Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
The Fable Workflow: how Claude Fable 5 worked, distilled into skills any model can run, with the eval that keeps it honest. Think / act / prove.
A platform for reproducible world model research and evaluation
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
A PyTorch library and evaluation platform for end-to-end compression research
Multi-class confusion matrix library in Python
Evaluate and improve models and agents using environments
Open memory & reliability layer for AI agents + independent judging/verification (NACRE judge, caliber-bench meta-benchmark, preregistered criteria) — by Nautilus Platform
[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
A holistic framework to enable the design, development, and evaluation of autonomous AIOps agents.
RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.
FAME Automates Malware Evaluation
Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
Provider-agnostic, open-source evaluation infrastructure for language models
open source agent engineering platform: traces, evals, and metrics to debug and improve your AI agents. Integrates with LangGraph, CrewAI, Claude Agent SDK, and more.
Claw-Eval is an evaluation harness for evaluating LLM as agents. All tasks verified by humans.
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Training-free Spectrum acceleration for ComfyUI’s native MiniMax H3 audio-video model. Uses Chebyshev ridge feature forecasting to skip selected H3 transformer evaluations, with adaptive scheduling, sampler-aware support for Euler, ER-SDE, RES, SEEDS and SA-Solver, CPU/VRAM history storage, and fail-closed native fallbacks.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
[ICML 2024] TrustLLM: LLM trustworthiness evaluation across truthfulness, safety, fairness, robustness, privacy and ethics. Python/CLI toolkit for local models, compatible APIs and AI agent orchestration.
Span-level grounding verification for RAG, code, and tool-grounded AI outputs.
[NeurIPS D&B '25] The one-stop repository for LLM unlearning
Simple Safe Sandboxed Extensible Expression Evaluator for Python
ParseBench - A Document Parsing Benchmark for AI Agents
Task-based datasets, preprocessing, and evaluation for sequence models.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
Combine the power of nix-eval-jobs with nix-output-monitor to speed-up your evaluation and building process.
中文优先的企业 RAG 知识库:可控解析、治理、切块、混合检索、重排、引用、图谱、评测与 Dify 接入。
🔥🔥 Awesome Jev: open-source models, projects, benchmarks, and independent evaluations for Jev and System One models.
An open-source Python library for poker game simulations, hand evaluations, and statistical analysis
Stockfish NNUE (Chess evaluation) trainer in Pytorch
An automated benchmark platform for AI-generated apps — built-in evaluation rules, standard sample sets, and layered test cases across a multi-dimensional metric system. One pipeline runs build, install, E2E tests, and scoring into a shareable report.
Evidence-first infrastructure for reproducible, isolated executable evaluation and online rewards.
HarnessEval-W: Agentifying the Evaluation of Visual Worlds
Track 33,707+ AI benchmark, eval, dataset, and data-quality records from 40 public sources, with linked evidence and daily updates.
Compile real-world Claude Code and Codex trajectories into verified, tradable post-training assets.
Personal LLM engineering-maintenance evaluation harness (V4.1b, frozen). Not a public benchmark.
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
WAI Play - AI web game testing and quality evaluation platform
Inspect Codex / Claude logs, verify metering samples and re-count supported billing exports. Free local tools; bounded $10 diagnosis and $20 QA.
Evaluator-neutral AI evaluation evidence, baseline regression gates, and JSON, JUnit, and SARIF reports for CI.
开源劳动者AI研究与评测项目:建设劳动知识、公开评测基准与共同治理机制|Open worker-centered AI research and evaluation project.
[EMNLP 2026] A multilingual benchmark for repository-level unit test generation, evaluating LLMs across 5 programming languages and real-world code under reproducible, Docker-based execution.
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
Benchmarking models as runtime Controllers for Loop Engineering
Community registry of LLM serving-path traps that produce confidently wrong measurements: templates, tool parsers, reasoning fields, quant kernel paths, CUDA toolchains, KV allocation, eval harnesses, versioning. Symptom-first, with the check that catches each.
Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.
Research project on bilingual Urdu-English retrieval-augmented generation for Pakistani government and legal documents, with OCR, hybrid retrieval, citation grounding, and evaluation.
Local-first YOLO workbench for annotation, training, evaluation, and AI assistance.
Enterprise AI customer-service Agent platform featuring hybrid intent recognition, multi-agent orchestration, MCP-powered RAG, dynamic Skills, memory, human handoff, observability and evaluation. 小祥智能客服系统,支持可追溯、可观测与云端部署。
Evaluate visual models on your own images, JSON Schema, and production constraints with LangGraph, Pareto analysis, and a no-key Replay demo.