conda-forge / packages

Package Name Access Summary Updated
ensmallen public ensmallen is a C++ header-only library for mathematical optimization. 2020-03-28
sunpy public SunPy is an open-source Python library for Solar Physics data analysis and visualization. 2020-03-28
pysimplegui public GUI SDK Launched in 2018 Actively developed and supported. Super-simple to create custom GUI's. Python 2.7 & 3 Support. 100 Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Rainmeter Style Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. Great for beginners as well as advanced GUI programmers 2020-03-28
lalsuite public LSC Algorithm Library Suite 2020-03-28
r-base public R is a free software environment for statistical computing and graphics. 2020-03-28
pyopencl public Python wrapper for OpenCL 2020-03-28
awscli public Universal Command Line Environment for AWS. 2020-03-28
lark-parser public a modern parsing library 2020-03-28
lalapps public LSC Algorithm Library Applications 2020-03-28
r-gghalves public A 'ggplot2' extension for easy plotting of half-half geom combinations. Think half boxplot and half jitterplot, or half violinplot and half dotplot. 2020-03-28
r-rematch2 public Wrappers on 'regexpr' and 'gregexpr' to return the match results in tidy data frames. 2020-03-28
deid public best effort anonymization for dicom images with Python 2020-03-28
boto3 public Amazon Web Services SDK for Python 2020-03-28
mosdef_cassandra public MoSDeF compatible wrapper for Cassandra Monte Carlo code 2020-03-28
nionui-tool public A native launcher for Nion UI apps. 2020-03-28
python-lalinference public LSC Algorithm Inference Library 2020-03-28
lalinference public LSC Algorithm Inference Library 2020-03-28
google-cloud-cpp-common public Google Cloud C++ client common libraries 2020-03-28
r-mxmmod public Provides a convenient interface in 'OpenMx' for building Estabrook's (2015) <doi:10.1037/a0034523> Measurement Model of Derivatives (MMOD). 2020-03-28
trimesh public Import, export, process, analyze and view triangular meshes. 2020-03-28
java-1.7.0-openjdk-cos7-aarch64 public (CDT) OpenJDK Runtime Environment 2020-03-28
python-lalinspiral public LSC Algorithm Inspiral Library 2020-03-28
lalinspiral public LSC Algorithm Inspiral Library 2020-03-28
java-1.7.0-openjdk-headless-cos7-aarch64 public (CDT) The OpenJDK runtime environment without audio and video support 2020-03-28
aws-sdk-cpp public C++ library that makes it easy to integrate C++ applications with AWS services 2020-03-28
nss-cos7-aarch64 public (CDT) Network Security Services 2020-03-28
sphinx-gallery public Sphinx extension for automatic generation of an example gallery 2020-03-28
nss-softokn-cos7-aarch64 public (CDT) Network Security Services Softoken Module 2020-03-28
python-lalpulsar public LSC Algorithm Pulsar Library 2020-03-28
lalpulsar public LSC Algorithm Pulsar Library 2020-03-28
cosmosis-standalone public A stand-alone installation of the CosmoSIS project. 2020-03-28
pyshacl public A Python validator for SHACL 2020-03-28
conda-forge-pinning public The baseline versions of software for the conda-forge ecosystem 2020-03-28
vtk public The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, modeling, image processing, volume rendering, scientific visualization, and information visualization. 2020-03-28
genozip public Compressor for VCF genomic files, up to 5x better than gzip and faster too 2020-03-28
gtkmm24-devel-cos7-ppc64le public (CDT) C++ interface for GTK2 (a GUI library for X) 2020-03-28
gtkmm24-cos7-ppc64le public (CDT) C++ interface for GTK2 (a GUI library for X) 2020-03-28
pciutils-devel-cos7-ppc64le public (CDT) CUPS printing system 2020-03-28
pciutils-libs-cos7-ppc64le public (CDT) CUPS printing system 2020-03-28
r-sn public Build and manipulate probability distributions of the skew-normal family and some related ones, notably the skew-t family, and provide related statistical methods for data fitting and model diagnostics, in the univariate and the multivariate case. 2020-03-28
r-afex public Convenience functions for analyzing factorial experiments using ANOVA or mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between, within (i.e., repeated-measures), or mixed (i.e., split-plot) ANOVAs for data in long format (i.e., one observation per row), automatically aggregating multiple observations per individual and cell of the design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed effects using either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex_plot() provides a high-level interface for interaction or one-way plots using ggplot2, combining raw data and model estimates. afex uses type 3 sums of squares as default (imitating commercial statistical software). 2020-03-28
orange3-educational public Educational widgets for machine learning and data mining in Orange 3. 2020-03-28
eigenpy public Bindings between Numpy and Eigen using Boost.Python 2020-03-28
tsfresh public Automatic extraction of relevant features from time series 2020-03-28
pyathena public Python DB API 2.0 (PEP 249) compliant client for Amazon Athena 2020-03-28
r-heatmaply public Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' as 'heatmap.2' or 'd3heatmap', with the advantage of speed ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes, and the placing of factor variables in the sides of the 'heatmap'. 2020-03-28
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. 2020-03-28
r-callr public It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that. 2020-03-28
hyperopt public Distributed Asynchronous Hyper-parameter Optimization 2020-03-28
pysm3 public Python Sky Model for Microwave and Submm experiments 2020-03-28
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