Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Build, Manage and Deploy AI/ML Systems
The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.
🚴 Call stack profiler for Python. Shows you why your code is slow!
Silky smooth profiling for Django
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
A simple, high-quality voice conversion tool focused on ease of use and performance.
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle
A high-performance distributed training framework for Reinforcement Learning
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
A high-performance ASCII video rendering engine featuring real-time WebSocket binary streaming and an isolated compiler for serverless static generation. Built for low-latency 30 FPS playback on HTML5 Canvas.
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
Load and performance benchmark tool
AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.
Automation-friendly framework for Continuous Testing by
Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
A set of documented functions for simulating the performance of photovoltaic energy systems.
GraalPy – A high-performance embeddable Python 3 runtime for Java
Creates standalone executables from Python scripts with the same performance as the original script. It is cross-platform and should work on any platform that Python runs on.
Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.
Persistent HTTP cache for python requests
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Benchmark for vector databases.
A simple Minecraft modpack focusing on performance and graphics enhancements.
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
OpenCL integration for Python, plus shiny features
A terminal Flamegraph viewer.
OpenMC Monte Carlo Code
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
Python Performance Benchmark Suite
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
High-performance serialization without replacing your data model
a free local self hosted video compressor webui designed for performance and ease of use. inspired by 8mb.video
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
Automatically monitor the evolving performance of Flask/Python web services.
Use TradeRepublic in terminal and mass download all documents
A Python high-performance screen capture library for Windows using Desktop Duplication API - Updated 2026
Oxyde ORM is a type-safe, Pydantic-centric asynchronous ORM with a high-performance Rust core designed for clarity, speed, and reliability.
A high-performance Python SDK for building real-time WhatsApp applications with a Go-powered core, event-driven APIs, and production-ready reliability.
DSL and compiler framework for automated finite-differences and stencil computation
Simple library to make working with STL files (and 3D objects in general) fast and easy.
The All-in-One System Profiling and Fault Detection Tool for Linux & Android
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
🔧 High-performance Python rate limiting library with multiple algorithms (Fixed Window, Sliding Window, Token Bucket, Leaky Bucket & GCRA) and storage backends (Redis, In-Memory).
Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python
Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning.
A code generator for array-based code on CPUs and GPUs
Build high-performance AI models with modular building blocks
High-performance, light-weight C++ LLM and VLM Inference Software for Physical AI
DaCe - Data Centric Parallel Programming
A high performance, concurrent http client library for python with gevent
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.