conda-forge / packages

Package Name Access Summary Updated
qgis public A free and open source Geographic Information System (GIS). 2019-06-20
adaptive-scheduler public An asynchronous scheduler for Adaptive 2019-06-20
gobject-introspection public Middleware for binding GObject-based code to other languages. 2019-06-20
bilby_pipe public Automating the running of bilby for gravitational wave signals 2019-06-20
gawk public The awk utility interprets a special-purpose programming language that makes it easy to handle simple data-reformatting jobs. 2019-06-20
miniwdl public A static analysis toolkit for the Workflow Description Language 2019-06-20
aiohttp-jinja2 public jinja2 template renderer for aiohttp.web (http server for asyncio) 2019-06-20
aiohttp-session public sessions for aiohttp.web 2019-06-20
aiomcache public Minimal pure python memcached client 2019-06-20
aioredis public asyncio (PEP 3156) Redis support 2019-06-20
janus public Mixed sync-async queue to interoperate between asyncio tasks and classic threads 2019-06-20
aiohttp-security public security for aiohttp.web 2019-06-20
linbox public C++ library for exact, high-performance linear algebra 2019-06-20
eclib public The eclib package includes mwrank (for 2-descent on elliptic curves over Q) and modular symbol code used to create the elliptic curve database. 2019-06-20
singular public Singular is a computer algebra system for polynomial computations, with special emphasis on commutative and non-commutative algebra, algebraic geometry, and singularity theory 2019-06-20
gmt public The Generic Mapping Tools. 2019-06-20
xorg-libxi public The X.org input library. 2019-06-20
awscli public Universal Command Line Environment for AWS. 2019-06-20
gdal public GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. 2019-06-20
libgdal public The Geospatial Data Abstraction Library (GDAL) 2019-06-20
r-cairo public R graphics device using cairographics library that can be used to create high-quality vector (PDF, PostScript and SVG) and bitmap output (PNG,JPEG,TIFF), and high-quality rendering in displays (X11 and Win32). Since it uses the same back-end for all output, copying across formats is WYSIWYG. Files are created without the dependence on X11 or other external programs. This device supports alpha channel (semi-transparent drawing) and resulting images can contain transparent and semi-transparent regions. It is ideal for use in server environments (file output) and as a replacement for other devices that don't have Cairo's capabilities such as alpha support or anti-aliasing. Backends are modular such that any subset of backends is supported. 2019-06-19
phonopy public Phonopy is an open source package for phonon calculations at harmonic and quasi-harmonic levels. 2019-06-19
r-urltools public A toolkit for all URL-handling needs, including encoding and decoding, parsing, parameter extraction and modification. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs. 2019-06-19
skorch public A scikit-learn compatible neural network library that wraps pytorch 2019-06-19
r-lobstr public A set of tools for inspecting and understanding R data structures inspired by str(). Includes ast() for visualizing abstract syntax trees, ref() for showing shared references, cst() for showing call stack trees, and obj_size() for computing object sizes. 2019-06-19
r-tmb public With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates. 2019-06-19
r-stanheaders public The C++ header files of the Stan project are provided by this package, but it contains no R code or function documentation. There is a shared object containing part of the 'CVODES' library, but it 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. 2019-06-19
boto3 public Amazon Web Services SDK for Python 2019-06-19
r-rrcov public Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point. 2019-06-19
r-ranger public A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed. 2019-06-19
r-mvtnorm public Computes multivariate normal and t probabilities, quantiles, random deviates and densities. 2019-06-19
libcomcat public Python wrapper around ANSS ComCat API (plus tools). 2019-06-19
r-registry public Provides a generic infrastructure for creating and using registries. 2019-06-19
r-pls public Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS). 2019-06-19
r-qvcalc public Functions to compute quasi variances and associated measures of approximation error. 2019-06-19
r-elliptic public A suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions. 2019-06-19
r-cluster public Methods for Cluster analysis. Much extended the original from Peter Rousseeuw, Anja Struyf and Mia Hubert, based on Kaufman and Rousseeuw (1990) "Finding Groups in Data". 2019-06-19
featuretools public a framework for automated feature engineering 2019-06-19
nbgitpuller public Notebook Extension to do one-way synchronization of git repositories 2019-06-19
r-bayesm public Covers many important models used in marketing and micro-econometrics applications. The package includes: Bayes Regression (univariate or multivariate dep var), Bayes Seemingly Unrelated Regression (SUR), Binary and Ordinal Probit, Multinomial Logit (MNL) and Multinomial Probit (MNP), Multivariate Probit, Negative Binomial (Poisson) Regression, Multivariate Mixtures of Normals (including clustering), Dirichlet Process Prior Density Estimation with normal base, Hierarchical Linear Models with normal prior and covariates, Hierarchical Linear Models with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a mixture of normals prior and covariates, Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates, Hierarchical Negative Binomial Regression Models, Bayesian analysis of choice-based conjoint data, Bayesian treatment of linear instrumental variables models, Analysis of Multivariate Ordinal survey data with scale usage heterogeneity (as in Rossi et al, JASA (01)), Bayesian Analysis of Aggregate Random Coefficient Logit Models as in BLP (see Jiang, Manchanda, Rossi 2009) For further reference, consult our book, Bayesian Statistics and Marketing by Rossi, Allenby and McCulloch (Wiley 2005) and Bayesian Non- and Semi-Parametric Methods and Applications (Princeton U Press 2014). 2019-06-19
botocore public Low-level, data-driven core of boto 3. 2019-06-19
spdlib public The Sorted Pulse Data Library (SPDLib) provides a format for storing and tools for processing discrete return and full waveform LiDAR data from airborne and terrestrial sensors. 2019-06-19
shap public A unified approach to explain the output of any machine learning model. 2019-06-19
rsgislib public The Remote Sensing and GIS software library (RSGISLib) is a collection of Python modules for processing remote sensing and GIS datasets. 2019-06-19
pysolar public A collection of Python libraries for simulating the irradiation of any point on earth by the sun 2019-06-19
r-bookdown public Output formats and utilities for authoring books and technical documents with R Markdown. 2019-06-19
r-bigstep public Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity. 2019-06-19
intltool public Internationalization Tool Collection. 2019-06-19
r-betareg public Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for beta regressions are provided. 2019-06-19
descarteslabs public Descartes Labs Python Library 2019-06-19
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