Performance Optimization Python Packages

codegreen

Know the true energy cost of your code

fastmssql

High performance async Mssql library for Python.

django-trackings

A Django app that tracks your queries to help optimize them. See Qorme for automated ORM optimization: https://qorme.com?ref=dj-tracker

fastmssql-dbproj

High performance async Mssql library for Python.

akenoai

AkenoAi Python Wrapper For Plus+

profine

Profine automatically profiles and optimizes PyTorch training jobs on real GPUs, delivering measurable speedups and lower GPU costs before teams waste days tuning configs by hand.

onediff

an out-of-the-box acceleration library for diffusion models

ado-core

A framework for designing, executing and analysing experiment campaigns

onediffx

OneDiff: An out-of-the-box acceleration library for diffusion models.

ado-vllm-performance

A framework for designing, executing and analysing experiment campaigns

autotuning-methodology

This software package accompanies the paper "A Methodology for Comparing Auto-Tuning Optimization Algorithms" (https://doi.org/10.1016/j.future.2024.05.021), making the guidelines in the methodology easy to apply.

asyncio-keyed-lock

Per-key asyncio locking with automatic cleanup and graceful-shutdown support. Zero dependencies.

labelmev2

Image annotation tool with 45x faster loading, enhanced zoom (5000%), multiple point addition, polygon merge, and dark mode. Enhanced fork of wkentaro/labelme optimized for large image annotation workflows.

residue-protocol

Bare-Metal AVX2 Inference Shield for LLMs

llm-autobatch

Turn single LLM calls into fast micro-batches. Rust core, Python API.

batch-inference

Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.

hybrid-cloud-navigator

A new package that helps users understand and navigate the complexities of hybrid cloud environments in 2025. Users can input their specific hybrid cloud challenges, such as data gravity (the tendency

lvmthin-helper

lvmthin-helper automates LVM Thin Provisioning management by analyzing user inputs and current setups, offering optimized configurations and troubleshooting steps for efficient storage.

pdperf

A static performance linter that detects slow Pandas anti-patterns before they reach production

labelme-enhanced

Image annotation tool with 45x faster loading, enhanced zoom (5000%), multiple point addition, polygon merge, and dark mode. Enhanced fork of wkentaro/labelme optimized for large image annotation workflows.