Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-18 07:07 UTC
JerBouma / FundamentalAnalysis
Transparent and Efficient Financial Analysis
JerBouma/FundamentalAnalysis erreicht einen Gesundheitsindex von 71 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (86/100) ab, am schwächsten bei AI Readiness (35/100). Zuletzt vor 1 Tag aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
71
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.
71
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
Jeroen BoumaPersönliches Konto
1.501 Follower14 öffentliche Reposseit Jan. 2019Quantitative Investment Strategist at a.s.r. asset management
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | financetoolkit | 2.1.4 | - | 71 | vor 3 Tagen | analysiscommoditiescurrenciesdatabaseetfseconomicsequitiesfinancefinancialfundamentalfundsindicesmoneymarketsoptionsquantitativetechnicaltoolkit |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
79
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 1 Tagen |
| 13.2/36 | Commit-Rhythmus — 19/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 287 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 287 |
| human_commit_share | — |
| days_since_last_push | 1 |
| active_weeks_last_year | 19 |
Release-Disziplin
83Gut
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 49 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 3 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 51,3 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 49 |
| latest_release_tag | v2.1.4 |
| releases_from_tags | nein |
| days_since_latest_release | 3 |
| mean_days_between_releases | 51,3 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
83
Popularität & Verbreitung
94Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 5.122 Stars |
| 23.1/25 | Forks — 588 Forks |
| 10.5/15 | Watcher — 77 Watcher |
Verwendete Eingangsdaten
| forks | 588 |
| stars | 5.122 |
| watchers | 77 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | 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 | ja |
| 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?
62
Maintainer-Resilienz (Bus-Faktor)
27Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 1.1/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 95 % der Commits |
| 10.8/13.5 | Breite der Beitragenden — 8 Beitragende |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 8 |
| top_contributor_share | 0,949 |
Wie die Bewertung erfolgt
| 46.3/46.8 | Issue-Lösungsquote — 99 % der Issues geschlossen |
| 23.1/38.3 | PR-Annahme — 49/81 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/2 approved changesets -- score normalized to 0 |
Verwendete Eingangsdaten
| merged_prs | 49 |
| open_issues | 1 |
| closed_issues | 105 |
| issue_closed_ratio | 0,991 |
| closed_unmerged_prs | 32 |
Eigentümerschaft & Trägerschaft
67Mittel
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 22.8/25 | Reichweite des Inhabers — 1.501 Follower von JerBouma |
| 20.6/25 | Kontohistorie — 14 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 1.501 |
| owner_type | User |
| is_verified | — |
| owner_login | JerBouma |
| public_repos | 14 |
| account_age_days | 2.752 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 3 Tagen |
| 20/20 | Versionshistorie — 71 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | financetoolkit |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 3 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
86
Engineering-Praktiken
94Exzellent
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 |
| 20/20 | OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.jeroenbouma.com/projects/financetoolkit |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 20 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | financial-statements, stock-data, fundamental-analysis, fundamentals, sector-analysis, finance, equities, financial-analysis, market-data, performance-analysis, risk-management, technical-analysis, factor-analysis, financial-data, mcp-server, algorithmic-trading, python, quantitative-analysis, quantitative-finance, valuation |
| has_wiki | ja |
| homepage | https://www.jeroenbouma.com/projects/financetoolkit |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
42
Sicherheitslage
42Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/2 approved changesets -- score normalized to 0 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 27 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,2 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging. 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.
35
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 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 | — |
| agent_instruction_max_bytes | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 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 | ja |
| typed_language | nein |
| bootstrap_files | — |
| 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. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
51Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 50.8/55 | Handhabbare Dateigrößen — 12/157 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 392.695 |
| source_files_sampled | 157 |
| oversized_source_files | 12 |
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
5.122GitHub-Sterne
8Mitwirkende
287Commits, letzte 12 Monate
1Tage seit letztem Push
49Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 4.2 / 10
4.2Gesamtwert
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 |
| k. A. | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/2 approved changesets -- score normalized to 0 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 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 | 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 27 existing vulnerabilities detected |
Direkte Abhängigkeiten 5
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | pandas | >=2.2 | pyproject.toml |
| PyPI | scikit-learn | >=1.6 | pyproject.toml |
| PyPI | requests | >=2.32 | pyproject.toml |
| PyPI | yfinance | — | pyproject.toml |
| PyPI | openpyxl | >=3.1 | pyproject.toml |
Alle Abhängigkeiten 158
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 5 direkte und 153 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | openpyxl | 3.1.5 | direkt |
| PyPI | pandas | 2.3.3 | direkt |
| PyPI | requests | 2.32.5 | direkt |
| PyPI | scikit-learn | 1.7.2 | direkt |
| PyPI | yfinance | 0.2.66 | direkt |
| PyPI | aiofile | 3.11.1 | indirekt |
| PyPI | aiofile | 3.9.0 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.13.0 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | asttokens | 3.0.0 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | authlib | 1.7.2 | indirekt |
| PyPI | backports-tarfile | 1.2.0 | indirekt |
| PyPI | beartype | 0.22.9 | indirekt |
| PyPI | beautifulsoup4 | 4.14.2 | indirekt |
| PyPI | black | 26.3.1 | indirekt |
| PyPI | cachetools | 7.1.4 | indirekt |
| PyPI | caio | 0.9.25 | indirekt |
| PyPI | certifi | 2025.8.3 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | charset-normalizer | 3.4.3 | indirekt |
| PyPI | click | 8.3.0 | indirekt |
| PyPI | codespell | 2.4.1 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | coverage | 7.10.7 | indirekt |
| PyPI | cryptography | 46.0.7 | indirekt |
| PyPI | curl-cffi | 0.13.0 | indirekt |
| PyPI | cyclopts | 4.18.0 | indirekt |
| PyPI | debugpy | 1.8.17 | indirekt |
| PyPI | decorator | 5.2.1 | indirekt |
| PyPI | dnspython | 2.8.0 | indirekt |
| PyPI | docstring-parser | 0.18.0 | indirekt |
| PyPI | email-validator | 2.3.0 | indirekt |
| PyPI | et-xmlfile | 2.0.0 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastmcp | 3.4.2 | indirekt |
| PyPI | fastmcp-slim | 3.4.2 | indirekt |
| PyPI | financetoolkit | 2.1.4 | indirekt |
| PyPI | frozendict | 2.4.6 | indirekt |
| PyPI | griffelib | 2.1.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpcore2 | 2.5.0 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | httpx-sse | 0.4.3 | indirekt |
| PyPI | httpx2 | 2.5.0 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | importlib-metadata | 9.0.0 | indirekt |
| PyPI | iniconfig | 2.1.0 | indirekt |
| PyPI | ipykernel | 6.30.1 | indirekt |
| PyPI | ipython | 8.39.0 | indirekt |
| PyPI | ipython | 9.6.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | jaraco-classes | 3.4.0 | indirekt |
| PyPI | jaraco-context | 6.1.2 | indirekt |
| PyPI | jaraco-functools | 4.5.0 | indirekt |
| PyPI | jedi | 0.19.2 | indirekt |
| PyPI | jeepney | 0.9.0 | indirekt |
| PyPI | joblib | 1.5.2 | indirekt |
| PyPI | joserfc | 1.7.1 | indirekt |
| PyPI | jsonref | 1.1.0 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-path | 0.5.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter-client | 8.6.3 | indirekt |
| PyPI | jupyter-core | 5.8.1 | indirekt |
| PyPI | keyring | 25.7.0 | indirekt |
| PyPI | markdown-it-py | 4.0.0 | indirekt |
| PyPI | matplotlib-inline | 0.1.7 | indirekt |
| PyPI | mcp | 1.27.0 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | more-itertools | 11.1.0 | indirekt |
| PyPI | multidict | 6.6.4 | indirekt |
| PyPI | multitasking | 0.0.12 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | nest-asyncio | 1.6.0 | indirekt |
| PyPI | numpy | 2.2.6 | indirekt |
| PyPI | numpy | 2.3.3 | indirekt |
| PyPI | openapi-pydantic | 0.5.1 | indirekt |
| PyPI | opentelemetry-api | 1.42.1 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | parso | 0.8.5 | indirekt |
| PyPI | pathable | 0.6.0 | indirekt |
| PyPI | pathspec | 1.0.4 | indirekt |
| PyPI | peewee | 3.18.2 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | platformdirs | 4.4.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | propcache | 0.3.2 | indirekt |
| PyPI | protobuf | 6.33.5 | indirekt |
| PyPI | psutil | 7.1.0 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | py-key-value-aio | 0.4.5 | indirekt |
| PyPI | pycparser | 2.23 | indirekt |
| PyPI | pydantic | 2.13.2 | indirekt |
| PyPI | pydantic-core | 2.46.2 | indirekt |
| PyPI | pydantic-settings | 2.13.1 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pyjwt | 2.12.1 | indirekt |
| PyPI | pyperclip | 1.11.0 | indirekt |
| PyPI | pytest | 8.4.2 | indirekt |
| PyPI | pytest-cov | 7.0.0 | indirekt |
| PyPI | pytest-mock | 3.15.1 | indirekt |
| PyPI | pytest-recording | 0.13.4 | 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-multipart | 0.0.26 | indirekt |
| PyPI | pytokens | 0.4.1 | indirekt |
| PyPI | pytz | 2025.2 | indirekt |
| PyPI | pywin32 | 311 | indirekt |
| PyPI | pywin32-ctypes | 0.2.3 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyzmq | 27.1.0 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | rich-rst | 2.0.1 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | ruff | 0.13.2 | indirekt |
| PyPI | scipy | 1.15.3 | indirekt |
| PyPI | scipy | 1.16.2 | indirekt |
| PyPI | secretstorage | 3.5.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | soupsieve | 2.8.4 | indirekt |
| PyPI | sse-starlette | 3.3.4 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | starlette | 1.3.1 | indirekt |
| PyPI | tabulate | 0.10.0 | indirekt |
| PyPI | threadpoolctl | 3.6.0 | indirekt |
| PyPI | tokenize-rt | 6.2.0 | indirekt |
| PyPI | tomli | 2.2.1 | indirekt |
| PyPI | tornado | 6.5.5 | 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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{
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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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}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.12.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.