Open Source Python Chemistry Software - Page 2
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Python Chemistry Software
View 109 business solutionsBrowse free open source Python Chemistry Software and projects below. Use the toggles on the left to filter open source Python Chemistry Software by OS, license, language, programming language, and project status.
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pyitc is designed for processing and analysing isothermal titration calorimetry experimental data (Microcal instruments).
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This software can be used to calculate thermochemical and kinetic quantities like, enthalpy, entropy, heat capacity and transition state theory rate constants from spectroscopic/quantum data.
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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 THIS PAGE IS NO LONGER UPDATED.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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TheoDORE
Theoretical Density, Orbital Relaxation and Exciton analysis
The TheoDORE (Theoretical Density, Orbital Relaxation and Exciton analysis) package is a general purpose program suite for the analysis of excited states obtained from quantum chemical excited state calculations. Wavefunction analysis is based on state and transition density matrices, which provides a unified formalism applicable independent of the wavefunction model. TheoDORE is interfaced to a number of quantum chemical programs (Q-Chem, Columbus, Turbomole, ...) and can be used for a wide range of excited state methods (MR-CI, ADC, CC, TDDFT). It is written in a modular fashion to allow for an easy extension of these capabilities. Code development moved to github: https://github.com/felixplasser/theodore-qc -
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Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
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ED Software project contains several programs used (mostly) for processing gas-phase electron diffraction (GED) experimental data.
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FABS
Fluorescence and absorption spectroscopy made easy
FABS is a program designed to run a fluorescence/absorption spectrometer on Windows. The program analyzes spectra and provides graphs and data files. Users may choose to input video files from cell phones or other cameras, still images, or even live streams of video from webcams. FABS can perform any necessary calibration and image preprocessing. Experienced users have a number of more advanced options such as background subtraction, adjustments for nonlinearities in detector response, and graph smoothing. FABS was designed with students in mind, as a way to help high schoolers and undergraduates learn about spectroscopy without paying for expensive equipment and software. Accompanying this software is a hardware design, which can be used as a bare-bones spectrometer that will provide quantitative absorption and fluorescence emission spectra at an extremely low cost. It uses only materials that many people can find around their home. -
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Viewmol is a graphical front end for computational chemistry programs. It is able to graphically aid in the generation of molecular structures for computations and to visualize their results.
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ccwatcher
A computational chemistry monitoring, parsing and plotting application
ccwatcher monitors the progress of computational chemistry calculations during runtime. It has both a GUI and a "Command Line Interface" to which it parses important output and plots SCF energies. -
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pyMDMix
Molecular dynamics with aqueous-organic solvent mixtures
This python package aims to help people set up and analyze molecular dynamics simulations in aqueous-organic solvent mixtures. See D. Alvarez-Garcia et al. Journal of Medicinal Chemistry, 2014. -
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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 (http://sourceforge.net/projects/twodmed/?source=directory). 2DFLT specifically was written to target in situ X-ray Powder Diffraction data from synchrotron measurements. Hence it can read CHI, XYE (TOPAS), FXYE(GSAS/ GSASII) and XY- files formats. However it can read general in situ data written into individual TXT or XY – files. -
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2DMED
Phase Sensitive Detection and Modulated Enhanced Diffraction Software
2DMED it is the second 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 takes normalized and averaged in situ data in flat file format (FLT) and performs PSD transformation which has been described in Urakawa, A.et al. Chem. Eng. Science 2008, 63, 4902. User can choose demodulation index k and perform several demodulation calculations. This is extremely important since demodulation calculations at k = 2 on in situ powder diffraction data represent implementation of MED method which been described in Chernyshov, D. et al. Acta Cryst. 2011, A67, 327. Demodulated data can be then viewed on 2D and/or 1D plot and analyses with different tools including In Phase Plot, Maximum Amplitude Plot and Positive Pattern Plot. Demodulated data also can be saved in ASCII format for further analysis. -
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ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.
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This project is A Mitochondrial OxydoReduction Simulation System. It consists of two linked projects: a program for displaying and analysing large biomolecular systems (Floral) and a multi-agent simulator for biomolecular oxydoreduction systems (AMORSS).
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APBS
Biomolecular electrostatics software
This software has moved to http://www.poissonboltzmann.org/. -
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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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The Acids and Bases chapters' (14 and 15) calculations are arguably the hardest calculations in all of AP Chemistry. With some problems taking as long as ten minutes to solve, the can be hard to wrap the mind around. However, with the Acids and Bases Program, a quick answer is never more than a click away.
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Alchemy Linux
A linux distribution for chemists
Alchemy Linux is a Linux distribution (based on Fedora) for chemists (and mathematicians and physicists). This remix comes with a whole set of packages to help with experiments, simulations and publications. (This project is not maintained or endorsed by Red Hat or the Fedora project). -
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Argo
ARGO is a program for analysis of electronic structure calculations
The `Argo' program draws its name from ancient Greek, referencing the vessel of the same name commissioned for Jason's renowned Argonauts expedition. This choice symbolizes the pursuit of making the best use of quantum chemical calculation results. ARGO facilitates the analysis of results obtained from quantum chemistry codes, specifically Gaussian. This task is achieved through a set of Python scripts. Our code is freely available throughout the academic community with the ambition to be used, to be supplemented by others, and become an indispensable tool for optimum utilization of quantum chemical calculation results. -
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3D modeling of chemical elements atoms
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We here present a novel computer algorithm, called AutoClickChem, capable of performing many click-chemistry reactions in silico. In silico modeling of click-chemistry products may prove useful in rational drug design and drug optimization.
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BETR-Research (BETRS) is a modelling framework to create spatially resolved multimedia models for the environmental fate- and transport of chemical contaminants. It is intended to serve the research community and can be used as a teaching tool.
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Bika Open Source LIMS
Web based Open Source laboratory information management system (LIMS)
Modern Open Source LIMS (Laboratory Information Management System) · Professionally supported by experts The Bika code was migrated to https://github.com/bikalims Getting Started: https://github.com/bikalims/bika.lims/blob/main/README.md Modern Bika releases are built on the Senaite LIMS core, the LIMS that originated as a Bika fork. It is therefore as new and modern as Senaite, frequently upgraded and has many very useful add-ons. Bika expands on Senaite's lean design by adding modules for bulk sample importing, two tier Sample Point Locations, instrument result importers extra COA templates etc. while remaining within ISO 17025 guidelines Other differentiation is per lab discipline, e.g. branches for environmental management, health care, geochemistry snd cannabis. User Manual: www.bikalims.org/new-manual Videos: www.bikalims.org/resources/bika-lims-videos Screenshots: www.bikalims.org/resources/screenshots Supported by Bika Lab Systems, www.bikalabs.com -
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BrennerMD is a public domain Fortran molecular dynamics program by Donald Brenner and other people. This project is to maintain the original source code and to build a Python interface on top of it.
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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).
