Plug And Play Python Packages

django-admin-rest-api

Make your Django admin headless in two lines: add it to INSTALLED_APPS, include the URLs. Every ModelAdmin you've already registered becomes a JSON REST endpoint — same permissions, same forms, same audit log. No parallel auth, no parallel validation, no rewrites. A drop-in API surface for React frontends, MCP servers, and any other JSON client.

svmbir

Fast code for parallel or fan beam tomographic reconstruction

usb-monitor

USBMonitor is an easy-to-use cross-platform library for USB device monitoring that simplifies tracking of connections, disconnections, and examination of connected device attributes on Windows, Linux and MacOS, freeing the user from platform-specific details or incompatibilities.

mbirtorch

MBIR reconstruction implemented in PyTorch

django-plugin-system

A lightweight, batteries-included plugin registry for Django apps. Use it to expose swappable implementations (e.g., multiple OTP providers, Payment methods, ...) behind a stable interface, select the active plugin in Django Admin, and keep the database in sync with in‑code registrations via a management command.

sinq

Welcome to the official repository of SINQ! A novel, fast and high-quality quantization method designed to make any Large Language Model smaller while preserving accuracy [ICML 2026]

protransformers

[NeurIPS 2024] ProTransformer: Robustify Transformers via Plug-and-Play Paradigm. A 4-line robust attention layer that plugs into any pretrained transformer (BERT, ViT, LLaMA, Vicuna, T5, GAT) without retraining.

lesp

📚 LESP is a lightweight, efficient spellchecker in Python, intentionally made minimal and easy to integrate.

qml-hcs

QML-HCS: Quantum Machine Learning Hypercausal System A research-grade library for quantum-inspired machine learning with hypercausal feedback.

fernsicht

Watch long-running jobs from any device. Wrap any command to stream its progress, ETA and rate to a web viewer over peer-to-peer WebRTC. No signup, no code changes.

pnp-mace

Utilities and methods to use the PnP algorithm and MACE framework on image reconstruction problems. Includes demos for superresolution and CT.

pytspsolver

🚚 Easy to use python package for rapid experimentation on the classic travelling salesman problem. Contains implementations of various optimization algorithms, cool visualizers and a plug-in architecture.