Bundesdruckerei-GmbH/moeve-lmbench
Evaluation component of MÖVE, a German public-sector LLM benchmark. Python framework for benchmarking LLMs across tasks (summarization, QA, classification, topic extraction) and providers (OpenAI-compatible APIs, Azure, Ollama), with metrics for task performance, energy use, and German-constitutional-values alignment.
19
Stars
1
Forks
29.7
Radar Score
Stable
Momentum
Scoring Breakdown
Impact5.3
Velocity37.2
Health58.3
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
Evaluation & Benchmarks · benchmarkTop 83% globally
Popular Alternatives & Competitors
Top projects in the same category (Evaluation & Benchmarks) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
29.7
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
Share & Embed
Display live Radar metrics in your documentation, website, or social profiles.