Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-14 22:34 UTC
neelnanda-io / TransformerLens
A library for mechanistic interpretability of GPT-style language models
neelnanda-io/TransformerLens erreicht einen Gesundheitsindex von 76 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (96/100) ab, am schwächsten bei Security (45/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
76
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.
76
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
TransformerLensOrgOrganisation
89 Follower3 öffentliche Reposseit Mai 2024
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 | transformer-lens | 3.5.1 | 87.936 | 70 | vor 12 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
96
Entwicklungsaktivität
94Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 30.5/36 | Commit-Rhythmus — 44/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 479 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 479 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 44 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 80 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 13 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 12,2 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 80 |
| latest_release_tag | v3.5.1 |
| releases_from_tags | nein |
| days_since_latest_release | 13 |
| mean_days_between_releases | 12,2 |
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?
76
Popularität & Verbreitung
89Exzellent
Wie die Bewertung erfolgt
| 57.8/60 | Stars — 3.674 Stars |
| 23.3/25 | Forks — 632 Forks |
| 7.7/15 | Watcher — 25 Watcher |
Verwendete Eingangsdaten
| forks | 632 |
| stars | 3.674 |
| watchers | 25 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
57Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 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 |
Wie die Bewertung erfolgt
| 65.9/80 | Downloads pro Monat — 87.936 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | transformer-lens |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 87.936 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
76
Wie die Bewertung erfolgt
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 17.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 22 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 100 |
| top_contributor_share | 0,219 |
Wie die Bewertung erfolgt
| 0/46.8 | Issue-Lösungsquote — keine Issues oder keine Daten |
| 0/38.3 | PR-Annahme — keine entschiedenen Pull Requests oder keine Daten |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 25/30 approved changesets -- score normalized to 8 |
Verwendete Eingangsdaten
| merged_prs | — |
| open_issues | — |
| closed_issues | — |
| issue_closed_ratio | — |
| closed_unmerged_prs | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, PR-Annahme. Die verbleibenden Gewichte wurden renormalisiert.
Eigentümerschaft & Trägerschaft
53Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 14.1/25 | Reichweite des Inhabers — 89 Follower von TransformerLensOrg |
| 8.7/25 | Kontohistorie — 3 öffentliche Repos, Kontoalter ca. 2 Jahre |
Verwendete Eingangsdaten
| followers | 89 |
| owner_type | Organization |
| is_verified | — |
| owner_login | TransformerLensOrg |
| public_repos | 3 |
| account_age_days | 796 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 12 Tagen |
| 20/20 | Versionshistorie — 70 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | transformer-lens |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 12 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
77
Engineering-Praktiken
68Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | 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 | nein |
| has_precommit_config | nein |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://transformerlensorg.github.io/TransformerLens/ |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://transformerlensorg.github.io/TransformerLens/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
45
Sicherheitslage
45Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 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 |
| 6/7.5 | Code-Review — Found 25/30 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 16 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no 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 28 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 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 — 120 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4,5 |
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.
70
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — .cursor/rules/transformerlens.mdc, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, tests/AGENTS.md, transformer_lens/benchmarks/AGENTS.md, transformer_lens/config/AGENTS.md, transformer_lens/model_bridge/sources/AGENTS.md, transformer_lens/model_bridge/supported_architectures/AGENTS.md, transformer_lens/tools/model_registry/AGENTS.md |
| 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 | .cursor/rules/transformerlens.mdc, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, tests/AGENTS.md, transformer_lens/benchmarks/AGENTS.md, transformer_lens/config/AGENTS.md, transformer_lens/model_bridge/sources/AGENTS.md, transformer_lens/model_bridge/supported_architectures/AGENTS.md, transformer_lens/tools/model_registry/AGENTS.md |
| agent_instruction_max_bytes | 22.753 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile, makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — transformer_lens/py.typed |
| 10/10 | Reproduzierbare Umgebung — devcontainer, Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | docs/Makefile, makefile |
| has_devcontainer | ja |
| has_linter_config | nein |
| typecheck_configs | transformer_lens/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (transformer_lens/py.typed) |
| 54.3/55 | Handhabbare Dateigrößen — 7/587 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 197.799 |
| source_files_sampled | 587 |
| oversized_source_files | 7 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — demos, notebooks |
Verwendete Eingangsdaten
| example_dirs | demos, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
3.674GitHub-Sterne
100Mitwirkende
479Commits, letzte 12 Monate
0Tage seit letztem Push
80Releases
3Bus-Faktor
-offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Some issue/PR counts unavailable (search API limit); rerun later
Weitere Details
OpenSSF Scorecard 4.5 / 10
4.5Gesamtwert
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 |
| 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 |
| 8 | Code-Review | Found 25/30 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 16 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 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 | 120 existing vulnerabilities detected |
Direkte Abhängigkeiten 22
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | accelerate | >=0.23.0 | pyproject.toml |
| PyPI | beartype | >=0.14.1 | pyproject.toml |
| PyPI | better-abc | >=0.0.3 | pyproject.toml |
| PyPI | datasets | >=2.7.1 | pyproject.toml |
| PyPI | einops | >=0.6.0 | pyproject.toml |
| PyPI | fancy-einsum | >=0.0.3 | pyproject.toml |
| PyPI | huggingface-hub | >=0.23.2 | pyproject.toml |
| PyPI | jaxtyping | >=0.2.11 | pyproject.toml |
| PyPI | numpy | >=1.24 | pyproject.toml |
| PyPI | numpy | >=1.26 | pyproject.toml |
| PyPI | packaging | >=23.0 | pyproject.toml |
| PyPI | pandas | >=1.1.5 | pyproject.toml |
| PyPI | protobuf | >=3.20.0 | pyproject.toml |
| PyPI | rich | >=12.6.0 | pyproject.toml |
| PyPI | sentencepiece | — | pyproject.toml |
| PyPI | torch | >=2.6 | pyproject.toml |
| PyPI | tqdm | >=4.64.1 | pyproject.toml |
| PyPI | transformers-stream-generator | >=0.0.5,<0.1 | pyproject.toml |
| PyPI | transformers | >=5.4.0 | pyproject.toml |
| PyPI | typeguard | >=4.2,<5 | pyproject.toml |
| PyPI | typing-extensions | — | pyproject.toml |
| PyPI | wandb | >=0.13.5 | pyproject.toml |
Alle Abhängigkeiten 328
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 21 direkte und 307 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | accelerate | 1.9.0 | direkt |
| PyPI | beartype | 0.14.1 | direkt |
| PyPI | better-abc | 0.0.3 | direkt |
| PyPI | datasets | 4.0.0 | direkt |
| PyPI | einops | 0.8.1 | direkt |
| PyPI | fancy-einsum | 0.0.3 | direkt |
| PyPI | huggingface-hub | 1.15.0 | direkt |
| PyPI | jaxtyping | 0.2.19 | direkt |
| PyPI | numpy | 1.26.4 | direkt |
| PyPI | packaging | 25.0 | direkt |
| PyPI | pandas | 2.3.1 | direkt |
| PyPI | protobuf | 6.31.1 | direkt |
| PyPI | rich | 14.1.0 | direkt |
| PyPI | sentencepiece | 0.2.1 | direkt |
| PyPI | torch | 2.10.0 | direkt |
| PyPI | tqdm | 4.67.1 | direkt |
| PyPI | transformers | 5.8.1 | direkt |
| PyPI | transformers-stream-generator | 0.0.5 | direkt |
| PyPI | typeguard | 4.4.4 | direkt |
| PyPI | typing-extensions | 4.14.1 | direkt |
| PyPI | wandb | 0.21.0 | direkt |
| PyPI | absl-py | 2.4.0 | indirekt |
| PyPI | aiofiles | 22.1.0 | indirekt |
| PyPI | aiohappyeyeballs | 2.6.1 | indirekt |
| PyPI | aiohttp | 3.12.14 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | aiosqlite | 0.21.0 | indirekt |
| PyPI | alabaster | 0.7.16 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | annoy | 1.17.3 | indirekt |
| PyPI | anyio | 4.9.0 | indirekt |
| PyPI | appnope | 0.1.4 | indirekt |
| PyPI | argon2-cffi | 25.1.0 | indirekt |
| PyPI | argon2-cffi-bindings | 21.2.0 | indirekt |
| PyPI | arrow | 1.3.0 | indirekt |
| PyPI | asttokens | 3.0.1 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 25.3.0 | indirekt |
| PyPI | audioop-lts | 0.2.2 | indirekt |
| PyPI | babel | 2.17.0 | indirekt |
| PyPI | beautifulsoup4 | 4.13.4 | indirekt |
| PyPI | bitsandbytes | 0.49.2 | indirekt |
| PyPI | black | 23.12.1 | indirekt |
| PyPI | bleach | 6.2.0 | indirekt |
| PyPI | brotli | 1.2.0 | indirekt |
| PyPI | certifi | 2025.7.14 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | chardet | 5.2.0 | indirekt |
| PyPI | charset-normalizer | 3.4.2 | indirekt |
| PyPI | circuitsvis | 1.43.3 | indirekt |
| PyPI | click | 8.2.1 | indirekt |
| PyPI | cloudpickle | 3.1.2 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | comm | 0.2.3 | indirekt |
| PyPI | contourpy | 1.3.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | coverage | 7.10.1 | indirekt |
| PyPI | cryptography | 46.0.7 | indirekt |
| PyPI | cuda-bindings | 12.9.4 | indirekt |
| PyPI | cuda-pathfinder | 1.5.5 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | dataproperty | 1.1.0 | indirekt |
| PyPI | debugpy | 1.8.15 | indirekt |
| PyPI | decorator | 5.2.1 | indirekt |
| PyPI | defusedxml | 0.7.1 | indirekt |
| PyPI | dill | 0.3.8 | indirekt |
| PyPI | docutils | 0.20.1 | indirekt |
| PyPI | entrypoints | 0.4 | indirekt |
| PyPI | etils | 1.14.0 | indirekt |
| PyPI | etils | 1.13.0 | indirekt |
| PyPI | evaluate | 0.4.6 | indirekt |
| PyPI | exceptiongroup | 1.3.0 | indirekt |
| PyPI | execnet | 2.1.1 | indirekt |
| PyPI | executing | 2.2.1 | indirekt |
| PyPI | fastapi | 0.136.0 | indirekt |
| PyPI | fastjsonschema | 2.21.1 | indirekt |
| PyPI | filelock | 3.18.0 | indirekt |
| PyPI | fonttools | 4.62.1 | indirekt |
| PyPI | fqdn | 1.5.1 | indirekt |
| PyPI | frozenlist | 1.7.0 | indirekt |
| PyPI | fsspec | 2025.3.0 | indirekt |
| PyPI | furo | 2023.9.10 | indirekt |
| PyPI | gitdb | 4.0.12 | indirekt |
| PyPI | gitpython | 3.1.45 | indirekt |
| PyPI | google-api-core | 2.30.3 | indirekt |
| PyPI | google-auth | 2.49.2 | indirekt |
| PyPI | google-cloud-core | 2.5.1 | indirekt |
| PyPI | google-cloud-translate | 3.26.0 | indirekt |
| PyPI | googleapis-common-protos | 1.74.0 | indirekt |
| PyPI | gradio | 6.12.0 | indirekt |
| PyPI | gradio-client | 2.4.1 | indirekt |
| PyPI | groovy | 0.1.2 | indirekt |
| PyPI | grpc-google-iam-v1 | 0.14.4 | indirekt |
| PyPI | grpcio | 1.80.0 | indirekt |
| PyPI | grpcio-status | 1.80.0 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hf-gradio | 0.3.2 | indirekt |
| PyPI | hf-xet | 1.5.0 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | idna | 3.10 | indirekt |
| PyPI | imageio | 2.37.3 | indirekt |
| PyPI | imagesize | 1.4.1 | indirekt |
| PyPI | importlib-metadata | 8.7.0 | indirekt |
| PyPI | importlib-resources | 7.1.0 | indirekt |
| PyPI | iniconfig | 2.1.0 | indirekt |
| PyPI | ipykernel | 6.29.5 | indirekt |
| PyPI | ipython | 9.10.0 | indirekt |
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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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},
{
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{
"key": "fuzzing",
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{
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{
"key": "maintained",
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{
"key": "packaging",
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{
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{
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{
"key": "signed_releases",
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{
"key": "vulnerabilities",
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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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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{
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},
{
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]
},
{
"key": "ai_code_legibility",
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"oversized_source_files": 7
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"components": [
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},
{
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"points": 54.3,
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{
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"components": [
{
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"status": "missed",
"details": [],
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},
{
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"points": 0,
"status": "missed",
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},
{
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"status": "met",
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}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Some issue/PR counts unavailable (search API limit); rerun later"
],
"report_type": "repository",
"generated_at": "2026-07-14T22:34:49.970798Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/neelnanda-io/TransformerLens.svg",
"full_name": "neelnanda-io/TransformerLens",
"license_state": "standard",
"license_spdx": "MIT"
}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 v0.11.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.