Search Packages

pytest-sort

Tools for sorting pytest test cases

arrowverse-reorderer

Order Arrowverse episodes files in air time order

lunafind

Search, filter, inspect, download posts from Danbooru/Safebooru and find them back from the command line without setting up any service or database.

flowrisk

A Python Implementation of Measures for Order Flow Risk, e.g. VPIN

lightmatchingengine

A very light matching engine in Python.

lunakit

Search, filter, inspect, download posts from Danbooru/Safebooru and find them back from the command line without setting up any service or database.

columnflow

columnflow

betterlifepsi

Betterlife Intelligent PSI(Purchase, Sales and Inventory) system

thoad

**thoad** (Torch High Order Automatic Differentiation) is a lightweight reverse-mode autodifferentiation engine written entirely in Python that works over PyTorch’s computational graph to compute **high order partial derivatives**. Unlike PyTorch’s native autograd - which is limited to first-order native partial derivatives - **thoad** is able to performantly propagate arbitray-order derivatives throughout the graph, enabling more advanced gradient-based computations.