Search Results for "python-kinterbasdb" - Page 35
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Showing 2449 open source projects for "python-kinterbasdb"
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The Apple Device Management and Security PlatformAchieve harmony across your Apple device fleet with Kandji's unmatched management and security capabilities.
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Pugsly
Command-line, PubChem PUG client, written in Python
Command-line, PubChem PUG client, written in Python; developed for Linux -
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Pyntrez
Command-line, Entrez, NCBI e-utilities client, written in Python
Command-line, Entrez, NCBI e-utilities client, written in Python; developed for Linux -
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Pugsly PubChem Client
Command-line, PubChem PUG client, written in Python
Client to the PubChem Tool (PCT), The Power User Gateway (PUG). Written in Python and developed for use with Linux. -
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Pyntrez NCBI Database Client
Command-line, Entrez, NCBI e-utilities client, written in Python
Comman-line client to Entrez, e-utilities, written in Python, developed for Linux -
Deliver trusted data with dbtData teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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Research Master
wxpython research organization tool with LaTeX flashcards
ResearchMaster is a tool that you can trust to help with organization, multitasking, and research. ResearchMaster provides a place to capture your fleeting thoughts and ideas, and it allows you to hit-the-ground-running on projects. -
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ThermV
Comprehensive thermal analysis software package
...The modules for peak deconvolution, peak profile analysis and determination of Ea and lnA will be provided first. Full GUI will be provided in beta stage. Due to computational limitations, the code is partly programmed in Python and partly in R. Python code will eventually be fully integrated into GUI. R code might remain standalone, although it will be integrated to a highest possible degree. Distributed under GPL -
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VirtualRoot
CPIB project aims to create a multiscale model of a plant root
The Centre for Plant Integrative Biology’s (University of Nottingham) core project aims to create a multiscale model of a plant root, based on the model higher plant Arabidopsis thaliana -
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Magnolya
De novo CNV detection by co-assembly
Magnolya enables copy number variation (CNV) detections without using a reference genome. Magnolya directly compares two next-generation sequencing datasets. -
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mitoMaker
mitoMaker - a mitochondria assembly and annotation script
mitoMaker is a pipeline script developed to simplify the assembly and automatic annotation of mitochondrial genomes, based on raw NGS reads and an optional target reference. mitoMaker calls well known assemblers and algorithms, such as SOAPdenovo, MIRA and blast+ and parses their results providing easily readable outputs, such as FASTA, GENBANK, SEQUIN, PNG and others. General pipeline: 1-iterative De Novo assembly, with different k-mer values, trying to assemble a build that matches... -
Build innovative business apps powered by process automationManage your business as a unified system of interacting processes. Use BPMN 2.0 for low-code process modeling by business people. Follow your strategic goals with process architecture that always corresponds to the structure of an actual business.
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diCal-IBD
diCal-IBD predicts identical by descent tracts using sequence data
diCal-IBD can be used for predicting identical by descent (IBD) tracts in sequence data. It provides means for calculating the accuracy of the prediction, if the true tracts are available, plotting of the predicted tracts, their TMRCA (time to the most recent common ancestor) and corresponding posterior probabilities, and identification of putative recent positive selection through investigation of average IBD sharing -
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...Please use the flowing pages for up-to-date information about cclib: Repository (source code, tracker) - https://github.com/cclib/cclib Online documentation - http://cclib.github.io/ cclib is an open source library, written in Python, for parsing and interpreting the results of computational chemistry packages. It currently parses output files from ADF, Firefly, GAMESS, GAMESS-UK, Gaussian, Jaguar and ORCA.
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N.Tesla
Numerical Transient Simulator for Power System
June 24, 2021. This project has been updated to STEPS project at github since March 21, 2018. Please go to https://github.com/changgang/steps for latest version. _______________________________ Great news. Version 0.6.6 is released with HVDC and Switched shunt model for powerflow. Please leave feedback to the developer. N.Tesla is an open source project to provide students and researchers of EE with a tool to implement new models for power system study and research. N.Tesla is... -
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wreport has moved to: https://github.com/ARPA-SIMC/wreport dballe has moved to: https://github.com/ARPA-SIMC/dballe bufr2netcdf has moved to: https://github.com/ARPA-SIMC/bufr2netcdf
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Gadgetron
Medical Image Reconstruction Framework
Medical Image Reconstruction Framework -
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Cospace Dance
Robot for cospace dance
A complete set of code to build your own robot for cospace dance using: raspberry pi, arduino, xbee and blender, -
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Raysect Python Raytracing Framework
A raytracing framework for optical/non-optical physics simulations
This project has migrated to github: https://github.com/raysect -
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SAMoCAD
Simple CAD program
...Main features: - create simple objects (line, arc, circle) - create complex objects (text, dimensions) - edit drawn objects - save drawing to SVG format - output drawing in PostScript format - export/import content DXF files (primitives LINE, CIRCLE, ARC, TEXT, DIMENSION) Program written in Python 2 and use the library Tkinter. Program requires no installation, but you need install Python 2.7 or later on your PC. Run file SAMoCAD.pyw to run the program. Its very old version of program!!! For more information see -
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Aelius Brazilian Portuguese POS-Tagger
Python, NLTK-based package for shallow parsing of Brazilian Portuguese
Aelius is an ongoing open source project aiming at developing a suite of Python, NLTK-based modules and interfaces to external freely available tools for shallow parsing of Brazilian Portuguese. It also includes language resources such as language models, sample texts, and gold standards. Presently, Aelius already offers facilities for POS-tagging and chunking corpora and outputting annotations in different formats, such as in XML in the TEI P5 encoding scheme. -
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Larch: Data Analysis for X-ray Spectra
Data Processing and Analysis for X-ray Spectroscopy and More
...Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py). -
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ReorJS
Distributed Computing with JavaScript
Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com. -
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Pathomx
Workflow-based data analysis built on IPython
Pathomx is a workflow-based tool for the analysis and visualisation of experimental data. Initially created as a tool for metabolomic data analysis is has been extended and can now be used for any scientific and non-scientific data analysis. -
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walterbot
walterbot: Virtual presence device www controlled with a raspberrypy
walterbot è un "virtual presence device" controllabile da remoto via interfaccia web. La distro Debian per architettura ARMhf6 è stata ottimizzata per "Raspberrypi B rev2". Il codice python scritto da Walter, controlla 2 motori DC tramite un TB6612FNG https://github.com/InformaticiTarantini/Pi-dro La distro è "out of the box" basta clonare l'immagine su una SD card (minimo 2Gb) proprio come si fa con raspbian. Tramite accesso ssh o direttamente dal raspberrypi, eseguire il comando "sudo ceni" per configurare la rete wireless (Si consiglia di creare una swap ed estendere il filesistem con raspi-config, ma non è indispensabile). ... -
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globalsoilmap.net/GSIF AG toolbox
facilitating predictions of parameters using statistical models
streamline the DSM process in ArcGIS/Numpy/GDAL/Python using Sampling, Statistical elaboration, Prediction to allow the application of extended statistical models generated by the CUBIST (TM) or JMP (TM) software to a set of auxiliary input parameters, thereby bypassing the need to i) manually calculate the equations using Raster calculator; ii) use a grid-to-point conversion process prior to applying the prediction model in the statistical software itself and then a point-to-grid conversion process.
