Öffentliches RegisterExzellent
Software-GesundheitsberichtSchema 0.16.0 · Metriken 1.13.0 · 2026-07-21 01:14 UTC
stanfordnlp / dspy
DSPy: The framework for programming—not prompting—language models
stanfordnlp/dspy erreicht einen Gesundheitsindex von 87 von 100 und liegt damit im Bereich Exzellent. Am stärksten schneidet es bei Vitality (99/100) ab, am schwächsten bei AI Readiness (42/100). Zuletzt heute aktualisiert. 4 Mitwirkende tragen den Großteil der jüngsten Arbeit.
87
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.
87
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
Stanford NLPOrganisation
2.683 Follower55 öffentliche Reposseit Dez. 2012
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 | dspy | 3.2.1 | - | 106 | vor 76 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 — 490 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 490 |
| 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 54 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 24,2 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 100 |
| latest_release_tag | 3.3.0b1 |
| releases_from_tags | nein |
| days_since_latest_release | 54 |
| mean_days_between_releases | 24,2 |
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?
85
Popularität & Verbreitung
98Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 36.262 Stars |
| 25/25 | Forks — 3.117 Forks |
| 12.8/15 | Watcher — 202 Watcher |
Verwendete Eingangsdaten
| forks | 3.117 |
| stars | 36.262 |
| watchers | 202 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 18/18 | 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 | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
82
Wie die Bewertung erfolgt
| 43.2/54 | Bus-Faktor — 4 Beitragende decken die Hälfte aller Commits ab |
| 16.1/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 28 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 4 |
| contributors_sampled | 100 |
| top_contributor_share | 0,285 |
Wie die Bewertung erfolgt
| 38/46.8 | Issue-Lösungsquote — 81 % der Issues geschlossen |
| 27/38.3 | PR-Annahme — 1.649/2.337 entschiedene PRs gemergt |
| 4.5/15 | OpenSSF Scorecard: Code-Review — Found 10/26 approved changesets -- score normalized to 3 |
Verwendete Eingangsdaten
| merged_prs | 1.649 |
| open_issues | 307 |
| closed_issues | 1.331 |
| issue_closed_ratio | 0,813 |
| closed_unmerged_prs | 688 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 24.7/25 | Reichweite des Inhabers — 2.683 Follower von stanfordnlp |
| 24.7/25 | Kontohistorie — 55 öffentliche Repos, Kontoalter ca. 13 Jahre |
Verwendete Eingangsdaten
| followers | 2.683 |
| owner_type | Organization |
| is_verified | — |
| owner_login | stanfordnlp |
| public_repos | 55 |
| account_age_days | 4.966 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 76 Tagen |
| 20/20 | Versionshistorie — 106 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | dspy |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 76 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
92
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 5 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
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://dspy.ai |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://dspy.ai |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
73
Sicherheitslage
69Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/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 |
| 2.2/7.5 | Code-Review — Found 10/26 approved changesets -- score normalized to 3 |
| 2.5/2.5 | Contributors — project has 22 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 — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 3.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7 |
| 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 |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 0/7.5 | Vulnerabilities — 147 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6,9 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
89Exzellent
Wie die Bewertung erfolgt
| 26.6/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: diskcache 5.6.3 (moderate) |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 37.2/40 | Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 159 Tagen veröffentlicht |
Verwendete Eingangsdaten
| source | osv |
| advisories | 2 |
| affected_packages | 1 |
| assessed_packages | 59 |
| unassessed_packages | 0 |
| affected_by_severity | moderate 1 |
| direct_affected_packages | 1 |
Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:dspy@3.2.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 59 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.
42
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 |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 7/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | Pipfile.lock, uv.lock |
| 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 |
| 53.5/55 | Handhabbare Dateigrößen — 7/261 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 114.651 |
| source_files_sampled | 261 |
| oversized_source_files | 7 |
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | ja |
| api_schema_files | — |
Eckdaten
36.262GitHub-Sterne
100Mitwirkende
490Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
4Bus-Faktor
307offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 6.9 / 10
6.9Gesamtwert
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 |
| 0 | Branch-Protection | branch protection not enabled on development/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 |
| 3 | Code-Review | Found 10/26 approved changesets -- score normalized to 3 |
| 10 | Contributors | project has 22 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 | 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 7 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 7 |
| 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 |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 0 | Vulnerabilities | 147 existing vulnerabilities detected |
Direkte Abhängigkeiten 14
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | openai | >=1.66.2 | pyproject.toml |
| PyPI | regex | >=2023.10.3 | pyproject.toml |
| PyPI | orjson | >=3.9.0 | pyproject.toml |
| PyPI | tqdm | >=4.66.1 | pyproject.toml |
| PyPI | requests | >=2.31.0 | pyproject.toml |
| PyPI | pydantic | >=2.0 | pyproject.toml |
| PyPI | litellm | >=1.65.8 | pyproject.toml |
| PyPI | diskcache | >=5.6.0 | pyproject.toml |
| PyPI | json-repair | >=0.54.2 | pyproject.toml |
| PyPI | tenacity | >=8.2.3 | pyproject.toml |
| PyPI | anyio | — | pyproject.toml |
| PyPI | cachetools | >=5.5.0 | pyproject.toml |
| PyPI | cloudpickle | >=3.1.2 | pyproject.toml |
| PyPI | gepa | ==0.1.1 | pyproject.toml |
Alle Abhängigkeiten 293
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 26 direkte und 267 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | anyio | 4.13.0 | direkt |
| PyPI | anyio | 4.9.0 | direkt |
| PyPI | cachetools | 5.5.2 | direkt |
| PyPI | cachetools | 7.1.1 | direkt |
| PyPI | cloudpickle | 3.1.1 | direkt |
| PyPI | cloudpickle | 3.1.2 | direkt |
| PyPI | diskcache | 5.6.3 | direkt |
| PyPI | gepa | 0.1.1 | direkt |
| PyPI | json-repair | 0.40.0 | direkt |
| PyPI | json-repair | 0.54.2 | direkt |
| PyPI | litellm | 1.63.7 | direkt |
| PyPI | litellm | 1.68.0 | direkt |
| PyPI | litellm | 1.72.6 | direkt |
| PyPI | openai | 1.61.0 | direkt |
| PyPI | openai | 1.75.0 | direkt |
| PyPI | openai | 1.88.0 | direkt |
| PyPI | orjson | 3.11.8 | direkt |
| PyPI | pydantic | 2.10.6 | direkt |
| PyPI | pydantic | 2.12.4 | direkt |
| PyPI | regex | 2024.11.6 | direkt |
| PyPI | regex | 2026.5.9 | direkt |
| PyPI | requests | 2.33.1 | direkt |
| PyPI | tenacity | 9.0.0 | direkt |
| PyPI | tenacity | 9.1.4 | direkt |
| PyPI | tqdm | 4.67.1 | direkt |
| PyPI | tqdm | 4.67.3 | direkt |
| PyPI | aiohappyeyeballs | 2.6.1 | indirekt |
| PyPI | aiohttp | 3.11.14 | indirekt |
| PyPI | aiohttp | 3.13.2 | indirekt |
| PyPI | aiosignal | 1.3.2 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | alembic | 1.15.1 | indirekt |
| PyPI | alembic | 1.16.2 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anthropic | 0.102.0 | indirekt |
| PyPI | apscheduler | 3.11.0 | indirekt |
| PyPI | argcomplete | 3.6.2 | indirekt |
| PyPI | asttokens | 3.0.1 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | asyncer | 0.0.8 | indirekt |
| PyPI | attrs | 25.3.0 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | authlib | 1.6.12 | indirekt |
| PyPI | authlib | 1.7.2 | indirekt |
| PyPI | babel | 2.18.0 | indirekt |
| PyPI | backoff | 2.2.1 | indirekt |
| PyPI | backports-asyncio-runner | 1.2.0 | indirekt |
| PyPI | backrefs | 7.0 | indirekt |
| PyPI | beautifulsoup4 | 4.14.3 | indirekt |
| PyPI | black | 25.1.0 | indirekt |
| PyPI | bleach | 6.3.0 | indirekt |
| PyPI | boto3 | 1.34.34 | indirekt |
| PyPI | botocore | 1.34.162 | indirekt |
| PyPI | build | 1.2.2.post1 | indirekt |
| PyPI | cairocffi | 1.7.1 | indirekt |
| PyPI | cairosvg | 2.9.0 | indirekt |
| PyPI | certifi | 2025.6.15 | indirekt |
| PyPI | certifi | 2026.4.22 | indirekt |
| PyPI | cffi | 1.17.1 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | cfgv | 3.4.0 | indirekt |
| PyPI | charset-normalizer | 3.4.2 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | click | 8.2.1 | indirekt |
| PyPI | click | 8.3.3 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | colorlog | 6.9.0 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | cryptography | 43.0.3 | indirekt |
| PyPI | cryptography | 45.0.4 | indirekt |
| PyPI | cssselect2 | 0.9.0 | indirekt |
| PyPI | datamodel-code-generator | 0.56.1 | indirekt |
| PyPI | datasets | 3.4.1 | indirekt |
| PyPI | datasets | 3.6.0 | indirekt |
| PyPI | debugpy | 1.8.20 | indirekt |
| PyPI | decorator | 5.2.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | dill | 0.3.8 | indirekt |
| PyPI | distlib | 0.3.9 | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | dnspython | 2.7.0 | indirekt |
| PyPI | docstring-parser | 0.17.0 | indirekt |
| PyPI | dspy | — | indirekt |
| PyPI | dspy | 3.2.1 | indirekt |
| PyPI | email-validator | 2.2.0 | indirekt |
| PyPI | exceptiongroup | 1.3.0 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastapi | 0.115.13 | indirekt |
| PyPI | fastapi-sso | 0.16.0 | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | filelock | 3.18.0 | indirekt |
| PyPI | frozenlist | 1.5.0 | indirekt |
| PyPI | frozenlist | 1.7.0 | indirekt |
| PyPI | fsspec | 2024.12.0 | indirekt |
| PyPI | fsspec | 2025.3.0 | indirekt |
| PyPI | genson | 1.3.0 | indirekt |
| PyPI | ghp-import | 2.1.0 | indirekt |
| PyPI | greenlet | 3.1.1 | indirekt |
| PyPI | greenlet | 3.2.3 | indirekt |
| PyPI | griffe | 1.6.2 | indirekt |
| PyPI | griffelib | 2.0.2 | indirekt |
| PyPI | grpcio | 1.73.0 | indirekt |
| PyPI | gunicorn | 23.0.0 | indirekt |
| PyPI | h11 | 0.14.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hf-xet | 1.1.4 | indirekt |
| PyPI | httpcore | 1.0.7 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.27.0 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | httpx-sse | 0.4.0 | indirekt |
| PyPI | huggingface-hub | 0.29.3 | indirekt |
| PyPI | huggingface-hub | 0.33.0 | indirekt |
| PyPI | identify | 2.6.12 | indirekt |
| PyPI | idna | 3.10 | indirekt |
| PyPI | idna | 3.13 | indirekt |
| PyPI | importlib-metadata | 8.6.1 | indirekt |
| PyPI | importlib-metadata | 8.7.0 | indirekt |
| PyPI | inflect | 7.5.0 | indirekt |
| PyPI | iniconfig | 2.1.0 | indirekt |
| PyPI | ipykernel | 7.2.0 | indirekt |
| PyPI | ipython | 9.13.0 | indirekt |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirekt |
| PyPI | isort | 6.0.1 | indirekt |
| PyPI | jedi | 0.19.2 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jiter | 0.10.0 | indirekt |
| PyPI | jiter | 0.9.0 | indirekt |
| PyPI | jmespath | 1.0.1 | indirekt |
| PyPI | joblib | 1.4.2 | indirekt |
| PyPI | joserfc | 1.6.5 | indirekt |
| PyPI | jsonpatch | 1.33 | indirekt |
| PyPI | jsonpointer | 3.0.0 | indirekt |
| PyPI | jsonschema | 4.23.0 | indirekt |
| PyPI | jsonschema | 4.24.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.4.1 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | jupyter-client | 8.8.0 | indirekt |
| PyPI | jupyter-core | 5.9.1 | indirekt |
| PyPI | jupyterlab-pygments | 0.3.0 | indirekt |
| PyPI | jupytext | 1.19.1 | indirekt |
| PyPI | langchain-core | 1.0.4 | indirekt |
| PyPI | langsmith | 0.4.42 | indirekt |
| PyPI | litellm-proxy-extras | 0.1.15 | indirekt |
| PyPI | magicattr | 0.1.6 | indirekt |
| PyPI | mako | 1.3.10 | indirekt |
| PyPI | mako | 1.3.9 | indirekt |
| PyPI | markdown | 3.10.2 | indirekt |
| PyPI | markdown-it-py | 4.0.0 | indirekt |
| PyPI | markupsafe | 3.0.2 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib-inline | 0.2.1 | indirekt |
| PyPI | mcp | 1.5.0 | indirekt |
| PyPI | mcp | 1.9.4 | indirekt |
| PyPI | mdit-py-plugins | 0.5.0 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mergedeep | 1.3.4 | indirekt |
| PyPI | mistune | 3.2.1 | indirekt |
| PyPI | mkdocs | 1.6.1 | indirekt |
| PyPI | mkdocs-autorefs | 1.4.4 | indirekt |
| PyPI | mkdocs-get-deps | 0.2.2 | indirekt |
| PyPI | mkdocs-jupyter | — | indirekt |
| PyPI | mkdocs-jupyter | 0.26.3 | indirekt |
| PyPI | mkdocs-llmstxt | — | indirekt |
| PyPI | mkdocs-material | — | indirekt |
| PyPI | mkdocs-material | 9.7.6 | indirekt |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirekt |
| PyPI | mkdocs-redirects | — | indirekt |
| PyPI | mkdocs-redirects | 1.2.3 | indirekt |
| PyPI | mkdocstrings | — | indirekt |
| PyPI | mkdocstrings | 1.0.4 | indirekt |
| PyPI | mkdocstrings-python | — | indirekt |
| PyPI | mkdocstrings-python | 2.0.3 | indirekt |
| PyPI | more-itertools | 10.7.0 | indirekt |
| PyPI | multidict | 6.2.0 | indirekt |
| PyPI | multidict | 6.5.0 | indirekt |
| PyPI | multiprocess | 0.70.16 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | nbclient | 0.10.4 | indirekt |
| PyPI | nbconvert | 7.17.1 | indirekt |
| PyPI | nbformat | 5.10.4 | indirekt |
| PyPI | nest-asyncio | 1.6.0 | indirekt |
| PyPI | nodeenv | 1.9.1 | indirekt |
| PyPI | numpy | 2.2.4 | indirekt |
| PyPI | numpy | 2.2.6 | indirekt |
| PyPI | numpy | 2.3.4 | indirekt |
| PyPI | oauthlib | 3.3.0 | indirekt |
| PyPI | optuna | 4.2.1 | indirekt |
| PyPI | optuna | 4.8.0 | indirekt |
| PyPI | packaging | 24.2 | indirekt |
| PyPI | packaging | 26.2 | indirekt |
| PyPI | paginate | 0.5.7 | indirekt |
| PyPI | pandas | 2.2.3 | indirekt |
| PyPI | pandas | 2.3.3 | indirekt |
| PyPI | pandocfilters | 1.5.1 | indirekt |
| PyPI | parso | 0.8.6 | indirekt |
| PyPI | pathspec | 0.12.1 | indirekt |
| PyPI | pathspec | 1.1.1 | indirekt |
| PyPI | pexpect | 4.9.0 | indirekt |
| PyPI | pillow | 12.0.0 | indirekt |
| PyPI | pillow | 12.2.0 | indirekt |
| PyPI | platformdirs | 4.3.8 | indirekt |
| PyPI | platformdirs | 4.9.6 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | pre-commit | 4.6.0 | indirekt |
| PyPI | prompt-toolkit | 3.0.52 | indirekt |
| PyPI | propcache | 0.3.0 | indirekt |
| PyPI | propcache | 0.3.2 | indirekt |
| PyPI | properdocs | 1.6.7 | indirekt |
| PyPI | protobuf | 6.31.1 | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | ptyprocess | 0.7.0 | indirekt |
| PyPI | pure-eval | 0.2.3 | indirekt |
| PyPI | pyarrow | 19.0.1 | indirekt |
| PyPI | pyarrow | 22.0.0 | indirekt |
| PyPI | pycparser | 2.22 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic-core | 2.27.2 | indirekt |
| PyPI | pydantic-core | 2.41.5 | indirekt |
| PyPI | pydantic-settings | 2.9.1 | indirekt |
| PyPI | pygments | 2.19.1 | indirekt |
| PyPI | pygments | 2.20.0 | indirekt |
| PyPI | pyjwt | 2.10.1 | indirekt |
| PyPI | pymdown-extensions | 10.21.3 | indirekt |
| PyPI | pynacl | 1.5.0 | indirekt |
| PyPI | pyproject-hooks | 1.2.0 | indirekt |
| PyPI | pytest | 8.4.2 | indirekt |
| PyPI | pytest-asyncio | 1.3.0 | indirekt |
| PyPI | pytest-mock | 3.14.1 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-dotenv | 1.0.1 | indirekt |
| PyPI | python-dotenv | 1.1.0 | indirekt |
| PyPI | python-multipart | 0.0.18 | indirekt |
| PyPI | python-multipart | 0.0.20 | indirekt |
| PyPI | pytz | 2025.1 | indirekt |
| PyPI | pytz | 2025.2 | indirekt |
| PyPI | pyyaml | 6.0.2 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyyaml-env-tag | 1.1 | indirekt |
| PyPI | pyzmq | 27.1.0 | indirekt |
| PyPI | redis | 6.2.0 | indirekt |
| PyPI | referencing | 0.36.2 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | requests-toolbelt | 1.0.0 | indirekt |
| PyPI | rich | 13.9.4 | indirekt |
| PyPI | rpds-py | 0.25.1 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | rq | 2.4.0 | indirekt |
| PyPI | ruff | 0.15.10 | indirekt |
| PyPI | s3transfer | 0.10.4 | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | soupsieve | 2.8.3 | indirekt |
| PyPI | sqlalchemy | 2.0.39 | indirekt |
| PyPI | sqlalchemy | 2.0.41 | indirekt |
| PyPI | sse-starlette | 2.3.6 | indirekt |
| PyPI | stack-data | 0.6.3 | indirekt |
| PyPI | starlette | 0.46.2 | indirekt |
| PyPI | starlette | 0.47.0 | indirekt |
| PyPI | tiktoken | 0.12.0 | indirekt |
| PyPI | tiktoken | 0.9.0 | indirekt |
| PyPI | tinycss2 | 1.4.0 | indirekt |
| PyPI | tokenizers | 0.21.1 | indirekt |
| PyPI | tomli | 2.2.1 | indirekt |
| PyPI | tornado | 6.5.5 | indirekt |
| PyPI | traitlets | 5.14.3 | indirekt |
| PyPI | typeguard | 4.5.1 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | tzdata | 2025.2 | indirekt |
| PyPI | tzlocal | 5.3.1 | indirekt |
| PyPI | ujson | 5.10.0 | indirekt |
| PyPI | urllib3 | 2.4.0 | indirekt |
| PyPI | urllib3 | 2.6.3 | indirekt |
| PyPI | uvicorn | 0.29.0 | indirekt |
| PyPI | uvicorn | 0.34.3 | indirekt |
| PyPI | uvloop | 0.21.0 | indirekt |
| PyPI | validators | 0.35.0 | indirekt |
| PyPI | virtualenv | 20.31.2 | indirekt |
| PyPI | watchdog | 6.0.0 | indirekt |
| PyPI | wcwidth | 0.6.0 | indirekt |
| PyPI | weaviate-client | 4.21.0 | indirekt |
| PyPI | webencodings | 0.5.1 | indirekt |
| PyPI | websockets | 13.1 | indirekt |
| PyPI | wheel | — | indirekt |
| PyPI | xxhash | 3.5.0 | indirekt |
| PyPI | xxhash | 3.6.0 | indirekt |
| PyPI | yarl | 1.18.3 | indirekt |
| PyPI | yarl | 1.20.1 | indirekt |
| PyPI | zipp | 3.21.0 | indirekt |
| PyPI | zipp | 3.23.0 | indirekt |
| PyPI | zstandard | 0.25.0 | indirekt |
Abhängigkeits-Advisories 1
Die Installation von pypi:dspy@3.2.1 zieht 59 Pakete nach sich, direkt und transitiv: 1 tragen bekannte Advisories, davon 1 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| diskcache | 5.6.3 | direkt | mittel | 2 | — |
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": {
"repo": {
"topics": [],
"is_fork": false,
"size_kb": 179693,
"has_wiki": true,
"homepage": "https://dspy.ai",
"languages": {
"Python": 2447405,
"JavaScript": 13574
},
"pushed_at": "2026-07-20T15:18:05Z",
"created_at": "2023-01-09T21:01:51Z",
"owner_type": "Organization",
"updated_at": "2026-07-20T23:13:39Z",
"description": "DSPy: The framework for programming—not prompting—language models",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "main",
"license_spdx_raw": "MIT",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "nlp.stanford.edu",
"name": "Stanford NLP",
"type": "Organization",
"login": "stanfordnlp",
"company": null,
"location": "Stanford, CA",
"followers": 2683,
"avatar_url": "https://avatars.githubusercontent.com/u/3046006?v=4",
"created_at": "2012-12-14T22:11:35Z",
"is_verified": null,
"public_repos": 55,
"account_age_days": 4966
},
"license": {
"state": "standard",
"spdx_id": "MIT",
"raw_spdx": "MIT",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases_count": 100,
"commits_last_year": 490,
"latest_release_at": "2026-05-28T01:11:39Z",
"latest_release_tag": "3.3.0b1",
"releases_from_tags": false,
"days_since_last_push": 0,
"active_weeks_last_year": 51,
"days_since_latest_release": 54,
"mean_days_between_releases": 24.2
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 75,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": [
{
"name": "dspy",
"exists": true,
"license": null,
"keywords": [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3"
],
"ecosystem": "pypi",
"matches_repo": true,
"registry_url": "https://pypi.org/project/dspy/",
"is_deprecated": false,
"latest_version": "3.2.1",
"repository_url": "https://github.com/stanfordnlp/dspy",
"versions_count": 106,
"total_downloads": null,
"dependents_count": null,
"deprecation_note": null,
"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2024-04-14T22:02:23.271271Z",
"latest_published_at": "2026-05-05T19:35:07.471774Z",
"latest_version_yanked": null,
"days_since_latest_publish": 76
}
]
},
"popularity": {
"forks": 3117,
"stars": 36262,
"watchers": 202,
"open_issues_and_prs": 615
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples",
"notebooks"
],
"has_llms_txt": false,
"has_dockerfile": false,
"has_mcp_signal": true,
"bootstrap_files": [],
"api_schema_files": [],
"has_devcontainer": false,
"typecheck_configs": [],
"largest_source_bytes": 114651,
"source_files_sampled": 261,
"oversized_source_files": 7,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"docs/Pipfile",
"docs/requirements.txt",
"pyproject.toml"
],
"advisories": {
"error": null,
"scope": "published_package",
"source": "osv",
"findings": [
{
"name": "diskcache",
"direct": true,
"version": "5.6.3",
"severity": "moderate",
"ecosystem": "pypi",
"cvss_score": null,
"advisory_ids": [
"GHSA-w8v5-vhqr-4h9v",
"PYSEC-2026-2447"
],
"fixed_version": null,
"advisory_count": 2,
"oldest_advisory_days": 159
}
],
"collected": true,
"truncated": false,
"by_severity": {
"moderate": 1
},
"advisory_count": 2,
"affected_count": 1,
"assessed_count": 59,
"assessed_package": "pypi:dspy@3.2.1",
"unassessed_count": 0,
"direct_affected_count": 1
},
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "openai",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.66.2"
},
{
"name": "regex",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2023.10.3"
},
{
"name": "orjson",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=3.9.0"
},
{
"name": "tqdm",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=4.66.1"
},
{
"name": "requests",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.31.0"
},
{
"name": "pydantic",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2.0"
},
{
"name": "litellm",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=1.65.8"
},
{
"name": "diskcache",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=5.6.0"
},
{
"name": "json-repair",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=0.54.2"
},
{
"name": "tenacity",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=8.2.3"
},
{
"name": "anyio",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "cachetools",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=5.5.0"
},
{
"name": "cloudpickle",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=3.1.2"
},
{
"name": "gepa",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": "==0.1.1"
}
],
"all_dependencies": {
"error": null,
"source": "github-sbom",
"packages": [
{
"name": "anyio",
"direct": true,
"version": "4.13.0",
"ecosystem": "pypi"
},
{
"name": "anyio",
"direct": true,
"version": "4.9.0",
"ecosystem": "pypi"
},
{
"name": "cachetools",
"direct": true,
"version": "5.5.2",
"ecosystem": "pypi"
},
{
"name": "cachetools",
"direct": true,
"version": "7.1.1",
"ecosystem": "pypi"
},
{
"name": "cloudpickle",
"direct": true,
"version": "3.1.1",
"ecosystem": "pypi"
},
{
"name": "cloudpickle",
"direct": true,
"version": "3.1.2",
"ecosystem": "pypi"
},
{
"name": "diskcache",
"direct": true,
"version": "5.6.3",
"ecosystem": "pypi"
},
{
"name": "gepa",
"direct": true,
"version": "0.1.1",
"ecosystem": "pypi"
},
{
"name": "json-repair",
"direct": true,
"version": "0.40.0",
"ecosystem": "pypi"
},
{
"name": "json-repair",
"direct": true,
"version": "0.54.2",
"ecosystem": "pypi"
},
{
"name": "litellm",
"direct": true,
"version": "1.63.7",
"ecosystem": "pypi"
},
{
"name": "litellm",
"direct": true,
"version": "1.68.0",
"ecosystem": "pypi"
},
{
"name": "litellm",
"direct": true,
"version": "1.72.6",
"ecosystem": "pypi"
},
{
"name": "openai",
"direct": true,
"version": "1.61.0",
"ecosystem": "pypi"
},
{
"name": "openai",
"direct": true,
"version": "1.75.0",
"ecosystem": "pypi"
},
{
"name": "openai",
"direct": true,
"version": "1.88.0",
"ecosystem": "pypi"
},
{
"name": "orjson",
"direct": true,
"version": "3.11.8",
"ecosystem": "pypi"
},
{
"name": "pydantic",
"direct": true,
"version": "2.10.6",
"ecosystem": "pypi"
},
{
"name": "pydantic",
"direct": true,
"version": "2.12.4",
"ecosystem": "pypi"
},
{
"name": "regex",
"direct": true,
"version": "2024.11.6",
"ecosystem": "pypi"
},
{
"name": "regex",
"direct": true,
"version": "2026.5.9",
"ecosystem": "pypi"
},
{
"name": "requests",
"direct": true,
"version": "2.33.1",
"ecosystem": "pypi"
},
{
"name": "tenacity",
"direct": true,
"version": "9.0.0",
"ecosystem": "pypi"
},
{
"name": "tenacity",
"direct": true,
"version": "9.1.4",
"ecosystem": "pypi"
},
{
"name": "tqdm",
"direct": true,
"version": "4.67.1",
"ecosystem": "pypi"
},
{
"name": "tqdm",
"direct": true,
"version": "4.67.3",
"ecosystem": "pypi"
},
{
"name": "aiohappyeyeballs",
"direct": false,
"version": "2.6.1",
"ecosystem": "pypi"
},
{
"name": "aiohttp",
"direct": false,
"version": "3.11.14",
"ecosystem": "pypi"
},
{
"name": "aiohttp",
"direct": false,
"version": "3.13.2",
"ecosystem": "pypi"
},
{
"name": "aiosignal",
"direct": false,
"version": "1.3.2",
"ecosystem": "pypi"
},
{
"name": "aiosignal",
"direct": false,
"version": "1.4.0",
"ecosystem": "pypi"
},
{
"name": "alembic",
"direct": false,
"version": "1.15.1",
"ecosystem": "pypi"
},
{
"name": "alembic",
"direct": false,
"version": "1.16.2",
"ecosystem": "pypi"
},
{
"name": "annotated-types",
"direct": false,
"version": "0.7.0",
"ecosystem": "pypi"
},
{
"name": "anthropic",
"direct": false,
"version": "0.102.0",
"ecosystem": "pypi"
},
{
"name": "apscheduler",
"direct": false,
"version": "3.11.0",
"ecosystem": "pypi"
},
{
"name": "argcomplete",
"direct": false,
"version": "3.6.2",
"ecosystem": "pypi"
},
{
"name": "asttokens",
"direct": false,
"version": "3.0.1",
"ecosystem": "pypi"
},
{
"name": "async-timeout",
"direct": false,
"version": "5.0.1",
"ecosystem": "pypi"
},
{
"name": "asyncer",
"direct": false,
"version": "0.0.8",
"ecosystem": "pypi"
},
{
"name": "attrs",
"direct": false,
"version": "25.3.0",
"ecosystem": "pypi"
},
{
"name": "attrs",
"direct": false,
"version": "26.1.0",
"ecosystem": "pypi"
},
{
"name": "authlib",
"direct": false,
"version": "1.6.12",
"ecosystem": "pypi"
},
{
"name": "authlib",
"direct": false,
"version": "1.7.2",
"ecosystem": "pypi"
},
{
"name": "babel",
"direct": false,
"version": "2.18.0",
"ecosystem": "pypi"
},
{
"name": "backoff",
"direct": false,
"version": "2.2.1",
"ecosystem": "pypi"
},
{
"name": "backports-asyncio-runner",
"direct": false,
"version": "1.2.0",
"ecosystem": "pypi"
},
{
"name": "backrefs",
"direct": false,
"version": "7.0",
"ecosystem": "pypi"
},
{
"name": "beautifulsoup4",
"direct": false,
"version": "4.14.3",
"ecosystem": "pypi"
},
{
"name": "black",
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{
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{
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{
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{
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{
"key": "stewardship",
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{
"key": "owner_reach",
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{
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"points": 24.7,
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{
"key": "package_maintenance",
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"inputs": {
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"components": [
{
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"details": [
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"code": "packages_published",
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],
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{
"key": "publish_recency",
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"detail": "latest publish 76 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
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"days": 76
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}
],
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{
"key": "version_history",
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"detail": "106 published versions",
"points": 20,
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{
"code": "published_versions",
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"count": 106
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"points": 20,
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"details": [
{
"code": "package_not_deprecated",
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],
"max_points": 20
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]
}
],
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},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 92,
"weight": 0.2,
"metrics": [
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"key": "engineering_practices",
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"note": null,
"notes": [],
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"details": [
{
"code": "ci_workflows",
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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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"points": 16,
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"details": [],
"max_points": 16
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{
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{
"key": "editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [],
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"has_readme": true,
"has_docs_dir": true,
"has_description": true
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"components": [
{
"key": "readme",
"name": "README",
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"points": 30,
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"details": [],
"max_points": 30
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{
"key": "documentation_directory",
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"detail": null,
"points": 25,
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"details": [],
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{
"key": "documentation_homepage_site",
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{
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{
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"points": 0,
"status": "missed",
"details": [],
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
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]
}
],
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{
"key": "security",
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"name": "Security",
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"metrics": [
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"components": [
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{
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{
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{
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{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
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"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
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"detail": "update tool detected",
"points": 7.5,
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{
"key": "fuzzing",
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"status": "missed",
"details": [],
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},
{
"key": "license",
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"points": 2.5,
"status": "met",
"details": [],
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{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
"status": "met",
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{
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{
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"status": "partial",
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{
"key": "sast",
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{
"key": "security_policy",
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{
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"code": "no_data",
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{
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"status": "met",
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{
"key": "vulnerabilities",
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"detail": "147 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
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]
},
{
"key": "dependency_advisories",
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"notes": [
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"code": "advisories_scope_published",
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},
{
"code": "advisories_reachability",
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"inputs": {
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"direct_affected_packages": 1
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"components": [
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"status": "partial",
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{
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],
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{
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"status": "partial",
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}
],
"max_points": 40
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]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"red_flag": false,
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
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"components": [
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"status": "met",
"details": [
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"code": "no_malicious_dependencies",
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],
"max_points": 100
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"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"
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"review_only_matches": 0,
"assessed_self_published_locations": 9
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"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
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"points": 100,
"status": "met",
"details": [
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"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": 42,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
"band": "critical",
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"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
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"code": "excluded_no_data",
"params": {
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},
{
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],
"value": 1,
"inputs": {
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"agent_instruction_files": [],
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"components": [
{
"key": "agent_instructions",
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"status": "missed",
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],
"max_points": 45
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{
"key": "machine_readable_docs_llms_txt",
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"status": "missed",
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},
{
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],
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]
},
{
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"notes": [
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"params": {
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{
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],
"value": 61,
"inputs": {
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"components": [
{
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"name": "One-command bootstrap",
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"points": 0,
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},
{
"key": "automated_tests",
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"points": 22,
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},
{
"key": "lint_format_config",
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"points": 11,
"status": "met",
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},
{
"key": "static_type_checking",
"name": "Static type checking",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
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"status": "met",
"details": [
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"code": "file_list",
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],
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{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
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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."
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}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.16.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.