conda-forge / packages

Package Name Access Summary Updated
george public Fast and flexible Gaussian Process regression in Python 2019-11-12
mdtraj public A modern, open library for the analysis of molecular dynamics trajectories 2019-11-12
statsmodels public Statistical computations and models for use with SciPy 2019-11-12
resonance public Learning mechanical vibrations through computation. 2019-11-12
gpy public The Gaussian Process Toolbox 2019-11-12
plio public input/output library for planetary science data 2019-11-12
parcels public Probably A Really Computationally Efficient Lagrangian Simulator 2019-11-12
pot public Python Optimal Transport library 2019-11-12
firelight public A visualization library for PyTorch tensors 2019-11-12
pyabel public A Python package for forward and inverse Abel transforms 2019-11-12
pydl public Python implementations of some functions from astronomical IDL libraries. 2019-11-12
cyipopt public A Cython wrapper to the IPOPT optimization package 2019-11-12
petsc4py public Python bindings for PETSc 2019-11-12
halotools public Package for studying large scale structure, cosmology, and galaxy evolution using N-body simulations and halo models. 2019-11-12
starry public Analytic occultation light curves for astronomy 2019-11-12
itkwidgets public Interactive Jupyter widgets to visualize images in 2D and 3D 2019-11-12
implicit public Fast Python Collaborative Filtering for Implicit Datasets. 2019-11-12
gridded public A library designed to represent grid-aligned data and provide a variety of processing functions, netCDF file reading/writing, and CF, UGrid, and SGrid standard compatibility. 2019-11-12
imreg_dft public Image registration utility using algorithms based on discrete Fourier transform (DFT, FFT) 2019-11-12
somoclu public Massively parallel self-organizing maps: accelerate training on multicore CPUs and GPUs 2019-11-12
galpy public Galactic Dynamics in python 2019-11-12
finitediff public Finite difference weights for any derivative order on arbitrarily spaced grids 2019-11-12
pycamb public Code for Anisotropies in the Microwave Background 2019-11-12
camb public Code for Anisotropies in the Microwave Background 2019-11-12
assimulo public A package for solving ordinary differential equations and differential algebraic equations. 2019-11-12
cartopy public A library providing cartographic tools for python. 2019-11-12
courtana public Tools for courtship analysis 2019-11-12
goftests public Goodness of fit tests for general datatypes 2019-11-12
adaptive public Adaptive parallel sampling of mathematical functions 2019-11-12
axelrod public Research tool for Iterated Prisoners Dilemma in Python 2019-11-12
aospy public Automated gridded climate data analysis and management 2019-11-12
sep public Astronomical source extraction and photometry library 2019-11-12
django-debug-toolbar public A configurable set of panels that display various debug information about the current request/response 2019-11-12
pyfai public Python implementation of fast azimuthal integration 2019-11-12
openmpi public An open source Message Passing Interface implementation. 2019-11-12
biom-format public Biological Observation Matrix (BIOM) format 2019-11-12
r-fields public For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857 and the National Center for Atmospheric Research. See the Fields URL for a vignette on using this package and some background on spatial statistics. 2019-11-12
r-hexbin public Binning and plotting functions for hexagonal bins. 2019-11-12
openpmd-api public C++ & Python API for writing & reading (.h5, .bp, .json, ...), serial & MPI parallel openPMD files. 2019-11-12
python-spams public An optimization toolbox for solving various sparse estimation problems. 2019-11-12
pyglet public Cross-platform windowing and multimedia library 2019-11-12
dask-mpi public Deploy Dask using MPI4Py 2019-11-12
scipy public Scientific Library for Python 2019-11-12
s3contents public A S3-backed ContentsManager implementation for Jupyter 2019-11-12
sqlalchemy public Database Abstraction Library. 2019-11-12
poppler public The Poppler PDF manipulation library. 2019-11-12
qgis public A free and open source Geographic Information System (GIS). 2019-11-12
ispyb public Python package to access ISPyB database 2019-11-11
pytest-replay public Saves shell scripts that allow re-execute previous pytest runs to reproduce crashes or flaky tests 2019-11-11
hypothesis public A library for property based testing 2019-11-11
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