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.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
High-performance In-browser LLM Inference Engine
🐫 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.
🐍 Geometric Computer Vision Library for Spatial AI
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
TensorFlow-based neural network library
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!
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Flower: A Friendly Federated AI Framework
An open source library for deep learning end-to-end dialog systems and chatbots.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.