Research And Development Python Packages

imgui-bundle

Interactive Python & C++ apps for desktop, mobile, and web - powered by Dear ImGui. Stop fighting GUI frameworks. Start building.

korean-rnd-regs-mcp

국가연구개발(정부 R&D) 규정 검토용 MCP 서버 — 혁신법·시행령·행정규칙 55종을 AI로 검색·검토 (Korean national R&D regulations MCP)

sima-vision

A practical computer vision workspace for building, testing, and deploying Vision AI applications on the SiMa.ai Modalix DevKit 3.0, with setup guides and reference applications including YOLO object detection, instance segmentation, and other enterprise focused.

machinable

A modular system for machinable research code

micro-manager-precice

A manager tool to facilitate two-scale coupling in multi-physics simulations using preCICE.

agencitylab

AgencityLab is an open-source scientific Python framework for implementing, testing, and exploring the Theory of Agencity.

patzilla

PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.

timetaggerrpc

RPC interface for Swabian Instruments' Time Tagger. Control your Time Tagger over the network.

deltau

A backtesting and performance analysis package

streamgrid

Multi-stream video inference with Ultralytics YOLO - Display multiple video streams in a grid layout with real-time object detection.

nitrodigest-cli

Playground for learning by doing

modularml

Modular, fast, and reproducible ML experimentation built for R&D.

datasetiq

Official Python client for DataSetIQ — The Modern Economic Data Platform. Access millions of datasets with pandas-ready DataFrames.

nitrowebfetch-cli

Playground for learning by doing

latex-parser

latex_parser – A Python package that compiles physics-style LaTeX operator expressions into simulation backends (QuTiP / NumPy / JAX). Includes a DSL for bosonic/qubit operators, an intermediate representation engine and example workflows for quantum optics and continuous-variable models.

pinnacle-pub

This project aims at analyzing the publication metrics at the Instituto de Astronomía Teórica y Experimental (IATE, Argentina), in order to identify possible problems and to design new strategies to optimize resources and increase the impact of the research results obtained at the Institute.