Create, Evaluate, and Connect AI Skills
A single interface to use and evaluate different agent frameworks
Readymade evaluators for your LLM apps
OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
AISBench Benchmark is a model evaluation tool built on OpenCompass, compatible with OpenCompass’s configuration system, dataset structure, and model backend implementation, while extending support for service-based models.
[EMNLP 2026] MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research · 浏览器里运行的安卓模拟器 · Browser-hosted Android Simulator · Verifiable Evaluation · Scalable Online RL Training
Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub
The platform for continuously improving AI agents.
One framework to evaluate any VLA model on any robot simulation benchmark.
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
Isaac Lab - Arena is a robotics simulation framework that enhances NVIDIA Isaac Lab by providing a composable, scalable system for creating diverse simulation environments and evaluating robot learning policies. The framework enables developers to rapidly prototype and test robotic tasks with various robot embodiments, objects, and environments.
Multi-tier framework for evaluating AI agent skills with quality gates, semantic overlap detection, synthetic evaluation dataset generation, and live agent evaluation that measures how skills affect agent behavior.
EdgeRock: Strong Reasoning at Constant Memory. Multimodal models with O(N) generation and O(1) persistent history. Inference and evaluation code.
✈️ 自托管多渠道机票价格监控:五平台明细采集 → 钉钉图文推送 → 达标四层强提醒。数据留在本机,配置全在网页。Self-hosted flight price monitoring with a dispatch-board console.
OpenClaw + 大模型驱动的完整电商客服自动化系统:覆盖淘宝、拼多多、抖音、快手、小红书、视频号,包含浏览器/手机 Worker、订单物流与售后工具、记忆、回执、恢复和 Eval。
RISE: Red-teaming via Iterative Strategy Evolution (NeurIPS 2026)
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and multimodal backbones.
RSI Bench is an ongoing effort to evaluate whether AI agents can develop the capabilities required to advance AI R&D.
CARE: corrective data generation and FSR-Bench evaluation for robotic manipulation
PROWBench: evaluating whether video models faithfully render what a program specifies.
Configuration-driven evaluation, regression testing, replay, and load testing for SSE-streaming LLM agents
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
Most popular metrics used to evaluate object detection algorithms.
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Python package for the evaluation of odometry and SLAM
Evaluation and Tracking for LLM Experiments and AI Agents
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Inspect: A framework for large language model evaluations
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
🤗 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
🤖 A Python library for learning and evaluating knowledge graph embeddings
Agentic LLM Vulnerability Scanner / AI red teaming kit 🧪
This project aims to compare and evaluate the telemetry of various EDR products.
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
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
Multi-class confusion matrix library in Python
Postgres, MySQL, or MariaDB to Elasticsearch/OpenSearch sync
Wiktionary dump file parser and multilingual data extractor
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
An open-source Mathematica Kernel. This repository contains the Python modules for WL Built-in functions, variables, core primitives, e.g. Symbol, a parser to create Expressions, and an evaluator to execute them.
[JMLR 2026] UQLM: A Python package for LLM hallucination detection using uncertainty quantification
Lua in Python
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
The Continuous-Improvement Stack for Agents. Our environment data and evals power agent improvement and monitoring.
AutoEvals is a tool for quickly and easily evaluating AI model outputs using best practices.
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
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