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Awesome List
A curated list of awesome LLM frameworks, libraries and software.
GitHub stars and default-branch commits for uhub/awesome-llm.
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🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Supercharge Your LLM Application Evaluations 🚀
Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
The platform for LLM evaluations and AI agent testing
SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
An open-source visual programming environment for battle-testing prompts to LLMs.
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends