Write scalable load tests in plain Python ππ¨
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
Macrobenchmarking framework for Elasticsearch
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
Open Source AI Accelerator Research Platform Standard / εΌζΊζ¨ηη η©ΆεΉ³ε°
Unsupervised time series anomaly detection library
NoSQL Redis and Memcache traffic generation and benchmarking tool.
Airspeed Velocity: A simple Python benchmarking tool with web-based reporting
Toolkit to run Python benchmarks
ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution.
AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.
UrbanNav:An Open-sourced Multisensory Dataset for Benchmarking Positioning Algorithms Designed for Urban Areas
MCP-Universe is a comprehensive framework designed for RL training, benchmarking, and developing AI agents for general tool-use.
A simulation benchmarking platform for evaluating generalist robot policies
An open source benchmarking framework for IT automation
Track 33,707+ AI benchmark, eval, dataset, and data-quality records from 40 public sources, with linked evidence and daily updates.
[Public preview] Externally scored agentic ML research benchmark: 60 tasks, real competition ground truth. Open protocol, operated evaluation.
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.
Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes
How many bugs can LMs find & fix in large codebases?
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.
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
Official Code for the paper "Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents "
Open-source research tool for inspecting, benchmarking, and scrubbing AI document metadata and invisible tracking artifacts.
Official Training and Benchmarking Implementation of PDMD: Projected Distribution Matching Distillation for Video Diffusion Models
Open and Reproducible Benchmarking for Relational Learning
Official repo for The Imitator Game: Benchmarking Robot Imitative Ability Beyond Action Prediction
Local C++ performance testing and source-to-source optimization with deterministic rules, semantic checks, and paired benchmarking.
BiGym 2.0: Benchmarking Learned and Agent-Developed Policies for Humanoid Household Manipulation (arXiv:2610.07594)
NavSafe-β: Benchmarking Closed-Loop Driving Safety in Photorealistic Environments
[NeurIPS 2026] Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
Pre-inference tool and agent routing for MCP, A2A and tool-rich LLM systems. Reduce candidate tools before model inference with policy-aware routing and recovery.
Beyond Coherence: Benchmarking Professional Editing-Technique Execution in Multi-Shot Audio-Video Generation
Agent Skills for running, benchmarking, and profiling Hugging Face models on Intel GPUs β PyTorch, vLLM-XPU, and SGLang-XPU
[NeurIPS 2026 Oral] DORA: Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations
Cross-platform .NET performance engineering skill for coding agents, covering CPU, memory, GC, benchmarking, concurrency, startup, native profiling, GPU rendering, and production diagnostics on macOS, Windows, and Linux.
PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
Compute-for-memory research lab for running larger LLMs on memory-constrained consumer GPUs. Official website exvram.pro
Unified reproductions, benchmarking & evaluation for perception-aware RLVR and OPD in VLMs. 19 methods Β· 30+ benchmarks Β· Official code of CGPO (ACM MM 2026 Oral).
[EMNLP 2026] Beyond Factual Knowledge: Benchmarking and Learning Step-Level Procedural Rule Reasoning in Large Language Models
Benchmarking headless browsers as agent runtimes
[EMNLP 2026] RuleWeaver: Benchmarking Rule-Centered Scenario Reasoning for Large Language Models
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.