Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

AI Observability & Evaluation

🐢 Open-Source Evaluation & Testing library for LLM Agents

Evaluation and Tracking for LLM Experiments and AI Agents

ETL, Analytics, Versioning for Unstructured Data

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.

Python SDK for running evaluations on LLM generated responses

A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.

Python SDK for experimenting, testing, evaluating & monitoring LLM-powered applications - Parea AI (YC S23)

Бенчмарк сравнивает русские аналоги ChatGPT: Saiga, YandexGPT, Gigachat

llm-eval-simple is a simple LLM evaluation framework with intermediate actions and prompt pattern selection

Develop reliable AI apps

First-of-its-kind AI benchmark for evaluating the protection capabilities of large language model (LLM) guard systems (guardrails and safeguards)

🎯 Your free LLM evaluation toolkit helps you assess the accuracy of facts, how well it understands context, its tone, and more. This helps you see how good your LLM applications are.

An open source library for asynchronous querying of LLM endpoints

LLM Security Platform.

This is an opensource project allowing you to compare two LLM's head to head with a given prompt, this section will be regarding the backend of this project, allowing for llm api's to be incorporated and used in the front-end

Realign is a testing and simulation framework for AI applications.

Run a prompt against all, or some, of your models running on Ollama. Creates web pages with the output, performance statistics and model info. All in a single Bash shell script.