A framework for few-shot evaluation of language models.
EleutherAI/lm-evaluation-harness erreicht einen Gesundheitsindex von 83 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (92/100) ab, am schwächsten bei AI Readiness (31/100). Zuletzt vor 7 Tagen aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
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.
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.
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | lm_eval | 0.4.12 | 1.523.659 | 18 | vor 70 Tagen |
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
| 36/36 | Push-Aktualität — letzter Push vor 7 Tagen |
| 26.3/36 | Commit-Rhythmus — 38/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 232 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| commits_last_year | 232 |
| human_commit_share | — |
| days_since_last_push | 7 |
| active_weeks_last_year | 38 |
| 27/27 | Liefert Releases aus — 18 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 70 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 64,4 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
| releases_count | 18 |
| latest_release_tag | v0.4.12 |
| releases_from_tags | nein |
| days_since_latest_release | 70 |
| mean_days_between_releases | 64,4 |
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
| 60/60 | Stars — 13.346 Stars |
| 25/25 | Forks — 3.422 Forks |
| 9.4/15 | Watcher — 51 Watcher |
| forks | 3.422 |
| stars | 13.346 |
| watchers | 51 |
| growth_state | organic |
| growth_factor_pct | 100 |
| 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 |
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
| 80/80 | Downloads pro Monat — 1.523.659 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
| packages | lm_eval |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 1.523.659 |
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 16.7/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 26 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 28 contributing companies or organizations |
| bus_factor | 3 |
| contributors_sampled | 100 |
| top_contributor_share | 0,258 |
| 30.6/46.8 | Issue-Lösungsquote — 65 % der Issues geschlossen |
| 29.2/38.3 | PR-Annahme — 1.453/1.902 entschiedene PRs gemergt |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 25/30 approved changesets -- score normalized to 8 |
| merged_prs | 1.453 |
| open_issues | 575 |
| closed_issues | 1.089 |
| issue_closed_ratio | 0,654 |
| closed_unmerged_prs | 449 |
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 4.384 Follower von EleutherAI |
| 25/25 | Kontohistorie — 182 öffentliche Repos, Kontoalter ca. 5 Jahre |
| followers | 4.384 |
| owner_type | Organization |
| is_verified | — |
| owner_login | EleutherAI |
| public_repos | 182 |
| account_age_days | 2.183 |
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 70 Tagen |
| 20/20 | Versionshistorie — 18 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
| packages | lm_eval |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 70 |
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 12/20 | OpenSSF Scorecard: CI-Tests — 19 out of 30 merged PRs checked by a CI test -- score normalized to 6 |
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.eleuther.ai |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 3 Topics |
| 10/10 | Wiki |
| topics | evaluation-framework, language-model, transformer |
| has_wiki | ja |
| homepage | https://www.eleuther.ai |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
| 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 — 19 out of 30 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 |
| 6/7.5 | Code-Review — Found 25/30 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 28 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 0 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 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 |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,6 |
| 10.4/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: sqlitedict 2.1.0 (high 8.8) |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 32.8/40 | Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 670 Tagen veröffentlicht |
| source | osv |
| advisories | 2 |
| affected_packages | 1 |
| assessed_packages | 63 |
| unassessed_packages | 0 |
| affected_by_severity | high 1 |
| direct_affected_packages | 1 |
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.
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 54.6/55 | Handhabbare Dateigrößen — 6/794 Quelldateien über 60 KB |
| primary_language | Python |
| largest_source_bytes | 88.644 |
| source_files_sampled | 794 |
| oversized_source_files | 6 |
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
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 | 19 out of 30 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 |
| 8 | Code-Review | Found 25/30 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 28 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 0 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow 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 |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | datasets | >=2.16.0 | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | evaluate | >=0.4.0 | pyproject.toml |
| PyPI | jinja2 | — | pyproject.toml |
| PyPI | pytablewriter | — | pyproject.toml |
| PyPI | rouge-score | >=0.0.4 | pyproject.toml |
| PyPI | sacrebleu | >=1.5.0 | pyproject.toml |
| PyPI | scikit-learn | >=0.24.1 | pyproject.toml |
| PyPI | sqlitedict | — | pyproject.toml |
| PyPI | dill | — | pyproject.toml |
| PyPI | word2number | — | pyproject.toml |
| PyPI | more_itertools | — | pyproject.toml |
| PyPI | typing_extensions | — | pyproject.toml |
| PyPI | tqdm | >=4.59.0 | pyproject.toml |
Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Die Installation von pypi:lm_eval@0.4.12 zieht 63 Pakete nach sich, direkt und transitiv: 1 tragen bekannte Advisories, davon 1 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| sqlitedict | 2.1.0 | direkt | hoch | 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.
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{
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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 v0.17.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.