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Package Name Access Summary Updated
r-xtractomatic public Contains three functions that access environmental data from ERD's ERDDAP service <http://coastwatch.pfeg.noaa.gov/erddap>. The xtracto() function extracts data along a trajectory for a given "radius" around the point. The xtracto_3D() function extracts data in a box. The xtractogon() function extracts data in a polygon. There are also two helper functions to obtain information about available data, and plotting functions to plot the results. 2025-04-22
dask-ndfilters public A library for using N-D filters with Dask Arrays 2025-04-22
marshmallow-jsonapi public JSON API 1.0 formatting with marshmallow 2025-04-22
scripttest public Helper to test command-line scripts. 2025-04-22
qd public A C++/Fortran-90 double-double and quad-double package 2025-04-22
r-seacarb public Calculates parameters of the seawater carbonate system and assists the design of ocean acidification perturbation experiments. 2025-04-22
r-maptools public Set of tools for manipulating geographic data. It includes binary access to 'GSHHG' shoreline files. The package also provides interface wrappers for exchanging spatial objects with packages such as 'PBSmapping', 'spatstat', 'maps', 'RArcInfo', and others. 2025-04-22
python-nvd3 public Python NVD3 - Chart Library for d3.js 2025-04-22
trollius public Port of the Tulip project (asyncio module, PEP 3156) on Python 2 2025-04-22
lesscpy public Python LESS compiler 2025-04-22
jupyterlab_launcher public A Launcher for JupyterLab based applications. 2025-04-22
records public SQL for Humans 2025-04-22
r-stanheaders public The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models. 2025-04-22
consul public Service discovery and configuration made easy. 2025-04-22
jupyter-themer public Custom CSS themer for jupyter notebooks 2025-04-22
xorg-libxp public The X.org print library. 2025-04-22
xorg-xproxymanagementprotocol public Print extension headers 2025-04-22
xorg-xf86dgaproto public Print extension headers 2025-04-22
xorg-xineramaproto public Print extension headers 2025-04-22
xorg-xf86vidmodeproto public Print extension headers 2025-04-22
xorg-xf86rushproto public Print extension headers 2025-04-22
xorg-xf86miscproto public Print extension headers 2025-04-22
xorg-xf86driproto public Print extension headers 2025-04-22
xorg-xf86bigfontproto public Print extension headers 2025-04-22
xorg-xcmiscproto public Print extension headers 2025-04-22

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