🚀 The fast, Pythonic way to build MCP servers and clients

Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

PyByntic extends Pydantic with binary-typed fields and automatic byte-level serialization. Define models using familiar Pydantic syntax and turn them into compact binary payloads with full control …

A collection of 100+ specialized Claude Code subagents covering a wide range of development use cases

A data modelling layer built on top of polars and pydantic

SQL databases in Python, designed for simplicity, compatibility, and robustness.

FastAPI Skeleton App to serve machine learning models production-ready.

Flight rules for git

Detect leaked asyncio tasks, threads, and event loop blocking with stack trace in Python. Inspired by goleak.

Blazingly fast cognitive complexity analysis for Python, written in Rust.

🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

Machine learning metrics for distributed, scalable PyTorch applications.

Scan your uv.lock file for dependencies with known vulnerabilities

Unbearably fast near-real-time pure-Python runtime-static type-checker.

🐦 Quickly annotate data from the comfort of your Jupyter notebook

A very fast Python docstring linter

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

Uncertainty quantification with PyTorch

Copy-paste augmentation for segmentation and detection tasks

Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/

Rust bindings for the Python interpreter

Extensible memoizing collections and decorators

TensorDict is a pytorch dedicated tensor container.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Python compiler

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Synthetic data generators for tabular and time-series data

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.