🐢 Open-Source Evaluation & Testing for AI & LLM systems

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.

Python SDK for running evaluations on LLM generated responses

Generate ideal question-answers for testing RAG

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)

🎯 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

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.

The prompt engineering, prompt management, and prompt evaluation tool for Python

LLM Security Platform.

LLM Evaluation Framework

Generative agents — computational software agents that simulate believable human behavior and OpenAI LLM models. Our main focus was to develop a game - “Werewolves of Miller’s Hollow”, aiming to replicate human-like behavior.

Shin Rakuda is a comprehensive framework for evaluating and benchmarking Japanese large language models, offering researchers and developers a flexible toolkit for assessing LLM performance across diverse datasets.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

First Punjabi LLM Eval.