Open Source Python Scientific/Engineering Software - Page 20
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Python Scientific/Engineering Software
View 202 business solutionsBrowse free open source Python Scientific/Engineering Software and projects below. Use the toggles on the left to filter open source Python Scientific/Engineering Software by OS, license, language, programming language, and project status.
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ebfformat
An Efficient Binary data Format
EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code if needed. It is also designed to simplify the programming of input output routines in different programming languages. In a nutshell an EBF file is a collection of data objects. Each data object is specified by a unique name and a single file can have multiple data objects. Each data object is preceded by a meta-data or header which describes the binary data associated with it. Among other things, this header allows the files to be portable across systems with different endianess. -
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eurown
A Python module for EuroWordNet files and data.
A Python module for EuroWordNet files and data. -
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mlpy
Machine Learning Python
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL. mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection. mlpy is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 3. mlpy is available both for Python >=2.6 and Python 3.X. -
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Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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orbkit (Moved to Github)
A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum
PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work, please cite it as follows: Gunter Hermann, Vincent Pohl, Jean Christophe Tremblay, Beate Paulus, Hans-Christian Hege, and Axel Schild, "ORBKIT: A Modular Python Toolbox for Cross-Platform Postprocessing of Quantum Chemical Wavefunction Data", J. Comput. Chem. 2016, DOI: 10.1002/jcc.24358. orbkit's documentation can be found at http://orbkit.github.io/ -
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pyLuminous
python modules for modelling some optical systems.
This project is a collection of python modules for modelling various optical systems. It presently consists of pyFresnel and pyQW. pyFresnel models optical properties of dielectric layers and includes a thin film model (unlike the many other codes out there this can also handle uniaxial layers as long as the optical axis is aligned with the stack growth direction). pyQW models very simple (n-doped) quantum well structures and their intersubband transitions. -
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pysoundanalyser
a python program to generate, visualize, and manipulate short sounds
pysoundanalyser is a Python application that can be used to generate, visualize, and manipulate short sounds through a graphical user interface. Visualization functions include visualization of the power spectrum, the spectrogram, the autocorrelation, and the autocorrelogram of a sound. Manipulation functions include filtering, concatenating, cutting, and scaling the level of a sound. Several types of sounds can also be generated including, pure tones, harmonic complex tones, noise of different colours, frequency modulated and amplitude modulated tones. -
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IMPORTANT: The project moved over to github! You can find it at: https://github.com/exhuma/python-cluster
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LinuxCNC controls CNC machines. It can drive milling machines, lathes, 3d printers, laser cutters, plasma cutters, robot arms, hexapods, and more.
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MRCWA - Multilayer Rigorous Coupled Wave Analysis is a fast, flexible optical grating solver. It calculates an exact solution to the Maxwell equations for the diffraction of light from an optical grating with arbitrary profile and materials.
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PS-Drone
Programming a Parrot AR.Drone 2.0 with Python - The Easy Way
The PS-Drone-API is a full featured SDK, written in and for Python, for Parrot's AR.Drone 2.0. It was designed to be easy to learn, but it offers the full set of the possibilities of the AR.Drone 2.0, including Sensor-Data (aka NavData), Configuration and full Video-support. The video function is not restricted to mere viewing, it is also possible to analyze video images data using OpenCV2. Obviously, the PS-Drone is perfect for teaching purposes; however, even the requirements for professional purposes can be satisfied. PS-Drone comes with a tutorial, explaining its most important commands and the drone's most important sensor values. The examples are easy to understand for people with little programming experience. A full list of commands and a description of all sensor data is available in a detailed documentation. It took several months to create PS-Drone, so it would be nice to get some donations for further development (e.g. Parrot's Bebop) and as a appreciation. -
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The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
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ASALI
ASALI is an open-source code for chemical engineers
Do you work with chemical reactors? Are you curious about them? ASALI is the open-source code that you are looking for. Chemical reactor models, transport/thermodynamic properties of gases, equilibrium calculations. ASALI couples all these features with an user friendly graphical interface. Modeling chemical reactors has never been so easy. -
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AxisFlow
AxisFlow is a precision drawing assistant for FreeCAD
AxisFlow is a precision drawing assistant for FreeCAD, inspired by the workflow concept of MicroStation AccuDraw -
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BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
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Black Spot Leaf Area Calculator
Automated leaf area estimation from scanned leaf images
Black Spot is a free stand alone software and method to estimate leaf area from images of leaves captured using standard flatbed scanners. This easy to use software allows the user to batch process a large number of samples from multiple species with minimal user input. -
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This Python 3.1 tool manipulates the coordinate system of CNC GCODE for machining or engraving. It can Flip X, Y, or Z coordinates, mirror X, Y, or Z coordinates, flip or Mirror both XY coordinates, or insert Z motions into a GCODE file devoid of them.
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Copy Number Analysis for Targeted Resequencing (CONTRA) is a tool for copy number variation (CNV) detection for targeted resequencing data such as those from whole-exome capture data.
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CRP - Chemical Reaction Prediction
Predicting Organic Reactions using Neural Networks.
The intend is to solve the forward-reaction prediction problem, where the reactants are known and the interest is in generating the reaction products using Deep learning. This Graphical User Interface takes simplified molecular-input line-entry system (SMILES) as an input and generates the product SMILE & molecule. Beam search is used in Version 2, to generate top 5 predictions. Maximum input length for the model is 15 (excluding spaces). -
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ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. This code will no longer be actively maintained/updated here. A cloud-based resource for comparative analysis of epigenetic, sequence variation, and expression datasets is now available. Please visit the Cloudomics, project for cloud-based resources: https://sourceforge.net/projects/cloudomics-for-aws/ -
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DCT
Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK. -
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DEODAS designs & analyzes consensus-degenerate oligonucleotide probes for biological research. DEODAS automatically designs and screens, probes against databases of known genes & stores the information in a searchable database.
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LA HERRAMIENTA CASE DEVSON-UD ES UN APLICATIVO CREADO COMO PRODUCTO FINAL DEL TRABAJO DE GRADO "HERRAMIENTA CASE PARA LA GENERACIÓN DE CÓDIGO JSON" DE LA UNIVERSIDAD DISTRITAL FRANCISCO JOSÉ DE CALDAS. SUS OBJETIVOS PRINCIPALES SON:PERMITIR MODELAR ESTRUCTURAS DE DATOS, GENERAR CÓDIGO JSON Y ADAPTARSE A ALGUNOS MOTORES EXISTENTES DE BASES DE DATOS TANTO RELACIONALES COMO NOSQL.
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Dowser is a research tool for the web. It clusters results from search engines, associates words that appear in previous searches, and keeps a local cache of all the results you click on in a searchable database. It helps you keep track of what you find.
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GEPETTO - Gene Prioritization in Java
GEPETTO (GEne Prioritization ExTended TOol)
GEPETTO (GEne PrioriTization ExTended TOol) is an original open-source framework, distributed under the LGPL license, for gene selection and prioritization on a desktop computer that ensures confidentiality of personal data. It takes advantage of the data integration capabilities in the SM2PH-Central Framework(KD4v,MSV3d,BIRD,..), combined with in-house developed gene prioritization methods. It currently incorporates six prioritization modules, based on gene sequence, protein-protein interactions, gene expression, disease-causing probabilities, genomic context). GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. Contact: bmhoan@gmail.com or walter.vincent.fr@gmail.com
