conda-forge / packages

Package Name Access Summary Updated
bgen public A BGEN file format reader 2019-10-22
hypothesis public A library for property based testing 2019-10-22
libspatialindex public Extensible framework for robust spatial indexing 2019-10-22
pooch public A friend to fetch your Python library's sample data files 2019-10-22
r-pingr public Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port. 2019-10-22
azure-mgmt-storage public Microsoft Azure Storage Resource Management Client Library for Python 2019-10-22
datapackage public Utilities to work with Data Packages as defined on 2019-10-22
scikit-image public Image processing routines for SciPy. 2019-10-22
jupyterlab public An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. 2019-10-22
papermill public Papermill parameterizes, executes, and analyzes Jupyter Notebooks. 2019-10-22
doxygen public Generate documentation from source code 2019-10-21
compas public The COMPAS framework 2019-10-21
lightkurve public A friendly package for Kepler & TESS time series analysis in Python. 2019-10-21
r-digest public Implementation of a function 'digest()' for the creation of hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash' and 'spookyhash' algorithms) permitting easy comparison of R language objects, as well as functions such as'hmac()' to create hash-based message authentication code. Please note that this package is not meant to be deployed for cryptographic purposes for which more comprehensive (and widely tested) libraries such as 'OpenSSL' should be used. 2019-10-21
pillow public Pillow is the friendly PIL fork by Alex Clark and Contributors 2019-10-21
youtube-dl public YouTube video downloader 2019-10-21
ipyslurm public IPython extension for interacting with the Slurm Workload Manager from Jupyter notebook 2019-10-21
cftime public Time-handling functionality from netcdf4-python 2019-10-21
r-pmcmrplus public For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test, Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-Dunnett Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden's normal scores test for omnibus, all-pairs and many-to-one tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well as many-to-one (Nemenyi test, Dunn test, U-test) are given for the analysis of variance by ranks. Non-parametric trend tests (Jonckheere test, Cuzick test, Johnson-Mehrotra test, Spearman test) are included. In addition, a Friedman-test for one-way ANOVA with repeated measures on ranks (CRBD) and Skillings-Mack test for unbalanced CRBD is provided with consequent all-pairs tests (Nemenyi test, Siegel test, Miller test, Conover test, Exact test) and many-to-one tests (Nemenyi test, Demsar test, Exact test). A trend can be tested with Pages's test. Durbin's test for a two-way balanced incomplete block design (BIBD) is given in this package as well as Gore's test for CRBD with multiple observations per cell is given. Outlier tests, Mandel's k- and h statistic as well as functions for Type I error and Power analysis as well as generic summary, print and plot methods are provided. 2019-10-21
r-varhandle public Variables are the fundamental parts of each programming language but handling them efficiently might be frustrating for programmers. This package contains some functions to help user (especially data explorers) to make more sense of their variables and take the most out of variables and hardware resources. These functions are written, collected and crafted over 7 years of experience in statistical data analysis on high-dimensional data, and for each of them there was a need. Functions in this package are suppose to be efficient and easy to use, hence they will be frequently updated to make them more convenient. 2019-10-21
r-solrium public Provides a set of functions for querying and parsing data from 'Solr' (<>) 'endpoints' (local and remote), including search, 'faceting', 'highlighting', 'stats', and 'more like this'. In addition, some functionality is included for creating, deleting, and updating documents in a 'Solr' 'database'. 2019-10-21
r-catboost public CatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library. 2019-10-21
mkl_fft public NumPy-based implementation of Fast Fourier Transform using Intel (R) Math Kernel Library. 2019-10-21
pymongo public Python driver for MongoDB 2019-10-21
scrapy public A high-level Python Screen Scraping framework 2019-10-21
pymbolic public A package for symbolic computation 2019-10-21
earthengine-api public Earth Engine Python API 2019-10-21
catboost public Gradient boosting on decision trees library 2019-10-21
pytest-pep8 public No Summary 2019-10-21
heliopy public Python for space physics 2019-10-21
flask-appbuilder public Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. 2019-10-21
pcl public Point Cloud Library (PCL) 2019-10-21
elementpath public XPath 1.0/2.0 parsers and selectors for ElementTree 2019-10-21
r-stringdist public Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences. This package is built for speed and runs in parallel by using 'openMP'. An API for C or C++ is exposed as well. 2019-10-21
whitebox public An advanced geospatial data analysis platform 2019-10-21
tabulator public Consistent interface for stream reading and writing tabular data (csv/xls/json/etc) 2019-10-21
pymca public Mapping and X-Ray Fluorescence Analysis 2019-10-21
petsc public PETSc: Portable, Extensible Toolkit for Scientific Computation 2019-10-21
xeus-python public Jupyter kernel for the Python programming language based on xeus 2019-10-21
pyedflib public Library to read/write EDF+/BDF+ files based on EDFlib. 2019-10-21
asammdf public ASAM MDF measurement data file parser 2019-10-21
nspr public A platform-neutral API for system level and libc-like functions. 2019-10-21
r-jmvcore public A framework for creating rich interactive analyses for the jamovi platform (see <> for more information). 2019-10-21
siphon public A collection of Python utilities for accessing remote geoscience data 2019-10-21
tuiview public Simple raster viewer. Supports Geolinked Windows, Raster Attribute Querying and Editing and Geographic Selection, Vector Overlay, Flicker, Profile Tool. 2019-10-21
shap public A unified approach to explain the output of any machine learning model. 2019-10-21
r-rcppgsl public 'Rcpp' integration for 'GNU GSL' vectors and matrices The 'GNU Scientific Library' (or 'GSL') is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines. There are over 1000 functions in total with an extensive test suite. The 'RcppGSL' package provides an easy-to-use interface between 'GSL' data structures and R using concepts from 'Rcpp' which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses 'Rcpp' to connect to another third-party library. The 'autoconf' script, 'inline' plugin and example package can all be used as a stanza to write a similar package against another library. 2019-10-20
audioread public multi-library, cross-platform audio decoding 2019-10-20
compas_fab public Robotic fabrication package for the COMPAS Framework 2019-10-20
pyobjc-core public Python<->ObjC Interoperability Module 2019-10-20
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