Vectorized Python Packages

starrocks

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

vmas

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

qpace

📊 The Quant SDK for Python and Javascript. Written in Rust.

grizzlars

High-performance DataFrame library written in C++ with Python bindings.

vasapy

Vectorized Associative Arrays for Python

lakesoul

LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.

columnflow

Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.

algoalpha

📊 The Quant SDK for Python and Javascript. Written in Rust.

dbt-dataops-starrocks

The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.

qpace-suite

📊 The Quant SDK for Python and Javascript. Written in Rust.

rihog

Vectorized PyTorch implementation of Rotation Invariant Histogram of Oriented Gradients