Search Results for "written in python"
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Showing 10 open source projects for "written in python"
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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Molecular Dynamics Studio
Molecular Dynamics Cell Construction
This is a collection of software modifications created to integrate NanoEngineer-1, PACKMOL and MSI2LMP for the purpose of easily creating molecular dynamics cells. NanoEngineer-1 is a molecular CAD software written by Nanorex and provides the user an easy way to create molecules, while the software modifications allow the user to type atoms using multiple force fields. PACKMOL can generate a random collection of molecules using the molecule templates from NanoEngineer-1 thus providing the... -
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LOOS
Analyze molecular simulation data
LOOS is a light-weight object oriented software library for creating new tools for analyzing molecular simulation data, written in C++. The main design goal is to allow casual programmers to easily implement new analysis methods. THIS PAGE IS NO LONGER UPDATED. Please see https://github.com/GrossfieldLab/loos for all recent developments -
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2DFLT
Program for Normalization, Averaging and Editing of In Situ Data Sets
2DFLT it is first out of two programs which allows implementation of Phase Sensitive Detection (PSD) and/or Modulated Enhanced Diffraction (MED) techniques on the in situ data. This software allows collecting individual data files from in situ experiment into one dataset. After that this data set can be visualized, edited, normalized and averaged. Resulted data can be saved as one flat file (FLT-format) which can be used for PSD/MED calculations via 2DMED software... -
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RDKit
Open-Source Cheminformatics and Machine Learning
A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches. -
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HYBRYD
Library written in C with Python API for IPv6 networking
This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as... -
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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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xyz2eps
python command line utility to print xyz-geometry to eps file format.
xyz2eps.py is an command line utility written in Python programing language which prints the geometry from xyz-file directly to the eps-file format. Originally it was designed to study the problems related to grain boundaries in graphene. -
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PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.
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FAUNUS is an object oriented class library for molecular simulation, written in C++. It contains routines and utility programs for, Metropolis Monte Carlo sampling (NVT, NPT, NmuT ensembles), Macromolecules, Proton Titration, Widom Analysis etc.
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A laboratory information management system (LIMS) geared towards academic research groups in the life sciences. Written in Python and using the Django framework, you run this software on your own server.
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