Öffentliches RegisterExzellent
Software-GesundheitsberichtSchema 0.17.0 · Metriken 1.13.0 · 2026-07-21 04:43 UTC
PriorLabs / TabPFN
⚡ TabPFN: Foundation Model for Tabular Data ⚡
PriorLabs/TabPFN erreicht einen Gesundheitsindex von 86 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei AI Readiness (35/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
86
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.
86
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
Prior LabsOrganisation
380 Follower11 öffentliche Reposseit Sept. 2023
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 |
|---|---|---|---|---|---|
| PyPI | tabpfn | 8.1.0 | - | 56 | vor 7 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 — 504 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 504 |
| 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 — 23 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 7 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 6,9 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 23 |
| latest_release_tag | v8.1.0 |
| releases_from_tags | nein |
| days_since_latest_release | 7 |
| mean_days_between_releases | 6,9 |
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?
73
Popularität & Verbreitung
93Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 7.637 Stars |
| 24/25 | Forks — 758 Forks |
| 9.2/15 | Watcher — 46 Watcher |
Verwendete Eingangsdaten
| forks | 758 |
| stars | 7.637 |
| watchers | 46 |
| growth_state | organic |
| growth_factor_pct | 100 |
Community-Gesundheit
51Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | 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 | ja |
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 |
| 15.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 32 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 60 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 60 |
| top_contributor_share | 0,318 |
Reaktionsfähigkeit bei Issues & PRs
90Exzellent
Wie die Bewertung erfolgt
| 44.8/46.8 | Issue-Lösungsquote — 96 % der Issues geschlossen |
| 29.8/38.3 | PR-Annahme — 574/736 entschiedene PRs gemergt |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Verwendete Eingangsdaten
| merged_prs | 574 |
| open_issues | 15 |
| closed_issues | 349 |
| issue_closed_ratio | 0,959 |
| closed_unmerged_prs | 162 |
Eigentümerschaft & Trägerschaft
62Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 18.6/25 | Reichweite des Inhabers — 380 Follower von PriorLabs |
| 13.6/25 | Kontohistorie — 11 öffentliche Repos, Kontoalter ca. 2 Jahre |
Verwendete Eingangsdaten
| followers | 380 |
| owner_type | Organization |
| is_verified | — |
| owner_login | PriorLabs |
| public_repos | 11 |
| account_age_days | 1.047 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 7 Tagen |
| 20/20 | Versionshistorie — 56 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | tabpfn |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 7 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
96
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 9 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
100Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — http://priorlabs.ai |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 5 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | data-science, foundation-models, machine-learning, tabpfn, tabular-data |
| has_wiki | ja |
| homepage | http://priorlabs.ai |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
81
Sicherheitslage
76Gut
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 6 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 |
| 2.2/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 4/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
| 4.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 9 |
| 5/5 | Security-Policy — security policy file 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 | 7,6 |
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 |
| 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 | 0 |
| affected_packages | 0 |
| assessed_packages | 2 |
| unassessed_packages | 35 |
| affected_by_severity | none |
| 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. 2 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 35 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. 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.
35
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 8/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| 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
54Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 53.7/55 | Handhabbare Dateigrößen — 4/171 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 97.868 |
| source_files_sampled | 171 |
| oversized_source_files | 4 |
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
7.637GitHub-Sterne
60Mitwirkende
504Commits, letzte 12 Monate
0Tage seit letztem Push
23Releases
3Bus-Faktor
15offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- deps.dev does not index pypi:tabpfn@8.1.0; advisories assessed against the repository dependency graph instead
Weitere Details
Stern- und Fork-Verlauf 7.637 ★ / 0 ⇿
7.637Sterne
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.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
OpenSSF Scorecard 7.6 / 10
7.6Gesamtwert
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 |
| 1 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 6 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 |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 8 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 8 |
| 9 | SAST | SAST tool is not run on all commits -- score normalized to 9 |
| 10 | Security-Policy | security policy file 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 16
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | torch | >=2.5 | pyproject.toml |
| PyPI | safetensors | >=0.4.0 | pyproject.toml |
| PyPI | numpy | >=1.21.6 | pyproject.toml |
| PyPI | scikit-learn | >=1.2.0 | pyproject.toml |
| PyPI | typing_extensions | >=4.12.0 | pyproject.toml |
| PyPI | scipy | >=1.11.1 | pyproject.toml |
| PyPI | pandas | >=1.4.0 | pyproject.toml |
| PyPI | einops | >=0.4.0 | pyproject.toml |
| PyPI | huggingface-hub | >=0.23.0 | pyproject.toml |
| PyPI | pydantic | >=2.8.0 | pyproject.toml |
| PyPI | pydantic-settings | >=2.10.1 | pyproject.toml |
| PyPI | joblib | >=1.2.0 | pyproject.toml |
| PyPI | tqdm | >=4.66.0 | pyproject.toml |
| PyPI | filelock | >=3.11.0 | pyproject.toml |
| PyPI | lightgbm | >=3.0 | pyproject.toml |
| PyPI | mlx | >=0.29.3 | pyproject.toml |
Alle Abhängigkeiten 37
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 16 direkte und 21 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | einops | — | direkt |
| PyPI | filelock | — | direkt |
| PyPI | huggingface-hub | — | direkt |
| PyPI | joblib | — | direkt |
| PyPI | lightgbm | — | direkt |
| PyPI | mlx | — | direkt |
| PyPI | numpy | — | direkt |
| PyPI | pandas | — | direkt |
| PyPI | pydantic | — | direkt |
| PyPI | pydantic-settings | — | direkt |
| PyPI | safetensors | — | direkt |
| PyPI | scikit-learn | — | direkt |
| PyPI | scipy | — | direkt |
| PyPI | torch | — | direkt |
| PyPI | tqdm | — | direkt |
| PyPI | typing-extensions | — | direkt |
| PyPI | black | — | indirekt |
| PyPI | licensecheck | — | indirekt |
| PyPI | markdown-exec | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | mike | — | indirekt |
| PyPI | mkdocs | — | indirekt |
| PyPI | mkdocs-autorefs | — | indirekt |
| PyPI | mkdocs-gen-files | — | indirekt |
| PyPI | mkdocs-glightbox | — | indirekt |
| PyPI | mkdocs-literate-nav | — | indirekt |
| PyPI | mkdocs-material | — | indirekt |
| PyPI | mkdocstrings | — | indirekt |
| PyPI | mypy | 2.2.0 | indirekt |
| PyPI | onnx | — | indirekt |
| PyPI | pre-commit | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | pytest-mock | — | indirekt |
| PyPI | pytest-xdist | — | indirekt |
| PyPI | ruff | 0.15.12 | indirekt |
| PyPI | towncrier | — | indirekt |
| PyPI | wandb | — | indirekt |
Abhängigkeits-Advisories 0
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 2 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 0 tragen bekannte Advisories, davon 0 direkte. 35 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
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
{
"data": {
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"data-science",
"foundation-models",
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"tabpfn",
"tabular-data"
],
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"updated_at": "2026-07-21T03:04:10Z",
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},
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},
"activity": {
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"latest_release_tag": "v8.1.0",
"releases_from_tags": false,
"days_since_last_push": 0,
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"days_since_latest_release": 7,
"mean_days_between_releases": 6.9
},
"community": {
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"has_issue_template": false,
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"has_pull_request_template": true
},
"ecosystem": {
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{
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"keywords": [
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"Operating System :: MacOS",
"Operating System :: POSIX",
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"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering",
"Topic :: Software Development"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/tabpfn/",
"is_deprecated": false,
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"repository_url": "https://github.com/priorlabs/tabpfn",
"versions_count": 56,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
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}
],
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{
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}
],
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{
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{
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"points": 10,
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"max_points": 10
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]
},
{
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"notes": [
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{
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],
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"inputs": {
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"mean_days_between_releases": 6.9
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"components": [
{
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}
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{
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{
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{
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],
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]
},
{
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"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
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"guards": [],
"signals": [],
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],
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]
}
],
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},
{
"key": "community",
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"weight": 0.18,
"metrics": [
{
"key": "popularity",
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"note": null,
"notes": [],
"value": 93,
"inputs": {
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}
],
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{
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"count": 758
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}
],
"max_points": 25
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{
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]
},
{
"key": "community_health",
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"note": null,
"notes": [],
"value": 51,
"inputs": {
"has_readme": true,
"has_license": true,
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"has_pull_request_template": true
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"components": [
{
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{
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{
"code": "license_custom",
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],
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{
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{
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},
{
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{
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]
}
],
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},
{
"key": "governance",
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"value": 80,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
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"notes": [],
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"components": [
{
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"code": "bus_factor",
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}
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{
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}
],
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{
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{
"key": "openssf_scorecard_contributors",
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"max_points": 10
}
]
},
{
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"note": null,
"notes": [],
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"issue_closed_ratio": 0.959,
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"components": [
{
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"status": "partial",
"details": [
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}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
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"points": 29.8,
"status": "partial",
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],
"max_points": 38.25
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{
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]
},
{
"key": "stewardship",
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"note": null,
"notes": [],
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"inputs": {
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"is_verified": null,
"owner_login": "PriorLabs",
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"account_age_days": 1047
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"components": [
{
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"details": [
{
"code": "owner_organization",
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}
],
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{
"key": "verified_domain",
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"detail": null,
"points": 0,
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{
"key": "owner_reach",
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"points": 18.6,
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"code": "owner_followers",
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"login": "PriorLabs"
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}
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{
"key": "track_record",
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"detail": "11 public repos, account ~2 yr old",
"points": 13.6,
"status": "partial",
"details": [
{
"code": "public_repos",
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"count": 11
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},
{
"code": "account_age_years",
"params": {
"years": 2
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}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"tabpfn"
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 7
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
"max_points": 25
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{
"key": "publish_recency",
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"detail": "latest publish 7 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 7
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "56 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 56
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"detail": "active, not deprecated or yanked",
"points": 20,
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"details": [
{
"code": "package_not_deprecated",
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}
],
"max_points": 20
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]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 96,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
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"name": "CI workflows",
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"code": "ci_workflows",
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}
],
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{
"key": "tests_present",
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"points": 24,
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"details": [],
"max_points": 24
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{
"key": "linter_config",
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{
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{
"key": "editorconfig",
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"detail": null,
"points": 0,
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{
"key": "openssf_scorecard_ci_tests",
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"details": [],
"max_points": 20
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]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
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"tabular-data"
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"has_docs_dir": true,
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"components": [
{
"key": "readme",
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"max_points": 30
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{
"key": "documentation_directory",
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"points": 25,
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"details": [],
"max_points": 25
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{
"key": "documentation_homepage_site",
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"points": 15,
"status": "met",
"details": [],
"max_points": 15
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{
"key": "repository_description",
"name": "Repository description",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
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{
"key": "topics",
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"points": 10,
"status": "met",
"details": [
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"code": "topics_count",
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}
],
"max_points": 10
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
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{
"key": "security",
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"name": "Security",
"value": 81,
"weight": 0.16,
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{
"key": "security_posture",
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"notes": [
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"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 76,
"inputs": {
"source": "openssf_scorecard",
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"checks_inconclusive": 1,
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"components": [
{
"key": "binary_artifacts",
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"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
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"detail": "branch protection is not maximal on development and all release branches",
"points": 0.8,
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{
"key": "ci_tests",
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"details": [],
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{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
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"status": "missed",
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{
"key": "code_review",
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"points": 7.5,
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{
"key": "contributors",
"name": "Contributors",
"detail": "project has 6 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": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 10 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 8",
"points": 4,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 9",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"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",
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"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 2 resolved dependencies against OSV; 35 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
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}
},
{
"code": "weights_renormalized",
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{
"code": "advisories_scope_repository",
"params": {
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},
{
"code": "advisories_unassessed",
"params": {
"count": 35
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
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}
],
"value": 100,
"inputs": {
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"affected_packages": 0,
"assessed_packages": 2,
"unassessed_packages": 35,
"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",
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}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
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},
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"red_flag": false,
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"direct_malicious_packages": 0,
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},
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}
],
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]
},
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
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"Iran",
"North Korea"
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},
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}
],
"max_points": 100
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]
}
],
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},
{
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"components": [
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{
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},
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{
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{
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},
{
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},
{
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{
"code": "weights_renormalized",
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"lockfiles": [],
"has_dockerfile": false,
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"toolchain_manifests": [],
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},
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{
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"points": 0,
"status": "missed",
"details": [],
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},
{
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"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
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"points": 11,
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"max_points": 11
},
{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "excluded",
"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",
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"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
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"note": null,
"notes": [],
"value": 54,
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"components": [
{
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],
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},
{
"key": "manageable_file_sizes",
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"status": "partial",
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{
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"oversized": 4
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}
],
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]
},
{
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"notes": [],
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"inputs": {
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{
"key": "api_schema_openapi_graphql_proto",
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"points": 0,
"status": "missed",
"details": [],
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},
{
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"points": 0,
"status": "missed",
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{
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{
"code": "file_list",
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],
"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": [
"deps.dev does not index pypi:tabpfn@8.1.0; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-07-21T04:43:48.682569Z",
"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PriorLabs/TabPFN.svg",
"full_name": "PriorLabs/TabPFN",
"license_state": "custom",
"license_spdx": null
}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 v0.17.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.