Öffentliches RegisterGefährdet
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-28 15:11 UTC
egg5154 / MolSculptor
egg5154/MolSculptor erreicht einen Gesundheitsindex von 42 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Vitality (62/100) ab, am schwächsten bei Security (21/100). Zuletzt vor 8 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
42
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.
42
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
Yanheng LiPersönliches Konto
4 Follower2 öffentliche Reposseit März 2019
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
62
Entwicklungsaktivität
48Gefährdet
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 8 Tagen |
| 4.8/36 | Commit-Rhythmus — 7/52 Wochen mit Commits |
| 9.7/18 | Commit-Volumen — 11 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — keine Daten |
Verwendete Eingangsdaten
| commits_last_year | 11 |
| human_commit_share | 1 |
| days_since_last_push | 8 |
| active_weeks_last_year | 7 |
Release-Disziplin
84Gut
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 1 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 8 Tagen |
| 12.6/27 | Release-Rhythmus — Rhythmus unbekannt (nur ein Release) |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 1 |
| latest_release_tag | v1.0.0 |
| releases_from_tags | nein |
| days_since_latest_release | 8 |
| mean_days_between_releases | — |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
35
Popularität & Verbreitung
22Kritisch
Wie die Bewertung erfolgt
| 22.1/60 | Stars — 24 Stars |
| 0/25 | Forks — 0 Forks |
| 0/15 | Watcher — 2 Watcher |
Verwendete Eingangsdaten
| forks | 0 |
| stars | 24 |
| watchers | 2 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
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?
51
Maintainer-Resilienz (Bus-Faktor)
22Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 7.9/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 65 % der Commits |
| 2.7/13.5 | Breite der Beitragenden — 2 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — keine Daten |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0,649 |
Reaktionsfähigkeit bei Issues & PRs
100Exzellent
Wie die Bewertung erfolgt
| 46.8/46.8 | Issue-Lösungsquote — 100 % der Issues geschlossen |
| 0/38.3 | PR-Annahme — keine entschiedenen Pull Requests oder keine Daten |
| 0/15 | OpenSSF Scorecard: Code-Review — keine Daten |
Verwendete Eingangsdaten
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 3 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): PR-Annahme. Die verbleibenden Gewichte wurden renormalisiert.
Eigentümerschaft & Trägerschaft
38Gefährdet
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 5/25 | Reichweite des Inhabers — 4 Follower von egg5154 |
| 15.5/25 | Kontohistorie — 2 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 4 |
| owner_type | User |
| is_verified | — |
| owner_login | egg5154 |
| public_repos | 2 |
| account_age_days | 2.704 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
34
Engineering-Praktiken
30Gefährdet
Wie die Bewertung erfolgt
| 0/24 | CI-Workflows |
| 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 | nein |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
40Gefährdet
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 0/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | nein |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
21
Sicherheitslage
1Kritisch
Wie die Bewertung erfolgt
| 0/30 | Sicherheitsrichtlinie (SECURITY.md) |
| 0/25 | Dependabot-Konfiguration |
| 0/25 | Lockfiles für Abhängigkeiten |
| 0/20 | CodeQL-Workflow |
Verwendete Eingangsdaten
| source | file_signals |
| lockfiles | — |
| manifests | requirements.txt |
| has_codeql_workflow | nein |
| has_security_policy | nein |
| has_dependabot_config | nein |
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 402 |
| affected_packages | 40 |
| assessed_packages | 245 |
| unassessed_packages | 0 |
| affected_by_severity | critical 9, high 17, moderate 13, low 1 |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 245 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.
24
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 — 0 von 37 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 37 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 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 | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Jupyter Notebook ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/42 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Jupyter Notebook |
| largest_source_bytes | 39.449 |
| source_files_sampled | 42 |
| 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 — notebooks |
Verwendete Eingangsdaten
| example_dirs | notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
24GitHub-Sterne
2Mitwirkende
11Commits, letzte 12 Monate
8Tage seit letztem Push
1Releases
1Bus-Faktor
0offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
Weitere Details
Alle Abhängigkeiten 245
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 245 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | absl-py | 2.1.0 | indirekt |
| PyPI | anyio | 4.3.0 | indirekt |
| PyPI | argon2-cffi | 23.1.0 | indirekt |
| PyPI | argon2-cffi-bindings | 21.2.0 | indirekt |
| PyPI | arrow | 1.3.0 | indirekt |
| PyPI | asttokens | 2.4.1 | indirekt |
| PyPI | astunparse | 1.6.3 | indirekt |
| PyPI | async-lru | 2.0.4 | indirekt |
| PyPI | attrs | 23.2.0 | indirekt |
| PyPI | babel | 2.15.0 | indirekt |
| PyPI | beautifulsoup4 | 4.12.3 | indirekt |
| PyPI | biopython | 1.84 | indirekt |
| PyPI | biopython | 1.85 | indirekt |
| PyPI | biotite | 0.40.0 | indirekt |
| PyPI | bleach | 6.1.0 | indirekt |
| PyPI | brokenaxes | 0.6.1 | indirekt |
| PyPI | certifi | 2024.2.2 | indirekt |
| PyPI | certifi | 2024.7.4 | indirekt |
| PyPI | cffi | 1.16.0 | indirekt |
| PyPI | charset-normalizer | 3.3.2 | indirekt |
| PyPI | chex | 0.1.86 | indirekt |
| PyPI | comm | 0.2.2 | indirekt |
| PyPI | conda-pack | 0.7.1 | indirekt |
| PyPI | contextlib2 | 21.6.0 | indirekt |
| PyPI | contourpy | 1.2.1 | indirekt |
| PyPI | cupy-cuda12x | 13.4.1 | indirekt |
| PyPI | cutensor-cu12 | 2.2.0 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | debugpy | 1.8.1 | indirekt |
| PyPI | decorator | 5.1.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | etils | 1.7.0 | indirekt |
| PyPI | evox | 0.9.0 | indirekt |
| PyPI | exceptiongroup | 1.2.1 | indirekt |
| PyPI | executing | 2.0.1 | indirekt |
| PyPI | fair-esm | 2.0.0 | indirekt |
| PyPI | fastjsonschema | 2.19.1 | indirekt |
| PyPI | fastrlock | 0.8.3 | indirekt |
| PyPI | filelock | 3.14.0 | indirekt |
| PyPI | filelock | 3.15.4 | indirekt |
| PyPI | flatbuffers | 25.2.10 | indirekt |
| PyPI | flax | 0.8.3 | indirekt |
| PyPI | fonttools | 4.51.0 | indirekt |
| PyPI | fonttools | 4.53.1 | indirekt |
| PyPI | fqdn | 1.5.1 | indirekt |
| PyPI | fsspec | 2024.5.0 | indirekt |
| PyPI | fsspec | 2024.6.1 | indirekt |
| PyPI | gast | 0.6.0 | indirekt |
| PyPI | gemmi | 0.7.3 | indirekt |
| PyPI | google-pasta | 0.2.0 | indirekt |
| PyPI | grpcio | 1.74.0 | indirekt |
| PyPI | h11 | 0.14.0 | indirekt |
| PyPI | h5py | 3.13.0 | indirekt |
| PyPI | hf-xet | 1.1.9 | indirekt |
| PyPI | httpcore | 1.0.5 | indirekt |
| PyPI | httpx | 0.27.0 | indirekt |
| PyPI | huggingface-hub | 0.23.2 | indirekt |
| PyPI | huggingface-hub | 0.34.4 | indirekt |
| PyPI | idna | 3.7 | indirekt |
| PyPI | importlib-resources | 6.4.0 | indirekt |
| PyPI | importlib-resources | 6.4.3 | indirekt |
| PyPI | ipykernel | 6.29.4 | indirekt |
| PyPI | ipython | 8.24.0 | indirekt |
| PyPI | ipywidgets | 8.1.2 | indirekt |
| PyPI | isoduration | 20.11.0 | indirekt |
| PyPI | jax | 0.4.28 | indirekt |
| PyPI | jax-cuda12-pjrt | 0.4.28 | indirekt |
| PyPI | jax-cuda12-plugin | 0.4.28 | indirekt |
| PyPI | jaxlib | 0.4.28 | indirekt |
| PyPI | jedi | 0.19.1 | indirekt |
| PyPI | jinja2 | 3.1.4 | indirekt |
| PyPI | joblib | 1.5.1 | indirekt |
| PyPI | json5 | 0.9.25 | indirekt |
| PyPI | jsonpointer | 2.4 | indirekt |
| PyPI | jsonschema | 4.22.0 | indirekt |
| PyPI | jsonschema-specifications | 2023.12.1 | indirekt |
| PyPI | jupyter | 1.0.0 | indirekt |
| PyPI | jupyter-client | 8.6.1 | indirekt |
| PyPI | jupyter-console | 6.6.3 | indirekt |
| PyPI | jupyter-core | 5.7.2 | indirekt |
| PyPI | jupyter-events | 0.10.0 | indirekt |
| PyPI | jupyter-lsp | 2.2.5 | indirekt |
| PyPI | jupyter-server | 2.14.0 | indirekt |
| PyPI | jupyter-server-terminals | 0.5.3 | indirekt |
| PyPI | jupyterlab | 4.1.8 | indirekt |
| PyPI | jupyterlab-pygments | 0.3.0 | indirekt |
| PyPI | jupyterlab-server | 2.27.1 | indirekt |
| PyPI | jupyterlab-widgets | 3.0.10 | indirekt |
| PyPI | keras | 3.11.0 | indirekt |
| PyPI | kiwisolver | 1.4.5 | indirekt |
| PyPI | levenshtein | 0.25.1 | indirekt |
| PyPI | libclang | 18.1.1 | indirekt |
| PyPI | llvmlite | 0.42.0 | indirekt |
| PyPI | markdown | 3.8.2 | indirekt |
| PyPI | markdown-it-py | 3.0.0 | indirekt |
| PyPI | markupsafe | 2.1.5 | indirekt |
| PyPI | matplotlib | 3.9.0 | indirekt |
| PyPI | matplotlib | 3.9.2 | indirekt |
| PyPI | matplotlib-inline | 0.1.7 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | meeko | 0.6.0a0 | indirekt |
| PyPI | mistune | 3.0.2 | indirekt |
| PyPI | ml-collections | 0.1.1 | indirekt |
| PyPI | ml-dtypes | 0.5.3 | indirekt |
| PyPI | molvs | 0.1.1 | indirekt |
| PyPI | mpmath | 1.3.0 | indirekt |
| PyPI | msgpack | 1.0.8 | indirekt |
| PyPI | namex | 0.1.0 | indirekt |
| PyPI | nbclient | 0.10.0 | indirekt |
| PyPI | nbconvert | 7.16.4 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | nest-asyncio | 1.6.0 | indirekt |
| PyPI | networkx | 3.2.1 | indirekt |
| PyPI | notebook | 7.1.3 | indirekt |
| PyPI | notebook-shim | 0.2.4 | indirekt |
| PyPI | numba | 0.59.1 | indirekt |
| PyPI | numpy | 1.26.4 | indirekt |
| PyPI | numpy | 2.0.0 | indirekt |
| PyPI | nvidia-cublas-cu12 | 12.1.3.1 | indirekt |
| PyPI | nvidia-cublas-cu12 | 12.4.5.8 | indirekt |
| PyPI | nvidia-cuda-cupti-cu12 | 12.1.105 | indirekt |
| PyPI | nvidia-cuda-cupti-cu12 | 12.4.127 | indirekt |
| PyPI | nvidia-cuda-nvcc-cu12 | 12.4.131 | indirekt |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.1.105 | indirekt |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.4.127 | indirekt |
| PyPI | nvidia-cuda-runtime-cu12 | 12.1.105 | indirekt |
| PyPI | nvidia-cuda-runtime-cu12 | 12.4.127 | indirekt |
| PyPI | nvidia-cudnn-cu12 | 8.9.7.29 | indirekt |
| PyPI | nvidia-cudnn-cu12 | 9.1.0.70 | indirekt |
| PyPI | nvidia-cufft-cu12 | 11.0.2.54 | indirekt |
| PyPI | nvidia-cufft-cu12 | 11.2.1.3 | indirekt |
| PyPI | nvidia-curand-cu12 | 10.3.2.106 | indirekt |
| PyPI | nvidia-cusolver-cu12 | 11.4.5.107 | indirekt |
| PyPI | nvidia-cusolver-cu12 | 11.6.1.9 | indirekt |
| PyPI | nvidia-cusparse-cu12 | 12.1.0.106 | indirekt |
| PyPI | nvidia-cusparse-cu12 | 12.3.1.170 | indirekt |
| PyPI | nvidia-nccl-cu12 | 2.20.5 | indirekt |
| PyPI | nvidia-nccl-cu12 | 2.21.5 | indirekt |
| PyPI | nvidia-nvjitlink-cu12 | 12.4.127 | indirekt |
| PyPI | nvidia-nvjitlink-cu12 | 12.6.20 | indirekt |
| PyPI | nvidia-nvtx-cu12 | 12.1.105 | indirekt |
| PyPI | openbabel-wheel | 3.1.1.21 | indirekt |
| PyPI | opt-einsum | 3.3.0 | indirekt |
| PyPI | optax | 0.2.2 | indirekt |
| PyPI | optree | 0.17.0 | indirekt |
| PyPI | orbax-checkpoint | 0.5.11 | indirekt |
| PyPI | overrides | 7.7.0 | indirekt |
| PyPI | packaging | 24.0 | indirekt |
| PyPI | packaging | 24.1 | indirekt |
| PyPI | pandas | 2.2.2 | indirekt |
| PyPI | pandocfilters | 1.5.1 | indirekt |
| PyPI | parso | 0.8.4 | indirekt |
| PyPI | pdb-tools | 2.5.0 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pillow | 10.3.0 | indirekt |
| PyPI | pillow | 10.4.0 | indirekt |
| PyPI | pip | 24.0 | indirekt |
| PyPI | pip | 24.2 | indirekt |
| PyPI | platformdirs | 4.2.2 | indirekt |
| PyPI | prometheus-client | 0.20.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.43 | indirekt |
| PyPI | protobuf | 5.26.1 | indirekt |
| PyPI | psutil | 5.9.8 | indirekt |
| PyPI | psutil | 6.0.0 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.2 | indirekt |
| PyPI | pyarrow | 18.1.0 | indirekt |
| PyPI | pycparser | 2.22 | indirekt |
| PyPI | pygments | 2.18.0 | indirekt |
| PyPI | pyparsing | 3.1.2 | indirekt |
| PyPI | pyscf | 2.9.0 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-json-logger | 2.0.7 | indirekt |
| PyPI | python-levenshtein | 0.25.1 | indirekt |
| PyPI | pytz | 2024.1 | indirekt |
| PyPI | pyyaml | 6.0.1 | indirekt |
| PyPI | pyyaml | 6.0.2 | indirekt |
| PyPI | pyzmq | 26.0.3 | indirekt |
| PyPI | qtconsole | 5.5.2 | indirekt |
| PyPI | qtpy | 2.4.1 | indirekt |
| PyPI | rapidfuzz | 3.9.7 | indirekt |
| PyPI | rdkit | 2023.3.2 | indirekt |
| PyPI | rdkit | 2023.9.6 | indirekt |
| PyPI | referencing | 0.35.1 | indirekt |
| PyPI | regex | 2024.11.6 | indirekt |
| PyPI | regex | 2024.5.15 | indirekt |
| PyPI | requests | 2.31.0 | indirekt |
| PyPI | requests | 2.32.3 | indirekt |
| PyPI | rfc3339-validator | 0.1.4 | indirekt |
| PyPI | rfc3986-validator | 0.1.1 | indirekt |
| PyPI | rich | 13.7.1 | indirekt |
| PyPI | rpds-py | 0.18.1 | indirekt |
| PyPI | safetensors | 0.4.3 | indirekt |
| PyPI | safetensors | 0.5.3 | indirekt |
| PyPI | scipy | 1.13.0 | indirekt |
| PyPI | scipy | 1.13.1 | indirekt |
| PyPI | seaborn | 0.13.2 | indirekt |
| PyPI | selfies | 2.1.1 | indirekt |
| PyPI | send2trash | 1.8.3 | indirekt |
| PyPI | setuptools | 69.5.1 | indirekt |
| PyPI | setuptools | 72.1.0 | indirekt |
| PyPI | six | 1.16.0 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | soupsieve | 2.5 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | sympy | 1.13.2 | indirekt |
| PyPI | tensorboard | 2.19.0 | indirekt |
| PyPI | tensorboard-data-server | 0.7.2 | indirekt |
| PyPI | tensorflow-cpu | 2.19.0 | indirekt |
| PyPI | tensorflow-io-gcs-filesystem | 0.37.1 | indirekt |
| PyPI | tensorstore | 0.1.59 | indirekt |
| PyPI | termcolor | 3.1.0 | indirekt |
| PyPI | terminado | 0.18.1 | indirekt |
| PyPI | tinycss2 | 1.3.0 | indirekt |
| PyPI | tokenizers | 0.19.1 | indirekt |
| PyPI | tokenizers | 0.21.0 | indirekt |
| PyPI | tomli | 2.0.1 | indirekt |
| PyPI | toolz | 0.12.1 | indirekt |
| PyPI | torch | 2.4.0 | indirekt |
| PyPI | torchaudio | 2.4.0 | indirekt |
| PyPI | torchvision | 0.19.0 | indirekt |
| PyPI | tornado | 6.4 | indirekt |
| PyPI | tqdm | 4.66.4 | indirekt |
| PyPI | tqdm | 4.66.5 | indirekt |
| PyPI | traitlets | 5.14.3 | indirekt |
| PyPI | transformers | 4.41.1 | indirekt |
| PyPI | transformers | 4.49.0 | indirekt |
| PyPI | triton | 3.0.0 | indirekt |
| PyPI | types-python-dateutil | 2.9.0.20240316 | indirekt |
| PyPI | typing-extensions | 4.11.0 | indirekt |
| PyPI | typing-extensions | 4.12.2 | indirekt |
| PyPI | tzdata | 2024.1 | indirekt |
| PyPI | uri-template | 1.3.0 | indirekt |
| PyPI | urllib3 | 2.2.1 | indirekt |
| PyPI | urllib3 | 2.2.2 | indirekt |
| PyPI | wcwidth | 0.2.13 | indirekt |
| PyPI | webcolors | 1.13 | indirekt |
| PyPI | webencodings | 0.5.1 | indirekt |
| PyPI | websocket-client | 1.8.0 | indirekt |
| PyPI | werkzeug | 3.1.3 | indirekt |
| PyPI | wheel | 0.43.0 | indirekt |
| PyPI | widgetsnbextension | 4.0.10 | indirekt |
| PyPI | wrapt | 1.17.2 | indirekt |
| PyPI | zipp | 3.18.1 | indirekt |
| PyPI | zipp | 3.20.0 | indirekt |
Abhängigkeits-Advisories 40
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 245 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 40 tragen bekannte Advisories, davon 0 direkte.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| h11 | 0.14.0 | indirekt | kritisch | 2 | 0.16.0 |
| jupyterlab | 4.1.8 | indirekt | kritisch | 16 | 7.5.6 |
| keras | 3.11.0 | indirekt | kritisch | 15 | 3.14.0 |
| notebook | 7.1.3 | indirekt | kritisch | 6 | 7.5.6 |
| pillow | 10.3.0 | indirekt | kritisch | 34 | 12.3.0 |
| pillow | 10.4.0 | indirekt | kritisch | 34 | 12.3.0 |
| torch | 2.4.0 | indirekt | kritisch | 23 | 2.13.0 |
| transformers | 4.41.1 | indirekt | kritisch | 42 | 5.5.0 |
| transformers | 4.49.0 | indirekt | kritisch | 35 | 5.5.0 |
| certifi | 2024.2.2 | indirekt | hoch | 2 | 2024.7.4 |
| jinja2 | 3.1.4 | indirekt | hoch | 6 | 3.1.6 |
| jupyter-core | 5.7.2 | indirekt | hoch | 2 | 5.8.1 |
| jupyter-server | 2.14.0 | indirekt | hoch | 16 | 2.20.0 |
| mistune | 3.0.2 | indirekt | hoch | 30 | 3.3.0 |
| msgpack | 1.0.8 | indirekt | hoch | 1 | 1.2.1 |
| pip | 24.0 | indirekt | hoch | 10 | 26.1.2 |
| pip | 24.2 | indirekt | hoch | 10 | 26.1.2 |
| protobuf | 5.26.1 | indirekt | hoch | 4 | 6.33.5 |
| pyarrow | 18.1.0 | indirekt | hoch | 2 | 23.0.1 |
| setuptools | 69.5.1 | indirekt | hoch | 6 | 83.0.0 |
| setuptools | 72.1.0 | indirekt | hoch | 4 | 83.0.0 |
| soupsieve | 2.5 | indirekt | hoch | 4 | 2.8.4 |
| tornado | 6.4 | indirekt | hoch | 24 | 6.5.7 |
| urllib3 | 2.2.1 | indirekt | hoch | 14 | 2.7.0 |
| urllib3 | 2.2.2 | indirekt | hoch | 12 | 2.7.0 |
| wheel | 0.43.0 | indirekt | hoch | 2 | 0.46.2 |
| biopython | 1.84 | indirekt | mittel | 2 | 1.87 |
| biopython | 1.85 | indirekt | mittel | 2 | 1.87 |
| bleach | 6.1.0 | indirekt | mittel | 2 | 6.4.0 |
| filelock | 3.14.0 | indirekt | mittel | 4 | 3.20.3 |
| filelock | 3.15.4 | indirekt | mittel | 4 | 3.20.3 |
| fonttools | 4.51.0 | indirekt | mittel | 2 | 4.60.2 |
| fonttools | 4.53.1 | indirekt | mittel | 2 | 4.60.2 |
| idna | 3.7 | indirekt | mittel | 2 | 3.15 |
| nbconvert | 7.16.4 | indirekt | mittel | 6 | 7.17.1 |
| requests | 2.31.0 | indirekt | mittel | 6 | 2.33.0 |
| requests | 2.32.3 | indirekt | mittel | 4 | 2.33.0 |
| werkzeug | 3.1.3 | indirekt | mittel | 6 | 3.1.6 |
| zipp | 3.18.1 | indirekt | mittel | 2 | 3.19.1 |
| pygments | 2.18.0 | 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.
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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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.