conda-forge / packages

Package Name Access Summary Updated
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
vaex-arrow public Arrow support for vaex 2019-10-15
pybtex-docutils public A docutils backend for pybtex. 2019-10-15
jupyterlab public An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. 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
python-xapian public Python bindings for the Xapian Search Engine Library. 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
xarray public N-D labeled arrays and datasets in Python. 2019-10-14
xapian-core public Xapian is an Open Source Search Engine Library, written in C++. 2019-10-14
pmda public Parallel Molecular Dynamics Analysis tools 2019-10-14
sphinx-click public A Sphinx plugin to automatically document click-based applications 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
python-language-server public An implementation of the Language Server Protocol for Python 2019-10-14
datalad public data distribution geared toward scientific datasets 2019-10-14
conda-build public tools for building conda packages 2019-10-14
pytest-lazy-fixture public It helps to use fixtures in pytest.mark.parametrize 2019-10-14
r-rgdal public Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.6.3) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package. Windows and Mac Intel OS X binaries (including GDAL, PROJ.4 and Expat) are provided on CRAN. 2019-10-14
ipyleaflet public A Jupyter widget for dynamic Leaflet maps 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
mysql-connector-python public Python driver for communicating with MySQL servers 2019-10-14
parcels public Probably A Really Computationally Efficient Lagrangian Simulator 2019-10-14
spyder public The Scientific Python Development Environment 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
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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