Open Source Packages
Libraries, frameworks, tools, and SDKs used by the apps in this directory — scored the same way as the apps themselves.
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PyTorch
A Python-first tensor library with GPU acceleration and a dynamic, define-by-run autograd engine for building and training deep neural networks.
Transformers
State-of-the-art pretrained models for text, vision, audio, and multimodal inference and training.
scikit-learn
Simple and efficient tools for machine learning and data analysis in Python.
Datasets
One-line loading and fast, Arrow-backed processing for thousands of ML datasets
huggingface_hub
The official Python client and hf CLI for the Hugging Face Hub, for downloading, uploading, and managing models, datasets, and Spaces.
ONNX Runtime
Cross-platform, high-performance ML inference and training accelerator for ONNX models
got
Human-friendly and powerful HTTP request library for Node.js, with retries, streams, pagination, and RFC 7234 caching built in.
Echo
A minimalist, high-performance Go web framework with a radix-tree router, built-in middleware chain, and first-class HTTP/2 support.
vision
PyTorch's official library for datasets, pretrained models, and image transformations in computer vision.
modal-client
Deploy Python functions to serverless GPU and CPU cloud infrastructure with a single decorator.
torchaudio
GPU-accelerated audio processing library built on PyTorch, with differentiable transforms, Kaldi-compatible features, and pretrained speech models.
onnxruntime-node
Microsoft's official Node.js binding for running ONNX model inference in production JavaScript apps
Streamlit
Turn a Python script into a shareable data app in minutes, with no frontend code
websocket
Minimal, idiomatic Go WebSocket library with full context.Context support, zero dependencies, and Wasm compatibility.
ort
A safe Rust wrapper for ONNX Runtime — fast ML inference and training