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evalscope

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

ai-system-design-guide

AI system design guide for engineers building production AI systems and evals.

Popularity
Repository stars3,6404,159Highest
7-day net stars——
Fork552845Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-032026-11-02
Maintenance notesNot verifiedNot verified
Repository created2023-12-072025-12-16
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeModel and data evaluation · Retrieval-augmented generationModel and data evaluation · Retrieval-augmented generation
TypeFrameworks & SDKsGuides & collections
SubcategoryGeneralGetting started
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
LanguagePython—
About this projectA streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.AI system design guide for engineers building production AI systems and evals.
Measured at2026-11-03 09:40 UTC2026-11-03 09:39 UTC

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