Order Python Packages

flowrisk

Order flow risk measures in Python

pytest-sort

Tools for sorting test cases

arrowverse-reorderer

Order Arrowverse episodes files in correct watch order

columnflow

columnflow

lightmatchingengine

A light matching engine

lunafind

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

betterlifepsi

Betterlife Intelligent PSI(Purchase, Sales and Inventory) system

lunakit

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

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.