Free to explore · curated by OneWave AI
130 developer tools projects. Libraries, CLIs and infrastructure for building with AI.
Review is in progress. 1,004 projects are queued and none has been approved yet. Everything unreviewed is discovery metadata imported from GitHub — listed, not vetted.
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🤗 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.
Vane is an AI-powered answering engine.
Production-grade Rust-native trading engine with deterministic event-driven architecture
🐍 Geometric Computer Vision Library for Spatial AI
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.
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
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.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Flower: A Friendly Federated AI Framework
An open source library for deep learning end-to-end dialog systems and chatbots.
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
AdalFlow: The library to build & auto-optimize LLM applications.
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.