Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-27 22:26 UTC
CompOmics / ms2pip
MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.
CompOmics/ms2pip erreicht einen Gesundheitsindex von 67 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (77/100) ab, am schwächsten bei AI Readiness (37/100). Zuletzt vor 14 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
67
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.
67
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
Computational Omics and Systems Biology GroupOrganisation
129 Follower114 öffentliche Reposseit März 2015
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 | ms2pip | 4.2.0 | 2.719 | 38 | vor 14 Tagen | ms2pipproteomicspeptide-fragmentationpeak-intensity-predictionspectrum-predictionmachine-learningspectral-libraryfasta2speclib |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
72
Entwicklungsaktivität
64Mittel
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 14 Tagen |
| 8.3/36 | Commit-Rhythmus — 12/52 Wochen mit Commits |
| 17/18 | Commit-Volumen — 78 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 19 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 78 |
| human_commit_share | 1 |
| days_since_last_push | 14 |
| active_weeks_last_year | 12 |
Release-Disziplin
84Gut
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 26 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 14 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 139,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 26 |
| latest_release_tag | v4.2.0 |
| releases_from_tags | nein |
| days_since_latest_release | 14 |
| mean_days_between_releases | 139,8 |
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?
49
Popularität & Verbreitung
44Gefährdet
Wie die Bewertung erfolgt
| 27.3/60 | Stars — 49 Stars |
| 10.5/25 | Forks — 19 Forks |
| 6.7/15 | Watcher — 17 Watcher |
Verwendete Eingangsdaten
| forks | 19 |
| stars | 49 |
| watchers | 17 |
| 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 |
Wie die Bewertung erfolgt
| 45.8/80 | Downloads pro Monat — 2.719 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | ms2pip |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 2.719 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
68
Maintainer-Resilienz (Bus-Faktor)
40Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 7.2/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 68 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 11 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 11 |
| top_contributor_share | 0,682 |
Wie die Bewertung erfolgt
| 44/46.8 | Issue-Lösungsquote — 94 % der Issues geschlossen |
| 30.1/38.3 | PR-Annahme — 144/183 entschiedene PRs gemergt |
| 1.5/15 | OpenSSF Scorecard: Code-Review — Found 1/10 approved changesets -- score normalized to 1 |
Verwendete Eingangsdaten
| merged_prs | 144 |
| open_issues | 5 |
| closed_issues | 81 |
| issue_closed_ratio | 0,942 |
| closed_unmerged_prs | 39 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 15.2/25 | Reichweite des Inhabers — 129 Follower von CompOmics |
| 25/25 | Kontohistorie — 114 öffentliche Repos, Kontoalter ca. 11 Jahre |
Verwendete Eingangsdaten
| followers | 129 |
| owner_type | Organization |
| is_verified | — |
| owner_login | CompOmics |
| public_repos | 114 |
| account_age_days | 4.143 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 14 Tagen |
| 20/20 | Versionshistorie — 38 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | ms2pip |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 14 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
77
Engineering-Praktiken
68Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 9 out of 9 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 | nein |
| has_precommit_config | nein |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://ms2pip.readthedocs.io |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | machine-learning, mass-spectrometry, peptide-identification, proteomics, spectrum-prediction, peptide-spectrum |
| has_wiki | nein |
| homepage | https://ms2pip.readthedocs.io |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
69
Sicherheitslage
61Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 6/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 9 out of 9 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 |
| 0.8/7.5 | Code-Review — Found 1/10 approved changesets -- score normalized to 1 |
| 2.5/2.5 | Contributors — project has 5 contributing companies or organizations |
| 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 — 19 commit(s) and 4 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 — 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 — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 29 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:ms2pip@4.2.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 29 Paketen. 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.
37
AI-Agentenkontext & Leitlinien
32Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 31.5/40 | Lesbare Commit-Historie — 59 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,59 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
AI-Verify-Loop (Build / Test / Typprüfung)
32Gefährdet
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates 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 | — |
| 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 — HTML ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/25 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | HTML |
| largest_source_bytes | 28.997 |
| source_files_sampled | 25 |
| 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
49GitHub-Sterne
11Mitwirkende
78Commits, letzte 12 Monate
14Tage seit letztem Push
26Releases
1Bus-Faktor
5offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 19 ⇿
0Sterne
19Forks
23Releases
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.
Major 1Minor 10Patch 7
Jeder Punkt umfasst 8 Tage.
OpenSSF Scorecard 6.1 / 10
6.1Gesamtwert
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 |
| 8 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 9 out of 9 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 |
| 1 | Code-Review | Found 1/10 approved changesets -- score normalized to 1 |
| 10 | Contributors | project has 5 contributing companies or organizations |
| 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 | 19 commit(s) and 4 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 | SAST tool is not run on all commits -- score normalized to 0 |
| 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 12
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | numpy | >=1.25,<3 | pyproject.toml |
| PyPI | pandas | >=1,<3 | pyproject.toml |
| PyPI | pyteomics | >=3.5,<5 | pyproject.toml |
| PyPI | sqlalchemy | >=1.4,<3 | pyproject.toml |
| PyPI | click | >=7,<9 | pyproject.toml |
| PyPI | xgboost | >=1.3,<3 | pyproject.toml |
| PyPI | lxml | >=4,<7 | pyproject.toml |
| PyPI | rich | >=13,<16 | pyproject.toml |
| PyPI | pydantic | >=2,<3 | pyproject.toml |
| PyPI | werkzeug | >=2,<4 | pyproject.toml |
| PyPI | psm_utils | >=1.5,<4 | pyproject.toml |
| PyPI | ms2rescore-rs | >=0.5.0,<2 | pyproject.toml |
Alle Abhängigkeiten 176
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 15 direkte und 161 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | click | 8.4.2 | direkt |
| PyPI | lxml | 6.1.1 | direkt |
| PyPI | ms2rescore-rs | 0.5.0 | direkt |
| PyPI | numpy | 1.15.4 | direkt |
| PyPI | numpy | 2.4.6 | direkt |
| PyPI | pandas | 0.23.4 | direkt |
| PyPI | pandas | 2.3.3 | direkt |
| PyPI | psm-utils | 1.5.5 | direkt |
| PyPI | pydantic | 2.13.4 | direkt |
| PyPI | pyteomics | 3.5.1 | direkt |
| PyPI | pyteomics | 4.7.5 | direkt |
| PyPI | rich | 14.3.4 | direkt |
| PyPI | sqlalchemy | 2.0.51 | direkt |
| PyPI | werkzeug | 3.1.8 | direkt |
| PyPI | xgboost | 2.1.4 | direkt |
| PyPI | aiohappyeyeballs | 2.7.1 | indirekt |
| PyPI | aiohttp | 3.14.1 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | alabaster | 1.0.0 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.14.1 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | asttokens | 3.0.1 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | biopython | 1.72 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | cffi | 2.1.0 | indirekt |
| PyPI | charset-normalizer | 3.4.9 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | commonmark | 0.9.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | cuda-bindings | 13.3.1 | indirekt |
| PyPI | cuda-pathfinder | 1.5.6 | indirekt |
| PyPI | cuda-toolkit | 13.0.3.0 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | cython | 0.29.2 | indirekt |
| PyPI | debugpy | 1.8.21 | indirekt |
| PyPI | decorator | 5.3.1 | indirekt |
| PyPI | deeplc | 4.0.0b1 | indirekt |
| PyPI | docutils | 0.22.4 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastobo | 0.14.1 | indirekt |
| PyPI | filelock | 3.29.7 | indirekt |
| PyPI | fonttools | 4.63.0 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | fsspec | 2026.6.0 | indirekt |
| PyPI | greenlet | 3.5.3 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | im2deep | 2.0.0 | indirekt |
| PyPI | imagesize | 2.0.0 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | ipykernel | 7.3.0 | indirekt |
| PyPI | ipython | 9.15.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | ipywidgets | 8.1.8 | indirekt |
| PyPI | jedi | 0.20.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | joblib | 1.5.3 | indirekt |
| PyPI | jupyter-client | 8.9.1 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | jupyterlab-widgets | 3.0.16 | indirekt |
| PyPI | kiwisolver | 1.5.0 | indirekt |
| PyPI | lark | 1.3.1 | indirekt |
| PyPI | lightning | 2.6.5 | indirekt |
| PyPI | lightning-utilities | 0.15.3 | indirekt |
| PyPI | llvmlite | 0.48.0 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib | 3.0.2 | indirekt |
| PyPI | matplotlib | 3.11.0 | indirekt |
| PyPI | matplotlib-inline | 0.2.2 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | ml-dtypes | 0.5.4 | indirekt |
| PyPI | mpmath | 1.3.0 | indirekt |
| PyPI | multidict | 6.7.1 | indirekt |
| PyPI | narwhals | 2.23.0 | indirekt |
| PyPI | nest-asyncio2 | 1.7.2 | indirekt |
| PyPI | networkx | 3.6.1 | indirekt |
| PyPI | numba | 0.66.0 | indirekt |
| PyPI | numpydoc | 1.10.0 | indirekt |
| PyPI | nvidia-cublas | 13.1.1.3 | indirekt |
| PyPI | nvidia-cuda-cupti | 13.0.85 | indirekt |
| PyPI | nvidia-cuda-nvrtc | 13.0.88 | indirekt |
| PyPI | nvidia-cuda-runtime | 13.0.96 | indirekt |
| PyPI | nvidia-cudnn-cu13 | 9.20.0.48 | indirekt |
| PyPI | nvidia-cufft | 12.0.0.61 | indirekt |
| PyPI | nvidia-cufile | 1.15.1.6 | indirekt |
| PyPI | nvidia-curand | 10.4.0.35 | indirekt |
| PyPI | nvidia-cusolver | 12.0.4.66 | indirekt |
| PyPI | nvidia-cusparse | 12.6.3.3 | indirekt |
| PyPI | nvidia-cusparselt-cu13 | 0.8.1 | indirekt |
| PyPI | nvidia-nccl-cu12 | 2.30.7 | indirekt |
| PyPI | nvidia-nccl-cu13 | 2.29.7 | indirekt |
| PyPI | nvidia-nvjitlink | 13.3.33 | indirekt |
| PyPI | nvidia-nvshmem-cu13 | 3.4.5 | indirekt |
| PyPI | nvidia-nvtx | 13.0.85 | indirekt |
| PyPI | onnx | 1.22.0 | indirekt |
| PyPI | onnx2torch | 1.5.15 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | parso | 0.8.7 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pillow | 12.3.0 | indirekt |
| PyPI | pip | 26.1.2 | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | propcache | 0.5.2 | indirekt |
| PyPI | protobuf | 7.35.1 | indirekt |
| PyPI | psims | 1.3.6 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pyarrow | 25.0.0 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyparsing | 3.3.2 | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | pytorch-lightning | 2.6.5 | indirekt |
| PyPI | pytz | 2026.2 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyzmq | 27.1.0 | indirekt |
| PyPI | recommonmark | 0.7.1 | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | roman-numerals | 4.1.0 | indirekt |
| PyPI | ruff | 0.15.21 | indirekt |
| PyPI | scikit-learn | 1.9.0 | indirekt |
| PyPI | scipy | 1.1.0 | indirekt |
| PyPI | scipy | 1.17.1 | indirekt |
| PyPI | scipy | 1.18.0 | indirekt |
| PyPI | semver | 3.0.4 | indirekt |
| PyPI | setuptools | 83.0.0 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | snowballstemmer | 3.1.1 | indirekt |
| PyPI | spectrum-utils | 0.5.0 | indirekt |
| PyPI | sphinx | 9.0.4 | indirekt |
| PyPI | sphinx | 9.1.0 | indirekt |
| PyPI | sphinx-autobuild | 2025.8.25 | indirekt |
| PyPI | sphinx-automodapi | 0.22.0 | indirekt |
| PyPI | sphinx-click | 6.2.0 | indirekt |
| PyPI | sphinx-rtd-theme | 3.1.0 | indirekt |
| PyPI | sphinxcontrib-applehelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-devhelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-htmlhelp | 2.1.0 | indirekt |
| PyPI | sphinxcontrib-jquery | 4.1 | indirekt |
| PyPI | sphinxcontrib-jsmath | 1.0.1 | indirekt |
| PyPI | sphinxcontrib-qthelp | 2.0.0 | indirekt |
| PyPI | sphinxcontrib-serializinghtml | 2.0.0 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | starlette | 1.3.1 | indirekt |
| PyPI | sympy | 1.14.0 | indirekt |
| PyPI | tables | 3.4.4 | indirekt |
| PyPI | threadpoolctl | 3.6.0 | indirekt |
| PyPI | toml | 0.10.2 | indirekt |
| PyPI | torch | 2.13.0 | indirekt |
| PyPI | torchmetrics | 1.9.0 | indirekt |
| PyPI | torchvision | 0.28.0 | indirekt |
| PyPI | tornado | 6.5.7 | indirekt |
| PyPI | tqdm | 4.68.4 | indirekt |
| PyPI | traitlets | 5.15.1 | indirekt |
| PyPI | triton | 3.7.1 | indirekt |
| PyPI | ty | 0.0.58 | indirekt |
| PyPI | typing-extensions | 4.16.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2026.3 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | uvicorn | 0.51.0 | indirekt |
| PyPI | watchfiles | 1.2.0 | indirekt |
| PyPI | wcwidth | 0.8.2 | indirekt |
| PyPI | websockets | 16.1 | indirekt |
| PyPI | widgetsnbextension | 4.0.15 | indirekt |
| PyPI | yarl | 1.24.2 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:ms2pip@4.2.0 zieht 29 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
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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"headline": "Merge pull request #262 from CompOmics/feat/merge-correlate-preloaded",
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"body": "Validate peptidoforms before passing to ms2rescore-rs: check for\nunsupported amino acids, sequence length (4-100), and missing charge.\nInvalid PSMs are skipped with an empty ProcessingResult and a single\nsummarized warning log message, matching the old silent-skip behavior.",
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"body": "Make `correlate` auto-detect whether PSMs carry preloaded spectra\n(MS2Spectrum/AnnotatedMS2Spectrum) or need file-based loading, removing\nthe need for a separate `correlate_preloaded` function.",
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"headline": "Merge pull request #260 from CompOmics/feat/replace-c-with-rust",
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"headline": "Merge pull request #253 from CompOmics/ms2rescore-compatibility",
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"body": "…ized\n\nIntegrate the MS2Spectrum processing path with the existing parallelized\ninfrastructure instead of duplicating XGBoost and encoding logic. Extract\nshared per-PSM processing in _process_spectra into a helper function to\nsupport both file-based and preloaded spectrum lookups.",
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"body": "Add scipy to cibuildwheel pip_only_binary, avoiding failed builds",
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"body": "…nodo\n\nPrefer genesis for model downloads, fall back to Zenodo",
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"headline": "Merge pull request #255 from CompOmics/fix/prefer-genesis-fallback-ze…",
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"headline": "Merge pull request #252 from CompOmics/fix/ci-use-wheel-only",
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"is_bot": false,
"headline": "add functionality to parse spectra directly from ms2spectrum objects …",
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"body": "Version bump",
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"headline": "Merge pull request #251 from CompOmics/version-bump",
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"headline": "Merge pull request #249 from CompOmics/fix/support-sqlalchemy2",
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"checks_inconclusive": 1,
"scorecard_aggregate": 6.1
},
"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 is not maximal on development and all release branches",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "9 out of 9 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"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 1/10 approved changesets -- score normalized to 1",
"points": 0.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 5 contributing companies or organizations",
"points": 2.5,
"status": "met",
"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": "19 commit(s) and 4 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": "SAST tool is not run on all commits -- score normalized to 0",
"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": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:ms2pip@4.2.0 runtime dependency closure — what installing the published package pulls in — 29 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:ms2pip@4.2.0",
"assessed": 29
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 29,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
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"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"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": 29,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
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"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",
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"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": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 8
},
"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": "at_risk",
"name": "AI Readiness",
"value": 37,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "at_risk",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 32,
"inputs": {
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"legible_history_share": 0.59,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"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",
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"status": "partial",
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{
"code": "legible_history",
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"legible": 59,
"sampled": 100
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}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
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"note": null,
"notes": [],
"value": 32,
"inputs": {
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"has_tests": true,
"lockfiles": [
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"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
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}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"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": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "HTML",
"largest_source_bytes": 28997,
"source_files_sampled": 25,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "HTML without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "HTML"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/25 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 25,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"notebooks"
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"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "notebooks"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-27T22:26:51.449767Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/CompOmics/ms2pip.svg",
"full_name": "CompOmics/ms2pip",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 — PyPI.