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Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-17 20:06 UTC
acts-project / acts
Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++
acts-project/acts erreicht einen Gesundheitsindex von 77 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei Security (33/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
77
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.
77
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
ActsOrganisation
28 Follower43 öffentliche Reposseit März 2019
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 | codegenverweist auf ein anderes Repo — nicht bewertet | 0.57.0 | 3.820 | 231 | vor 296 Tagen | code-generationcodebasecodebase-analysiscodebase-manipulationcodebase-transformationcodegenrefactoring |
| PyPI | pyacts | 47.0.0 | 945 | 10 | vor 2 Tagen | — |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
99
Entwicklungsaktivität
99Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 35.3/36 | Commit-Rhythmus — 51/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 1.022 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — keine Daten |
Verwendete Eingangsdaten
| commits_last_year | 1.022 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 100 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 3 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 11,4 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 100 |
| latest_release_tag | v47.0.0 |
| releases_from_tags | nein |
| days_since_latest_release | 3 |
| mean_days_between_releases | 11,4 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
72
Popularität & Verbreitung
60Mittel
Wie die Bewertung erfolgt
| 34/60 | Stars — 126 Stars |
| 20.2/25 | Forks — 264 Forks |
| 5.3/15 | Watcher — 10 Watcher |
Verwendete Eingangsdaten
| forks | 264 |
| stars | 126 |
| watchers | 10 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
100Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MPL-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 7.2/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | ja |
| has_code_of_conduct | ja |
| has_pull_request_template | ja |
Wie die Bewertung erfolgt
| 39.7/80 | Downloads pro Monat — 945 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | pyacts |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 945 |
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?
80
Wie die Bewertung erfolgt
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 16.8/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 26 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — keine Daten |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 100 |
| top_contributor_share | 0,255 |
Reaktionsfähigkeit bei Issues & PRs
86Exzellent
Wie die Bewertung erfolgt
| 39.4/46.8 | Issue-Lösungsquote — 84 % der Issues geschlossen |
| 33.8/38.3 | PR-Annahme — 4.379/4.953 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — keine Daten |
Verwendete Eingangsdaten
| merged_prs | 4.379 |
| open_issues | 101 |
| closed_issues | 537 |
| issue_closed_ratio | 0,842 |
| closed_unmerged_prs | 574 |
Eigentümerschaft & Trägerschaft
64Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 10.5/25 | Reichweite des Inhabers — 28 Follower von acts-project |
| 24/25 | Kontohistorie — 43 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 28 |
| owner_type | Organization |
| is_verified | — |
| owner_login | acts-project |
| public_repos | 43 |
| account_age_days | 2.683 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 2 Tagen |
| 20/20 | Versionshistorie — 10 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | pyacts |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 2 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
91
Engineering-Praktiken
92Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 18 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://acts-project.github.io |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 4 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | particle-track-reconstruction, reconstruction, physics-experiment, simulation |
| has_wiki | nein |
| homepage | https://acts-project.github.io |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
33
Sicherheitslage
33Gefährdet
Wie die Bewertung erfolgt
| 0/30 | Sicherheitsrichtlinie (SECURITY.md) |
| 25/25 | Dependabot-Konfiguration |
| 0/25 | Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet |
| 0/20 | CodeQL-Workflow |
Verwendete Eingangsdaten
| source | file_signals |
| lockfiles | uv.lock |
| manifests | codegen/pyproject.toml, codegen/requirements.txt, pyproject.toml |
| has_codeql_workflow | nein |
| has_security_policy | nein |
| has_dependabot_config | ja |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. 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.
60
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.
AI-Verify-Loop (Build / Test / Typprüfung)
96Exzellent
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Traccc/extras/root_to_csv/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — C++ (statisch typisiert) |
| 10/10 | Reproduzierbare Umgebung — devcontainer, Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — keine Daten |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | ja |
| typed_language | ja |
| bootstrap_files | Traccc/extras/root_to_csv/Makefile |
| has_devcontainer | ja |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
100Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 54.9/55 | Handhabbare Dateigrößen — 8/3.702 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C++ |
| largest_source_bytes | 993.557 |
| source_files_sampled | 3.702 |
| oversized_source_files | 8 |
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
126GitHub-Sterne
100Mitwirkende
1.022Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
3Bus-Faktor
101offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- pypi package 'codegen' points at a different repository (https://github.com/codegen-sh/codegen-sdk); excluded from ecosystem scoring
- OpenSSF Scorecard did not return a usable result (Skipping github.com/acts-project/acts: run: RepoClient.LocalPath: error during tarballHandler.setup: internal error: handler.httpClient.Do: Get "https://codeload.github.com/acts-project/acts/legacy.tar.gz/refs/heads/main": internal error: innerTransport.RoundTrip: internal error: innerTransport.RoundTrip: error in HTTP: dial tcp: lookup codeload.github.com on 127.0.0.11:53: server misbehaving); skipping Scorecard checks
Weitere Details
Direkte Abhängigkeiten 2
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | numpy | — | codegen/pyproject.toml |
| PyPI | sympy | — | codegen/pyproject.toml |
Alle Abhängigkeiten 177
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 10 direkte und 167 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | numpy | — | direkt |
| PyPI | numpy | 2.0.0 | direkt |
| PyPI | numpy | 2.0.2 | direkt |
| PyPI | numpy | 2.3.1 | direkt |
| PyPI | numpy | 2.3.2 | direkt |
| PyPI | numpy | 2.3.3 | direkt |
| PyPI | numpy | 2.4.1 | direkt |
| PyPI | numpy | 2.5.1 | direkt |
| PyPI | sympy | — | direkt |
| PyPI | sympy | 1.14.0 | direkt |
| PyPI | aiohappyeyeballs | 2.7.1 | indirekt |
| PyPI | aiohttp | 3.14.1 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | alabaster | 0.7.16 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | appdirs | 1.4.4 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | awkward | 2.10.0 | indirekt |
| PyPI | awkward-cpp | 54 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | black | 25.1.0 | indirekt |
| PyPI | black | 25.12.0 | indirekt |
| PyPI | black | 25.9.0 | indirekt |
| PyPI | boost-histogram | 1.7.2 | indirekt |
| PyPI | breathe | 4.36.0 | indirekt |
| PyPI | certifi | 2026.6.17 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | click | 8.1.8 | indirekt |
| PyPI | click | 8.2.1 | indirekt |
| PyPI | click | 8.3.0 | indirekt |
| PyPI | click | 8.3.1 | indirekt |
| PyPI | click | 8.4.2 | indirekt |
| PyPI | codereport | 0.4.1 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | contourpy | 1.3.0 | indirekt |
| PyPI | contourpy | 1.3.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | cramjam | 2.11.0 | indirekt |
| PyPI | cryptography | 49.0.0 | indirekt |
| PyPI | cut-optimiser | 0.1.0 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | detray | 0.1.0 | indirekt |
| PyPI | detray-sympy | 0.1.0 | indirekt |
| PyPI | docutils | 0.21.2 | indirekt |
| PyPI | execnet | 2.1.2 | indirekt |
| PyPI | filelock | 3.29.5 | indirekt |
| PyPI | fonttools | 4.55.6 | indirekt |
| PyPI | fonttools | 4.59.0 | indirekt |
| PyPI | fonttools | 4.61.1 | indirekt |
| PyPI | fonttools | 4.63.0 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | fs | 2.4.16 | indirekt |
| PyPI | fsspec | 2026.6.0 | indirekt |
| PyPI | gidgethub | 5.4.0 | indirekt |
| PyPI | gitdb | 4.0.12 | indirekt |
| PyPI | gitpython | 3.1.44 | indirekt |
| PyPI | hatchling | — | indirekt |
| PyPI | hist | 2.10.1 | indirekt |
| PyPI | histoprint | 2.6.0 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | imagesize | 2.0.0 | indirekt |
| PyPI | importlib-resources | 6.5.2 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | kiwisolver | 1.4.7 | indirekt |
| PyPI | kiwisolver | 1.4.8 | indirekt |
| PyPI | kiwisolver | 1.4.9 | indirekt |
| PyPI | kiwisolver | 1.5.0 | indirekt |
| PyPI | markdown-it-py | 3.0.0 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib | 3.10.3 | indirekt |
| PyPI | matplotlib | 3.10.8 | indirekt |
| PyPI | matplotlib | 3.11.0 | indirekt |
| PyPI | matplotlib | 3.8.4 | indirekt |
| PyPI | matplotlib | 3.9.4 | indirekt |
| PyPI | mdit-py-plugins | 0.6.1 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mplhep | 1.3.1 | indirekt |
| PyPI | mplhep-data | 0.1.0 | indirekt |
| PyPI | mpmath | 1.3.0 | indirekt |
| PyPI | multidict | 6.7.1 | indirekt |
| PyPI | mypy-extensions | 1.0.0 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | myst-parser | 4.0.1 | indirekt |
| PyPI | packaging | 24.2 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | pandas | 2.2.2 | indirekt |
| PyPI | pandas | 2.2.3 | indirekt |
| PyPI | pandas | 2.3.1 | indirekt |
| PyPI | pandas | 2.3.2 | indirekt |
| PyPI | pandas | 2.3.3 | indirekt |
| PyPI | pathspec | 0.12.1 | indirekt |
| PyPI | pathspec | 1.0.3 | indirekt |
| PyPI | pillow | 11.1.0 | indirekt |
| PyPI | pillow | 11.3.0 | indirekt |
| PyPI | pillow | 12.1.0 | indirekt |
| PyPI | pillow | 12.3.0 | indirekt |
| PyPI | platformdirs | 4.3.6 | indirekt |
| PyPI | platformdirs | 4.3.8 | indirekt |
| PyPI | platformdirs | 4.5.0 | indirekt |
| PyPI | platformdirs | 4.5.1 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | propcache | 0.5.2 | indirekt |
| PyPI | pyarrow | 24.0.0 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic | 2.11.7 | indirekt |
| PyPI | pydantic | 2.13.4 | indirekt |
| PyPI | pydantic-core | 2.33.2 | indirekt |
| PyPI | pydantic-core | 2.46.4 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyhepmc | 2.16.1 | indirekt |
| PyPI | pyjwt | 2.13.0 | indirekt |
| PyPI | pyparsing | 3.2.1 | indirekt |
| PyPI | pyparsing | 3.2.3 | indirekt |
| PyPI | pyparsing | 3.3.1 | indirekt |
| PyPI | pyparsing | 3.3.2 | indirekt |
| PyPI | pyqt5 | 5.15.10 | indirekt |
| PyPI | pyqt5-sip | 12.13.0 | indirekt |
| PyPI | pytest | 9.0.2 | indirekt |
| PyPI | pytest | 9.1.1 | indirekt |
| PyPI | pytest-check | 2.8.0 | indirekt |
| PyPI | pytest-repeat | 0.9.4 | indirekt |
| PyPI | pytest-timeout | 2.4.0 | indirekt |
| PyPI | pytest-xdist | 3.8.0 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-dotenv | 1.2.2 | indirekt |
| PyPI | python-slugify | 6.1.2 | indirekt |
| PyPI | pytokens | 0.2.0 | indirekt |
| PyPI | pytokens | 0.3.0 | indirekt |
| PyPI | pytz | 2024.2 | indirekt |
| PyPI | pytz | 2025.2 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | requests | 2.34.2 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | scipy | 1.13.1 | indirekt |
| PyPI | scipy | 1.17.0 | indirekt |
| PyPI | setuptools | 83.0.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | smmap | 5.0.2 | indirekt |
| PyPI | snowballstemmer | 3.1.1 | indirekt |
| PyPI | sphinx | 7.3.7 | 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 | text-unidecode | 1.3 | indirekt |
| PyPI | toml | 0.10.2 | indirekt |
| PyPI | tomli | 2.2.1 | indirekt |
| PyPI | traccc-bench-tools | 0.0.1 | indirekt |
| PyPI | traccc-event-trimmer | 0.1.0 | indirekt |
| PyPI | traccc-physics-plots | 0.1.0 | indirekt |
| PyPI | typer | 0.26.8 | indirekt |
| PyPI | typing-extensions | 4.12.2 | indirekt |
| PyPI | typing-extensions | 4.14.1 | indirekt |
| PyPI | typing-extensions | 4.16.0 | indirekt |
| PyPI | typing-inspection | 0.4.1 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2025.1 | indirekt |
| PyPI | tzdata | 2025.2 | indirekt |
| PyPI | tzdata | 2025.3 | indirekt |
| PyPI | uhi | 1.1.1 | indirekt |
| PyPI | uproot | 5.7.5 | indirekt |
| PyPI | uritemplate | 4.2.0 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
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| PyPI | zipp | 3.21.0 | indirekt |
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"params": {
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}
},
{
"code": "account_age_years",
"params": {
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}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"pyacts"
],
"ecosystems": "pypi",
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"min_days_since_publish": 2
},
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"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
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"ecosystems": "pypi"
}
}
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{
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{
"code": "publish_recency",
"params": {
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}
}
],
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},
{
"key": "version_history",
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"points": 20,
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"details": [
{
"code": "published_versions",
"params": {
"count": 10
}
}
],
"max_points": 20
},
{
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"details": [
{
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"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 91,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
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"inputs": {
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"detail": "18 workflow(s)",
"points": 24,
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"details": [
{
"code": "ci_workflows",
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}
}
],
"max_points": 24
},
{
"key": "tests_present",
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"points": 24,
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"details": [],
"max_points": 24
},
{
"key": "linter_config",
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"points": 16,
"status": "met",
"details": [],
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},
{
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"details": [],
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},
{
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"details": [],
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},
{
"key": "openssf_scorecard_ci_tests",
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"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
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"reconstruction",
"physics-experiment",
"simulation"
],
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"homepage": "https://acts-project.github.io",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
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"points": 30,
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"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
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"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
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"detail": "https://acts-project.github.io",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
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"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 4
}
}
],
"max_points": 10
},
{
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
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},
{
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"name": "Security",
"value": 33,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 33,
"inputs": {
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"lockfiles": [
"uv.lock"
],
"manifests": [
"codegen/pyproject.toml",
"codegen/requirements.txt",
"pyproject.toml"
],
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": true
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": "published library — lockfiles are an application concern, not expected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "lockfiles_not_expected",
"params": {}
}
],
"max_points": 25
},
{
"key": "codeql_workflow",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"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": "moderate",
"name": "AI Readiness",
"value": 60,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
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"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
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"legible_history_share": null,
"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",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 96,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": true,
"bootstrap_files": [
"Traccc/extras/root_to_csv/Makefile"
],
"has_devcontainer": true,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": "Traccc/extras/root_to_csv/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Traccc/extras/root_to_csv/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
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}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
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"detail": "devcontainer, Dockerfile, lockfile",
"points": 10,
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"details": [
{
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}
],
"max_points": 10
},
{
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"detail": "no data",
"points": 0,
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"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
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"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"largest_source_bytes": 993557,
"source_files_sampled": 3702,
"oversized_source_files": 8
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "C++ (statically typed)",
"points": 45,
"status": "met",
"details": [
{
"code": "statically_typed_language",
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"language": "C++"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "8/3702 source files over 60KB",
"points": 54.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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}
],
"max_points": 55
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]
},
{
"key": "ai_interfaces",
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"note": null,
"notes": [],
"value": 40,
"inputs": {
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"has_mcp_signal": false,
"api_schema_files": []
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"components": [
{
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"detail": null,
"points": 0,
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"details": [],
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},
{
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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{
"key": "runnable_examples",
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"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
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}
],
"max_points": 40
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]
}
],
"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": [
"pypi package 'codegen' points at a different repository (https://github.com/codegen-sh/codegen-sdk); excluded from ecosystem scoring",
"OpenSSF Scorecard did not return a usable result (Skipping github.com/acts-project/acts: run: RepoClient.LocalPath: error during tarballHandler.setup: internal error: handler.httpClient.Do: Get \"https://codeload.github.com/acts-project/acts/legacy.tar.gz/refs/heads/main\": internal error: innerTransport.RoundTrip: internal error: innerTransport.RoundTrip: error in HTTP: dial tcp: lookup codeload.github.com on 127.0.0.11:53: server misbehaving); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-17T20:06:44.166037Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/acts-project/acts.svg",
"full_name": "acts-project/acts",
"license_state": "standard",
"license_spdx": "MPL-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 v0.12.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.