conda-forge / packages

Package Name Access Summary Updated
dash-html-components public Dash UI HTML component suite 2019-06-20
libcomcat public Python wrapper around ANSS ComCat API (plus tools). 2019-06-20
prison public Python rison encoder/decoder 2019-06-20
dash-table public A First-Class Interactive DataTable for Dash 2019-06-20
dash-renderer public Front-end component renderer for dash 2019-06-20
atk public Accessibility Toolkit. 2019-06-20
botocore public Low-level, data-driven core of boto 3. 2019-06-20
spython public Command line python tool for working with singularity. 2019-06-20
coq-jupyter public Jupyter kernel for Coq 2019-06-20
r-ellipsis public In S3 generics, it's useful to take ... so that methods can have additional argument. But this flexibility comes at a cost: misspelled arguments will be silently ignored. The ellipsis packages is an experiment that allows a generic to warn if any arguments passed in ... are not used. 2019-06-20
conda-build public tools for building conda packages 2019-06-20
r-skimr public A simple to use summary function that can be used with pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README. 2019-06-20
conan public Conan C/C++ package manager 2019-06-20
coq public Coq is a formal proof management system 2019-06-20
pypd public A python client for PagerDuty API 2019-06-20
biorbd public Biomechanical add-ons to the RigidBody Dynamics Library 2019-06-20
r-pspline public Smoothing splines with penalties on order m derivatives. 2019-06-20
r-rspectra public R interface to the 'Spectra' library <> for large-scale eigenvalue and SVD problems. It is typically used to compute a few eigenvalues/vectors of an n by n matrix, e.g., the k largest eigenvalues, which is usually more efficient than eigen() if k << n. This package provides the 'eigs()' function that does the similar job as in 'Matlab', 'Octave', 'Python SciPy' and 'Julia'. It also provides the 'svds()' function to calculate the largest k singular values and corresponding singular vectors of a real matrix. The matrix to be computed on can be dense, sparse, or in the form of an operator defined by the user. 2019-06-20
r-rdpack public Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files. 2019-06-20
r-rcppparallel public High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values. 2019-06-20
r-vegan public Ordination methods, diversity analysis and other functions for community and vegetation ecologists. 2019-06-20
pycrc public Python libraries for CRC calculations 2019-06-20
r-units public Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion. Documentation about 'units' is provided in the paper by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a vignette; see 'citation("units")' for details. 2019-06-20
r-tsp public Basic infrastructure and some algorithms for the traveling salesperson problem (also traveling salesman problem; TSP). The package provides some simple algorithms and an interface to the Concorde TSP solver and its implementation of the Chained-Lin-Kernighan heuristic. The code for Concorde itself is not included in the package and has to be obtained separately. 2019-06-20
r-seriation public Infrastructure for ordering objects with an implementation of several seriation/sequencing/ordination techniques to reorder matrices, dissimilarity matrices, and dendrograms. Also provides (optimally) reordered heatmaps, color images and clustering visualizations like dissimilarity plots, and visual assessment of cluster tendency plots (VAT and iVAT). 2019-06-20
r-geosphere public Spherical trigonometry for geographic applications. That is, compute distances and related measures for angular (longitude/latitude) locations. 2019-06-20
docker-py public Python client for Docker. 2019-06-20
r-xts public Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability. 2019-06-20
awscli public Universal Command Line Environment for AWS. 2019-06-20
r-rzmq public Interface to the 'ZeroMQ' lightweight messaging kernel (see <> for more information). 2019-06-20
r-rms public Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression. 2019-06-20
r-startupmsg public Provides utilities to create or suppress start-up messages. 2019-06-20
r-sfsmisc public Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990's. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole(). 2019-06-20
conda-forge-pinning public The baseline versions of software for the conda-forge ecosystem 2019-06-20
kalasiris public A Python library to wrap functions and functionality for the Integrated Software for Imagers and Spectrometers (ISIS). 2019-06-20
r-quantmod public Specify, build, trade, and analyse quantitative financial trading strategies. 2019-06-20
r-mlogit public Maximum Likelihood estimation of random utility discrete choice models, as described in Kenneth Train (2012) Discrete Choice Methods with Simulations <doi:10.1017/CBO9780511805271>. 2019-06-20
r-rosm public Download and plot Open Street Map <>, Bing Maps <> and other tiled map sources. Use to create basemaps quickly and add hillshade to vector-based maps. 2019-06-20
dask-jobqueue public Easy deployment of Dask Distributed on job queuing systems like PBS, Slurm, LSF and SGE. 2019-06-20
urbansim_defaults public Starter models and functionality to use with UrbanSim 2019-06-20
r-raster public Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported. 2019-06-20
voila-gridstack public Gridstack template for voila 2019-06-20
flask-rest-api public DB agnostic framework to build auto-documented REST APIs with Flask and marshmallow 2019-06-20
r-rann public Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric. 2019-06-20
r-proxy public Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones. 2019-06-20
r-polspline public Routines for the polynomial spline fitting routines hazard regression, hazard estimation with flexible tails, logspline, lspec, polyclass, and polymars, by C. Kooperberg and co-authors. 2019-06-20
sage public Sage - Open Source Mathematical Software 2019-06-20
r-geometry public Makes the 'Qhull' library <> available in R, in a similar manner as in Octave and MATLAB. Qhull computes convex hulls, Delaunay triangulations, halfspace intersections about a point, Voronoi diagrams, furthest-site Delaunay triangulations, and furthest-site Voronoi diagrams. It runs in 2D, 3D, 4D, and higher dimensions. It implements the Quickhull algorithm for computing the convex hull. Qhull does not support constrained Delaunay triangulations, or mesh generation of non-convex objects, but the package does include some R functions that allow for this. 2019-06-20
r-coin public Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems. 2019-06-20
r-castor public Efficient phylogenetic analyses on massive phylogenies comprising up to millions of tips. Functions include pruning, rerooting, calculation of most-recent common ancestors, calculating distances from the tree root and calculating pairwise distances. Calculation of phylogenetic signal and mean trait depth (trait conservatism), ancestral state reconstruction and hidden character prediction of discrete characters, simulating and fitting models of trait evolution, fitting and simulating diversification models, dating trees, comparing trees, and reading/writing trees in Newick format. Citation: Louca, Stilianos and Doebeli, Michael (2017) <doi:10.1093/bioinformatics/btx701>. 2019-06-20
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