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ai-system-design-guide

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

evalscope

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

Popularity
Repository stars4,159Highest3,640
7-day net stars——
Fork845Highest552
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022026-11-03
Maintenance notesNot verifiedNot verified
Repository created2025-12-162023-12-07
License & use
LicenseMIT · PermissiveApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeModel and data evaluation · Retrieval-augmented generationModel and data evaluation · Retrieval-augmented generation
TypeGuides & collectionsFrameworks & SDKs
SubcategoryGetting startedGeneral
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
Language—Python
About this projectAI system design guide for engineers building production AI systems and evals.A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
Measured at2026-11-03 09:39 UTC2026-11-03 09:40 UTC

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