PyPI | urllib3 | 2.6.3 | indirekt |
| PyPI | vectorbt | 0.28.2 | indirekt |
| PyPI | watchdog | 6.0.0 | indirekt |
| PyPI | wcwidth | 0.6.0 | indirekt |
| PyPI | webcolors | 25.10.0 | indirekt |
| PyPI | webencodings | 0.5.1 | indirekt |
| PyPI | websocket-client | 1.9.0 | indirekt |
| PyPI | websockets | 16.0 | indirekt |
| PyPI | widgetsnbextension | 4.0.15 | indirekt |
| PyPI | xlsxwriter | 3.2.9 | indirekt |
Abhängigkeits-Advisories 20
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 209 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 20 tragen bekannte Advisories, davon 2 direkte.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| jupyterlab | 4.5.5 | indirekt | kritisch | 7 | 7.5.6 |
| notebook | 7.5.4 | indirekt | kritisch | 4 | 7.5.6 |
| pillow | 12.1.1 | indirekt | kritisch | 31 | 12.3.0 |
| click | 8.3.1 | direkt | hoch | 1 | 8.3.3 |
| curl-cffi | 0.13.0 | indirekt | hoch | 2 | 0.15.0 |
| jupyter-server | 2.17.0 | indirekt | hoch | 13 | 2.20.0 |
| mistune | 3.2.0 | indirekt | hoch | 32 | 3.3.0 |
| msgpack | 1.1.2 | indirekt | hoch | 1 | 1.2.1 |
| soupsieve | 2.8.3 | indirekt | hoch | 4 | 2.8.4 |
| tornado | 6.5.4 | indirekt | hoch | 12 | 6.5.7 |
| urllib3 | 2.6.3 | indirekt | hoch | 4 | 2.7.0 |
| diskcache | 5.6.3 | direkt | mittel | 2 | — |
| bleach | 6.3.0 | indirekt | mittel | 3 | 6.4.0 |
| idna | 3.11 | indirekt | mittel | 2 | 3.15 |
| nbconvert | 7.17.0 | indirekt | mittel | 4 | 7.17.1 |
| pymdown-extensions | 10.21 | indirekt | mittel | 2 | 10.21.3 |
| pytest | 9.0.2 | indirekt | mittel | 2 | 9.0.3 |
| requests | 2.32.5 | indirekt | mittel | 2 | 2.33.0 |
| setuptools | 82.0.0 | indirekt | mittel | 1 | 83.0.0 |
| pygments | 2.19.2 | indirekt | niedrig | 2 | 2.20.0 |
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
{
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"asset-management",
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"data-science",
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"is_fork": false,
"size_kb": 18193,
"has_wiki": false,
"homepage": "https://tiportfolio.tradeinsight.info/",
"languages": {
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"Makefile": 563,
"Jupyter Notebook": 5060
},
"pushed_at": "2026-07-12T08:57:07Z",
"created_at": "2025-11-15T06:06:35Z",
"owner_type": "Organization",
"updated_at": "2026-07-12T08:57:10Z",
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"followers": 8,
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"created_at": "2024-12-09T09:39:37Z",
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"license": {
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{
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"exists": true,
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],
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"matches_repo": true,
"registry_url": "https://pypi.org/project/tiportfolio/",
"is_deprecated": false,
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"repository_url": "https://github.com/TradeInsight-Info/TiPortfolio",
"versions_count": 8,
"total_downloads": null,
"dependents_count": null,
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"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2026-04-03T08:46:03.222369Z",
"latest_published_at": "2026-07-12T08:57:18.929865Z",
"latest_version_yanked": null,
"days_since_latest_publish": 9
}
]
},
"popularity": {
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],
"complete": true,
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},
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},
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},
{
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},
{
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"count": 2
},
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},
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}
],
"complete": true,
"collected": 8,
"total_stars": 8
},
"open_issues_and_prs": 1
},
"ai_readiness": {
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"example_dirs": [
"examples",
"notebooks"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": false,
"bootstrap_files": [
"Makefile"
],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [
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],
"largest_source_bytes": 25759,
"source_files_sampled": 69,
"oversized_source_files": 0,
"agent_instruction_files": [
"CLAUDE.md"
],
"agent_instruction_max_bytes": 1757
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"advisories": {
"error": null,
"scope": "repository_graph",
"source": "osv",
"findings": [
{
"name": "jupyterlab",
"direct": false,
"version": "4.5.5",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.6,
"advisory_ids": [
"GHSA-37w4-hwhx-4rc4",
"GHSA-mqcg-5x36-vfcg",
"GHSA-rch3-82jr-f9w9",
"GHSA-vmhf-c436-hxj4",
"PYSEC-2026-164",
"PYSEC-2026-2537",
"PYSEC-2026-2538"
],
"fixed_version": "7.5.6",
"advisory_count": 7,
"oldest_advisory_days": 81
},
{
"name": "notebook",
"direct": false,
"version": "7.5.4",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.6,
"advisory_ids": [
"GHSA-mqcg-5x36-vfcg",
"GHSA-rch3-82jr-f9w9",
"PYSEC-2026-2681",
"PYSEC-2026-2682"
],
"fixed_version": "7.5.6",
"advisory_count": 4,
"oldest_advisory_days": 81
},
{
"name": "pillow",
"direct": false,
"version": "12.1.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.1,
"advisory_ids": [
"GHSA-45hq-cxwh-f6vc",
"GHSA-4x4j-2g7c-83w6",
"GHSA-5x94-69rx-g8h2",
"GHSA-5xmw-vc9v-4wf2",
"GHSA-62p4-gmf7-7g93",
"GHSA-6r8x-57c9-28j4",
"GHSA-8v84-f9pq-wr9x",
"GHSA-9hw9-ch79-4vh6",
"GHSA-fj7v-r99m-22gq",
"GHSA-jjj6-mw9f-p565"
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"oldest_advisory_days": 98
},
{
"name": "click",
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"version": "8.3.1",
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},
{
"name": "curl-cffi",
"direct": false,
"version": "0.13.0",
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"advisory_ids": [
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"GHSA-5789-5fc7-67v3",
"GHSA-5mrq-x3x5-8v8f",
"GHSA-fcw5-x6j4-ccmp",
"GHSA-gf7q-q4j7-hp7c",
"GHSA-qh7q-6qm3-653w",
"GHSA-v42x-x7jp-845h",
"PYSEC-2026-2187",
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],
"fixed_version": "2.20.0",
"advisory_count": 13,
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},
{
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"advisory_ids": [
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"GHSA-8c25-4j27-2rv3",
"GHSA-8g87-j6q8-g93x",
"GHSA-8mp2-v27r-99xp",
"GHSA-8mpj-m6qm-5qr8",
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"advisory_count": 32,
"oldest_advisory_days": 75
},
{
"name": "msgpack",
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"version": "1.1.2",
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"cvss_score": 7.5,
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},
{
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{
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{
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{
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"points": 1.4,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 1
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 3,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "moderate",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 54,
"inputs": {
"merged_prs": 1,
"open_issues": 0,
"closed_issues": 1,
"issue_closed_ratio": 1,
"closed_unmerged_prs": 4
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "100% of issues closed",
"points": 46.8,
"status": "met",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 100
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "1/5 decided PRs merged",
"points": 7.7,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 1,
"decided": 5
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "moderate",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 50,
"inputs": {
"followers": 8,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "TradeInsight-Info",
"public_repos": 24,
"account_age_days": 589
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"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": "8 followers of TradeInsight-Info",
"points": 6.9,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 8,
"login": "TradeInsight-Info"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "24 public repos, account ~1 yr old",
"points": 13.4,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 24
}
},
{
"code": "account_age_years",
"params": {
"years": 1
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"tiportfolio"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 9
},
"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"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 9 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 9
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "8 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 8
}
}
],
"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": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "good",
"name": "Engineering Quality",
"value": 72,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
"name": "Engineering practices",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_ci_tests"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 60,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": false,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "3 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 3
}
}
],
"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": 0,
"status": "missed",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"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": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [
"asset-management",
"backtesting",
"data-science",
"fintech",
"portfolio-management",
"quantitative-finance"
],
"has_wiki": false,
"homepage": "https://tiportfolio.tradeinsight.info/",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"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://tiportfolio.tradeinsight.info/",
"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": [
{
"code": "topics_count",
"params": {
"count": 6
}
}
],
"max_points": 10
},
{
"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": "at_risk",
"name": "Security",
"value": 48,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"ci_tests",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 43,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 4.3
},
"components": [
{
"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": "branch protection not enabled on development/release branches",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"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": "12 commit(s) and 0 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 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "no SAST tool detected",
"points": 0,
"status": "missed",
"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": [
{
"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": "70 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "moderate",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 209 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 209
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 68,
"inputs": {
"source": "osv",
"advisories": 131,
"affected_packages": 20,
"assessed_packages": 209,
"unassessed_packages": 0,
"affected_by_severity": "critical 3, high 8, moderate 8, low 1",
"direct_affected_packages": 2
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "2 affected: click 8.3.1 (high 7.2), diskcache 5.6.3 (moderate)",
"points": 13.8,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 2,
"packages": "click 8.3.1 (high 7.2), diskcache 5.6.3 (moderate)"
}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 159 days ago",
"points": 37.2,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
"days": 90,
"count": 1,
"oldest": 159
}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 209,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"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"
],
"review_only_matches": 0,
"assessed_self_published_locations": 3
},
"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": "good",
"name": "AI Readiness",
"value": 70,
"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": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"CLAUDE.md"
],
"agent_instruction_max_bytes": 1757
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "CLAUDE.md"
}
}
],
"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. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 73,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [
"src/tiportfolio/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"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": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "src/tiportfolio/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "src/tiportfolio/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 25759,
"source_files_sampled": 69,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (src/tiportfolio/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "src/tiportfolio/py.typed",
"language": "Python"
}
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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 v0.18.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.