conda-forge / packages

Package Name Access Summary Updated
boto3 public Amazon Web Services SDK for Python 2020-05-28
botocore public Low-level, data-driven core of boto 3. 2020-05-28
youtube-dl public YouTube video downloader 2020-05-28
poppler public The Poppler PDF manipulation library. 2020-05-28
conda-forge-ci-setup public A package installed by conda-forge each time a build is run on CI. This package has side-effects to your conda config. 2020-05-28
pynwb public A Python API for working with Neurodata stored in the NWB Format 2020-05-28
dask public Parallel PyData with Task Scheduling 2020-05-28
dask-core public Parallel Python with task scheduling 2020-05-28
fonttools public fontTools is a library for manipulating fonts, written in Python. 2020-05-28
erlang public A programming language used to build massively scalable soft real-time systems with requirements on high availability. 2020-05-28
r-stanheaders public The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models. 2020-05-28
r-sjmisc public Collection of miscellaneous utility functions, supporting data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data, and all integrate seamlessly into a 'tidyverse'-workflow. 2020-05-28
libsemigroups public C++ library for semigroups and monoids 2020-05-28
r-precrec public Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics) curves. 2020-05-28
vaex-core public Core of vaex 2020-05-28
r-survminer public Contains the function 'ggsurvplot()' for drawing easily beautiful and 'ready-to-publish' survival curves with the 'number at risk' table and 'censoring count plot'. Other functions are also available to plot adjusted curves for `Cox` model and to visually examine 'Cox' model assumptions. 2020-05-28
r-maptpx public Posterior maximization for topic models (LDA) in text analysis, as described in Taddy (2012) `on estimation and selection for topic models'. Previous versions of this code were included as part of the textir package. If you want to take advantage of openmp parallelization, uncomment the relevant flags in src/MAKEVARS before compiling. 2020-05-28
adal public The ADAL for Python library makes it easy for python application to authenticate to Azure Active Directory (AAD) in order to access AAD protected web resources. 2020-05-28
r-gmm public It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several methods that belong to the Generalized Empirical Likelihood family of estimators (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>). 2020-05-28
arrow-cpp public C++ libraries for Apache Arrow 2020-05-28
pyarrow public Python libraries for Apache Arrow 2020-05-28
r-bayesplot public Plotting functions for posterior analysis, prior and posterior predictive checks, and MCMC diagnostics. The package is designed not only to provide convenient functionality for users, but also a common set of functions that can be easily used by developers working on a variety of R packages for Bayesian modeling, particularly (but not exclusively) packages interfacing with 'Stan'. 2020-05-28
r-c50 public C5.0 decision trees and rule-based models for pattern recognition that extend the work of Quinlan (1993, ISBN:1-55860-238-0). 2020-05-28
r-iso public Linear order and unimodal order (univariate) isotonic regression; bivariate isotonic regression with linear order on both variables. 2020-05-28
r-ifultools public Insightful Research Tools. 2020-05-28
flask-apispec public Build and document REST APIs with Flask and apispec 2020-05-28
locust public Website load testing framework 2020-05-28
earthengine-api public Earth Engine Python API 2020-05-28
brotli public Brotli compression format 2020-05-28
impactutils public Utility library for USGS earthquake applications. 2020-05-27
ablog public ABlog for blogging with Sphinx 2020-05-27
r-timereg public Programs for Martinussen and Scheike (2006), `Dynamic Regression Models for Survival Data', Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative residuals, excess risk models and more. Flexible competing risks regression including GOF-tests. Two-stage frailty modelling. PLS for the additive risk model. Lasso in the 'ahaz' package. 2020-05-27
r-protolite public Optimized C++ implementations for reading and writing protocol-buffers. Currently supports 'rexp.proto' for serializing R objects and 'geobuf.proto' for geojson data. This lightweight package is complementary to the much larger 'RProtoBuf' package which provides a full featured toolkit for working with protocol-buffers in R. 2020-05-27
cdo public CLI tools to manipulate and analyse Climate and NWP model Data 2020-05-27
pyprism public A python tool for Polymer Reference Interactions Site Model (PRISM) calculations 2020-05-27
r-semtools public Provides useful tools for structural equation modeling. 2020-05-27
pip public PyPA recommended tool for installing Python packages 2020-05-27
binutils_impl_linux-64 public A set of programming tools for creating and managing binary programs, object files, libraries, profile data, and assembly source code. 2020-05-27
flask-sqlalchemy public Adds SQLAlchemy support to your Flask application 2020-05-27
msrest public AutoRest swagger generator Python client runtime. 2020-05-27
identify public File identification library for Python 2020-05-27
tabulator public Consistent interface for stream reading and writing tabular data (csv/xls/json/etc) 2020-05-27
r-questionr public Set of functions to make the processing and analysis of surveys easier : interactive shiny apps and addins for data recoding, contingency tables, dataset metadata handling, and several convenience functions. 2020-05-27
ffmpeg public Cross-platform solution to record, convert and stream audio and video. 2020-05-27
r-dbplyr public A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author. 2020-05-27
r-reticulate public Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7. 2020-05-27
simplejson public Simple, fast, extensible JSON encoder/decoder for Python 2020-05-27
r-brms public Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Bürkner (2018) <doi:10.32614/RJ-2018-017>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>. 2020-05-27
r-ellipse public This package contains various routines for drawing ellipses and ellipse-like confidence regions, implementing the plots described in Murdoch and Chow (1996), A graphical display of large correlation matrices, The American Statistician 50, 178-180. There are also routines implementing the profile plots described in Bates and Watts (1988), Nonlinear Regression Analysis and its Applications. 2020-05-27
r-catboost public CatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library. 2020-05-27
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