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
dvc public DVC tracks ML models and data sets 2019-10-22
ros-topic-tools public Tools for directing, throttling, selecting, and otherwise messing with ROS topics at a meta level. 2019-10-22
ros-message-filters public A set of message filters. 2019-10-22
pooch public A friend to fetch your Python library's sample data files 2019-10-22
libignition-tools public Ignition Tools 2019-10-22
libignition-cmake0 public Ignition CMake : CMake Modules for Ignition Projects 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
awswrangler public Utility belt to handle data on AWS 2019-10-22
scikit-image public Image processing routines for SciPy. 2019-10-22
sagemaker-inference-toolkit public Open source toolkit for helping create serving containers to run on Amazon SageMaker. 2019-10-22
jupyterlab public An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. 2019-10-22
ros-catkin public Low-level build system macros and infrastructure for ROS. 2019-10-22
colcon-core public colcon is a command line tool to improve the workflow of building, testing and using multiple software packages. 2019-10-22
citrination-client public Reference implementation in python for Citrination api 2019-10-22
rb-jekyll-remote-theme public Jekyll plugin for building Jekyll sites with any GitHub-hosted theme 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
r-performance public Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. 2019-10-21
jax public Differentiate, compile, and transform Numpy 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
minikube public Run Kubernetes locally 2019-10-21
superlu_dist public Supernodal LU, solvers for large, sparse, nonsymmetric systems of linear equations. SuperLU_DIST is a parallel extension to the serial SuperLU library. 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
vcstool public vcstool provides a command line tool to invoke vcs commands on multiple repositories. 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
py-spy public Sampling profiler for Python programs 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
ros-rosbag-storage public This is a set of tools for recording from and playing back rosbags. 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
coinbonmin public COIN-OR Basic Open-source Nonlinear Mixed INteger programming 2019-10-21
heliopy public Python for space physics 2019-10-21
daetk public The Differential Algebraic Equation Toolkit 2019-10-21
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