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Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-17 22:33 UTC

galacticdynamics / phasecurvefit

Construct Paths through Phase-Space Points

PythonMIT★ 4 Sterne⑂ 3 Forksseit Jan. 2026Auf GitHub ansehen ↗

galacticdynamics/phasecurvefit erreicht einen Gesundheitsindex von 68 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Engineering Quality (92/100) ab, am schwächsten bei Community & Adoption (45/100). Zuletzt vor 4 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

68
gesamt / 100
Mittel

Software-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.

68
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)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

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

GalacticDynamicsOrganisation
34 Follower18 öffentliche Reposseit Nov. 2023

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIphasecurvefit0.3.1-4vor 4 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

81Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 4 Tagen
8.3/36Commit-Rhythmus — 12/52 Wochen mit Commits
14.2/18Commit-Volumen — 37 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year37
human_commit_share
days_since_last_push4
active_weeks_last_year12

Release-Disziplin

100Exzellent
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 5 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 4 Tagen
27/27Release-Rhythmus — ein Release etwa alle 35,8 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count5
latest_release_tagv0.3.1
releases_from_tagsnein
days_since_latest_release4
mean_days_between_releases35,8
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?

45Gefährdet · 18 % des Gesamtindex
Wie die Bewertung erfolgt
7.7/60Stars — 4 Stars
2.5/25Forks — 3 Forks
0/15Watcher — 0 Watcher
Verwendete Eingangsdaten
forks3
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
18/18CONTRIBUTING-Leitfaden
13.5/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductja
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

57Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
7.9/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 65 % der Commits
4.1/13.5Breite der Beitragenden — 3 Beitragende
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Verwendete Eingangsdaten
bus_factor1
contributors_sampled3
top_contributor_share0,649
Wie die Bewertung erfolgt
31.2/46.8Issue-Lösungsquote — 67 % der Issues geschlossen
33.9/38.3PR-Annahme — 39/44 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/18 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs39
open_issues1
closed_issues2
issue_closed_ratio0,667
closed_unmerged_prs5
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
11.1/25Reichweite des Inhabers — 34 Follower von GalacticDynamics
14.7/25Kontohistorie — 18 öffentliche Repos, Kontoalter ca. 2 Jahre
Verwendete Eingangsdaten
followers34
owner_typeOrganization
is_verified
owner_loginGalacticDynamics
public_repos18
account_age_days981

Paketpflege

92Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 4 Tagen
12/20Versionshistorie — 4 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesphasecurvefit
ecosystemspypi
any_deprecatednein
min_days_since_publish4

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

92Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 4 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

90Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://phasecurvefit.readthedocs.io/
10/10Repository-Beschreibung
10/10Topics — 7 Topics
0/10Wiki
Verwendete Eingangsdaten
topicsjax, autoencoder, curve-fitting, high-performance, ml, nearest-neighbors, phase-space
has_wikinein
homepagehttps://phasecurvefit.readthedocs.io/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

63Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/18 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
2/5SAST — SAST tool is not run on all commits -- score normalized to 4
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — keine Daten
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 21 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,3
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. 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.

69Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — .github/copilot-instructions.md
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes5.692
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
18/18Bootstrap mit einem Befehl — docs/Makefile, noxfile.py
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_filesdocs/Makefile, noxfile.py
has_devcontainernein
has_linter_configja
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/60 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes44.783
source_files_sampled60
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — notebooks
Verwendete Eingangsdaten
example_dirsnotebooks
has_mcp_signalnein
api_schema_files

Eckdaten

4GitHub-Sterne
3Mitwirkende
37Commits, letzte 12 Monate
4Tage seit letztem Push
5Releases
1Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 6.3 / 10
6.3Gesamtwert

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).Scorecard v5.5.0 · 2026-07-17 22:33 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/18 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained20 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
4SASTSAST tool is not run on all commits -- score normalized to 4
4Security-Policysecurity policy file detected
k. A.Signed-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities21 existing vulnerabilities detected
Direkte Abhängigkeiten 11
RegistryPaketVersionsvorgabeManifest
PyPIequinox>=0.13.5pyproject.toml
PyPIjax>=0.7.2pyproject.toml
PyPIjaxmore>=0.4.0pyproject.toml
PyPIjax-tqdm>=0.4.0pyproject.toml
PyPIjaxtyping>=0.3.5pyproject.toml
PyPIoptax>=0.2.4pyproject.toml
PyPIoptional-dependencies>=0.4.0pyproject.toml
PyPIplum-dispatch>=2.6.1pyproject.toml
PyPIquax>=0.2.1pyproject.toml
PyPIscipy>=1.11pyproject.toml
PyPIzeroth>=1.0.1pyproject.toml
Alle Abhängigkeiten 203

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 11 direkte und 192 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
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PyPIjax-tqdm0.4.0direkt
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JSON-Rohbericht maschinenlesbar
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                "key": "owner_reach",
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                "key": "track_record",
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        ],
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                "key": "code_review",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "maintained",
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                "key": "packaging",
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              {
                "key": "pinned_dependencies",
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                "key": "sast",
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                "max_points": 7.5
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                "key": "token_permissions",
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              {
                "key": "vulnerabilities",
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            ]
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        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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      {
        "key": "ai_readiness",
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        "weight": 0,
        "metrics": [
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                "code": "excluded_no_data",
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}

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