The Stacks
Libraries, CLIs and infrastructure for building with AI.
Free to explore · curated by OneWave AI
215 developer tools projects in this wing of the Stacks. Review status is shown for every entry.
Review is in progress. 1,407 projects are queued and none has been approved yet. Everything unreviewed is discovery metadata imported from GitHub — listed, not vetted.
Ranked by total stars at the last daily refresh. This is not stars earned during the selected period. Star counts in the AI category are known to be inflated by fake-star campaigns, so activity and license are shown first.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
SGLang is a high-performance serving framework for large language models and multimodal models.
Vane is an AI-powered answering engine.
Production-grade Rust-native trading engine with deterministic event-driven architecture
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Universal LLM Deployment Engine with ML Compilation
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
High-performance In-browser LLM Inference Engine
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
🐍 Geometric Computer Vision Library for Spatial AI
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
TensorFlow-based neural network library
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
A collection of libraries to optimise AI model performances
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.