conda-forge / packages

Package Name Access Summary Updated
hypothesis public A library for property based testing 2019-11-20
pytest-mock public Thin-wrapper around the mock package for easier use with py.test 2019-11-20
clangdev public Development headers and libraries for Clang 2019-11-20
clang_variant public Development headers and libraries for Clang 2019-11-20
iteration_utilities public Utilities based on Pythons iterators and generators. 2019-11-20
topika public A python remote communications library 2019-11-20
python-pdal public Point Data Abstraction Library (PDAL) Python Package 2019-11-20
flake8-comprehensions public A flake8 plugin that helps you write better list/set/dict comprehensions. 2019-11-20
asdf public Python tools to handle ASDF files 2019-11-20
racket public The Racket Programming Language 2019-11-20
python-casacore public Python bindings for casacore, a library used in radio astronomy 2019-11-20
rake_nltk public RAKE short for Rapid Automatic Keyword Extraction algorithm 2019-11-20
stingray public The Next Generation Spectral Timing Software 2019-11-20
murmurhash public Cython bindings for MurmurHash2 2019-11-20
lammps public LAMMPS stands for Large-scale Atomic/Molecular Massively Parallel Simulator. 2019-11-20
rdkit public RDKit is a collection of cheminformatics and machine-learning software written in C++ and Python. 2019-11-20
asammdf public ASAM MDF measurement data file parser 2019-11-20
casacore public Core libraries for the Common Astronomical Software Applications (CASA) 2019-11-20
dawg public DAFSA-based dictionary-like read-only objects for Python 2019-11-20
highfive public Header-only C++ HDF5 interface 2019-11-20
tikzmagic public Notebook magics for generating figures with TikZ 2019-11-20
python-language-server public An implementation of the Language Server Protocol for Python 2019-11-20
vaex-core public Core of vaex 2019-11-20
opencv public Computer vision and machine learning software library. 2019-11-20
xeus-python public Jupyter kernel for the Python programming language based on xeus 2019-11-20
nbsphinx public Jupyter Notebook Tools for Sphinx 2019-11-20
cw-eval public Evaluation metrics for Geospatial Machine Learning Challenges 2019-11-20
pyngl public PyNGL is a scientific data visualization package with an emphasis on high quality 2D visualizations. 2019-11-20
pywps public PyWPS (Python Web Processing Service) is an implementation of the Web processing Service standard from Open Geospatial Consortium. 2019-11-20
coursera-dl public Script for downloading videos and naming them. 2019-11-20
vitables public ViTables, a GUI for PyTables 2019-11-20
pymt_hydrotrend public Python package that wraps the hydrotrend BMI. 2019-11-20
paraview public ParaView is an open-source, multi-platform data analysis and visualization application based on Visualization Toolkit (VTK). 2019-11-20
pdal public Point Data Abstraction Library (PDAL) 2019-11-20
ufal.udpipe public UDPipe is a trainable pipeline for tokenization, tagging, lemmatization and dependency parsing of CoNLL-U files. 2019-11-20
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). 2019-11-20
pandas public High-performance, easy-to-use data structures and data analysis tools. 2019-11-20
fmpy public Simulate Functional Mockup Units (FMUs) in Python 2019-11-20
conda-smithy None The tool for managing conda-forge feedstocks 2019-11-20
pytest-lazy-fixture public It helps to use fixtures in pytest.mark.parametrize 2019-11-20
pytest public Simple and powerful testing with Python. 2019-11-20
pandas_ml public pandas, scikit-learn and xgboost integration 2019-11-20
r-missmda public Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA. 2019-11-20
lmfit public Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize.leastsq, and with many additional classes and methods for curve fitting http:/ 2019-11-20
pandas-datareader public Up to date remote data access for pandas, works for multiple versions of pandas 2019-11-20
pybroom public No Summary 2019-11-20
parameterized public Parameterized testing with any Python test framework 2019-11-20
xarray public N-D labeled arrays and datasets in Python. 2019-11-20
boost public Free peer-reviewed portable C++ source libraries. 2019-11-20
compas_fab public Robotic fabrication package for the COMPAS Framework 2019-11-20
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