conda-forge / packages

Package Name Access Summary Updated
awscli public Universal Command Line Environment for AWS. 2019-10-17
colcon-core public colcon is a command line tool to improve the workflow of building, testing and using multiple software packages. 2019-10-17
colcon-powershell public An extension for colcon-core to provide PowerShell scripts. 2019-10-17
boto3 public Amazon Web Services SDK for Python 2019-10-17
pymatgen public Python Materials Genomics is an analysis code for materials science. 2019-10-16
bash public Bourne Again Shell 2019-10-16
botocore public Low-level, data-driven core of boto 3. 2019-10-16
azure-cosmos public Microsoft Azure Cosmos Python SDK 2019-10-16
libcomcat public Python wrapper around ANSS ComCat API (plus tools). 2019-10-16
scs public Python interface for SCS, which solves convex cone problems 2019-10-16
willow public A unified interface to Python image libraries 2019-10-16
aio-pika public aio-pika is a pure python AMQP client library 2019-10-16
libdrs public Data Retrieval and Storage DRS software Fortran library 2019-10-16
aiormq public aiormq is a pure python AMQP client library 2019-10-16
elementpath public XPath 1.0/2.0 parsers and selectors for ElementTree 2019-10-16
paintera-conversion-helper public Python command line launcher for Paintera Conversion Helper 2019-10-16
lcov public LCOV is an extension of GCOV, a GNU tool which provides information about what parts of a program are actually executed (i.e. "covered") while running a particular test case. 2019-10-16
hypothesis public A library for property based testing 2019-10-16
great-expectations public Always know what to expect from your data. 2019-10-16
songbird public Vanilla regression methods for microbiome differential abundance analysis 2019-10-16
conan public Conan C/C++ package manager 2019-10-16
prefect public The Prefect Core automation engine 2019-10-16
_libarchive_static_for_cph public a static build of libarchive containing only conda-related parts 2019-10-16
tiledb public TileDB sparse and dense multi-dimensional array data management 2019-10-16
kubernetes_asyncio public Kubernetes asynchronous python client 2019-10-16
rpy2 public Python interface to the R language (embedded R) 2019-10-16
osqp public Python interface for OSQP, the Operator Splitting QP Solver 2019-10-16
barril public Python package to manage units for physical quantities 2019-10-16
hyperfine public A command-line benchmarking tool 2019-10-16
spyder-kernels public Jupyter kernels for Spyder's console 2019-10-16
dask-xgboost public Launch, train, and test with XGBoost from Dask 2019-10-16
urbansim_defaults public Starter models and functionality to use with UrbanSim 2019-10-16
pyobjc-framework-quartz public Wrappers for the Quartz frameworks on Mac OS X 2019-10-16
pyobjc-framework-cocoa public Wrappers for the Cocoa frameworks on Mac OS X 2019-10-16
rb-wisper public A micro library providing objects with Publish-Subscribe capabilities. Both synchronous (in-process) and asynchronous (out-of-process) subscriptions are supported. 2019-10-16
eigenpy public Bindings between Numpy and Eigen using Boost.Python 2019-10-16
nvcc_linux-64 public A meta-package to enable the right nvcc. 2019-10-16
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. 2019-10-16
pyarrow public Python libraries for Apache Arrow 2019-10-16
cmor public “Climate Model Output Rewriter” is a C library, with Fortran 90 and Python bindings. CMOR is used to produce CF-compliant[3] netCDF[4] files. The structure of the files created by CMOR and the metadata they contain fulfill the requirements of many of the climate community’s standard model experiments (which are referred to here as “MIPs”[5] and include, for example, AMIP, PMIP, APE, and IPCC [DN1] scenario runs). 2019-10-16
mpas_tools public Mesh tools for Model for Prediction Across Scales (MPAS) 2019-10-16
log4cxx public A logging framework for C++ patterned after Apache log4j. 2019-10-16
cdo public CLI tools to manipulate and analyse Climate and NWP model Data 2019-10-16
huey public A little task queue for python 2019-10-16
scorec public The SCOREC Core is a set of C/C++ libraries for unstructured mesh simulations on supercomputers. 2019-10-16
fsl-pyfeeds public FSL testing framework 2019-10-16
pytables public Brings together Python, HDF5 and NumPy to easily handle large amounts of data. 2019-10-16
pyferret public An Analysis Tool for Gridded and Non-Gridded Data. 2019-10-16
koalas public pandas API on Apache Spark 2019-10-16
python-ecmwf_grib public The ECMWF API for encoding and decoding WMO FM-92 GRIB edition 1 and edition 2 messages. 2019-10-16
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