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SKernelBench
KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)
Mevalscope
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Popularity
Repository stars1,3113,640Highest
7-day net stars——
Fork197552Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-03-242026-11-03
Maintenance notesNot verifiedNot verified
Repository created2024-10-252023-12-07
License & use
LicenseLicense not declaredApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeModel and data evaluationModel and data evaluation · Retrieval-augmented generation
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryGeneralGeneral
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookPython
About this projectKernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Measured at2026-11-02 19:01 UTC2026-11-03 09:40 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.