Open Source Python Scientific/Engineering Software - Page 64

A python module aimed to automate routine lab calculating and formatting tasks.

The Serial Data Acquisition is a lightweight data acquisition system able to parse a vast majority of mostly unidirectional streams. Results are saved in a SQLite DB and accessible over XML-RPC or plain HTTP. Its design is modular and easily extendable.

PyExp is a Python framework to develop programs driving physical experiments, dealing with Physical Elements in the high layer and translating this into actions on devices or groups of devices on the low layer.

This project is a python module containing functions to do with matricies. The functions allow all of the standard matrix operations plus a few extras.

The focus of this project is to port the OO interpreter language Python and its extensions (GUI, CORBA, SOAP, XML-RPC, QNX message passing, Data Bases a.s.o) to QNX4 and QNX6 (QNX RTP). URLs: www.python.org

Pyfort is a tool for creating extensions to the Python language with Fortran routines. It supports F77-interfaced routines now, with plans for supporting more of F90 later.

The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model.

Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md

A python API for Google's KML file. Added doc Added description to PlaceMark

A Python Script I made to split a starfield image into several layers. To be able to use the script, PixInsight with an installed Gaia data catalogue is required, as it needs the exported astrometry data text file.

Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format.

Q-CTRL Open Controls is an open-source Python package that makes it easy to create and deploy established error-robust quantum control protocols from the open literature. The aim of the package is to be the most comprehensive library of published and tested quantum control techniques developed by the community, with easy-to-use export functions allowing users to deploy these controls on.

QCyclingPower is a usefull tool that allow you to calculate your cycling power using GPS Tracks (GPX/KML). You'll be able to compare different tracks. Today the tool cannot be used. Go on wiki page for more detailed state of the project. No time line defined by the way. I'm not crazy.

QDC (quick direct-method controlled) is an optimized exact implementation of the Gillespie's direct-method. It is designed for biochemical simulations when there is the need of dynamic parameters whose values can change during the simulation.

QGis permit the use of python script to handle maps. Here are some python code ready to use and modify, and some associated samples.

QGIS Plugin to Read/Write xml metadata files associated with geospatial file formats.

QGis Python Plugin to create named map themes to switch the visibility of all layers belonging to theme. Experimental working prototype with functionality to include in future version of QGIS.

The QIIME project has moved to GitHub. You can now find us at http://github.com/qiime/. As always, you can find the QIIME website at http://www.qiime.org.

QMcBeaver is an object-oriented program to perform Quantum Monte Carlo calculations on atoms and molecules. It is designed to be easy to modify, allowing new ideas to be quickly implemented.

QPendulum is a python module and a documentation for researcher, students and amateurs who wants to evaluate the Quantum Macroscopic Effects.

This is a viral quasispecies reconstruction software for quasispecies assembly problem on mRNA viruses, which is based on a correlation clustering approach and uses semidefinite optimization framework. The software accepts a reference genome, a NGS read set aligned to this reference and set of SNP locations in the form of a vcf file and outputs an optimal set of reconstructed species genomes which describes the underlying viral population.

QTL Reaper analyzes data from progeny of a genetic cross in experimental plants or animals. It seeks the location of genes that affect a heritable trait, and it is specially designed for analysis of gene expression measurements.

QTLab is a ipython-based measurement environment.

QUASR is a lightweight pipeline written to process and analyse next-generation sequencing (NGS) data from Illumina, 454, and Ion Torrent platforms. Although originally written for viral data, it is generic enough to work on any NGS dataset. Functions include: duplicate removal demultiplexing primer-removal quality-assurance (QA) graphing quality control (QC) consensus-generation minority-variant determination minority-variant graphing The main current version is 6.X, which is written in Python3. 7.X is my rewrite in Java, but is still work in progress. Both are written to be as lightweight as possible so they can run with minimal memory-requirements on a desktop or laptop as well as on a compute cluster. If you have any problems with QUASR, please do contact me at the email address provided in the README.

Graph-based Extraction and Summarization - a generic graph-based summarization framework. Basic functionality is provided - third-party modules can be plugged in.