Performance Optimization Python Packages

django-eagle

Catch wasted eager loads in your Django ORM queries.

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

codegreen

Know the true energy cost of your code

onediff

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

asyncio-keyed-lock

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

ado-core

A framework for designing, executing and analysing experiment campaigns

onediffx

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

cthreads

Typed Python that compiles to C++ and runs on real OS threads. Same jobs/pools/sync feel as normal Python, without the GIL or multiprocessing overhead. Optional Vulkan @Gpu kernels via pip install cthreads-gpu

akenoai

AkenoAI-Lib is a high-performance library for making raw HTTP requests, powered by aiohttp. It provides a simple yet powerful syntax for handling API requests efficiently, ensuring speed and flexibility.

ado-vllm-performance

A framework for designing, executing and analysing experiment campaigns

autor3search

Autonomous AI-driven performance optimization for any Python repository

cthreads-gpu

Typed Python that compiles to C++ and runs on real OS threads. Same jobs/pools/sync feel as normal Python, without the GIL or multiprocessing overhead. Optional Vulkan @Gpu kernels via pip install cthreads-gpu

autozyme

Autonomous multi-agent framework to optimize scientific software

fastmssql-dbproj

High performance async Mssql library for Python.

autor3search-python

Autonomous AI-driven performance optimization for any Python repository

mlsys-lab

Auto-graded exercises in low-level ML systems: real C++, real CUDA-C on a software GPU (no NVIDIA hardware), deterministic measured gates.

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.

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.

llm-autobatch

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

reactive-caching

Caching module for class properties, with automatic invalidation based on attribute changes.

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.

pdperf

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

batch-inference

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