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Software-GesundheitsberichtSchema 0.12.0 · Metriken 1.13.0 · 2026-07-18 13:38 UTC
instructor-ai / instructor
structured outputs for llms
instructor-ai/instructor erreicht einen Gesundheitsindex von 77 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (93/100) ab, am schwächsten bei Security (51/100). Zuletzt vor 5 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
77
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
77
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
567-labsOrganisation
130 Follower4 öffentliche Reposseit Dez. 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 | instructor | 1.15.4 | - | 96 | vor 20 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
93
Entwicklungsaktivität
89Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 5 Tagen |
| 24.9/36 | Commit-Rhythmus — 36/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 237 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 237 |
| human_commit_share | — |
| days_since_last_push | 5 |
| active_weeks_last_year | 36 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 100 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 20 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 19 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 100 |
| latest_release_tag | v1.15.4 |
| releases_from_tags | nein |
| days_since_latest_release | 20 |
| mean_days_between_releases | 19 |
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?
83
Popularität & Verbreitung
94Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 13.554 Stars |
| 25/25 | Forks — 1.157 Forks |
| 9.5/15 | Watcher — 53 Watcher |
Verwendete Eingangsdaten
| forks | 1.157 |
| stars | 13.554 |
| watchers | 53 |
| 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?
64
Maintainer-Resilienz (Bus-Faktor)
40Gefährdet
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 7.4/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 67 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 100 |
| top_contributor_share | 0,67 |
Wie die Bewertung erfolgt
| 45.3/46.8 | Issue-Lösungsquote — 97 % der Issues geschlossen |
| 20.7/38.3 | PR-Annahme — 841/1.554 entschiedene PRs gemergt |
| 4.5/15 | OpenSSF Scorecard: Code-Review — Found 10/28 approved changesets -- score normalized to 3 |
Verwendete Eingangsdaten
| merged_prs | 841 |
| open_issues | 21 |
| closed_issues | 651 |
| issue_closed_ratio | 0,969 |
| closed_unmerged_prs | 713 |
Eigentümerschaft & Trägerschaft
56Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 15.2/25 | Reichweite des Inhabers — 130 Follower von 567-labs |
| 10.3/25 | Kontohistorie — 4 öffentliche Repos, Kontoalter ca. 2 Jahre |
Verwendete Eingangsdaten
| followers | 130 |
| owner_type | Organization |
| is_verified | — |
| owner_login | 567-labs |
| public_repos | 4 |
| account_age_days | 959 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 20 Tagen |
| 20/20 | Versionshistorie — 96 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | instructor |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 20 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
92
Engineering-Praktiken
86Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 10 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .ruff.toml |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 12/20 | OpenSSF Scorecard: CI-Tests — 17 out of 25 merged PRs checked by a CI test -- score normalized to 6 |
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 — https://python.useinstructor.com/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | openai, python, pydantic-v2, openai-functions, validation, openai-function-calli |
| has_wiki | ja |
| homepage | https://python.useinstructor.com/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
51
Sicherheitslage
51Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 1.5/2.5 | CI-Tests — 17 out of 25 merged PRs checked by a CI test -- score normalized to 6 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 2.2/7.5 | Code-Review — Found 10/28 approved changesets -- score normalized to 3 |
| 2.5/2.5 | Contributors — project has 5 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 14 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 2.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 124 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 5,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
77
AI-Agentenkontext & Leitlinien
100Exzellent
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — .cursor/rules/documentation-sync.mdc, .cursor/rules/followups.mdc, .cursor/rules/new-features-planning.mdc, .cursor/rules/readme.md, .cursor/rules/simple-language.mdc, AGENT.md, CLAUDE.md, docs/AGENT.md |
| 15/15 | Maschinenlesbare Doku (llms.txt) — llms.txt vorhanden |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | ja |
| legible_history_share | — |
| agent_instruction_files | .cursor/rules/documentation-sync.mdc, .cursor/rules/followups.mdc, .cursor/rules/new-features-planning.mdc, .cursor/rules/readme.md, .cursor/rules/simple-language.mdc, AGENT.md, CLAUDE.md, docs/AGENT.md |
| agent_instruction_max_bytes | 13.329 |
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 — .ruff.toml |
| 11/11 | Statische Typprüfung — instructor/py.typed |
| 10/10 | Reproduzierbare Umgebung — Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 5/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | instructor/py.typed |
| 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.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (instructor/py.typed) |
| 55/55 | Handhabbare Dateigrößen — 0/542 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 48.861 |
| source_files_sampled | 542 |
| oversized_source_files | 0 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
13.554GitHub-Sterne
100Mitwirkende
237Commits, letzte 12 Monate
5Tage seit letztem Push
100Releases
1Bus-Faktor
21offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 5.1 / 10
5.1Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| k. A. | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 6 | CI-Tests | 17 out of 25 merged PRs checked by a CI test -- score normalized to 6 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 3 | Code-Review | Found 10/28 approved changesets -- score normalized to 3 |
| 10 | Contributors | project has 5 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 14 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 5 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 5 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 124 existing vulnerabilities detected |
Direkte Abhängigkeiten 12
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | openai | >=2.0.0,<3.0.0 | pyproject.toml |
| PyPI | pydantic | <3.0.0,>=2.8.0 | pyproject.toml |
| PyPI | eval-type-backport | >=0.2.2 | pyproject.toml |
| PyPI | docstring-parser | <1.0,>=0.16 | pyproject.toml |
| PyPI | typer | <1.0.0,>=0.9.0 | pyproject.toml |
| PyPI | rich | <15.0.0,>=13.7.0 | pyproject.toml |
| PyPI | aiohttp | <4.0.0,>=3.9.1 | pyproject.toml |
| PyPI | tenacity | <10.0.0,>=8.2.3 | pyproject.toml |
| PyPI | pydantic-core | <3.0.0,>=2.18.0 | pyproject.toml |
| PyPI | jiter | >=0.6.1,<0.15 | pyproject.toml |
| PyPI | jinja2 | <4.0.0,>=3.1.4 | pyproject.toml |
| PyPI | requests | <3.0.0,>=2.32.3 | pyproject.toml |
Alle Abhängigkeiten 301
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 27 direkte und 274 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | aiohttp | — | direkt |
| PyPI | aiohttp | 3.12.15 | direkt |
| PyPI | aiohttp | 3.13.5 | direkt |
| PyPI | docstring-parser | — | direkt |
| PyPI | docstring-parser | 0.17.0 | direkt |
| PyPI | eval-type-backport | 0.2.2 | direkt |
| PyPI | jinja2 | 3.1.6 | direkt |
| PyPI | jiter | 0.10.0 | direkt |
| PyPI | jiter | 0.14.0 | direkt |
| PyPI | openai | — | direkt |
| PyPI | openai | 1.24.1 | direkt |
| PyPI | openai | 2.31.0 | direkt |
| PyPI | openai | 2.6.0 | direkt |
| PyPI | pydantic | — | direkt |
| PyPI | pydantic | 2.11.7 | direkt |
| PyPI | pydantic | 2.12.5 | direkt |
| PyPI | pydantic | 2.7.1 | direkt |
| PyPI | pydantic-core | 2.33.2 | direkt |
| PyPI | pydantic-core | 2.41.5 | direkt |
| PyPI | requests | 2.32.5 | direkt |
| PyPI | rich | — | direkt |
| PyPI | rich | 14.1.0 | direkt |
| PyPI | rich | 14.3.3 | direkt |
| PyPI | tenacity | 9.1.2 | direkt |
| PyPI | typer | — | direkt |
| PyPI | typer | 0.16.1 | direkt |
| PyPI | typer | 0.23.2 | direkt |
| PyPI | aiohappyeyeballs | 2.6.1 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anthropic | 0.93.0 | indirekt |
| PyPI | anyio | 4.10.0 | indirekt |
| PyPI | anyio | 4.12.1 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | asttokens | 3.0.0 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 25.3.0 | indirekt |
| PyPI | attrs | 26.1.0 | indirekt |
| PyPI | babel | 2.17.0 | indirekt |
| PyPI | backrefs | 5.9 | indirekt |
| PyPI | beautifulsoup4 | 4.13.5 | indirekt |
| PyPI | black | 25.1.0 | indirekt |
| PyPI | bleach | 6.2.0 | indirekt |
| PyPI | boto3 | 1.40.19 | indirekt |
| PyPI | botocore | 1.40.19 | indirekt |
| PyPI | cachecontrol | 0.14.3 | indirekt |
| PyPI | cachetools | 5.5.2 | indirekt |
| PyPI | cairocffi | 1.7.1 | indirekt |
| PyPI | cairosvg | — | indirekt |
| PyPI | cairosvg | 2.8.2 | indirekt |
| PyPI | cerebras-cloud-sdk | 1.46.0 | indirekt |
| PyPI | certifi | 2025.8.3 | indirekt |
| PyPI | certifi | 2026.2.25 | indirekt |
| PyPI | cffi | 1.17.1 | indirekt |
| PyPI | cfgv | 3.4.0 | indirekt |
| PyPI | charset-normalizer | 3.4.3 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | click | 8.1.8 | indirekt |
| PyPI | click | 8.2.1 | indirekt |
| PyPI | click | 8.3.1 | indirekt |
| PyPI | cohere | — | indirekt |
| PyPI | cohere | 5.17.0 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | courlan | 1.3.2 | indirekt |
| PyPI | coverage | 7.10.5 | indirekt |
| PyPI | csscompressor | 0.9.5 | indirekt |
| PyPI | cssselect2 | 0.8.0 | indirekt |
| PyPI | datasets | — | indirekt |
| PyPI | datasets | 3.6.0 | indirekt |
| PyPI | dateparser | 1.2.2 | indirekt |
| PyPI | debugpy | 1.8.16 | indirekt |
| PyPI | decorator | 5.2.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | dill | 0.3.8 | indirekt |
| PyPI | diskcache | 5.6.3 | indirekt |
| PyPI | distlib | 0.4.0 | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | exceptiongroup | 1.3.0 | indirekt |
| PyPI | execnet | 2.1.1 | indirekt |
| PyPI | executing | 2.2.0 | indirekt |
| PyPI | fastapi | — | indirekt |
| PyPI | fastapi | 0.110.3 | indirekt |
| PyPI | fastapi | 0.115.14 | indirekt |
| PyPI | fastavro | 1.12.0 | indirekt |
| PyPI | fastjsonschema | 2.21.2 | indirekt |
| PyPI | filelock | 3.19.1 | indirekt |
| PyPI | fireworks-ai | 0.15.15 | indirekt |
| PyPI | frozenlist | 1.7.0 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | fsspec | 2025.3.0 | indirekt |
| PyPI | ghp-import | 2.1.0 | indirekt |
| PyPI | gitdb | 4.0.12 | indirekt |
| PyPI | gitpython | 3.1.45 | indirekt |
| PyPI | google-api-core | 2.25.1 | indirekt |
| PyPI | google-auth | 2.40.3 | indirekt |
| PyPI | google-cloud-aiplatform | 1.111.0 | indirekt |
| PyPI | google-cloud-bigquery | 3.36.0 | indirekt |
| PyPI | google-cloud-core | 2.4.3 | indirekt |
| PyPI | google-cloud-resource-manager | 1.14.2 | indirekt |
| PyPI | google-cloud-storage | 2.19.0 | indirekt |
| PyPI | google-crc32c | 1.7.1 | indirekt |
| PyPI | google-genai | 1.31.0 | indirekt |
| PyPI | google-resumable-media | 2.7.2 | indirekt |
| PyPI | googleapis-common-protos | 1.70.0 | indirekt |
| PyPI | graphviz | 0.21 | indirekt |
| PyPI | greenlet | 3.2.4 | indirekt |
| PyPI | griffe | 1.13.0 | indirekt |
| PyPI | groq | 0.26.0 | indirekt |
| PyPI | grpc-google-iam-v1 | 0.14.2 | indirekt |
| PyPI | grpcio | 1.74.0 | indirekt |
| PyPI | grpcio-status | 1.74.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hf-xet | 1.1.8 | indirekt |
| PyPI | htmldate | 1.9.3 | indirekt |
| PyPI | htmlmin2 | 0.1.13 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | httpx-sse | 0.4.0 | indirekt |
| PyPI | httpx-ws | 0.7.2 | indirekt |
| PyPI | huggingface-hub | 0.34.4 | indirekt |
| PyPI | identify | 2.6.13 | indirekt |
| PyPI | idna | 3.10 | indirekt |
| PyPI | idna | 3.11 | indirekt |
| PyPI | importlib-metadata | 8.7.0 | indirekt |
| PyPI | iniconfig | 2.1.0 | indirekt |
| PyPI | instructor | — | indirekt |
| PyPI | instructor | 1.0.3 | indirekt |
| PyPI | instructor | 1.15.5 | indirekt |
| PyPI | invoke | 2.2.0 | indirekt |
| PyPI | ipykernel | 6.30.1 | indirekt |
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"code": "stars",
"params": {
"count": 13554
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "1,157 forks",
"points": 25,
"status": "met",
"details": [
{
"code": "forks",
"params": {
"count": 1157
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "53 watchers",
"points": 9.5,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 53
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 64,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "at_risk",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"bus_factor": 1,
"contributors_sampled": 100,
"top_contributor_share": 0.67
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "1 contributor(s) cover half of all commits",
"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 1
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 67% of commits",
"points": 7.4,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 67
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "100 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 100
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 5 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"merged_prs": 841,
"open_issues": 21,
"closed_issues": 651,
"issue_closed_ratio": 0.969,
"closed_unmerged_prs": 713
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "97% of issues closed",
"points": 45.3,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 97
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "841/1554 decided PRs merged",
"points": 20.7,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 841,
"decided": 1554
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 10/28 approved changesets -- score normalized to 3",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "moderate",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 56,
"inputs": {
"followers": 130,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "567-labs",
"public_repos": 4,
"account_age_days": 959
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "130 followers of 567-labs",
"points": 15.2,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 130,
"login": "567-labs"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "4 public repos, account ~2 yr old",
"points": 10.3,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 4
}
},
{
"code": "account_age_years",
"params": {
"years": 2
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"instructor"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 20
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 20 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 20
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "96 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 96
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 92,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 86,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "10 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 10
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": ".ruff.toml",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".ruff.toml"
}
}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "17 out of 25 merged PRs checked by a CI test -- score normalized to 6",
"points": 12,
"status": "partial",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
"openai",
"python",
"pydantic-v2",
"openai-functions",
"validation",
"openai-function-calli"
],
"has_wiki": true,
"homepage": "https://python.useinstructor.com/",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://python.useinstructor.com/",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "6 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 6
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 51,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"branch_protection",
"packaging",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 51,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 15,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 3,
"scorecard_aggregate": 5.1
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "17 out of 25 merged PRs checked by a CI test -- score normalized to 6",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 10/28 approved changesets -- score normalized to 3",
"points": 2.2,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 5 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "14 commit(s) and 5 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 not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 5",
"points": 2.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "124 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 5
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "good",
"name": "AI Readiness",
"value": 77,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "excellent",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 100,
"inputs": {
"has_llms_txt": true,
"legible_history_share": null,
"agent_instruction_files": [
".cursor/rules/documentation-sync.mdc",
".cursor/rules/followups.mdc",
".cursor/rules/new-features-planning.mdc",
".cursor/rules/readme.md",
".cursor/rules/simple-language.mdc",
"AGENT.md",
"CLAUDE.md",
"docs/AGENT.md"
],
"agent_instruction_max_bytes": 13329
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": ".cursor/rules/documentation-sync.mdc, .cursor/rules/followups.mdc, .cursor/rules/new-features-planning.mdc, .cursor/rules/readme.md, .cursor/rules/simple-language.mdc, AGENT.md, CLAUDE.md, docs/AGENT.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".cursor/rules/documentation-sync.mdc, .cursor/rules/followups.mdc, .cursor/rules/new-features-planning.mdc, .cursor/rules/readme.md, .cursor/rules/simple-language.mdc, AGENT.md, CLAUDE.md, docs/AGENT.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": "llms.txt present",
"points": 15,
"status": "met",
"details": [
{
"code": "llms_txt_present",
"params": {}
}
],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 71,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"instructor/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".ruff.toml",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".ruff.toml"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "instructor/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "instructor/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"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": [
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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 v0.12.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.