Open Source Packages
Libraries, frameworks, tools, and SDKs used by the apps in this directory — scored the same way as the apps themselves.
All Packages
Category
Tags2
Sort:Used by Most Apps
NumPy
The fundamental N-dimensional array library powering Python's scientific computing stack.
PyTorch
A Python-first tensor library with GPU acceleration and a dynamic, define-by-run autograd engine for building and training deep neural networks.
Datasets
One-line loading and fast, Arrow-backed processing for thousands of ML datasets
orjson
A fast, correct, Rust-backed JSON library for Python with native dataclass, datetime, and numpy support
einops
A readable, framework-independent notation for tensor rearrangement, reduction, and repetition.
ipykernel
The IPython kernel that lets Jupyter notebooks, JupyterLab, and other frontends run and interact with Python code.
IPython
A productive interactive Python shell with rich introspection, tab completion, and magic commands.
ipywidgets
Interactive HTML widgets for Jupyter notebooks
ormsgpack
A fast Rust-backed MessagePack library for Python with native dataclass, datetime, numpy, and Pydantic support.
nbformat
Reference implementation of the Jupyter Notebook JSON format
nbconvert
Convert Jupyter notebooks to HTML, PDF, Markdown, and more
traitlets
A pure Python library that adds typed, validated, observable attributes to your classes, and the layered configuration system built on top of them.
TensorFlow Datasets
Ready-to-use, versioned public datasets exposed as tf.data.Dataset objects, with first-class support for TensorFlow, JAX, and NumPy pipelines.
SimSIMD
SIMD-accelerated distance, dot-product, and similarity kernels for high-dimensional vectors.
rust-numpy
PyO3-based Rust bindings to the NumPy C-API for sharing array data between Rust and Python.