conda-forge / packages

Package Name Access Summary Updated
eccodes public ECMWF ecCodes Copyright 2005-2018 ECMWF. 2019-10-15
r-ncdf4 public Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets. Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files. This package replaces the former ncdf package, which only worked with netcdf version 3 files. For various reasons the names of the functions have had to be changed from the names in the ncdf package. The old ncdf package is still available at the URL given below, if you need to have backward compatibility. It should be possible to have both the ncdf and ncdf4 packages installed simultaneously without a problem. However, the ncdf package does not provide an interface for netcdf version 4 files. 2019-10-15
opencv public Computer vision and machine learning software library. 2019-10-15
immutables public Immutable Collections 2019-10-15
netcdf-fortran public Unidata NetCDF Fortran Library 2019-10-15
yamllint public A linter for YAML files. 2019-10-15
netcdf4 public Provides an object-oriented python interface to the netCDF version 4 library 2019-10-15
attrs public attrs is the Python package that will bring back the joy of writing classes by relieving you from the drudgery of implementing object protocols (aka dunder methods). 2019-10-15
cffi public Foreign Function Interface for Python calling C code. 2019-10-15
av public Pythonic bindings for FFmpeg. 2019-10-15
lintel public A Python module to decode video frames directly, using the FFmpeg C API. 2019-10-15
mppp public A modern C++ library for multiprecision arithmetic 2019-10-15
arrow-cpp public C++ libraries for Apache Arrow 2019-10-15
blas public Metapackage to select the BLAS variant. Use conda's pinning mechanism in your environment to control which variant you want. 2019-10-15
nd2reader public Pure Python library for reading NIS Elements ND2 images and metadata 2019-10-15
vaex public Lazy Out-of-core dataframes and visualization for large (~billion rows/objects) tabular datasets 2019-10-15
openblas public An optimized BLAS library based on GotoBLAS2 1.13 BSD version 2019-10-15
vaex-core public Core of vaex 2019-10-15
slackclient public Python client for Slack.com 2019-10-15
librsvg public librsvg is a library to render SVG files using cairo. 2019-10-15
libarchive public Multi-format archive and compression library 2019-10-15
pybind11 public Seamless operability between C++11 and Python 2019-10-15
diffoscope public in-depth comparison of files, archives, and directories 2019-10-15
trackpy public Python particle tracking toolkit 2019-10-14
r-gdtools public Useful tools for writing vector graphics devices. 2019-10-14
flake8-print public Flake8 plugin to check for print statements in python files. 2019-10-14
xapian-core public Xapian is an Open Source Search Engine Library, written in C++. 2019-10-14
awscli public Universal Command Line Environment for AWS. 2019-10-14
boto3 public Amazon Web Services SDK for Python 2019-10-14
descartes public Use geometric objects as matplotlib paths and patches 2019-10-14
botocore public Low-level, data-driven core of boto 3. 2019-10-14
django public A high-level Python Web framework that encourages rapid development and clean, pragmatic design. 2019-10-14
tiledb public TileDB sparse and dense multi-dimensional array data management 2019-10-14
pcre public Regular expression pattern matching using the same syntax and semantics as Perl 5. 2019-10-14
r-rnetcdf public An interface to the NetCDF file format designed by Unidata for efficient storage of array-oriented scientific data and descriptions. The R interface is closely based on the C API of the NetCDF library, and it includes calendar conversions from the Unidata UDUNITS library. The current implementation supports all operations on NetCDF datasets in classic and 64-bit offset file formats, and NetCDF4-classic format is supported for reading and modification of existing files. 2019-10-14
datalad public data distribution geared toward scientific datasets 2019-10-14
pytest-lazy-fixture public It helps to use fixtures in pytest.mark.parametrize 2019-10-14
faker public Faker is a Python package that generates fake data for you 2019-10-14
tabulator public Consistent interface for stream reading and writing tabular data (csv/xls/json/etc) 2019-10-14
paste public Tools for using a Web Server Gateway Interface stack 2019-10-14
scikit-image public Image processing routines for SciPy. 2019-10-14
zstd public Zstandard - Fast real-time compression algorithm 2019-10-14
redis-py public Python client for Redis key-value store 2019-10-14
geckodriver public geckodriver is a proxy for using W3C WebDriver-compatible clients to interact with Gecko-based browsers. 2019-10-14
gxx_linux-64 public GNU C++ Compiler (activation scripts) 2019-10-14
gcc_linux-64 public GNU C Compiler (activation scripts) 2019-10-14
binutils_linux-64 public The GNU Binutils are a collection of binary tools (activation scripts) 2019-10-14
spectral public A Python module for hyperspectral image processing. 2019-10-13
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. 2019-10-13
r-clues public We developed the clues R package to provide functions for automatically estimating the number of clusters and getting the final cluster partition without any input parameter except the stopping rule for convergence. The package also provides functions to evaluate and compare the performances of partitions of a data set both numerically and graphically. 2019-10-13
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