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ai-evals 开源项目推荐(127 个)
ai-evals 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 127 个仓库用于评估、观察和改进LLM和AI代理应用程序的开源端到端平台。追踪· Evals ·模拟·数据集·门户·护栏。可自托管。阿帕奇2.0。
SkillSpec makes agent skills followable, testable, and provable with Doctor risk reports, guided imports, structured contracts, and alignment proof.
Reproducible voice-AI benchmarking — TTS / STT / S2S latency and accuracy.
Open-source AI evals toolkit: skills that guide AI coding agents to write eval rubrics, eval datasets (User Input Grid), trace codes, code evaluators and LLM-as-a-judge prompts. From the Reforge AI Evals course by Calibre.
Benchmarking Open-Ended Inference Optimization by AI Agents
Operational doctrine for practical AI systems design.
Collection of frameworks and tools for AI evalations, including tool-use, agentic AI, MCP, and multimodal
pytest for AI Apps — Fast, free, offline testing and self-improving prompts for Python developers.
Core engine behind Calibrate, a framework for evaluating AI agents: speech-to-text, text-to-speech, LLM evaluation, end-to-end simulations
Evaluation Infrastructure for AI Agents
Harness engineering for Claude Code, run daily: hooks, skills, typed memory, roles, a delegation queue and self-audits that let you hand a coding agent work and trust it while you're away. 18 load-bearing patterns, an interactive tour, a learn track, teardowns of real systems, a CI linter and fork-ready samples.
Learn to evaluate AI products for production — 21 hands-on lessons on evals, metrics, fairness, agents, red teaming, and release decisions for working PMs.
Agent skill for AI agent development
Gstack for PMs. Eval Studio that you can plug-n-play anywhere.
An sdk and framework for evaluating and comparing multiple model outputs using configurable LLM-based jurors
FDE Consultants Protocoles — open-source Forward Deployed Engineer + DeepSCR protocol: turn any coding agent (Claude Code, Codex, Cursor) into a certifying engineer with verifiable AI Assurance Scores, MCP tools, and a public trust registry. Apache-2.0.
Eval-first AI agent that triages property maintenance emails. The real work is the eval system around it: trace-driven error analysis, code graders and validated LLM-as-judge (TPR/TNR), component and end-to-end evals, a failure taxonomy, and a CI regression gate. LangGraph, FastAPI, Langfuse.
Governed multi-LLM Responsible AI control plane for prior-authorization decision support, with PHI-safe audit trails, HITL review, evidence packets, and deterministic governance evals.
Benchmark LLM jailbreak resilience across providers with standardized tests, adversarial mode, rich analytics, and a clean Web UI.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/ai-evals。
- 该话题在 GitHub 上共有 127 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 8168 Star,覆盖 6 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。