Awesome-LLMOps

🎉 An awesome & curated list of best LLMOps tools. But more about LLMOps.

LLMOps

Name	Stars	Release	Contributors	About
BentoML				Build Production-Grade AI Applications
Dify				One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications
FastChat				An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Flowise				Drag & drop UI to build your customized LLM flow
Haystack				🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
LangChain				⚡ Building applications with LLMs through composability ⚡
LiteLLM				lightweight package to simplify LLM API calls - Azure, OpenAI, Cohere, Anthropic, Replicate. Manages input/output translation
LLaMa-Factory				Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
LlamaIndex				LlamaIndex (GPT Index) is a data framework for your LLM applications
Ludwig				Low-code framework for building custom LLMs, neural networks, and other AI models
SkyPilot				SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

Name	Stars	Release	Contributors	About
Flyte				Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Kubeflow				Machine Learning Toolkit for Kubernetes
Metaflow				🚀 Build and manage real-life data science projects with ease!
MLflow				Open source platform for the machine learning lifecycle
ZenML				ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Name	Stars	Release	Contributors	About
ColossalAI				Making large AI models cheaper, faster and more accessible

Name	Stars	Release	Contributors	About
AutoGPT				An experimental open-source attempt to make GPT-4 fully autonomous.
MetaGPT				🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
XAgent				An Autonomous LLM Agent for Complex Task Solving

Name	Stars	Release	Contributors	About
DeepSpeed-MII				MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
LMDeploy				LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
OpenLLM				Operating LLMs in production
RayServe				Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
SGLang				SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.
Triton Inference Server				The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Text Generation Inference				Large Language Model Text Generation Inference
vLLM				A high-throughput and memory-efficient inference and serving engine for LLMs

Name	Stars	Release	Contributors	About
AgentBench				A Comprehensive Benchmark to Evaluate LLMs as Agents
lm-evaluation-harness				A framework for few-shot evaluation of language models.

Name	Stars	Release	Contributors	About
deeplake				Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Name	Stars	Release	Contributors	About
OpenLLMetry				Open-source observability for your LLM application, based on OpenTelemetry
phoenix				ML Observability in a Notebook - Uncover Insights, Surface Problems, Monitor, and Fine Tune your Generative LLM, CV and Tabular Models