conda-forge / packages

Package Name Access Summary Updated
r-highlight public Syntax highlighter for R code based on the results of the R parser. Rendering in HTML and latex markup. Custom Sweave driver performing syntax highlighting of R code chunks. 2019-12-15
pyagrum public pyAgrum is a Python wrapper for the C++ aGrUM library. It provides a high-level interface to the part of aGrUM allowing to create, model, learn, use, calculate with and embed Bayesian Networks and other graphical models. Some specific (python and C++) codes are added in order to simplify and extend the aGrUM API. 2019-12-15
assertpy public Assertion library for python unit testing with a fluent API 2019-12-15
lifelines public Survival analysis in Python, including Kaplan Meier, Nelson Aalen and regression 2019-12-15
protobuf public Protocol Buffers - Google's data interchange format. 2019-12-15
r-dbi public A database interface definition for communication between R and relational database management systems. All classes in this package are virtual and need to be extended by the various R/DBMS implementations. 2019-12-15
opentsne public Extensible, parallel implementations of t-SNE 2019-12-15
parso public A Python Parser 2019-12-15
pagmo public A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model 2019-12-15
libprotobuf public Protocol Buffers - Google's data interchange format. C++ Libraries 2019-12-14
cmake public CMake is an extensible, open-source system that manages the build process 2019-12-14
r-broom public Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures. 2019-12-14
libgit2 public libgit2 is a portable, pure C implementation of the Git core methods provided as a re-entrant linkable library with a solid API, allowing you to write native speed custom Git applications in any language which supports C bindings. 2019-12-14
vega_datasets public A Python package for offline access to Vega datasets 2019-12-14
r-rmysql public Legacy 'DBI' interface to 'MySQL' / 'MariaDB' based on old code ported from S-PLUS. A modern 'MySQL' client based on 'Rcpp' is available from the 'RMariaDB' package. 2019-12-14
fplll public Lattice algorithms using floating-point arithmetic 2019-12-14
r-tidytree public Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data. 2019-12-14
pytest public Simple and powerful testing with Python. 2019-12-14
r-tfdatasets public Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <> for additional details. 2019-12-14
tika public Apache Tika Python library 2019-12-14
awscli public Universal Command Line Environment for AWS. 2019-12-13
boto3 public Amazon Web Services SDK for Python 2019-12-13
google-auth public Google authentication library for Python 2019-12-13
botocore public Low-level, data-driven core of boto 3. 2019-12-13
trimesh public Import, export, process, analyze and view triangular meshes. 2019-12-13
tiledb-py public Python interface to the TileDB sparse and dense multi-dimensional array storage manager 2019-12-13
cleo public Cleo allows you to create beautiful and testable command-line interfaces. 2019-12-13
conda-smithy None The tool for managing conda-forge feedstocks 2019-12-13
r-rastervis public Methods for enhanced visualization and interaction with raster data. It implements visualization methods for quantitative data and categorical data, both for univariate and multivariate rasters. It also provides methods to display spatiotemporal rasters, and vector fields. See the website for examples. 2019-12-13
tiledb public TileDB sparse and dense multi-dimensional array data management 2019-12-13
pandas-gbq public Pandas interface to Google Big Query 2019-12-13
paramiko public SSH2 protocol library 2019-12-13
lalapps public LSC Algorithm Library Applications 2019-12-13
r-mice public Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations. 2019-12-13
xorg-libxpm public The X11 pixmap library. 2019-12-13
habanero public CrossRef Search Low-level client for Python 2019-12-13
r-quantreg public Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included. 2019-12-13
r-geepack public Generalized estimating equations solver for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can also handle clustered categorical responses. 2019-12-13
r-sparsem public Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products. 2019-12-13
r-poibin public Implementation of both the exact and approximation methods for computing the cdf of the Poisson binomial distribution. It also provides the pmf, quantile function, and random number generation for the Poisson binomial distribution. 2019-12-13
squashfs-tools public Tools for creating and unpacking squashfs filesystems 2019-12-13
tvb-gdist public Compute geodesic distances 2019-12-13
wfdb public The WFDB Python Toolbox 2019-12-13
pygmo public A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model 2019-12-13
r-rmarkdown public Convert R Markdown documents into a variety of formats. 2019-12-13
datadog public The Datadog Python library 2019-12-13
yarn public Fast, reliable, and secure dependency management. 2019-12-13
r-base public R is a free software environment for statistical computing and graphics. 2019-12-13
krb5 public A network authentication protocol. 2019-12-12
r-catboost public CatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library. 2019-12-12
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