Best AI tools for evals datasets

Eval, monitor, and improve AI products end-to-end.

LangChain's eval + observability platform.

The ML experiment tracker, now with LLM eval features.

Enterprise observability and evaluation platform for LLM agents and generative AI applications.

Continuous AI red teaming platform that stress-tests LLM agents for vulnerabilities before they hit production.

Open-source data quality framework for validating the datasets that feed your ML and analytics pipelines.

Prompt management + evals for collaborative AI teams.

Contamination-free LLM benchmark that refreshes its questions monthly to keep frontier models honest.

Collaborative LLM evaluation and observability platform for teams shipping AI features to production.

Open benchmark from UC Berkeley that ranks LLMs on real-world tool-use and function-calling accuracy.

OpenTelemetry-native observability and evaluation platform for LLM agents in production.

Open-source platform for tracking, evaluating, and deploying ML models and LLM applications.

OpenAI's open-source framework for benchmarking LLMs against a shared registry of evaluations.

Open-source evaluation and tracing framework for LLM apps and agents, built on OpenTelemetry.

Production observability, tracing, and evaluation for LLM and agent systems from the Weights & Biases stack.

Git-style prompt management, testing, and deployment platform for teams running multiple LLMs in production.

Live leaderboard and side-by-side comparison hub for 300+ frontier LLMs across reasoning, coding, and multimodal benchmarks.

Automated LLM evaluation for hallucinations, safety, and quality.

Open-source LLM observability, prompt management, and evaluation in one platform.

Holistic benchmark suite for evaluating mathematical reasoning in large language models.

Open-source LLM observability and evaluation platform for debugging and monitoring AI agents in production.

Open-source LLM evaluation framework from the UK AI Security Institute with 200+ built-in benchmarks.

Open-source workbench for building, evaluating, and fine-tuning AI agents across 190+ models.

Open academic benchmark suite for stress-testing LLMs on contamination-resistant, domain-specific tasks.

Open-source eval and red-teaming framework for LLM apps, prompts, and RAG pipelines.

Autoresearch engine that iteratively rewrites code to optimize against a numeric evaluation metric.

Automatic LLM evaluator and leaderboard that benchmarks instruction-following with length-controlled win rates.

End-to-end evaluation, simulation, and observability platform for shipping production-grade AI agents.

Prompt management and side-by-side LLM evaluation for OpenAI and Anthropic models.

LLM engineering platform combining a multi-model gateway with tracing, evals, and prompt management.

Private, expert-graded leaderboards from Scale AI that rank frontier LLMs on domains contaminated public benchmarks can no longer measure.

Open benchmark for evaluating multimodal web agents on realistic visual browsing tasks.

Terminal tool that scores hundreds of open LLMs against your actual CPU, RAM, and GPU and tells you which ones will run well.

Olympiad-level multi-discipline benchmark for stress-testing reasoning in LLMs and multimodal models.

Open-source LLM and agent observability platform with tracing, evals, and experimentation built on OpenTelemetry.

Open-source LLMOps platform for prompt engineering, evaluation, and observability in one workspace.

Public leaderboard from the OpenCompass project ranking open and closed LLMs across 100+ benchmarks.

Stack Overflow-derived benchmark for evaluating code LLMs on real-world programming questions.

Dynamic LLM benchmark that mixes web queries with existing datasets to mirror Chatbot Arena rankings at a fraction of the cost.

Head-to-head LLM battle arena with a public leaderboard for ranking AI models.

Independent benchmarking platform comparing AI models and inference providers across intelligence, speed, and cost.

LLM evaluation, observability, and prompt management platform for teams shipping production AI apps.

Ten AI coding models, three identical briefs, thirty explorable 3D worlds

Measure the gap between what your site claims and what an AI agent actually finds

Simulation-based testing, evaluation, and observability for LLM agents

Match LLMs to GPUs and plan multi-model AI stacks by VRAM, bandwidth and precision.

100 models, 100 prompts, 30,000 answers — an interactive look at AI defaults

Open-source red-teaming and execution-layer defense for AI agents against prompt injection.