Open Source Python Scientific/Engineering Software - Page 64

The NMR Restraints Grid (NRG at http://www.bmrb.wisc.edu/WebModule/MRGridServlet) contains the original NMR restraint data (distance, dihedral angle and RDC) and the parsed, converted, and filtered for ~4,000 protein and nucleic acid structures with corr

This is a set of scripts that helps with processing of NMR pH titration data. These scripts allow for fitting (using R) and plotting of data of multiple residues. The program needs to be made more user friendly.

UPDATE: The latest version of NNScore1 can be found here: http://git.durrantlab.com/jdurrant/nnscore1 The latest version of NNScore2 can be found here: http://git.durrantlab.com/jdurrant/nnscore2 ================ NNScore is a scoring function for characterizing the potency of receptor-ligand complexes. It is based on neural networks, computational models that simulate the microscopic organization of the brain.

NTuple is a Python module used by high-energy physicists and astrophysicists to easily and efficiently access ntuple data stored in large ROOT data stores. Specifically, NTuple provides a friendly Pythonic interface to TNtuples and TTrees stored in TFiles

A platform independent framework to remote control Lego Mindstorms NXT from Python. Using PyBluez http://org.csail.mit.edu/pybluez/ for Bluetooth connectivity and wxPython http://www.wxpython.org/ for UI.

Naimath (syn. blessing) is a project to create tools for diagnosis, management of clinical cases in the form of Rule based Medical Expert System integrating Interactive Health education, Semantified EMR, and serve as a learning tool for students. Website seen at www.naimath.com

Tools for analysis of multiwavelength anomalous diffraction data collected on synchrotron beamlines, more specifically developed for grazing incidence diffraction on nanostructures.

Napkin (also titled “An Infinitely Large Napkin”) is a lightweight, semi-formal introduction to higher mathematics, aimed at giving readers a bird’s-eye view over various mathematical fields. It is not a polished textbook full of full proofs; rather it offers clean definitions, theorem statements, intuitive motivations, and informal sketches of why things work, with the goal of building conceptual understanding. The coverage spans undergraduate and early graduate topics, designed to show how different areas of math fit together—linear algebra, analysis, topology, number theory, and more—without going deeply into every subtopic. Because it is written in LaTeX (with supporting Asymptote or other tools), readers can compile their own version, and the repository integrates diagrams, flowcharts, and supplementary files.

Narcissistic number library for Python

The main idea behind this project is the use of a common text to enclose a message by manipulating the structure of the semantic tree of each phrase in the text.

Remotely monitor and control a network.

NetView P has been re-structured as a package for R and moved to GitHub: https://github.com/esteinig/netview

Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.

NeuraPy is now hosted on github This is a collection of Python modules that read files encountered in neuroscience experiments. Included are modules to read lablib files and modules to read Cyberkinetics Cerebus system .nev and .ns3 files

Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.

NeuroPython is a Python module created for easy simulation of neural networks.

Newton is a high-performance, GPU-accelerated physics simulation engine designed primarily for robotics research, machine learning, and advanced simulation workflows. Built on top of NVIDIA Warp, it leverages GPU parallelism to deliver scalable and efficient simulation environments that support rapid iteration and experimentation. The engine extends previous simulation frameworks by introducing differentiable physics capabilities, allowing it to integrate seamlessly with machine learning models and optimization pipelines. Newton supports OpenUSD for modern 3D scene representation and interoperability, making it suitable for complex simulation ecosystems. It is developed as a Linux Foundation project with contributions from major organizations like NVIDIA, Google DeepMind, and Disney Research, highlighting its relevance in cutting-edge robotics and AI development.

Extensions to the circuit simulator Ngspice. One extension is the integration of the next generation build system SCons.

This project has moved to http://sourceforge.net/projects/ngspice-ext.

This program was written to dimonstrate errors in transmission for a presentation on Claude Shannon's Noisy Channel Coding Theorem. It takes an input file, the probability of a bit being flipped, and, if specified, the size of the header of the file. The program was intended to take monochrome bitmap files as input, so that each bit refers to a pixel in the image and thus, it would be easy to see errors in the output file, as some of the pixels would be flipped; however, it will work on any input file.

NumericalFISH is a bioinformatics graphical tool for easy analysis of BLAST or BLAT results, especially aimed at the study of duplications or segmental duplications.

Python package OCFit includes 4 classes for analysis and fitting of O-C diagrams of Eclipsing binaries In a case of using this package for scientific purposes, please, cite our paper Gajdoš & Parimucha (2018) where you can also find more detail description about fitting functions and used models. For install it, download/clone this repository or download suitable binary file from releases. Not working yet! The first release comming soon... Requirements numpy matplotlib PyAstronomy pymc Installation is possible from source code or using build installation binary file (only for OS Windows). The following procedure is only for installation from the source code. Extract files and go to new-created folder. Running script setup.py the installation will be done: python setup.py install

Calculating the fundamental optical parameters of a lens. It provides an intuitive graphical interface for optical engineers, photographers, and students to explore the relationships between focal length, field of view, sensor size, and aperture. The user selects which parameter they want to calculate, and the program automatically computes it using the provided values. Parameters are recalculated instantly as you type, providing immediate feedback.

OM Open-source multimeter is a hobby project of mine which is intended to do a multimeter's job and measure volt,ampere,ohm,capacitance and ... . the features would be high precision,plotting,computer connectivity,and of course being open source.

An open-source cross-platform compiler for the Savage Innovations OOPic microcontroller.