This package provides an R wrapper around the argon library.

This package provides interactive data tables for R, based on the React Table JavaScript library. It provides an HTML widget that can be used in R Markdown documents and Shiny applications, or viewed from an R console.

This package provides a collection of custom input controls and user interface components for Shiny applications.

This package makes it easy to use React in R with htmlwidget scaffolds, helper dependency functions, an embedded Babel transpiler, and examples.

Building interactive web applications with R is incredibly easy with Shiny. Behind the scenes, Shiny builds a reactive graph that can quickly become intertwined and difficult to debug. The reactlog package provides a visual insight into that black box of Shiny reactivity by constructing a directed dependency graph of the application's reactive state at any time point in a reactive recording.

This package provides a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger compliant API.

This package implements piecewise structural equation modeling from a single list of structural equations, with new methods for non-linear, latent, and composite variables, standardized coefficients, query-based prediction and indirect effects.

The formr R package provides a few convenience functions that may be useful to the users of formr (formr.org), an online survey framework which heavily relies on R via openCPU. Some of the functions are for conveniently generating individual feedback graphics, some are just shorthands to make certain common operations in formr more palatable to R novices.

With the DiagrammeR package you can create, modify, analyze, and visualize network graph diagrams. The output can be incorporated into R Markdown documents, integrated with Shiny web apps, converted to other graph formats, or exported as image files.

Make Bootstrap 4 Shiny dashboards. Use the full power of AdminLTE3, a dashboard template built on top of Bootstrap 4.

This package gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.

This natural language processing toolkit provides language-agnostic tokenization, parts of speech tagging, lemmatization and dependency parsing of raw text. Next to text parsing, the package also allows you to train annotation models based on data of treebanks in CoNLL-U format as provided at https://universaldependencies.org/format.html. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at doi:10.18653/v1/K17-3009. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntactical patterns) sentiment scoring and semantic similarity analysis.

This package lets you create Bootstrap 4 dashboards powered by Argon.

This package allows exporting a DiagrammeR Graphviz objects to SVG.

This package plots path diagrams from models in lavaan using the plotting functionality from the DiagrammeR package. DiagrammeR provides nice path diagrams via Graphviz, and these functions make it easy to generate these diagrams from a lavaan path model without having to write the DOT language graph specification.

Redox is a C++ interface to the Redis key-value store that makes it easy to write applications that are both elegant and high-performance. Communication should be a means to an end, not something we spend a lot of time worrying about. Redox takes care of the details so you can move on to the interesting part of your project.

UVVM Light is a low threshold version of UVVM and is intended for developers who want to start using UVVM Utilty library and Bus Functional Models.

This package gathers GNAT binaries from FSF GCC releases of the Alire Project.

pyVHDLModel provides an unified abstract language model for VHDL written in Python.

GHDL Language Server Protocol (LSP) is a server for VHDL based on GHDL.

GHDL analyses, elaborates and simulates VHDL sources. It may also be used as an experimental synthesizer backend.

This plugin provides a shared library module for Yosys to implement logical synthesis of VHDL designs.

XDF is a general-purpose container format for multi-channel time series data with extensive associated meta information. XDF is tailored towards biosignal data such as EEG, EMG, EOG, ECG, GSR, MEG, but it can also handle data with high sampling rate (like audio) or data with a high number of channels (like fMRI or raw video). Meta information is stored as XML.

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.