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Found 86 dataset(s) matching "python packaging".
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"module-utilities" is a python package of utilities to simplify working with python packages.The main features of `module-utilities` are as follows: "cached" module: A module to cache class...
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The "cookiecutter-nist-python" template includes all NIST specific branding for creating a pythonpackage. Features include: Testing with pytest. Isolated testing, documentation building, etc,...
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A python package to analyze ``lnPi`` data from Transition Matrix Monte Carlo(TMMC) simulation. The main output from TMMC simulations, ``lnPi``, provides a means to calculate a host of...
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The Environmental Source Apportionment Toolkit (ESAT) is an open-source software package that provides API and CLI functionality to create source apportionment workflows specifically targeting...
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`analphipy` is a python package to calculate metrics for classical models for pair potentials. It provides a simple and extendable api for pair potentials creation. Several routines to calculate...
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cmomy is a python package to calculate central moments and co-moments in a numerical stable and direct way. Behind the scenes, cmomy makes use of Numba to rapidly calculate moments. cmomy provides...
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The parsers featured in this module are constructed to parse LAMMPS output files, (i.e., dump files), containing data for given potential energy values (an approximation of the Hamiltonian),...
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This code repository contains the "back-end" of the Nexus Microscopy Facility Laboratory Information Management System (NexusLIMS), developed by the NIST Office of Data and Informatics. Its...
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These datasets are from tidal resource characterization measurements collected on the Terrasond High Energy Oceanographic Mooring (THEOM) from 1 July 2021 to 30 August 2021 (60 days) in Cook...
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This is the source code package for the labbench python module, version 0.20, which is its first public release. The purpose of labbench is to streamline and organize complicated laboratory...
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ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models
This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using...
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This submission contains raw and processed datasets of water velocity and turbulence measurements from 3-day deployments of Deepwater Buoyancy StableMoor buoys carrying acoustic Doppler...
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This software repository contains a python package Aegis (Active Evaluator Germane Interactive Selector) package that allows us to evaluate machine learning systems's performance (according to a...
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This is a python package to perform thermodynamic extrapolation andinterpolation of observables calculated from molecular simulations. This allowsfor more efficient use of simulation data for...
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The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial...
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These tabular data sets represent the average daily soil moisture water content (kg/m^2) for four different soil layers processed from North American Land Data Assimilation System (NLDAS-2) data...
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This dataset contains 2015 national-level water withdrawal by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was generated with FLOWSAv1.0.0 by calling the...
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This dataset contains 2017 national level criteria and hazardous air pollutant emissions by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in...
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This dataset contains 2012 national level land occupation totals by North American Industry Classification System (NAICS) 2012 6-digit codes. This dataset was created in FLOWSA, a publicly...
